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Video games help and harm U.S. teens — leading to both friendships and bullying, Pew survey says

By Cara Tabachnick

May 9, 2024 / 8:00 AM EDT / CBS News

Video games are where U.S. teens form friendships — but also where a majority say they experience bullying and name-calling, a Pew survey released Thursday found.

More than 1,400 teens from ages 13-17 participated in the survey last fall, answering questions on various aspects of  their relationship with video games . Some of the results are to be expected. For instance, a large majority of teens in the U.S. — more than 85% — play video games.

But other topics weren't so clear cut and painted a more complex picture of how teens viewed their experience. Survey participants reported video games were how they had fun and made friends, despite also reporting bullying, harassment and name-calling. But even with those issues, they still wanted to continue playing, saying gaming also helped them with their problem-solving skills and even their mental health. 

Most teens said they play video games for fun or "entertainment reasons," with around three-quarters saying they play to spend time with others. They said they don't see the games as harmful to themselves or their lifestyle, even though 40% said it hurt their sleep. 

Some 58% of respondents said they felt they played the right amount of video games. 

There were also stark differences in how different genders said they respond to and engage with video games.

Teen boys play video games far more often than girls — and almost two-thirds play them daily — with the activity making up a large portion of their social lives. More than half of the teen boys said video games helped them make friends, compared to 35% of girls surveyed. 

Black and Latino teens said they made friends at a higher rate than White teens, and the numbers jumped even higher for those who considered themselves gamers. 

Even with all the friendships made, about half of teen boys said they've been called offensive names while playing, with about a third of girls reporting the same. Eight in 10 said that bullying is an issue in video games and about one-third of the teens surveyed said it's a major problem.

Cara Tabachnick is a news editor at CBSNews.com. Cara began her career on the crime beat at Newsday. She has written for Marie Claire, The Washington Post and The Wall Street Journal. She reports on justice and human rights issues. Contact her at [email protected]

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New Pew Study Reports Most Parents of Gamers Say Video Games Have No Effect on Their Children

This week’s announcement from the Pew Internet & American Life Project revealed that more than 60 percent of parents of gamers say video games have no effect on their children.

SAN FRANCISCO, CA – This week's announcement from the Pew Internet & American Life Project revealed that more than 60 percent of parents of gamers say video games have no effect on their children—either positive or negative. But research indicates that video games do have an impact on kids.

The latest Pew study, Teens, Games and Civics, revealed that teens who played games with more civic learning opportunities—such as simulations of civic or political activities, helping others, and debating ethical issues—are more likely to go online to get information about politics or current events, give or raise money for charity, stay informed about political issues or current events, and volunteer.

However, there were M- and AO-rated games included in the study that contain violent content, like the Halo series. In fact, 32% of gaming teens report that at least one of their three favorite games is rated Mature or Adults Only. Past studies have shown that violent video games decrease empathy and increase aggressive behavior.

"This study is a great first step in highlighting the civic learning potential of games," says Jim Steyer, CEO and founder of Common Sense Media. "It recognizes that kids are collaborating and learning with these tools, but parents need to balance that with potential negatives. I know that, as a parent, I'd rather my kids collaborate on building a society, like in The Sims, than help each other destroy and kill in a first-person shooter game like Halo. It's up to each parent to recognize that media does have an effect and then decide what's best for their kids."

Parents can get involved by learning more about game content and playing games with their kids. Many games encourage creativity, collaboration, and learning without any exposure to violence, sexually explicit content, and commercialism. Here's our recommended list of age-appropriate games that encourage civic engagement:

Some facts about video games and kids from the study:

• 97% of teens ages 12 to 17 play computer, Web, or console games.
• Only 31% of parents say they always or sometimes play games with their kids.
• 12- to 14-year-olds are equally likely to play M- or AO-rated games as their 15- to 17-year-old counterparts.

Common Sense Media is the nation's leading nonpartisan, nonprofit organization dedicated to improving the impact of media and entertainment on kids and families. Common Sense Media provides trustworthy ratings and reviews of media and entertainment based on child development criteria created by leading national experts. For more information, visit www.commonsensemedia.org .

Press contacts: Leslie Sepuka (415)553-6768 [email protected]

Marisa Connolly (415) 553-6703 [email protected]

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Pew Research Center: American Teens & Video Games

The Pew Research Center has released new findings on how American teens play video games, revealing that 72% of U.S. teenagers view gaming as a way to spend time with others. It found that almost half of American teen gamers have made online friends through video games.

The center surveyed 1,423 U.S. teens aged between 13 to 17 about their video game habits to analyse their gaming habits.

The results show that playing video games is the norm for the American teenage demographic, with an 85% majority confirming that they do. Interestingly, while four-in-ten think of themselves as gamers, 45% of those who do play video games do not view themselves as gamers.

Notably, 97% of teen boys play video games, who are also far more likely than girls to play them daily and several times a day. In comparison, just over 70% of teen girls play video games, and less than a quarter play them daily. In addition, boys are more likely than girls to report both positive and negative experiences, like making friends or encountering harassment.

The study highlights how the social aspect of gaming is a key part of the experience for many American teens. Around 89% of those surveyed play video games with others, whether in-person or online. Around half report that they have made a friend online through a video game they both play.

After entertainment and spending time with others, competing with others is the third leading reason American teenagers like to play video games. Almost half of the teens surveyed play video games on a desktop or laptop, and around a quarter use virtual reality headsets to do so.

Furthermore, 47% say that playing video game has helped their friendships, and 41% share that it has helped how they work with others. Moreover, 32% say that gaming has improved their mental health.

While more than half agree that it has helped their problem-solving skills, 41% also admit that it has disrupted their sleep. Teens who report playing video games too much are also more likely to experience downsides like a negative impact on schoolwork.

Other disparities are outlined, with teens who report making a friend online through playing a video game more likely to identify as Black or Hispanic rather than White.

Similarly, teens who see themselves as gamers are far more likely to report making new friends online through doing so. They also more inclined than their counterparts to use Discord and Twitch regularly.

You can read the Pew Research Center’s findings in full here .

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Not everyone who plays video games is a gamer, study says

According to the report on “Gaming and Gamers,” which explores how video games are perceived in and outside of the community, 49 percent of American adults play video games of some sort — console, PC, mobile, and “TV” games — but only 10 percent would describe themselves as “gamers.” In other words, just one in five players identify with the term.

That minority 10 percent appears to be influential in the public’s perception regarding video games and the people who play them. In terms of gender, the study shows that 60 percent of adults, including the majority of women who play games, believe that most video game players are men. In reality, the gender spread is almost equal, with half of men and 48 percent of women playing games — but guys are almost three times as likely to describe themselves as “Gamers.” Similarly, while teens and 20-somethings are more likely to identify as a gamer, more than half of middle-aged adults, (30-49), and 40 percent of 50-64 year-olds play video games.

While opinions about the pros and cons of gaming are mixed, the study also suggests that people who play video games are much more likely to believe in the positive benefits of the practice, and actively disagree with negative effects. This is most clear when discussing the psychological effects of violent video games: 40 percent of all adults believe there is some correlation between playing violent video games and physical violence. The majority of game players, 64 percent, do not believe there is a link.

In a more general sense, 26 percent of Americans believe video games are “a waste of time” and 24 percent believe they are not.

While the public is largely split on issues related to gaming, including the portrayal of women and non-white ethnic groups, one thing is clear: there is a large divide between our perception and the realities of the gaming community at large.

You can check out the full study, which includes lots of graphs and plenty more statistics, at the Pew Research Center website .

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American consumers spent $977 million on consoles, video games, and accessories in May, NPD reported on Friday, a 52% year-over-year gain compared to the $642 million consumers spent in May 2019. Console sales were up 56% year-over-year to $235 million and video game sales skyrocketed by 67% to $438 million. Accessories revenue topped $304 million, a 32% surge year-over-year.

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9 facts about video games and the people who play them (from pew's new study).

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The Pew Research Center just released a new study on gaming and gamers. The author, Maeve Duggan, conducted the survey between June and July of this year. The sample included 2001 adults, distributed through all 50 states.

Some of the findings are surprising. For example, men and women seem to have the same opinions about portrayals of women in video games. Other findings are predictable: a good number of people still see games as a waste of time. Either way, studies like these are useful. Most of what we read in the media about video games tends to be polarized. It is either written by gaming enthusiasts or by gaming detractors. In both cases, the news tends to skew disproportionately in one particular direction. Duggan’s study gives us a good overview of how people in the United States currently think about video games.

Here are the top findings.

(Photo: Jordan Shapiro)

• Just how popular are video games, really? 49% of American adults play video games “on a computer, TV, game console, or portable device like a cellphone,” but only 10% consider themselves gamers.
• Who plays more games, men or women? While 60% of American adults believe that “most people who play games are men,” gender actually has little to do with whether or not you game: “A nearly identical share of men and women report ever playing video games (50% of men and 48% of women).”
• Gender does seem to impact whether or not you consider gaming a part of your identity . “Men are more than twice as likely to call themselves ‘gamers’ (15% vs. 6%). This is especially true among young adults, ages 18-29. 33% of men in this age range “say the term ‘gamer’ describes them well,” but only 9% of young women.
• The debate about video games and violence , although less prominent in the media than it once was, is actually still alive and well, even among gamers. Only “a slight majority of the public (53%) disagree with the statement ‘people who play violent video games are more likely to be violent themselves.’ 40% believe there is a relationship between game-world violence and life-world violence, even 32% of folks who play games themselves.
• There is still a video game stigma. 26% of people think “video games are a waste of time.” And “30% of adults do not think most games are a better form of entertainment than TV, almost triple the 11% who think this is true.”
• Few people believe in the benefits of video games , even despite all the articles I’ve written describing the research. When asked if “games help develop good problem solving and strategic thinking skills,” 17% agreed this was true about most games and 16% thought it was not. Almost half, or 47% believed “this is true of some games but not others.” 20% were unsure.
• Are gamers loners? 23% of people do not believe that games “promote teamwork and communication.” While only 10% believe they “ do promote these qualities.” 37% thinks it depends on the game.
• On the portrayal of minorities in video games …47% are “unsure if most games portray minorities poorly.” 23% think they do not, 20% say sometimes, and only 9% see the portrayal of minorities in games as problematic.
• On the portrayal of women in video games… 40% are unsure whether or games portray women poorly. 18% say it is “ not true for most games.” 14% say most games do indeed include problematic representations of women. 27% say it depends on the game. Also, there is no difference between how men and women answered this question.

To read the full report, click here.

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ORIGINAL RESEARCH article

The association between video gaming and psychological functioning.

• 1 Department of Psychology, Johannes Gutenberg University Mainz, Mainz, Germany
• 2 Department of Psychosomatic Medicine, University Medical Center, Mainz, Germany

Video gaming is an extremely popular leisure-time activity with more than two billion users worldwide ( Newzoo, 2017 ). However, the media as well as professionals have underscored the potential dangers of excessive video gaming. With the present research, we aimed to shed light on the relation between video gaming and gamers’ psychological functioning. Questionnaires on personality and psychological health as well as video gaming habits were administered to 2,734 individuals (2,377 male, 357 female, M age = 23.06, SD age = 5.91). Results revealed a medium-sized negative correlation between problematic video gaming and psychological functioning with regard to psychological symptoms, affectivity, coping, and self-esteem. Moreover, gamers’ reasons for playing and their preferred game genres were differentially related to psychological functioning with the most notable findings for distraction-motivated players as well as action game players. Future studies are needed to examine whether these psychological health risks reflect the causes or consequences of video gaming.

Introduction

Video gaming is a very popular leisure activity among adults ( Pew Research Center, 2018 ). The amount of time spent playing video games has increased steadily, from 5.1 h/week in 2011 to 6.5 h/week in 2017 ( The Nielsen Company, 2017 ). Video gaming is known to have some benefits such as improving focus, multitasking, and working memory, but it may also come with costs when it is used heavily. By spending a predominant part of the day gaming, excessive video gamers are at risk of showing lower educational and career attainment, problems with peers, and lower social skills ( Mihara and Higuchi, 2017 ). On the one hand, video game use is widespread, and it may come with certain precursors as well as consequences. On the other hand, little is known about the relations between various video gaming habits and psychological functioning. This study aims to shed light on these important relations using a large sample.

A video game is defined as “a game which we play thanks to an audiovisual apparatus and which can be based on a story” ( Esposito, 2005 ). In the last few years, the amount of scientific research devoted to video game playing has increased (e.g., Ferguson, 2015 ; Calvert et al., 2017 ; Hamari and Keronen, 2017 ). Most scientific studies in this area of research have focused on the extent of video game play and its diverse correlates. While some researchers have emphasized the benefits of game playing and even suggested a therapeutic use of video games ( Primack et al., 2012 ; Granic et al., 2014 ; Colder Carras et al., 2018 ), others have been intrigued by its potential dangers ( Anderson et al., 2010 ; Müller and Wölfling, 2017 ).

Parents and professionals may be worried about their excessively playing children being “addicted.” However, problematic and potentially addictive video game use goes beyond the extent of playing (in hours per week; Skoric et al., 2009 ). It also includes such issues as craving, loss of control, and negative consequences of excessive gaming. While it is still a matter of debate whether problematic video game play should be considered a behavioral addiction , its status as a mental disorder has been clarified since the release of the DSM-5 in 2013. In the DSM-5, the American Psychiatric Association (2013) defined Internet Gaming Disorder with diagnostic criteria closely related to Gambling Disorder. Generally, this decision has been supported by many researchers (e.g., Petry et al., 2014 ) but has also caused controversies. Researchers have criticized the selection of diagnostic criteria and the vague definition of the Internet Gaming Disorder construct, which excludes offline games from being related to addictive use (e.g., Griffiths et al., 2016 ; Bean et al., 2017 ).

Several studies, literature reviews, and meta-analyses have focused on the correlates of problematic video gaming, usually assessed as a continuum with addiction marking the upper end of the scale (e.g., Ferguson et al., 2011 ; Kuss and Griffiths, 2012 ). The degree of addictive video game use has been found to be related to personality traits such as low self-esteem ( Ko et al., 2005 ) and low self-efficacy ( Jeong and Kim, 2011 ), anxiety, and aggression ( Mehroof and Griffiths, 2010 ), and even to clinical symptoms of depression and anxiety disorders ( Wang et al., 2018 ). Potential consequences of video game use have been identified as well, such as a lack of real-life friends ( Kowert et al., 2014a ), stress and maladaptive coping ( Milani et al., 2018 ), lower psychosocial well-being and loneliness ( Lemmens et al., 2011 ), psychosomatic problems ( Müller et al., 2015 ; Milani et al., 2018 ), and decreased academic achievement ( Chiu et al., 2004 ; Gentile, 2009 ). Effect sizes have varied widely across studies ( Ferguson et al., 2011 ). There seem to be sex and age differences with regard to video gaming behavior: potentially problematic video gaming was found to be more likely among males than females (e.g., Greenberg et al., 2010 ; Estévez et al., 2017 ), and among younger gamers ( Rehbein et al., 2016 ).

In addition to looking at problematic video game use and its relation to psychological functioning, it is relevant to also focus on why individuals play video games. Players use video games for very different reasons ( Ryan et al., 2006 ; Yee, 2006 ) such as to distract themselves from daily hassles or because they enjoy the social relationships they have developed in the virtual world. Potentially problematic video gaming has been found to be related to various reasons for playing such as coping and escape ( Hussain and Griffiths, 2009 ; Schneider et al., 2018 ), socialization ( Laconi et al., 2017 ), and personal satisfaction ( Ng and Wiemer-Hastings, 2005 ). Coping ( Laconi et al., 2017 ), social interaction, and competition were among the main reasons for gaming among males but not among females ( Lucas and Sherry, 2004 ). Mixed results emerged concerning age differences ( Greenberg et al., 2010 ), but especially younger gamers seemed to be motivated for video gaming by social interactions ( Hilgard et al., 2013 ). However, so far it remains unclear to what extent people’s various reasons for playing video games are differentially related to their psychological functioning.

Besides investigating the links between potentially problematic video game use and psychological functioning as well as between reasons for playing video games and psychological functioning, it is relevant to also look at which game genres individuals prefer. Correlates of preferences for certain game genres (e.g., simulation, strategy, action, role-playing) are cognitive enhancement ( Dobrowolski et al., 2015 ; Bediou et al., 2018 ), but also the amount of time spent playing ( Lemmens and Hendriks, 2016 ; Rehbein et al., 2016 ) and psychopathological symptoms ( Laconi et al., 2017 ). Males were shown to prefer action and strategy games, whereas females showed a preference for games of skill ( Scharkow et al., 2015 ; Rehbein et al., 2016 ). Younger gamers seemed to prefer action games, older players more so games of skill ( Scharkow et al., 2015 ). However, it is not yet understood to what extent preferences for certain video game genres are differentially related to psychological functioning.

Typically, research has focused merely on violent video games (e.g., Anderson and Bushman, 2001 ; Elson and Ferguson, 2014 ) or one specific game within one specific game genre (frequently World of Warcraft; Graham and Gosling, 2013 ; Visser et al., 2013 ; Herodotou et al., 2014 ), thereby neglecting the variety of possible gaming habits across various game genres.

In the present study, our objective was to examine the relation between video gaming and psychological functioning in a fine-grained manner. For this purpose, we examined psychological functioning by employing various variables such as psychological symptoms, coping strategies, and social support. Likewise, we assessed video gaming in a similarly detailed way, ranging from (a) problematic video game use, (b) the reasons for playing, to (c) the preferred game genres. This strategy prevented us from making potentially invalid generalizations about video gaming in general and allowed us to examine the spectrum of gaming habits and the respective relations between such habits and a diverse set of variables representing psychological functioning.

Playing video games excessively should be appealing to individuals with poor psychological functioning because games allow people to avoid their everyday problems and instead immerse themselves in another environment ( Taquet et al., 2017 ). Moreover, video games offer people a chance to connect with other people socially despite any more or less evident psychological problems they may have ( Kowert et al., 2014b ; Mazurek et al., 2015 ). On the other hand, potentially problematic video game use may also lead to psychological problems because it reduces the amount of time and the number of opportunities gamers have to practice real-life behavior ( Gentile, 2009 ). Thus, we expected to find a negative correlation between problematic video gaming and variables representing psychological functioning such that we expected more potentially problematic video game use to be related to dysfunctional coping strategies ( Wood and Griffith, 2007 ), negative affectivity ( Mathiak et al., 2011 ), and poor school performance ( Mihara and Higuchi, 2017 ). Moreover, we expected to find differential correlates of people’s reasons for playing video games and their psychological functioning: Playing for escape-oriented reasons such as distraction should go along with diverse indices of poor psychological functioning ( Király et al., 2015 ), whereas playing for gain-oriented reasons such as the storyline or the social connections in the game should be related to adequate psychological functioning ( Longman et al., 2009 ). Also, we expected to find people’s preferred game genres (e.g., strategy, action) to be differentially related to their psychological functioning ( Park et al., 2016 ). Finally, we aimed to shed light on the unique contribution of each measure of psychological functioning to the prediction of problematic video game use.

Materials and Methods

Participants 1.

A total of N = 2,891 individuals (2,421 male, 470 female) with a mean age of 23.17 years ( SD = 5.99, Range: 13–65) participated in our study. Of these participants, N = 2,734 (95%) confirmed their use of video games and were thus included in further analyses (2,377 male, 357 female, with a mean age of 23.06 years; SD = 5.91, Range: 13–65). The distribution of participants with regard to sex and age mirrors the findings of past research with males and younger individuals being more likely to play video games (e.g., Griffiths et al., 2004 ). Participants’ place of residence was Germany.

Procedure and Instruments 2

We posted links to our online questionnaire on various online forums as well as on popular online game sites. To achieve heterogeneity of the sample, no exclusion criteria other than having access to the Internet and understanding German were specified. As an incentive to participate in the study, four vouchers of 50€ were raffled.

Video Gaming

Potentially problematic video game use.

The AICA-S, the Scale for the Assessment of Internet and Computer game Addiction ( Wölfling et al., 2016 ), was used to assess participants’ gaming behavior with regard to potential problematic use. Based on the DSM criteria for Internet Gaming Disorder (tolerance, craving, loss of control, emotion regulation, withdrawal, and unsuccessful attempts to cut back), this standardized self-report scale consists of 15 items usually with a five-point scale ranging from 1 ( never ) to 5 ( very often ). The final score (Min = 0, Max = 27 points) is computed using weighted scoring (items with an item-total correlation > 0.55 in the norm sample are weighted double; Wölfling et al., 2011 ). The AICA-S score can be used to differentiate between regular (0–6.5 points) and problematic use of video games (7–13 points: abuse; 13.5–27 points: addiction). In our sample, N = 2,265 (83%) were identified as regular gamers, and N = 469 (17%) as problematic gamers. We used the AICA-S as a continuous variable for all further analyses ( M = 3.98, SD = 3.22, Range: 0–24). The instrument has been validated for different age groups in the general population and in clinical samples ( Müller et al., 2014a , 2019 , but note small sample size; Müller et al., 2014b ). Cronbach’s alpha was α = 0.70. As expected, the AICA-S score was correlated with male sex ( r = 0.17 ∗∗∗ ) and age ( r = –0.15 ∗∗∗ ). On average, participants played video games for M = 4.09 hours per weekday ( SD = 4.44, Range: 0–24), and M = 4.21 h per day at the weekend ( SD = 2.99, Range: 0–24).

Reasons for playing

Gamers indicated how often they played video games for certain reasons. They rated each of 10 reasons separately on Likert scales ranging from 1 ( never ) to 4 ( very often ). The most prevalent reasons were relaxation ( M = 2.96, SD = 0.91), amusement ( M = 2.94, SD = 0.85), and because of the storyline ( M = 2.67, SD = 1.10).

Game genres

Gamers were asked how often they usually played various video game subgenres such as first-person shooter, round-based strategy, massively multiplayer online role-playing games (MMORPGs), life simulations, and others. Ratings were made on Likert scales ranging from 1 ( never ) to 4 ( very often ). Using Apperley’s (2006) classification of game genres, we categorized the subgenres into the main genres action ( M = 2.54, SD = 0.84), strategy ( M = 2.13, SD = 0.80), role-playing ( M = 2.01, SD = 0.73), and simulation ( M = 1.58, SD = 0.44). A cluster for unclassified subgenres ( M = 1.54, SD = 0.39) was added to additionally account for such subgenres as jump’n’runs and games of skill. Descriptive statistics and intercorrelations for all measures (including sex and age) are presented in Supplementary Tables S1–S4 .

Psychological Functioning

Participants provided ratings of their psychological functioning on the following constructs:

General psychopathology

The SCL-K-9 ( Klaghofer and Brähler, 2001 ), a short version of the SCL-90-R ( Derogatis, 1975 ), was administered to assess participants’ subjective impairment regarding psychological symptoms (somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, and psychoticism). The SCL-K-9 score is strongly correlated with the original score of the SCL-90-R ( r = 0.93). The 9 items were answered on 5-point Likert-type scales ranging from 1 ( do not agree at all ) to 5 ( agree completely ). Cronbach’s alpha was satisfactory (α = 0.77).

We assessed 10 coping strategies with the Brief COPE ( Carver, 1997 ; German version by Knoll et al., 2005 ), which is the shorter version of the COPE ( Carver et al., 1989 ): self-distraction, denial, substance use, venting, self-blame, behavioral disengagement, acceptance, active coping, planning, and positive reframing. The two items per subscale were administered on 5-point Likert-type scales ranging from 1 ( never ) to 5 ( very often ). Intercorrelations of the two items per subscale ranged from r = 0.32, p < 0.001 for positive reframing to r = 0.78, p < 0.001 for substance use (with one exception: r = -0.05, p = 0.01 for self-distraction).

We measured general affect as a trait and affect during video gaming as a state using the German version ( Krohne et al., 1996 ) of the Positive and Negative Affect Schedule (PANAS; Watson et al., 1988 ). On a 5-point Likert-type scale ranging from 1 ( not at all ) to 5 ( completely ), participants rated the intensity of 20 adjectives. Cronbach’s alpha was α = 0.78 for general positive affect, α = 0.83 for general negative affect, α = 0.85 for positive affect while playing, and α = 0.83 for negative affect while playing.

The measure for the assessment of shyness in adults ( Asendorpf, 1997 ) consists of 5 items that were answered on a 5-point Likert-type scale ranging from 1 ( not at all ) to 5 ( completely ). Cronbach’s alpha was excellent (α = 0.86).

We administered the German version ( Elbing, 1991 ) of the NYU Loneliness Scale ( Rubenstein and Shaver, 1982 ). The 4 items were answered on 5- to 6-point Likert-type scales. Cronbach’s alpha was satisfactory (α = 0.79).

Preference for solitude

A 10-item measure of preference for solitude ( Nestler et al., 2011 ) was answered on a 6-point Likert-type scale ranging from 1 ( not at all ) to 6 ( completely ). Cronbach’s alpha was excellent (α = 0.86).

Life satisfaction

Participants answered a one-item life satisfaction measure on a 4-point Likert-type scale ranging from 1 ( not at all ) to 4 ( completely ).

Self-esteem

We administered the German version ( von Collani and Herzberg, 2003 ) of the Rosenberg Self-Esteem Scale (RSES; Rosenberg, 1979 ). The 10 items were answered on a 4-point Likert-type scale ranging from 1 ( not at all ) to 4 ( completely ). Cronbach’s alpha was excellent (α = 0.88).

Self-efficacy

We administered a 10-item generalized self-efficacy scale ( Schwarzer and Jerusalem, 1995 ), which was answered on a 4-point Likert-type scale ranging from 1 ( not at all ) to 4 ( completely ). Cronbach’s alpha was excellent (α = 0.86).

Social support and friends

We administered the perceived available social support subscale from the Berlin Social Support Scales (BSSS; Schwarzer and Schulz, 2003 ). The 8 items were answered on a 5-point Likert-type scale ranging from 1 ( not at all ) to 5 ( completely ). Cronbach’s alpha was excellent (α = 0.94). Participants indicated how many offline friends and offline acquaintances they had ( r = 0.44, p < 0.001) as well as how many online friends and online acquaintances they had ( r = 0.33, p < 0.001). Due to left-skewed distributions, we logarithmized the data before aggregation.

Participants reported their grade point average. German grades are assessed on a scale that ranges from 1 ( excellent ) to 6 ( insufficient ). Thus, higher scores indicate worse grades.

Participants further reported their sex and age. Both were used as control variables in further analyses.

In a first step, we computed zero-order correlations between the video gaming variables and the measures of psychological functioning. In a second step, we computed partial correlations in which we controlled for sex and age because past research has repeatedly shown that sex and age are correlated with both video gaming ( Homer et al., 2012 ; Mihara and Higuchi, 2017 ) and psychological functioning ( Kessler et al., 2007 ; Nolen-Hoeksema, 2012 ). Finally, we explored the unique contribution of each measure of psychological functioning to the prediction of potentially problematic video gaming. Therefore, we computed regressions with potentially problematic video gaming as the dependent variable and sex, age, and the measures of psychological functioning as predictors (entered simultaneously into the regression equation). By employing this procedure, we were able to determine the effect that each variable had over and above the other ones. For instance, we could identify whether general psychopathology was predictive of potentially problematic video game use when the influence of all other variables (e.g., shyness, loneliness, and others) was held constant.

Additionally, we included analyses regarding sex and age differences in the link between video gaming and psychological functioning. Since we collected a self-selected sample where different sexes and age groups were not represented equally, our findings are only preliminary, but may stimulate future research.

Potentially Problematic Video Game Use and Psychological Functioning

First, we examined whether potentially problematic video game use was related to various psychological functioning variables. As can be seen in Table 1 , the results for the zero-order correlations were similar to those for the partial correlations in which we controlled for sex and age. A medium-sized positive relation to the potentially problematic use of video games emerged for the presence of psychological symptoms including depression, anxiety, and hostility. Furthermore, several coping strategies were differentially associated with the potentially problematic use of video games: Self-blame and behavioral disengagement showed the strongest positive relations to potentially problematic video game use, followed by denial, acceptance, substance use, self-distraction, and venting. Planning, active coping, and, to a lesser extent, positive reframing were negatively associated with the potentially problematic use of video games. Moreover, the association with potentially problematic video game use was negative for general positive affect and positive and larger in size for general negative affect. However, potentially problematic video game use was clearly positively associated with the experience of both positive and negative affect while playing. Further, a preference for solitude, shyness, and loneliness were positively correlated with the potentially problematic use of video games. Lower self-esteem, lower life satisfaction, and, to a lesser extent, poorer perceived social support and lower self-efficacy went along with potentially problematic video game use. There was an association between fewer offline friends and acquaintances but more online connections with potentially problematic video gaming. Finally, poorer performance in school (i.e., higher grades) was related to the potentially problematic use of video games. These results suggest that potentially problematic video gaming goes along with poor psychological functioning and vice versa.

Table 1. Associations between potentially problematic video gaming and psychological functioning.

Reasons for Playing Video Games and Psychological Functioning

Second, we investigated whether players’ reasons for playing video games were differentially related to the psychological functioning variables. Table 2 presents the partial correlations, controlling for sex and age. Using video games to distract oneself from stress was clearly connected to a high level of psychological symptoms. Distraction-motivated gamers preferred coping strategies such as self-blame, behavioral disengagement, self-distraction, denial, substance use, venting, and acceptance, but they neglected active coping and planning. They showed less general positive affect and more negative affect both in general and while playing as well as more positive affect while playing. These gamers further reported low self-esteem and low life satisfaction, loneliness, a preference for solitude, shyness, a lack of self-efficacy and social support, and poor achievement in school. A similar but somewhat less extreme picture was revealed for gamers who played video games in order to have something to talk about . However, these gamers reported more online connections. Gamers who played video games to improve their real-life abilities also reported more online connections. In addition, these gamers showed higher levels of general positive affect. The strongest association with online friends and acquaintances emerged, as expected, for gamers who played because of the social relations in the virtual world. Although all reasons for playing video games were related to positive affect while playing, the strongest associations emerged for gamers who played because of the social relations , to stimulate their imagination , and for curiosity . It is interesting that, for gamers who played video games because of the storyline and for relaxation , there was a relation only to positive but not to negative affect while playing. Reasons for playing were only weakly related to sex and age (see Supplementary Table S2 ). In sum, several reasons for playing video games were differentially associated with psychological functioning.

Table 2. Associations between reasons for playing video games and psychological functioning.

Video Game Genre and Psychological Functioning

Third, we examined whether players’ preferences for different video game genres were differentially associated with the measures of psychological functioning. Table 3 shows the partial correlations in which we controlled for sex and age. There was a weak connection between general psychological symptoms and all of the video game genres we investigated except strategy. A preference for action games had the strongest association with affect while playing. Thus, action games seem to be both rewarding and a source of frustration. A preference for action games went along with poorer school performance. Gamers who preferred role-playing games scored higher on shyness and a preference for solitude and lower on self-esteem; they also reported fewer offline connections. By contrast, preferences for games of the unclassified category on average went along with a larger number of offline friends and more positive affect, both while playing and in general. Two game genres (i.e., role-playing and unclassified games) were related to the coping strategy of self-distraction. Because preferred game genre was related to participants’ sex (see Supplementary Table S3 ), we had a more detailed look at the correlations between preferred game genre and psychological functioning separately for both sexes: For males ( n = 2,377), the strongest correlation between general psychopathology and game genre emerged for action ( r = 0.08, p < 0.001), followed by role playing ( r = 0.07, p < 0.01), and unclassified ( r = 0.07, p < 0.01). For females ( n = 357), the strongest relation between general psychopathology and game genre emerged for simulation ( r = 0.17, p < 0.01). Differences were also found regarding the strength of the relation between number of friends online and the genre action: r = 0.06, p < 0.01 for males, and r = 0.27, p < 0.001 for females. Similarly, preferred game genre was related to participants’ age (see Supplementary Table S3 ). However, there were merely differences with regard to the relation of psychological functioning and game genre, when analyzed separately for different age groups (<19 years, n = 557; 19–30 years, n = 1916; >31 years, n = 261). In sum, our results speak to the idea that individuals with different levels of psychological functioning differ in their choices of game genres and vice versa.

Table 3. Associations between preferred video game genre and psychological functioning.

Predicting Potentially Problematic Video Game Use by Psychological Functioning Variables

In a final step, we entered all of the investigated psychological functioning variables as well as sex and age as predictors of the potentially problematic use of video games. By employing this procedure, we were able to determine the unique contribution of each psychological functioning variable when the influence of all other variables was held constant. As Table 4 shows, the number of online friends and acquaintances as well as positive affect while playing were most predictive of potentially problematic video game use over and above all other variables. General psychopathology, a lack of offline connections, and poor school performance were weaker but still relevant predictors of potentially problematic video game use.

Table 4. Prediction of potentially problematic video game use by psychological functioning variables.

With this study, we aimed to shed light on the association of diverse video gaming habits with gamers’ psychological functioning. Drawing on a large sample, our results revealed a medium-sized relation between potentially problematic video game use and poor psychological functioning with regard to general psychological symptoms, maladaptive coping strategies, negative affectivity, low self-esteem, and a preference for solitude as well as poor school performance. These findings are in line with those of prior work (e.g., Kuss and Griffiths, 2012 ; Milani et al., 2018 ). Also, reasons for playing video games were differentially related to psychological functioning with the most pronounced findings for escape-oriented in contrast to gain-oriented motives. Specifically, distraction-motivated gaming went along with higher symptom ratings, lower self-esteem, and more negative affectivity, whereas playing to establish social relationships in the virtual world was related to a larger number of online connections and more positive affect while playing. Furthermore, there were only weak relations between the preferred game genres and psychological functioning. The action games genre was associated with the strongest ratings of affect while playing. These results on reasons and genres may help to explain conflicting findings of former studies, because in our work we examined various reasons for playing, several game genres, and various aspects of psychological functioning simultaneously. Finally, positive affect while playing and a larger number of online friends were the strongest unique predictors of potentially problematic video game use, followed by psychological symptoms, a lack of offline connections, and poor school performance. These findings suggest that, on the one hand, independent of one’s psychological conditions, enjoying oneself during gaming (i.e., experiencing positive affect, connecting with online friends) may go along with potentially problematic use of video games. On the other hand, poor psychological functioning seems to be a unique risk factor for potentially problematic video gaming.

The presented results are generally in line with previous work that has identified a connection between video gaming and psychological health, academic problems, and social problems ( Ferguson et al., 2011 ; Müller et al., 2015 ). However, our study moved beyond prior research by providing in-depth analyses of both video gaming habits (including potentially problematic use, reasons for playing, and preferred game genre) and psychological functioning (including psychological symptoms, coping styles, affectivity, as well as variables that are related to individuals and their social environments). In addition, we identified unique predictors of potentially problematic video game use.

How can the findings on differential relations between video gaming and various indices of psychological functioning – ranging from beneficial results ( Latham et al., 2013 ) to unfavorable results ( Barlett et al., 2009 ; Möller and Krahé, 2009 ; Anderson et al., 2010 ) – be integrated? According to Kanfer and Phillips (1970) , problematic behavior (e.g., excessive video gaming) can be understood as a function of the situation (e.g., being rejected by a peer); the organism (e.g., low self-esteem); the person’s thoughts, physical reactions, and feelings (e.g., sadness, anger); and finally, the short- as well as long-term consequences of the behavior (termed SORKC model). In the short run, according to our results, playing video games may be a way to distract oneself from everyday hassles and may lead to positive affect while playing and a feeling of being connected to like-minded people, all of which are factors that have an immediate reinforcing value. In the long run, however, spending many hours per day in front of a computer screen may prevent a person from (a) developing and practicing functional coping strategies, (b) finding friends and support in the social environment, and (c) showing proper school achievement, factors that are potentially harmful to the person. Thus, differentiating between short- and long-term perspectives may help us understanding the differential correlates of intensive video gaming.

When is it appropriate to speak of video game addiction? More and more researchers have suggested a continuum between engagement ( Charlton and Danforth, 2007 ; Skoric et al., 2009 ) and pathological gaming/addiction, instead of a categorical perspective. In part, this recommendation has also been followed in the DSM-5 ( American Psychiatric Association, 2013 ) where Internet Gaming Disorder is classified with different degrees of severity, ranging from mild to moderate to severe, according to the functional impairment associated with it. The AICA-S also allows for a differential perspective on gaming behavior by providing ways to assess both the time spent playing video games and the main DSM criteria that indicate Internet Gaming Disorder. However, in our study we did not aim at making a diagnosis, but at having a closer look at potentially problematic gaming behavior and its correlates in a non-clinical sample.

In sum, it seems relevant to assess not only the extent of video game use but also the reasons behind this behavior (e.g., distraction) and the concrete rewards that come from playing (e.g., the experience of strong affect while playing action games) to fully understand the relation between video gaming and psychological functioning.

Limitations and Future Directions

With the present study, we aimed to uncover the association between video gaming and psychological functioning. Our approach was cross-sectional and warrants interpretative caution because correlations cannot determine the direction of causation. It remains unclear whether potentially problematic gaming is a factor that contributes to the development of psychological dysfunction or whether psychological dysfunction contributes to potentially problematic gaming. Also, a third factor (e.g., preexisting mental difficulties) may produce both psychological dysfunction and potentially problematic gaming. Thus, longitudinal studies that are designed to identify the causal pathway may provide a promising avenue for future research. Future studies may also answer the question whether the link between video gaming and psychological functioning is moderated by sex, age, the reasons for playing, or the preferred game genre. In addition, it is important not to forget that the present results are based on a self-selected sample in which potentially problematic video gamers were overrepresented (e.g., Festl et al., 2013 , for a representative sample). Thus, future research should replicate our findings in a representative sample. Further, we relied on self-reported data, which is a plausible method for assessing inner affairs such as people’s reasons for their behaviors, but it would be helpful to back up our findings with evidence derived from sources such as peers, caregivers, and health specialists. Our work reflects only a first approach to the topic, and future work may additionally collect in-game behavioral data from the players ( McCreery et al., 2012 ; Billieux et al., 2013 ) to objectively and more specifically investigate diverse patterns of use. Furthermore, one must not forget that the used taxonomy to classify video game genres is only one of various possible options and one should “think of each individual game as belonging to several genres at once” ( Apperley, 2006 , p. 19). Finally, some of the effects reported in our paper were rather modest in size. This is not surprising considering the complexity and multiple determinants of human behavior. In our analyses, we thoroughly controlled for the influence of sex and age and still found evidence that video gaming was differentially related to measures of psychological functioning.

The current study adds to the knowledge on gaming by uncovering the specific relations between video gaming and distinct measures of psychological functioning. Potentially problematic video gaming was found to be associated with positive affect and social relationships while playing but also with psychological symptoms, maladaptive coping strategies, negative affectivity, low self-esteem, a preference for solitude, and poor school performance. Including gamers’ reasons for playing video games and their preferred game genres helped deepen the understanding of the specific and differential associations between video gaming and psychological health. This knowledge might help developing adequate interventions that are applied prior to the occurrence of psychological impairments that may go along with potentially problematic video gaming.

Ethics Statement

In our online survey, participants were given information on voluntary participation, risks, confidentiality/anonymity, and right to withdraw. Whilst participants were not signing a separate consent form, consent was obtained by virtue of completion. We implemented agreed procedures to maintain the confidentiality of participant data.

Author Contributions

BB, BE, JH, and KM conceived and designed the study. BB, JH, and KM collected and prepared the data. JH analyzed the data. BE and JH wrote the manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2019.01731/full#supplementary-material

• ^ The data were gathered as part of a larger project ( Stopfer et al., 2015 ; Braun et al., 2016 ). However, the analyses in the present article do not overlap with analyses from previous work.
• ^ Other measures were administered, but they were not relevant to the present research questions and are thus not mentioned in this paper. The data set and analysis script supporting the conclusions of this manuscript can be retrieved from https://osf.io/emrpw/?view_only=856491775efe4f99b407e258c2f2fa8d .

American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders: DSM-5 , 5th Edn. Washington DC: American Psychiatric Association.

Google Scholar

Anderson, C. A., and Bushman, B. J. (2001). Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: a meta-analytic review of the scientific literature. Psychol. Sci. 12, 353–359. doi: 10.1111/1467-9280.00366

PubMed Abstract | CrossRef Full Text | Google Scholar

Anderson, C. A., Shibuya, A., Ihori, N., Swing, E. L., Bushman, B. J., Sakamoto, A., et al. (2010). Violent video game effects on aggression, empathy, and prosocial behavior in eastern and western countries: a meta-analytic review. Psychol. Bull. 136, 151–173. doi: 10.1037/a0018251

Apperley, T. H. (2006). Genre and game studies: toward a critical approach to video game genres. Simul. Gaming 37, 6–23. doi: 10.1177/1046878105282278

CrossRef Full Text | Google Scholar

Asendorpf, J. B. (1997). SGSE-Schüchternheits- und Geselligkeitsskalen für Erwachsene [Scales on shyness and sociality for adults ]. Berlin: Humboldt-Universität.

Barlett, C. P., Anderson, C. A., and Swing, E. L. (2009). Video game effects—Confirmed, suspected, and speculative: a review of the evidence. Simul. Gaming 40, 377–403. doi: 10.1177/1046878108327539

Bean, A. M., Nielsen, R. K. L., van Rooij, A. J., and Ferguson, C. J. (2017). Video game addiction: the push to pathologize video games. Prof. Psychol. Res. Pr. 48, 378–389. doi: 10.1037/pro0000150

Bediou, B., Adams, D. M., Mayer, R. E., Tipton, E., Green, C. S., and Bavelier, D. (2018). Meta-analysis of action video game impact on perceptual, attentional, and cognitive skills. Psychol. Bull. 144, 77–110. doi: 10.1037/bul0000130

Billieux, J., Van der Linden, M., Achab, S., Khazaal, Y., Paraskevopoulos, L., Zullino, D., et al. (2013). Why do you play World of Warcraft? An in-depth exploration of self-reported motivations to play online and in-game behaviours in the virtual world of Azeroth. Comput. Hum. Behav. 29, 103–109. doi: 10.1016/j.chb.2012.07.021

Braun, B., Stopfer, J. M., Müller, K. W., Beutel, M. E., and Egloff, B. (2016). Personality and video gaming: comparing regular gamers, non-gamers, and gaming addicts and differentiating between game genres. Comput. Hum. Behav. 55, 406–412. doi: 10.1016/j.chb.2015.09.041

Calvert, S. L., Appelbaum, M., Dodge, K. A., Graham, S., Nagayama Hall, G. C., Hamby, S., et al. (2017). The american psychological association task force assessment of violent video games: science in the service of public interest. Am. Psychol. 72, 126–143. doi: 10.1037/a0040413

Carver, C. S. (1997). You want to measure coping but your protocol’s too long: consider the brief cope. Int. J. Behav. Med. 4, 92–100. doi: 10.1207/s15327558ijbm0401_6

Carver, C. S., Scheier, M. F., and Weintraub, J. K. (1989). Assessing coping strategies: a theoretically based approach. J. Personal. Soc. Psychol. 56, 267–283. doi: 10.1037/0022-3514.56.2.267

Charlton, J. P., and Danforth, I. D. (2007). Distinguishing addiction and high engagement in the context of online game playing. Comput. Hum. Behav. 23, 1531–1548. doi: 10.1016/j.chb.2005.07.002

Chiu, S. I., Lee, J. Z., and Huang, D. H. (2004). Video game addiction in children and teenagers in Taiwan. Cyberpsychol. Behav. 7, 571–581. doi: 10.1089/cpb.2004.7.571

Colder Carras, M., Van Rooij, A. J., Spruijit-Metz, D., Kvedar, J., Griffiths, M. D., Carabas, Y., et al. (2018). Commercial video games as therapy: a new research agenda to unlock the potential of a global pastime. Front. Psychiatry 8:300. doi: 10.3389/fpsyt.2017.00300

Derogatis, L. R. (1975). SCL-90-R: Symptom Checklist-90-R: Administration, Scoring, and Procedures Manual. London: NCS Pearson.

Dobrowolski, P., Hanusz, K., Sobczyk, B., Skorko, M., and Wiatrow, A. (2015). Cognitive enhancement in video game players: the role of video game genre. Comput. Hum. Behav. 44, 59–63. doi: 10.1016/j.chb.2014.11.051

Elbing, E. (1991). Einsamkeit: Psychologische Konzepte, Forschungsbefunde und Treatmentansätze [Loneliness: Psychological Concepts, Research Findings, and Treatments]. Göttingen: Hogrefe.

Elson, M., and Ferguson, C. J. (2014). Twenty-five years of research on violence in digital games and aggression: empirical evidence, perspectives, and a debate gone astray. Eur. Psychol. 19, 33–46. doi: 10.1027/1016-9040/a000147

Esposito, N. (2005). “A short and simple definition of what a videogame is,” in Proceedings of the DiGRA (Digital Games Research Association) Conference: Changing Views-Worlds in Play , (British Columbia: University of Vancouver).

Estévez, A., Jáuregui, P., Sánchez-Marcos, I., López-González, H., and Griffiths, M. D. (2017). Attachment and emotion regulation in substance addictions and behavioral addictions. J. Behav. Addict. 6, 534–544. doi: 10.1556/2006.6.2017.086

Ferguson, C. J. (2015). Do angry birds make for angry children? A meta-analysis of video game influences on children’s and adolescents’ aggression, mental health, prosocial behavior, and academic performance. Perspect. Psychol. Sci. 10, 646–666. doi: 10.1177/1745691615592234

Ferguson, C. J., Coulson, M., and Barnett, J. (2011). A meta-analysis of pathological gaming prevalence and comorbidity with mental health, academic and social problems. J. Psychiatr. Res. 45, 1573–1578. doi: 10.1016/j.jpsychires.2011.09.005

Festl, R., Scharkow, M., and Quandt, T. (2013). Problematic computer game use among adolescents, younger and older adults. Addiction 108, 592–599. doi: 10.1111/add.12016

Gentile, D. (2009). Pathological video-game use among youth ages 8 to 18: a national study. Psychol. Sci. 20, 594–602. doi: 10.1111/j.1467-9280.2009.02340.x

Graham, L. T., and Gosling, S. D. (2013). Personality profiles associated with different motivations for playing World of Warcraft. Cyberpsychol. Behav. Soc. Netw. 16, 189–193. doi: 10.1089/cyber.2012.0090

Granic, I., Lobel, A., and Engels, R. C. (2014). The benefits of playing video games. Am. Psychol. 69, 66–78. doi: 10.1037/a0034857

Greenberg, B. S., Sherry, J., Lachlan, K., Lucas, K., and Holmstrom, A. (2010). Orientations to video games among gender and age groups. Simul. Gaming 41, 238–259. doi: 10.1177/1046878108319930

Griffiths, M., Van Rooij, A. J., Kardefeldt-Winther, D., Starcevic, V., Király, O., Pallesen, S., et al. (2016). Working towards an international consensus on criteria for assessing internet gaming disorder: a critical commentary on Petry et al. (2014). Addiction 111, 167–175. doi: 10.1111/add.13057

Griffiths, M. D., Davies, M. N., and Chappell, D. (2004). Demographic factors and playing variables in online computer gaming. CyberPsychol. Behav. 7, 479–487. doi: 10.1089/cpb.2004.7.479

Hamari, J., and Keronen, L. (2017). Why do people play games? A meta-analysis. Int. J. Inform. Manag. 37, 125–141. doi: 10.1016/j.ijinfomgt.2017.01.006

Herodotou, C., Kambouri, M., and Winters, N. (2014). Dispelling the myth of the socio-emotionally dissatisfied gamer. Comput. Hum. Behav. 32, 23–31. doi: 10.1016/j.chb.2013.10.054

Hilgard, J., Engelhardt, C. R., and Bartholow, B. D. (2013). Individual differences in motives, preferences, and pathology in video games: the gaming attitudes, motives, and experiences scales (GAMES). Front. Psychol. 4:608. doi: 10.3389/fpsyg.2013.00608

Homer, B. D., Hayward, E. O., Frye, J., and Plass, J. L. (2012). Gender and player characteristics in video game play of preadolescents. Comput. Hum. Behav. 28, 1782–1789. doi: 10.1016/j.chb.2012.04.018

Hussain, Z., and Griffiths, M. D. (2009). Excessive use of massively multi-player online role-playing games: a pilot study. Int. J. Mental Health Addict. 7:563. doi: 10.1007/s11469-009-9202-8

Jeong, E. J., and Kim, D. H. (2011). Social activities, self-efficacy, game attitudes, and game addiction. Cyberpsychol. Behav. Soc. Netw. 14, 213–221. doi: 10.1089/cyber.2009.0289

Kanfer, F. H., and Phillips, J. (1970). Learning Foundations of Behavior Therapy. New York, NY: Wiley.

Kessler, R. C., Amminger, G. P., Aguilar-Gaxiola, S., Alonso, J., Lee, S., and Ustun, T. B. (2007). Age of onset of mental disorders: a review of recent literature. Curr. Opin. Psychiatry 20, 359–364. doi: 10.1097/YCO.0b013e32816ebc8c

Király, O., Urbán, R., Griffith, M. D., Ágoston, C., Nagygyörgy, K., Kökönyei, G., et al. (2015). The mediating effect of gaming motivation between psychiatric symptoms and problematic online gaming: an online survey. J. Med. Int. Res. 17:e88. doi: 10.2196/jmir.3515

Klaghofer, R., and Brähler, E. (2001). Konstruktion und teststatistische Prüfung einer Kurzform der SCL-90-R [Construction and statistical evaluation of a short version of the SCL-90-R]. Z. Klin. Psychol. Psychiatr. Psychother. 49, 115–124.

Knoll, N., Rieckmann, N., and Schwarzer, R. (2005). Coping as a mediator between personality and stress outcomes: a longitudinal study with cataract surgery patients. Eur. J. Personal. 19, 229–247. doi: 10.1002/per.546

Ko, C. H., Yen, J. Y., Chen, C. C., Chen, S. H., and Yen, C. F. (2005). Gender differences and related factors affecting online gaming addiction among Taiwanese adolescents. J. Nervous Mental Dis. 193, 273–277. doi: 10.1097/01.nmd.0000158373.85150.57

Kowert, R., Domahidi, E., Festl, R., and Quandt, T. (2014a). Social gaming, lonely life? The impact of digital game play on adolescents’ social circles. Comput. Hum. Behav. 36, 385–390. doi: 10.1016/j.chb.2014.04.003

Kowert, R., Domahidi, E., and Quandt, T. (2014b). The relationship between online video game involvement and gaming-related friendships among emotionally sensitive individuals. Cyberpsychol. Behav. Soc. Netw. 17, 447–453. doi: 10.1089/cyber.2013.0656

Krohne, H. W., Egloff, B., Kohlmann, C. W., and Tausch, A. (1996). Untersuchungen mit einer deutschen version der positive and negative affect schedule (PANAS) [Investigations with a German version of the PANAS]. Diagnostica 42, 139–156.

Kuss, D. J., and Griffiths, M. D. (2012). Internet gaming addiction: a systematic review of empirical research. Int. J. Mental Health Addict. 10, 278–296. doi: 10.1007/s11469-011-9318-5

Laconi, S., Pirès, S., and Chabrol, H. (2017). Internet gaming disorder, motives, game genres, and psychopathology. Comput. Hum. Behav. 75, 652–659. doi: 10.1016/j.chb.2017.06.012

Latham, A. J., Patston, L. L., and Tippett, L. J. (2013). The virtual brain: 30 years of video-game play and cognitive abilities. Front. Psychol. 4:629. doi: 10.3389/fpsyg.2013.00629

Lemmens, J. S., and Hendriks, S. J. F. (2016). Addictive online games: examining the relationship between game genres and internet gaming disorder. Cyberpsychol. Behav. Soc. Netw. 19, 270–276. doi: 10.1089/cyber.2015.0415

Lemmens, J. S., Valkenburg, P. M., and Peter, J. (2011). Psychosocial causes and consequences of pathological gaming. Comput. Hum. Behav. 27, 144–152. doi: 10.1016/j.chb.2010.07.015

Longman, H., O’Connor, E., and Obst, P. (2009). The effect of social support derived from World of Warcraft on negative psychological symptoms. Cyberpsychol. Behav. 12, 563–566. doi: 10.1089/cpb.2009.0001

Lucas, K., and Sherry, J. L. (2004). Sex differences in video game play: a communication-based explanation. Commun. Res. 31, 499–523. doi: 10.1177/0093650204267930

Mathiak, K. A., Klasen, M., Weber, R., Ackermann, H., Shergill, S. S., and Mathiak, K. (2011). Reward system and temporal pole contributions to affective evaluation during a first person shooter video game. BMC Neurosci. 12:66. doi: 10.1186/1471-2202-12-66

Mazurek, M. O., Engelhardt, C. R., and Clark, K. E. (2015). Video games from the perspective of adults with autism spectrum disorder. Comput. Hum. Behav. 51, 122–130. doi: 10.1016/j.chb.2015.04.062

McCreery, M. P., Krach, S. K., Schrader, P. G., and Boone, R. (2012). Defining the virtual self: personality, behavior, and the psychology of embodiment. Comput. Hum. Behav. 28, 976–983. doi: 10.1016/j.chb.2011.12.019

Mehroof, M., and Griffiths, M. D. (2010). Online gaming addiction: the role of sensation seeking, self-control, neuroticism, aggression, state anxiety, and trait anxiety. Cyberpsychol. Behav. 13, 313–316. doi: 10.1089/cyber.2009.0229

Mihara, S., and Higuchi, S. (2017). Cross-sectional and longitudinal epidemiological studies of Internet gaming disorder: a systematic review of the literature. Psychiatry Clin. Neurosci. 71, 425–444. doi: 10.1111/pcn.12532

Milani, L., La Torre, G., Fiore, M., Grumi, S., Gentile, D. A., Ferrante, M., et al. (2018). Internet gaming addiction in adolescence: risk factors and maladjustment correlates. Int. J. Mental Health Addict. 16, 888–904. doi: 10.1007/s11469-017-9750-2

Möller, I., and Krahé, B. (2009). Exposure to violent video games and aggression in German adolescents: a longitudinal analysis. Aggress. Behav. 35, 75–89. doi: 10.1002/ab.20290

Müller, K. W., Beutel, M. E., Dreier, M., and Wölfling, K. (2019). A clinical evaluation of the DSM-5 criteria for internet gaming disorder and a pilot study on their applicability to further Internet-related disorders. J. Behav. Addict. 8, 16–24. doi: 10.1556/2006.7.2018.140

Müller, K. W., Beutel, M. E., and Wölfling, K. (2014a). A contribution to the clinical characterization of internet addiction in a sample of treatment seekers: validity of assessment, severity of psychopathology and type of co-morbidity. Compr. Psychiatry 55, 770–777. doi: 10.1016/j.comppsych.2014.01.010

Müller, K. W., Glaesmer, H., Brähler, E., Wölfling, K., and Beutel, M. E. (2014b). Prevalence of internet addiction in the general population: results from a German population-based survey. Behav. Inform. Technol. 33, 757–766. doi: 10.1080/0144929X.2013.810778

Müller, K. W., Janikian, M., Dreier, M., Wölfling, K., Beutel, M. E., Tzavara, C., et al. (2015). Regular gaming behavior and internet gaming disorder in European adolescents: results from a cross-national representative survey of prevalence, predictors and psychopathological correlates. Eur. Child Adolesc. Psychiatry 24, 565–574. doi: 10.1007/s00787-014-0611-2

Müller, K. W., and Wölfling, K. (2017). Both sides of the story: addiction is not a pastime activity: commentary on: scholars’ open debate paper on the World Health Organization ICD-11 Gaming Disorder proposal (Aarseth et al.). J. Behav. Addict. 6, 118–120. doi: 10.1556/2006.6.2017.038

Nestler, S., Back, M. D., and Egloff, B. (2011). Psychometrische Eigenschaften zweier Skalen zur Erfassung interindividueller Unterschiede in der Präferenz zum Alleinsein [Psychometric properties of two scales for the assessment of interindividual differences in preference for solitude]. Diagnostica 57, 57–67. doi: 10.1026/0012-1924/a000032

Newzoo (2017). 2017 Global Games Market Report: Trends, Insights, and Projections Toward 2020. Available at: http://progamedev.net/wp-content/uploads/2017/06/Newzoo_Global_Games_Market_Report_2017_Light.pdf (accessed February 16, 2018).

Ng, B. D., and Wiemer-Hastings, P. (2005). Addiction to the internet and online gaming. Cyberpsychol. Behav. 8, 110–113. doi: 10.1089/cpb.2005.8.110

Nolen-Hoeksema, S. (2012). Emotion regulation and psychopathology: the role of gender. Annu. Rev. Clin. Psychol. 8, 161–187. doi: 10.1146/annurev-clinpsy-032511-143109

Park, J. H., Han, D. H., Kim, B. N., Cheong, J. H., and Lee, Y. S. (2016). Correlations among social anxiety, self-esteem, impulsivity, and game genre in patients with problematic online game playing. Psychiatry Investig. 13, 297–304. doi: 10.4306/pi.2016.13.3.297

Petry, N. M., Rehbein, F., Gentile, D. A., Lemmens, J. S., Rumpf, H. J., Mossle, T., et al. (2014). An international consensus for assessing internet gaming disorder using the new DSM-5 approach. Addiction 109, 1399–1406. doi: 10.1111/add.12457

Pew Research Center (2018). 5 Facts About Americans and Video Games. Washington, DC: Pew Research Center.

Primack, B. A., Carroll, M. V., McNamara, M., Klem, M. L., King, B., Rich, M. O., et al. (2012). Role of video games in improving health-related outcomes: a systematic review. Am. J. Prevent. Med. 42, 630–638. doi: 10.1016/j.amepre.2012.02.023

Rehbein, F., Staudt, A., Hanslmaier, M., and Kliem, S. (2016). Video game playing in the general adult population of Germany: can higher gaming time of males be explained by gender specific genre preferences? Comput. Hum. Behav. 55, 729–735. doi: 10.1016/j.chb.2015.10.016

Rosenberg, M. (1979). Conceiving the Self. New York, NY: Basic Books.

Rubenstein, C., and Shaver, P. R. (1982). “The experience of loneliness,” in Loneliness: A Sourcebook of Current Theory, Research, and Therapy , eds L. A. Peplau and D. Perlman (New York, NY: Wiley-Interscience), 206–223.

Ryan, R. M., Rigby, C. S., and Przybylski, A. (2006). The motivational pull of video games: a self-determination theory approach. Motiv. Emot. 30, 344–360. doi: 10.1007/s11031-006-9051-8

Scharkow, M., Festl, R., Vogelgesang, J., and Quandt, T. (2015). Beyond the “core-gamer”: genre preferences and gratifications in computer games. Comput. Hum. Behav. 44, 293–298. doi: 10.1016/j.chb.2014.11.020

Schneider, L. A., King, D. L., and Delfabbro, P. H. (2018). Maladaptive coping styles in adolescents with Internet gaming disorder symptoms. Int. J. Mental Health Addict. 16, 905–916. doi: 10.1007/s11469-017-9756-9

Schwarzer, R., and Jerusalem, M. (1995). “Generalized self-efficacy scale,” in Measures in Health Psychology: A User’s Portfolio. Causal and Control Beliefs , eds J. Weinman, S. Wright, and M. Johnston (Windsor: NFER-NELSON), 35–37.

Schwarzer, R., and Schulz, U. (2003). Soziale Unterstützung bei der Krankheitsbewältigung: die Berliner Social Support Skalen (BSSS) [Social support in coping with illness: the Berlin social support scales]. Diagnostica 49, 73–82. doi: 10.1026//0012-1924.49.2.73

Skoric, M. M., Teo, L. L. C., and Neo, R. L. (2009). Children and video games: addiction, engagement, and scholastic achievement. Cyberpsychol. Behav. 12, 567–572. doi: 10.1089/cpb.2009.0079

Stopfer, J. M., Braun, B., Müller, K. W., and Egloff, B. (2015). Narcissus plays video games. Personal. Individ. Differ. 87, 212–218. doi: 10.1016/j.paid.2015.08.011

Taquet, P., Romo, L., Cottencin, O., Ortiz, D., and Hautekeete, M. (2017). Video game addiction: cognitive, emotional, and behavioral determinants for CBT treatment. J. Thér. Comportementale Cogn. 27, 118–128. doi: 10.1016/j.jtcc.2017.06.005

The Nielsen Company (2017). Games 360 U.S. Report. New York, NY: The Nielsen Company.

Visser, M., Antheunis, M. L., and Schouten, A. P. (2013). Online communication and social well-being: how playing World of Warcraft affects players’ social competence and loneliness. J. Appl. Soc. Psychol. 43, 1508–1517. doi: 10.1111/jasp.12144

von Collani, G., and Herzberg, P. Y. (2003). Eine revidierte Fassung der deutschsprachigen Skala zum Selbstwertgefühl von Rosenberg [A revised German version of Rosenberg‘s self-esteem scale]. Z. Differ. Diagn. Psychol. 24, 3–7. doi: 10.1026/0012-1924/a000032

Wang, H. R., Cho, H., and Kim, D.-J. (2018). Prevalence and correlates of comorbid depression in a nonclinical online sample with DSM-5 internet gaming disorder. J. Affect. Disord. 226, 1–5. doi: 10.1016/j.jad.2017.08.005

Watson, D., Clark, L. A., and Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. J. Personal. Soc. Psychol. 54, 1063–1070. doi: 10.1037//0022-3514.54.6.1063

Wölfling, K., Beutel, M. E., and Müller, K. W. (2016). “OSV-S – skala zum onlinesuchtverhalten [AICA-S – Scale for the assessment of internet and computer game addiction],” in Diagnostische Verfahren in der Psychotherapie [Diagnostic Measures in Psychotherapy] , eds K. Geue, B. Strauß, and E. Brähler (Göttingen: Hogrefe), 362–366.

Wölfling, K., Müller, K. W., and Beutel, M. (2011). Reliabilität und Validität der Skala zum Computerspielverhalten [Reliability and validity of the scale for the assessment of pathological computer-gaming]. Psychother. Psychosom. Med. Psychol. 61, 216–224. doi: 10.1055/s-0030-1263145

Wood, R. T., and Griffith, M. D. (2007). A qualitative investigation of problem gambling as an escape-based coping strategy. Psychol. Psychother. 80, 107–125. doi: 10.1348/147608306X107881

Yee, N. (2006). Motivations for play in online games. Cyberpsychol. Behav. 9, 772–775. doi: 10.1089/cpb.2006.9.772

Keywords : computer games, video gaming behavior, game genres, coping, psychological health

Citation: von der Heiden JM, Braun B, Müller KW and Egloff B (2019) The Association Between Video Gaming and Psychological Functioning. Front. Psychol. 10:1731. doi: 10.3389/fpsyg.2019.01731

Received: 14 September 2018; Accepted: 11 July 2019; Published: 26 July 2019.

Reviewed by:

Copyright © 2019 von der Heiden, Braun, Müller and Egloff. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Juliane M. von der Heiden, [email protected]

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Adults and Video Games

More than half - 53% - of all American adults play video games of some kind, whether on a computer, on a gaming console, on a cell phone or other handheld device, on a portable gaming device, or online

Age is the biggest demographic factor in game play by adults. Younger adults are significantly more likely than any other game group to play games, and as age increases game play decreases. Independent of all other factors, younger adults are still more likely to play games.

Among older adults 65+ who play video games, nearly a third play games everyday, a significantly larger percentage than all younger players, of whom about 20% play everyday.

Age is also a factor in determining an individual's preferred game-playing device. Gaming consoles are the most popular for young adults: 75% of 18-29 year old gamers play on consoles, compared with 68% who use computers, the second most popular device for this age group.

Out of all the gaming devices, computers are the most popular among the total adult gaming population, with 73% of adult gamers using computers to play games, compared with 53% console users, 35% who using cell phones, and 25% using portable gaming devices.

Read the full report  Adults and Video Games  on the Pew Internet & American Life Project Web site.

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The Association Between Video Gaming and Psychological Functioning

Juliane m. von der heiden.

1 Department of Psychology, Johannes Gutenberg University Mainz, Mainz, Germany

Beate Braun

2 Department of Psychosomatic Medicine, University Medical Center, Mainz, Germany

Kai W. Müller

Boris egloff, associated data.

Video gaming is an extremely popular leisure-time activity with more than two billion users worldwide ( Newzoo, 2017 ). However, the media as well as professionals have underscored the potential dangers of excessive video gaming. With the present research, we aimed to shed light on the relation between video gaming and gamers’ psychological functioning. Questionnaires on personality and psychological health as well as video gaming habits were administered to 2,734 individuals (2,377 male, 357 female, M age = 23.06, SD age = 5.91). Results revealed a medium-sized negative correlation between problematic video gaming and psychological functioning with regard to psychological symptoms, affectivity, coping, and self-esteem. Moreover, gamers’ reasons for playing and their preferred game genres were differentially related to psychological functioning with the most notable findings for distraction-motivated players as well as action game players. Future studies are needed to examine whether these psychological health risks reflect the causes or consequences of video gaming.

Introduction

Video gaming is a very popular leisure activity among adults ( Pew Research Center, 2018 ). The amount of time spent playing video games has increased steadily, from 5.1 h/week in 2011 to 6.5 h/week in 2017 ( The Nielsen Company, 2017 ). Video gaming is known to have some benefits such as improving focus, multitasking, and working memory, but it may also come with costs when it is used heavily. By spending a predominant part of the day gaming, excessive video gamers are at risk of showing lower educational and career attainment, problems with peers, and lower social skills ( Mihara and Higuchi, 2017 ). On the one hand, video game use is widespread, and it may come with certain precursors as well as consequences. On the other hand, little is known about the relations between various video gaming habits and psychological functioning. This study aims to shed light on these important relations using a large sample.

A video game is defined as “a game which we play thanks to an audiovisual apparatus and which can be based on a story” ( Esposito, 2005 ). In the last few years, the amount of scientific research devoted to video game playing has increased (e.g., Ferguson, 2015 ; Calvert et al., 2017 ; Hamari and Keronen, 2017 ). Most scientific studies in this area of research have focused on the extent of video game play and its diverse correlates. While some researchers have emphasized the benefits of game playing and even suggested a therapeutic use of video games ( Primack et al., 2012 ; Granic et al., 2014 ; Colder Carras et al., 2018 ), others have been intrigued by its potential dangers ( Anderson et al., 2010 ; Müller and Wölfling, 2017 ).

Parents and professionals may be worried about their excessively playing children being “addicted.” However, problematic and potentially addictive video game use goes beyond the extent of playing (in hours per week; Skoric et al., 2009 ). It also includes such issues as craving, loss of control, and negative consequences of excessive gaming. While it is still a matter of debate whether problematic video game play should be considered a behavioral addiction , its status as a mental disorder has been clarified since the release of the DSM-5 in 2013. In the DSM-5, the American Psychiatric Association (2013) defined Internet Gaming Disorder with diagnostic criteria closely related to Gambling Disorder. Generally, this decision has been supported by many researchers (e.g., Petry et al., 2014 ) but has also caused controversies. Researchers have criticized the selection of diagnostic criteria and the vague definition of the Internet Gaming Disorder construct, which excludes offline games from being related to addictive use (e.g., Griffiths et al., 2016 ; Bean et al., 2017 ).

Several studies, literature reviews, and meta-analyses have focused on the correlates of problematic video gaming, usually assessed as a continuum with addiction marking the upper end of the scale (e.g., Ferguson et al., 2011 ; Kuss and Griffiths, 2012 ). The degree of addictive video game use has been found to be related to personality traits such as low self-esteem ( Ko et al., 2005 ) and low self-efficacy ( Jeong and Kim, 2011 ), anxiety, and aggression ( Mehroof and Griffiths, 2010 ), and even to clinical symptoms of depression and anxiety disorders ( Wang et al., 2018 ). Potential consequences of video game use have been identified as well, such as a lack of real-life friends ( Kowert et al., 2014a ), stress and maladaptive coping ( Milani et al., 2018 ), lower psychosocial well-being and loneliness ( Lemmens et al., 2011 ), psychosomatic problems ( Müller et al., 2015 ; Milani et al., 2018 ), and decreased academic achievement ( Chiu et al., 2004 ; Gentile, 2009 ). Effect sizes have varied widely across studies ( Ferguson et al., 2011 ). There seem to be sex and age differences with regard to video gaming behavior: potentially problematic video gaming was found to be more likely among males than females (e.g., Greenberg et al., 2010 ; Estévez et al., 2017 ), and among younger gamers ( Rehbein et al., 2016 ).

In addition to looking at problematic video game use and its relation to psychological functioning, it is relevant to also focus on why individuals play video games. Players use video games for very different reasons ( Ryan et al., 2006 ; Yee, 2006 ) such as to distract themselves from daily hassles or because they enjoy the social relationships they have developed in the virtual world. Potentially problematic video gaming has been found to be related to various reasons for playing such as coping and escape ( Hussain and Griffiths, 2009 ; Schneider et al., 2018 ), socialization ( Laconi et al., 2017 ), and personal satisfaction ( Ng and Wiemer-Hastings, 2005 ). Coping ( Laconi et al., 2017 ), social interaction, and competition were among the main reasons for gaming among males but not among females ( Lucas and Sherry, 2004 ). Mixed results emerged concerning age differences ( Greenberg et al., 2010 ), but especially younger gamers seemed to be motivated for video gaming by social interactions ( Hilgard et al., 2013 ). However, so far it remains unclear to what extent people’s various reasons for playing video games are differentially related to their psychological functioning.

Besides investigating the links between potentially problematic video game use and psychological functioning as well as between reasons for playing video games and psychological functioning, it is relevant to also look at which game genres individuals prefer. Correlates of preferences for certain game genres (e.g., simulation, strategy, action, role-playing) are cognitive enhancement ( Dobrowolski et al., 2015 ; Bediou et al., 2018 ), but also the amount of time spent playing ( Lemmens and Hendriks, 2016 ; Rehbein et al., 2016 ) and psychopathological symptoms ( Laconi et al., 2017 ). Males were shown to prefer action and strategy games, whereas females showed a preference for games of skill ( Scharkow et al., 2015 ; Rehbein et al., 2016 ). Younger gamers seemed to prefer action games, older players more so games of skill ( Scharkow et al., 2015 ). However, it is not yet understood to what extent preferences for certain video game genres are differentially related to psychological functioning.

Typically, research has focused merely on violent video games (e.g., Anderson and Bushman, 2001 ; Elson and Ferguson, 2014 ) or one specific game within one specific game genre (frequently World of Warcraft; Graham and Gosling, 2013 ; Visser et al., 2013 ; Herodotou et al., 2014 ), thereby neglecting the variety of possible gaming habits across various game genres.

In the present study, our objective was to examine the relation between video gaming and psychological functioning in a fine-grained manner. For this purpose, we examined psychological functioning by employing various variables such as psychological symptoms, coping strategies, and social support. Likewise, we assessed video gaming in a similarly detailed way, ranging from (a) problematic video game use, (b) the reasons for playing, to (c) the preferred game genres. This strategy prevented us from making potentially invalid generalizations about video gaming in general and allowed us to examine the spectrum of gaming habits and the respective relations between such habits and a diverse set of variables representing psychological functioning.

Playing video games excessively should be appealing to individuals with poor psychological functioning because games allow people to avoid their everyday problems and instead immerse themselves in another environment ( Taquet et al., 2017 ). Moreover, video games offer people a chance to connect with other people socially despite any more or less evident psychological problems they may have ( Kowert et al., 2014b ; Mazurek et al., 2015 ). On the other hand, potentially problematic video game use may also lead to psychological problems because it reduces the amount of time and the number of opportunities gamers have to practice real-life behavior ( Gentile, 2009 ). Thus, we expected to find a negative correlation between problematic video gaming and variables representing psychological functioning such that we expected more potentially problematic video game use to be related to dysfunctional coping strategies ( Wood and Griffith, 2007 ), negative affectivity ( Mathiak et al., 2011 ), and poor school performance ( Mihara and Higuchi, 2017 ). Moreover, we expected to find differential correlates of people’s reasons for playing video games and their psychological functioning: Playing for escape-oriented reasons such as distraction should go along with diverse indices of poor psychological functioning ( Király et al., 2015 ), whereas playing for gain-oriented reasons such as the storyline or the social connections in the game should be related to adequate psychological functioning ( Longman et al., 2009 ). Also, we expected to find people’s preferred game genres (e.g., strategy, action) to be differentially related to their psychological functioning ( Park et al., 2016 ). Finally, we aimed to shed light on the unique contribution of each measure of psychological functioning to the prediction of problematic video game use.

Materials and Methods

Participants 1.

A total of N = 2,891 individuals (2,421 male, 470 female) with a mean age of 23.17 years ( SD = 5.99, Range: 13–65) participated in our study. Of these participants, N = 2,734 (95%) confirmed their use of video games and were thus included in further analyses (2,377 male, 357 female, with a mean age of 23.06 years; SD = 5.91, Range: 13–65). The distribution of participants with regard to sex and age mirrors the findings of past research with males and younger individuals being more likely to play video games (e.g., Griffiths et al., 2004 ). Participants’ place of residence was Germany.

Procedure and Instruments 2

We posted links to our online questionnaire on various online forums as well as on popular online game sites. To achieve heterogeneity of the sample, no exclusion criteria other than having access to the Internet and understanding German were specified. As an incentive to participate in the study, four vouchers of 50€ were raffled.

Video Gaming

Potentially problematic video game use.

The AICA-S, the Scale for the Assessment of Internet and Computer game Addiction ( Wölfling et al., 2016 ), was used to assess participants’ gaming behavior with regard to potential problematic use. Based on the DSM criteria for Internet Gaming Disorder (tolerance, craving, loss of control, emotion regulation, withdrawal, and unsuccessful attempts to cut back), this standardized self-report scale consists of 15 items usually with a five-point scale ranging from 1 ( never ) to 5 ( very often ). The final score (Min = 0, Max = 27 points) is computed using weighted scoring (items with an item-total correlation > 0.55 in the norm sample are weighted double; Wölfling et al., 2011 ). The AICA-S score can be used to differentiate between regular (0–6.5 points) and problematic use of video games (7–13 points: abuse; 13.5–27 points: addiction). In our sample, N = 2,265 (83%) were identified as regular gamers, and N = 469 (17%) as problematic gamers. We used the AICA-S as a continuous variable for all further analyses ( M = 3.98, SD = 3.22, Range: 0–24). The instrument has been validated for different age groups in the general population and in clinical samples ( Müller et al., 2014a , 2019 , but note small sample size; Müller et al., 2014b ). Cronbach’s alpha was α = 0.70. As expected, the AICA-S score was correlated with male sex ( r = 0.17 ∗∗∗ ) and age ( r = –0.15 ∗∗∗ ). On average, participants played video games for M = 4.09 hours per weekday ( SD = 4.44, Range: 0–24), and M = 4.21 h per day at the weekend ( SD = 2.99, Range: 0–24).

Reasons for playing

Gamers indicated how often they played video games for certain reasons. They rated each of 10 reasons separately on Likert scales ranging from 1 ( never ) to 4 ( very often ). The most prevalent reasons were relaxation ( M = 2.96, SD = 0.91), amusement ( M = 2.94, SD = 0.85), and because of the storyline ( M = 2.67, SD = 1.10).

Game genres

Gamers were asked how often they usually played various video game subgenres such as first-person shooter, round-based strategy, massively multiplayer online role-playing games (MMORPGs), life simulations, and others. Ratings were made on Likert scales ranging from 1 ( never ) to 4 ( very often ). Using Apperley’s (2006) classification of game genres, we categorized the subgenres into the main genres action ( M = 2.54, SD = 0.84), strategy ( M = 2.13, SD = 0.80), role-playing ( M = 2.01, SD = 0.73), and simulation ( M = 1.58, SD = 0.44). A cluster for unclassified subgenres ( M = 1.54, SD = 0.39) was added to additionally account for such subgenres as jump’n’runs and games of skill. Descriptive statistics and intercorrelations for all measures (including sex and age) are presented in Supplementary Tables S1–S4 .

Psychological Functioning

Participants provided ratings of their psychological functioning on the following constructs:

General psychopathology

The SCL-K-9 ( Klaghofer and Brähler, 2001 ), a short version of the SCL-90-R ( Derogatis, 1975 ), was administered to assess participants’ subjective impairment regarding psychological symptoms (somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, and psychoticism). The SCL-K-9 score is strongly correlated with the original score of the SCL-90-R ( r = 0.93). The 9 items were answered on 5-point Likert-type scales ranging from 1 ( do not agree at all ) to 5 ( agree completely ). Cronbach’s alpha was satisfactory (α = 0.77).

We assessed 10 coping strategies with the Brief COPE ( Carver, 1997 ; German version by Knoll et al., 2005 ), which is the shorter version of the COPE ( Carver et al., 1989 ): self-distraction, denial, substance use, venting, self-blame, behavioral disengagement, acceptance, active coping, planning, and positive reframing. The two items per subscale were administered on 5-point Likert-type scales ranging from 1 ( never ) to 5 ( very often ). Intercorrelations of the two items per subscale ranged from r = 0.32, p < 0.001 for positive reframing to r = 0.78, p < 0.001 for substance use (with one exception: r = -0.05, p = 0.01 for self-distraction).

We measured general affect as a trait and affect during video gaming as a state using the German version ( Krohne et al., 1996 ) of the Positive and Negative Affect Schedule (PANAS; Watson et al., 1988 ). On a 5-point Likert-type scale ranging from 1 ( not at all ) to 5 ( completely ), participants rated the intensity of 20 adjectives. Cronbach’s alpha was α = 0.78 for general positive affect, α = 0.83 for general negative affect, α = 0.85 for positive affect while playing, and α = 0.83 for negative affect while playing.

The measure for the assessment of shyness in adults ( Asendorpf, 1997 ) consists of 5 items that were answered on a 5-point Likert-type scale ranging from 1 ( not at all ) to 5 ( completely ). Cronbach’s alpha was excellent (α = 0.86).

We administered the German version ( Elbing, 1991 ) of the NYU Loneliness Scale ( Rubenstein and Shaver, 1982 ). The 4 items were answered on 5- to 6-point Likert-type scales. Cronbach’s alpha was satisfactory (α = 0.79).

Preference for solitude

A 10-item measure of preference for solitude ( Nestler et al., 2011 ) was answered on a 6-point Likert-type scale ranging from 1 ( not at all ) to 6 ( completely ). Cronbach’s alpha was excellent (α = 0.86).

Life satisfaction

Participants answered a one-item life satisfaction measure on a 4-point Likert-type scale ranging from 1 ( not at all ) to 4 ( completely ).

Self-esteem

We administered the German version ( von Collani and Herzberg, 2003 ) of the Rosenberg Self-Esteem Scale (RSES; Rosenberg, 1979 ). The 10 items were answered on a 4-point Likert-type scale ranging from 1 ( not at all ) to 4 ( completely ). Cronbach’s alpha was excellent (α = 0.88).

Self-efficacy

We administered a 10-item generalized self-efficacy scale ( Schwarzer and Jerusalem, 1995 ), which was answered on a 4-point Likert-type scale ranging from 1 ( not at all ) to 4 ( completely ). Cronbach’s alpha was excellent (α = 0.86).

Social support and friends

We administered the perceived available social support subscale from the Berlin Social Support Scales (BSSS; Schwarzer and Schulz, 2003 ). The 8 items were answered on a 5-point Likert-type scale ranging from 1 ( not at all ) to 5 ( completely ). Cronbach’s alpha was excellent (α = 0.94). Participants indicated how many offline friends and offline acquaintances they had ( r = 0.44, p < 0.001) as well as how many online friends and online acquaintances they had ( r = 0.33, p < 0.001). Due to left-skewed distributions, we logarithmized the data before aggregation.

Participants reported their grade point average. German grades are assessed on a scale that ranges from 1 ( excellent ) to 6 ( insufficient ). Thus, higher scores indicate worse grades.

Participants further reported their sex and age. Both were used as control variables in further analyses.

In a first step, we computed zero-order correlations between the video gaming variables and the measures of psychological functioning. In a second step, we computed partial correlations in which we controlled for sex and age because past research has repeatedly shown that sex and age are correlated with both video gaming ( Homer et al., 2012 ; Mihara and Higuchi, 2017 ) and psychological functioning ( Kessler et al., 2007 ; Nolen-Hoeksema, 2012 ). Finally, we explored the unique contribution of each measure of psychological functioning to the prediction of potentially problematic video gaming. Therefore, we computed regressions with potentially problematic video gaming as the dependent variable and sex, age, and the measures of psychological functioning as predictors (entered simultaneously into the regression equation). By employing this procedure, we were able to determine the effect that each variable had over and above the other ones. For instance, we could identify whether general psychopathology was predictive of potentially problematic video game use when the influence of all other variables (e.g., shyness, loneliness, and others) was held constant.

Additionally, we included analyses regarding sex and age differences in the link between video gaming and psychological functioning. Since we collected a self-selected sample where different sexes and age groups were not represented equally, our findings are only preliminary, but may stimulate future research.

Potentially Problematic Video Game Use and Psychological Functioning

First, we examined whether potentially problematic video game use was related to various psychological functioning variables. As can be seen in Table 1 , the results for the zero-order correlations were similar to those for the partial correlations in which we controlled for sex and age. A medium-sized positive relation to the potentially problematic use of video games emerged for the presence of psychological symptoms including depression, anxiety, and hostility. Furthermore, several coping strategies were differentially associated with the potentially problematic use of video games: Self-blame and behavioral disengagement showed the strongest positive relations to potentially problematic video game use, followed by denial, acceptance, substance use, self-distraction, and venting. Planning, active coping, and, to a lesser extent, positive reframing were negatively associated with the potentially problematic use of video games. Moreover, the association with potentially problematic video game use was negative for general positive affect and positive and larger in size for general negative affect. However, potentially problematic video game use was clearly positively associated with the experience of both positive and negative affect while playing. Further, a preference for solitude, shyness, and loneliness were positively correlated with the potentially problematic use of video games. Lower self-esteem, lower life satisfaction, and, to a lesser extent, poorer perceived social support and lower self-efficacy went along with potentially problematic video game use. There was an association between fewer offline friends and acquaintances but more online connections with potentially problematic video gaming. Finally, poorer performance in school (i.e., higher grades) was related to the potentially problematic use of video games. These results suggest that potentially problematic video gaming goes along with poor psychological functioning and vice versa.

Associations between potentially problematic video gaming and psychological functioning.

Reasons for Playing Video Games and Psychological Functioning

Second, we investigated whether players’ reasons for playing video games were differentially related to the psychological functioning variables. Table 2 presents the partial correlations, controlling for sex and age. Using video games to distract oneself from stress was clearly connected to a high level of psychological symptoms. Distraction-motivated gamers preferred coping strategies such as self-blame, behavioral disengagement, self-distraction, denial, substance use, venting, and acceptance, but they neglected active coping and planning. They showed less general positive affect and more negative affect both in general and while playing as well as more positive affect while playing. These gamers further reported low self-esteem and low life satisfaction, loneliness, a preference for solitude, shyness, a lack of self-efficacy and social support, and poor achievement in school. A similar but somewhat less extreme picture was revealed for gamers who played video games in order to have something to talk about . However, these gamers reported more online connections. Gamers who played video games to improve their real-life abilities also reported more online connections. In addition, these gamers showed higher levels of general positive affect. The strongest association with online friends and acquaintances emerged, as expected, for gamers who played because of the social relations in the virtual world. Although all reasons for playing video games were related to positive affect while playing, the strongest associations emerged for gamers who played because of the social relations , to stimulate their imagination , and for curiosity . It is interesting that, for gamers who played video games because of the storyline and for relaxation , there was a relation only to positive but not to negative affect while playing. Reasons for playing were only weakly related to sex and age (see Supplementary Table S2 ). In sum, several reasons for playing video games were differentially associated with psychological functioning.

Associations between reasons for playing video games and psychological functioning.

Video Game Genre and Psychological Functioning

Third, we examined whether players’ preferences for different video game genres were differentially associated with the measures of psychological functioning. Table 3 shows the partial correlations in which we controlled for sex and age. There was a weak connection between general psychological symptoms and all of the video game genres we investigated except strategy. A preference for action games had the strongest association with affect while playing. Thus, action games seem to be both rewarding and a source of frustration. A preference for action games went along with poorer school performance. Gamers who preferred role-playing games scored higher on shyness and a preference for solitude and lower on self-esteem; they also reported fewer offline connections. By contrast, preferences for games of the unclassified category on average went along with a larger number of offline friends and more positive affect, both while playing and in general. Two game genres (i.e., role-playing and unclassified games) were related to the coping strategy of self-distraction. Because preferred game genre was related to participants’ sex (see Supplementary Table S3 ), we had a more detailed look at the correlations between preferred game genre and psychological functioning separately for both sexes: For males ( n = 2,377), the strongest correlation between general psychopathology and game genre emerged for action ( r = 0.08, p < 0.001), followed by role playing ( r = 0.07, p < 0.01), and unclassified ( r = 0.07, p < 0.01). For females ( n = 357), the strongest relation between general psychopathology and game genre emerged for simulation ( r = 0.17, p < 0.01). Differences were also found regarding the strength of the relation between number of friends online and the genre action: r = 0.06, p < 0.01 for males, and r = 0.27, p < 0.001 for females. Similarly, preferred game genre was related to participants’ age (see Supplementary Table S3 ). However, there were merely differences with regard to the relation of psychological functioning and game genre, when analyzed separately for different age groups (<19 years, n = 557; 19–30 years, n = 1916; >31 years, n = 261). In sum, our results speak to the idea that individuals with different levels of psychological functioning differ in their choices of game genres and vice versa.

Associations between preferred video game genre and psychological functioning.

Predicting Potentially Problematic Video Game Use by Psychological Functioning Variables

In a final step, we entered all of the investigated psychological functioning variables as well as sex and age as predictors of the potentially problematic use of video games. By employing this procedure, we were able to determine the unique contribution of each psychological functioning variable when the influence of all other variables was held constant. As Table 4 shows, the number of online friends and acquaintances as well as positive affect while playing were most predictive of potentially problematic video game use over and above all other variables. General psychopathology, a lack of offline connections, and poor school performance were weaker but still relevant predictors of potentially problematic video game use.

Prediction of potentially problematic video game use by psychological functioning variables.

With this study, we aimed to shed light on the association of diverse video gaming habits with gamers’ psychological functioning. Drawing on a large sample, our results revealed a medium-sized relation between potentially problematic video game use and poor psychological functioning with regard to general psychological symptoms, maladaptive coping strategies, negative affectivity, low self-esteem, and a preference for solitude as well as poor school performance. These findings are in line with those of prior work (e.g., Kuss and Griffiths, 2012 ; Milani et al., 2018 ). Also, reasons for playing video games were differentially related to psychological functioning with the most pronounced findings for escape-oriented in contrast to gain-oriented motives. Specifically, distraction-motivated gaming went along with higher symptom ratings, lower self-esteem, and more negative affectivity, whereas playing to establish social relationships in the virtual world was related to a larger number of online connections and more positive affect while playing. Furthermore, there were only weak relations between the preferred game genres and psychological functioning. The action games genre was associated with the strongest ratings of affect while playing. These results on reasons and genres may help to explain conflicting findings of former studies, because in our work we examined various reasons for playing, several game genres, and various aspects of psychological functioning simultaneously. Finally, positive affect while playing and a larger number of online friends were the strongest unique predictors of potentially problematic video game use, followed by psychological symptoms, a lack of offline connections, and poor school performance. These findings suggest that, on the one hand, independent of one’s psychological conditions, enjoying oneself during gaming (i.e., experiencing positive affect, connecting with online friends) may go along with potentially problematic use of video games. On the other hand, poor psychological functioning seems to be a unique risk factor for potentially problematic video gaming.

The presented results are generally in line with previous work that has identified a connection between video gaming and psychological health, academic problems, and social problems ( Ferguson et al., 2011 ; Müller et al., 2015 ). However, our study moved beyond prior research by providing in-depth analyses of both video gaming habits (including potentially problematic use, reasons for playing, and preferred game genre) and psychological functioning (including psychological symptoms, coping styles, affectivity, as well as variables that are related to individuals and their social environments). In addition, we identified unique predictors of potentially problematic video game use.

How can the findings on differential relations between video gaming and various indices of psychological functioning – ranging from beneficial results ( Latham et al., 2013 ) to unfavorable results ( Barlett et al., 2009 ; Möller and Krahé, 2009 ; Anderson et al., 2010 ) – be integrated? According to Kanfer and Phillips (1970) , problematic behavior (e.g., excessive video gaming) can be understood as a function of the situation (e.g., being rejected by a peer); the organism (e.g., low self-esteem); the person’s thoughts, physical reactions, and feelings (e.g., sadness, anger); and finally, the short- as well as long-term consequences of the behavior (termed SORKC model). In the short run, according to our results, playing video games may be a way to distract oneself from everyday hassles and may lead to positive affect while playing and a feeling of being connected to like-minded people, all of which are factors that have an immediate reinforcing value. In the long run, however, spending many hours per day in front of a computer screen may prevent a person from (a) developing and practicing functional coping strategies, (b) finding friends and support in the social environment, and (c) showing proper school achievement, factors that are potentially harmful to the person. Thus, differentiating between short- and long-term perspectives may help us understanding the differential correlates of intensive video gaming.

When is it appropriate to speak of video game addiction? More and more researchers have suggested a continuum between engagement ( Charlton and Danforth, 2007 ; Skoric et al., 2009 ) and pathological gaming/addiction, instead of a categorical perspective. In part, this recommendation has also been followed in the DSM-5 ( American Psychiatric Association, 2013 ) where Internet Gaming Disorder is classified with different degrees of severity, ranging from mild to moderate to severe, according to the functional impairment associated with it. The AICA-S also allows for a differential perspective on gaming behavior by providing ways to assess both the time spent playing video games and the main DSM criteria that indicate Internet Gaming Disorder. However, in our study we did not aim at making a diagnosis, but at having a closer look at potentially problematic gaming behavior and its correlates in a non-clinical sample.

In sum, it seems relevant to assess not only the extent of video game use but also the reasons behind this behavior (e.g., distraction) and the concrete rewards that come from playing (e.g., the experience of strong affect while playing action games) to fully understand the relation between video gaming and psychological functioning.

Limitations and Future Directions

With the present study, we aimed to uncover the association between video gaming and psychological functioning. Our approach was cross-sectional and warrants interpretative caution because correlations cannot determine the direction of causation. It remains unclear whether potentially problematic gaming is a factor that contributes to the development of psychological dysfunction or whether psychological dysfunction contributes to potentially problematic gaming. Also, a third factor (e.g., preexisting mental difficulties) may produce both psychological dysfunction and potentially problematic gaming. Thus, longitudinal studies that are designed to identify the causal pathway may provide a promising avenue for future research. Future studies may also answer the question whether the link between video gaming and psychological functioning is moderated by sex, age, the reasons for playing, or the preferred game genre. In addition, it is important not to forget that the present results are based on a self-selected sample in which potentially problematic video gamers were overrepresented (e.g., Festl et al., 2013 , for a representative sample). Thus, future research should replicate our findings in a representative sample. Further, we relied on self-reported data, which is a plausible method for assessing inner affairs such as people’s reasons for their behaviors, but it would be helpful to back up our findings with evidence derived from sources such as peers, caregivers, and health specialists. Our work reflects only a first approach to the topic, and future work may additionally collect in-game behavioral data from the players ( McCreery et al., 2012 ; Billieux et al., 2013 ) to objectively and more specifically investigate diverse patterns of use. Furthermore, one must not forget that the used taxonomy to classify video game genres is only one of various possible options and one should “think of each individual game as belonging to several genres at once” ( Apperley, 2006 , p. 19). Finally, some of the effects reported in our paper were rather modest in size. This is not surprising considering the complexity and multiple determinants of human behavior. In our analyses, we thoroughly controlled for the influence of sex and age and still found evidence that video gaming was differentially related to measures of psychological functioning.

The current study adds to the knowledge on gaming by uncovering the specific relations between video gaming and distinct measures of psychological functioning. Potentially problematic video gaming was found to be associated with positive affect and social relationships while playing but also with psychological symptoms, maladaptive coping strategies, negative affectivity, low self-esteem, a preference for solitude, and poor school performance. Including gamers’ reasons for playing video games and their preferred game genres helped deepen the understanding of the specific and differential associations between video gaming and psychological health. This knowledge might help developing adequate interventions that are applied prior to the occurrence of psychological impairments that may go along with potentially problematic video gaming.

Ethics Statement

In our online survey, participants were given information on voluntary participation, risks, confidentiality/anonymity, and right to withdraw. Whilst participants were not signing a separate consent form, consent was obtained by virtue of completion. We implemented agreed procedures to maintain the confidentiality of participant data.

Author Contributions

BB, BE, JH, and KM conceived and designed the study. BB, JH, and KM collected and prepared the data. JH analyzed the data. BE and JH wrote the manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

1 The data were gathered as part of a larger project ( Stopfer et al., 2015 ; Braun et al., 2016 ). However, the analyses in the present article do not overlap with analyses from previous work.

2 Other measures were administered, but they were not relevant to the present research questions and are thus not mentioned in this paper. The data set and analysis script supporting the conclusions of this manuscript can be retrieved from https://osf.io/emrpw/?view_only=856491775efe4f99b407e258c2f2fa8d .

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2019.01731/full#supplementary-material

• American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders: DSM-5 , 5th Edn Washington DC: American Psychiatric Association. [ Google Scholar ]
• Anderson C. A., Bushman B. J. (2001). Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: a meta-analytic review of the scientific literature. Psychol. Sci. 12 353–359. 10.1111/1467-9280.00366 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Anderson C. A., Shibuya A., Ihori N., Swing E. L., Bushman B. J., Sakamoto A., et al. (2010). Violent video game effects on aggression, empathy, and prosocial behavior in eastern and western countries: a meta-analytic review. Psychol. Bull. 136 151–173. 10.1037/a0018251 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Apperley T. H. (2006). Genre and game studies: toward a critical approach to video game genres. Simul. Gaming 37 6–23. 10.1177/1046878105282278 [ CrossRef ] [ Google Scholar ]
• Asendorpf J. B. (1997). SGSE-Schüchternheits- und Geselligkeitsskalen für Erwachsene [Scales on shyness and sociality for adults ] . Berlin: Humboldt-Universität. [ Google Scholar ]
• Barlett C. P., Anderson C. A., Swing E. L. (2009). Video game effects—Confirmed, suspected, and speculative: a review of the evidence. Simul. Gaming 40 377–403. 10.1177/1046878108327539 [ CrossRef ] [ Google Scholar ]
• Bean A. M., Nielsen R. K. L., van Rooij A. J., Ferguson C. J. (2017). Video game addiction: the push to pathologize video games. Prof. Psychol. Res. Pr. 48 378–389. 10.1037/pro0000150 [ CrossRef ] [ Google Scholar ]
• Bediou B., Adams D. M., Mayer R. E., Tipton E., Green C. S., Bavelier D. (2018). Meta-analysis of action video game impact on perceptual, attentional, and cognitive skills. Psychol. Bull. 144 77–110. 10.1037/bul0000130 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Billieux J., Van der Linden M., Achab S., Khazaal Y., Paraskevopoulos L., Zullino D., et al. (2013). Why do you play World of Warcraft? An in-depth exploration of self-reported motivations to play online and in-game behaviours in the virtual world of Azeroth. Comput. Hum. Behav. 29 103–109. 10.1016/j.chb.2012.07.021 [ CrossRef ] [ Google Scholar ]
• Braun B., Stopfer J. M., Müller K. W., Beutel M. E., Egloff B. (2016). Personality and video gaming: comparing regular gamers, non-gamers, and gaming addicts and differentiating between game genres. Comput. Hum. Behav. 55 406–412. 10.1016/j.chb.2015.09.041 [ CrossRef ] [ Google Scholar ]
• Calvert S. L., Appelbaum M., Dodge K. A., Graham S., Nagayama Hall G. C., Hamby S., et al. (2017). The american psychological association task force assessment of violent video games: science in the service of public interest. Am. Psychol. 72 126–143. 10.1037/a0040413 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Carver C. S. (1997). You want to measure coping but your protocol’s too long: consider the brief cope. Int. J. Behav. Med. 4 92–100. 10.1207/s15327558ijbm0401_6 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Carver C. S., Scheier M. F., Weintraub J. K. (1989). Assessing coping strategies: a theoretically based approach. J. Personal. Soc. Psychol. 56 267–283. 10.1037/0022-3514.56.2.267 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Charlton J. P., Danforth I. D. (2007). Distinguishing addiction and high engagement in the context of online game playing. Comput. Hum. Behav. 23 1531–1548. 10.1016/j.chb.2005.07.002 [ CrossRef ] [ Google Scholar ]
• Chiu S. I., Lee J. Z., Huang D. H. (2004). Video game addiction in children and teenagers in Taiwan. Cyberpsychol. Behav. 7 571–581. 10.1089/cpb.2004.7.571 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Colder Carras M., Van Rooij A. J., Spruijit-Metz D., Kvedar J., Griffiths M. D., Carabas Y., et al. (2018). Commercial video games as therapy: a new research agenda to unlock the potential of a global pastime. Front. Psychiatry 8 : 300 . 10.3389/fpsyt.2017.00300 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Derogatis L. R. (1975). SCL-90-R: Symptom Checklist-90-R: Administration, Scoring, and Procedures Manual. London: NCS Pearson. [ Google Scholar ]
• Dobrowolski P., Hanusz K., Sobczyk B., Skorko M., Wiatrow A. (2015). Cognitive enhancement in video game players: the role of video game genre. Comput. Hum. Behav. 44 59–63. 10.1016/j.chb.2014.11.051 [ CrossRef ] [ Google Scholar ]
• Elbing E. (1991). Einsamkeit: Psychologische Konzepte, Forschungsbefunde und Treatmentansätze [Loneliness: Psychological Concepts, Research Findings, and Treatments]. Göttingen: Hogrefe. [ Google Scholar ]
• Elson M., Ferguson C. J. (2014). Twenty-five years of research on violence in digital games and aggression: empirical evidence, perspectives, and a debate gone astray. Eur. Psychol. 19 33–46. 10.1027/1016-9040/a000147 [ CrossRef ] [ Google Scholar ]
• Esposito N. (2005). “ A short and simple definition of what a videogame is ,” in Proceedings of the DiGRA (Digital Games Research Association) Conference: Changing Views-Worlds in Play , (British Columbia: University of Vancouver; ). [ Google Scholar ]
• Estévez A., Jáuregui P., Sánchez-Marcos I., López-González H., Griffiths M. D. (2017). Attachment and emotion regulation in substance addictions and behavioral addictions. J. Behav. Addict. 6 534–544. 10.1556/2006.6.2017.086 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Ferguson C. J. (2015). Do angry birds make for angry children? A meta-analysis of video game influences on children’s and adolescents’ aggression, mental health, prosocial behavior, and academic performance. Perspect. Psychol. Sci. 10 646–666. 10.1177/1745691615592234 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Ferguson C. J., Coulson M., Barnett J. (2011). A meta-analysis of pathological gaming prevalence and comorbidity with mental health, academic and social problems. J. Psychiatr. Res. 45 1573–1578. 10.1016/j.jpsychires.2011.09.005 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Festl R., Scharkow M., Quandt T. (2013). Problematic computer game use among adolescents, younger and older adults. Addiction 108 592–599. 10.1111/add.12016 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Gentile D. (2009). Pathological video-game use among youth ages 8 to 18: a national study. Psychol. Sci. 20 594–602. 10.1111/j.1467-9280.2009.02340.x [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Graham L. T., Gosling S. D. (2013). Personality profiles associated with different motivations for playing World of Warcraft. Cyberpsychol. Behav. Soc. Netw. 16 189–193. 10.1089/cyber.2012.0090 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Granic I., Lobel A., Engels R. C. (2014). The benefits of playing video games. Am. Psychol. 69 66–78. 10.1037/a0034857 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Greenberg B. S., Sherry J., Lachlan K., Lucas K., Holmstrom A. (2010). Orientations to video games among gender and age groups. Simul. Gaming 41 238–259. 10.1177/1046878108319930 [ CrossRef ] [ Google Scholar ]
• Griffiths M., Van Rooij A. J., Kardefeldt-Winther D., Starcevic V., Király O., Pallesen S., et al. (2016). Working towards an international consensus on criteria for assessing internet gaming disorder: a critical commentary on Petry et al. (2014). Addiction 111 167–175. 10.1111/add.13057 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Griffiths M. D., Davies M. N., Chappell D. (2004). Demographic factors and playing variables in online computer gaming. CyberPsychol. Behav. 7 479–487. 10.1089/cpb.2004.7.479 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Hamari J., Keronen L. (2017). Why do people play games? A meta-analysis. Int. J. Inform. Manag. 37 125–141. 10.1016/j.ijinfomgt.2017.01.006 [ CrossRef ] [ Google Scholar ]
• Herodotou C., Kambouri M., Winters N. (2014). Dispelling the myth of the socio-emotionally dissatisfied gamer. Comput. Hum. Behav. 32 23–31. 10.1016/j.chb.2013.10.054 [ CrossRef ] [ Google Scholar ]
• Hilgard J., Engelhardt C. R., Bartholow B. D. (2013). Individual differences in motives, preferences, and pathology in video games: the gaming attitudes, motives, and experiences scales (GAMES). Front. Psychol. 4 : 608 . 10.3389/fpsyg.2013.00608 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Homer B. D., Hayward E. O., Frye J., Plass J. L. (2012). Gender and player characteristics in video game play of preadolescents. Comput. Hum. Behav. 28 1782–1789. 10.1016/j.chb.2012.04.018 [ CrossRef ] [ Google Scholar ]
• Hussain Z., Griffiths M. D. (2009). Excessive use of massively multi-player online role-playing games: a pilot study. Int. J. Mental Health Addict. 7 : 563 10.1007/s11469-009-9202-8 [ CrossRef ] [ Google Scholar ]
• Jeong E. J., Kim D. H. (2011). Social activities, self-efficacy, game attitudes, and game addiction. Cyberpsychol. Behav. Soc. Netw. 14 213–221. 10.1089/cyber.2009.0289 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Kanfer F. H., Phillips J. (1970). Learning Foundations of Behavior Therapy. New York, NY: Wiley. [ Google Scholar ]
• Kessler R. C., Amminger G. P., Aguilar-Gaxiola S., Alonso J., Lee S., Ustun T. B. (2007). Age of onset of mental disorders: a review of recent literature. Curr. Opin. Psychiatry 20 359–364. 10.1097/YCO.0b013e32816ebc8c [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Király O., Urbán R., Griffith M. D., Ágoston C., Nagygyörgy K., Kökönyei G., et al. (2015). The mediating effect of gaming motivation between psychiatric symptoms and problematic online gaming: an online survey. J. Med. Int. Res. 17 : e88 . 10.2196/jmir.3515 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Klaghofer R., Brähler E. (2001). Konstruktion und teststatistische Prüfung einer Kurzform der SCL-90-R [Construction and statistical evaluation of a short version of the SCL-90-R]. Z. Klin. Psychol. Psychiatr. Psychother. 49 115–124. [ Google Scholar ]
• Knoll N., Rieckmann N., Schwarzer R. (2005). Coping as a mediator between personality and stress outcomes: a longitudinal study with cataract surgery patients. Eur. J. Personal. 19 229–247. 10.1002/per.546 [ CrossRef ] [ Google Scholar ]
• Ko C. H., Yen J. Y., Chen C. C., Chen S. H., Yen C. F. (2005). Gender differences and related factors affecting online gaming addiction among Taiwanese adolescents. J. Nervous Mental Dis. 193 273–277. 10.1097/01.nmd.0000158373.85150.57 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Kowert R., Domahidi E., Festl R., Quandt T. (2014a). Social gaming, lonely life? The impact of digital game play on adolescents’ social circles. Comput. Hum. Behav. 36 385–390. 10.1016/j.chb.2014.04.003 [ CrossRef ] [ Google Scholar ]
• Kowert R., Domahidi E., Quandt T. (2014b). The relationship between online video game involvement and gaming-related friendships among emotionally sensitive individuals. Cyberpsychol. Behav. Soc. Netw. 17 447–453. 10.1089/cyber.2013.0656 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Krohne H. W., Egloff B., Kohlmann C. W., Tausch A. (1996). Untersuchungen mit einer deutschen version der positive and negative affect schedule (PANAS) [Investigations with a German version of the PANAS]. Diagnostica 42 139–156. [ Google Scholar ]
• Kuss D. J., Griffiths M. D. (2012). Internet gaming addiction: a systematic review of empirical research. Int. J. Mental Health Addict. 10 278–296. 10.1007/s11469-011-9318-5 [ CrossRef ] [ Google Scholar ]
• Laconi S., Pirès S., Chabrol H. (2017). Internet gaming disorder, motives, game genres, and psychopathology. Comput. Hum. Behav. 75 652–659. 10.1016/j.chb.2017.06.012 [ CrossRef ] [ Google Scholar ]
• Latham A. J., Patston L. L., Tippett L. J. (2013). The virtual brain: 30 years of video-game play and cognitive abilities. Front. Psychol. 4 : 629 . 10.3389/fpsyg.2013.00629 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Lemmens J. S., Hendriks S. J. F. (2016). Addictive online games: examining the relationship between game genres and internet gaming disorder. Cyberpsychol. Behav. Soc. Netw. 19 270–276. 10.1089/cyber.2015.0415 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Lemmens J. S., Valkenburg P. M., Peter J. (2011). Psychosocial causes and consequences of pathological gaming. Comput. Hum. Behav. 27 144–152. 10.1016/j.chb.2010.07.015 [ CrossRef ] [ Google Scholar ]
• Longman H., O’Connor E., Obst P. (2009). The effect of social support derived from World of Warcraft on negative psychological symptoms. Cyberpsychol. Behav. 12 563–566. 10.1089/cpb.2009.0001 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Lucas K., Sherry J. L. (2004). Sex differences in video game play: a communication-based explanation. Commun. Res. 31 499–523. 10.1177/0093650204267930 [ CrossRef ] [ Google Scholar ]
• Mathiak K. A., Klasen M., Weber R., Ackermann H., Shergill S. S., Mathiak K. (2011). Reward system and temporal pole contributions to affective evaluation during a first person shooter video game. BMC Neurosci. 12 : 66 . 10.1186/1471-2202-12-66 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Mazurek M. O., Engelhardt C. R., Clark K. E. (2015). Video games from the perspective of adults with autism spectrum disorder. Comput. Hum. Behav. 51 122–130. 10.1016/j.chb.2015.04.062 [ CrossRef ] [ Google Scholar ]
• McCreery M. P., Krach S. K., Schrader P. G., Boone R. (2012). Defining the virtual self: personality, behavior, and the psychology of embodiment. Comput. Hum. Behav. 28 976–983. 10.1016/j.chb.2011.12.019 [ CrossRef ] [ Google Scholar ]
• Mehroof M., Griffiths M. D. (2010). Online gaming addiction: the role of sensation seeking, self-control, neuroticism, aggression, state anxiety, and trait anxiety. Cyberpsychol. Behav. 13 313–316. 10.1089/cyber.2009.0229 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Mihara S., Higuchi S. (2017). Cross-sectional and longitudinal epidemiological studies of Internet gaming disorder: a systematic review of the literature. Psychiatry Clin. Neurosci. 71 425–444. 10.1111/pcn.12532 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Milani L., La Torre G., Fiore M., Grumi S., Gentile D. A., Ferrante M., et al. (2018). Internet gaming addiction in adolescence: risk factors and maladjustment correlates. Int. J. Mental Health Addict. 16 888–904. 10.1007/s11469-017-9750-2 [ CrossRef ] [ Google Scholar ]
• Möller I., Krahé B. (2009). Exposure to violent video games and aggression in German adolescents: a longitudinal analysis. Aggress. Behav. 35 75–89. 10.1002/ab.20290 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Müller K. W., Beutel M. E., Dreier M., Wölfling K. (2019). A clinical evaluation of the DSM-5 criteria for internet gaming disorder and a pilot study on their applicability to further Internet-related disorders. J. Behav. Addict. 8 16–24. 10.1556/2006.7.2018.140 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Müller K. W., Beutel M. E., Wölfling K. (2014a). A contribution to the clinical characterization of internet addiction in a sample of treatment seekers: validity of assessment, severity of psychopathology and type of co-morbidity. Compr. Psychiatry 55 770–777. 10.1016/j.comppsych.2014.01.010 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Müller K. W., Glaesmer H., Brähler E., Wölfling K., Beutel M. E. (2014b). Prevalence of internet addiction in the general population: results from a German population-based survey. Behav. Inform. Technol. 33 757–766. 10.1080/0144929X.2013.810778 [ CrossRef ] [ Google Scholar ]
• Müller K. W., Janikian M., Dreier M., Wölfling K., Beutel M. E., Tzavara C., et al. (2015). Regular gaming behavior and internet gaming disorder in European adolescents: results from a cross-national representative survey of prevalence, predictors and psychopathological correlates. Eur. Child Adolesc. Psychiatry 24 565–574. 10.1007/s00787-014-0611-2 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Müller K. W., Wölfling K. (2017). Both sides of the story: addiction is not a pastime activity: commentary on: scholars’ open debate paper on the World Health Organization ICD-11 Gaming Disorder proposal (Aarseth et al.). J. Behav. Addict. 6 118–120. 10.1556/2006.6.2017.038 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Nestler S., Back M. D., Egloff B. (2011). Psychometrische Eigenschaften zweier Skalen zur Erfassung interindividueller Unterschiede in der Präferenz zum Alleinsein [Psychometric properties of two scales for the assessment of interindividual differences in preference for solitude]. Diagnostica 57 57–67. 10.1026/0012-1924/a000032 [ CrossRef ] [ Google Scholar ]
• Newzoo (2017). 2017 Global Games Market Report: Trends, Insights, and Projections Toward 2020. Available at: http://progamedev.net/wp-content/uploads/2017/06/Newzoo_Global_Games_Market_Report_2017_Light.pdf (accessed February 16, 2018). [ Google Scholar ]
• Ng B. D., Wiemer-Hastings P. (2005). Addiction to the internet and online gaming. Cyberpsychol. Behav. 8 110–113. 10.1089/cpb.2005.8.110 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Nolen-Hoeksema S. (2012). Emotion regulation and psychopathology: the role of gender. Annu. Rev. Clin. Psychol. 8 161–187. 10.1146/annurev-clinpsy-032511-143109 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Park J. H., Han D. H., Kim B. N., Cheong J. H., Lee Y. S. (2016). Correlations among social anxiety, self-esteem, impulsivity, and game genre in patients with problematic online game playing. Psychiatry Investig. 13 297–304. 10.4306/pi.2016.13.3.297 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Petry N. M., Rehbein F., Gentile D. A., Lemmens J. S., Rumpf H. J., Mossle T., et al. (2014). An international consensus for assessing internet gaming disorder using the new DSM-5 approach. Addiction 109 1399–1406. 10.1111/add.12457 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Pew Research Center (2018). 5 Facts About Americans and Video Games. Washington, DC: Pew Research Center. [ Google Scholar ]
• Primack B. A., Carroll M. V., McNamara M., Klem M. L., King B., Rich M. O., et al. (2012). Role of video games in improving health-related outcomes: a systematic review. Am. J. Prevent. Med. 42 630–638. 10.1016/j.amepre.2012.02.023 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Rehbein F., Staudt A., Hanslmaier M., Kliem S. (2016). Video game playing in the general adult population of Germany: can higher gaming time of males be explained by gender specific genre preferences? Comput. Hum. Behav. 55 729–735. 10.1016/j.chb.2015.10.016 [ CrossRef ] [ Google Scholar ]
• Rosenberg M. (1979). Conceiving the Self. New York, NY: Basic Books. [ Google Scholar ]
• Rubenstein C., Shaver P. R. (1982). “ The experience of loneliness ,” in Loneliness: A Sourcebook of Current Theory, Research, and Therapy , eds Peplau L. A., Perlman D. (New York, NY: Wiley-Interscience; ), 206–223. [ Google Scholar ]
• Ryan R. M., Rigby C. S., Przybylski A. (2006). The motivational pull of video games: a self-determination theory approach. Motiv. Emot. 30 344–360. 10.1007/s11031-006-9051-8 [ CrossRef ] [ Google Scholar ]
• Scharkow M., Festl R., Vogelgesang J., Quandt T. (2015). Beyond the “core-gamer”: genre preferences and gratifications in computer games. Comput. Hum. Behav. 44 293–298. 10.1016/j.chb.2014.11.020 [ CrossRef ] [ Google Scholar ]
• Schneider L. A., King D. L., Delfabbro P. H. (2018). Maladaptive coping styles in adolescents with Internet gaming disorder symptoms. Int. J. Mental Health Addict. 16 905–916. 10.1007/s11469-017-9756-9 [ CrossRef ] [ Google Scholar ]
• Schwarzer R., Jerusalem M. (1995). “ Generalized self-efficacy scale ,” in Measures in Health Psychology: A User’s Portfolio. Causal and Control Beliefs , eds Weinman J., Wright S., Johnston M. (Windsor: NFER-NELSON; ), 35–37. [ Google Scholar ]
• Schwarzer R., Schulz U. (2003). Soziale Unterstützung bei der Krankheitsbewältigung: die Berliner Social Support Skalen (BSSS) [Social support in coping with illness: the Berlin social support scales]. Diagnostica 49 73–82. 10.1026//0012-1924.49.2.73 [ CrossRef ] [ Google Scholar ]
• Skoric M. M., Teo L. L. C., Neo R. L. (2009). Children and video games: addiction, engagement, and scholastic achievement. Cyberpsychol. Behav. 12 567–572. 10.1089/cpb.2009.0079 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Stopfer J. M., Braun B., Müller K. W., Egloff B. (2015). Narcissus plays video games. Personal. Individ. Differ. 87 212–218. 10.1016/j.paid.2015.08.011 [ CrossRef ] [ Google Scholar ]
• Taquet P., Romo L., Cottencin O., Ortiz D., Hautekeete M. (2017). Video game addiction: cognitive, emotional, and behavioral determinants for CBT treatment. J. Thér. Comportementale Cogn. 27 118–128. 10.1016/j.jtcc.2017.06.005 [ CrossRef ] [ Google Scholar ]
• The Nielsen Company (2017). Games 360 U.S. Report. New York, NY: The Nielsen Company. [ Google Scholar ]
• Visser M., Antheunis M. L., Schouten A. P. (2013). Online communication and social well-being: how playing World of Warcraft affects players’ social competence and loneliness. J. Appl. Soc. Psychol. 43 1508–1517. 10.1111/jasp.12144 [ CrossRef ] [ Google Scholar ]
• von Collani G., Herzberg P. Y. (2003). Eine revidierte Fassung der deutschsprachigen Skala zum Selbstwertgefühl von Rosenberg [A revised German version of Rosenberg‘s self-esteem scale]. Z. Differ. Diagn. Psychol. 24 3–7. 10.1026/0012-1924/a000032 [ CrossRef ] [ Google Scholar ]
• Wang H. R., Cho H., Kim D.-J. (2018). Prevalence and correlates of comorbid depression in a nonclinical online sample with DSM-5 internet gaming disorder. J. Affect. Disord. 226 1–5. 10.1016/j.jad.2017.08.005 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Watson D., Clark L. A., Tellegen A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. J. Personal. Soc. Psychol. 54 1063–1070. 10.1037//0022-3514.54.6.1063 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Wölfling K., Beutel M. E., Müller K. W. (2016). “ OSV-S – skala zum onlinesuchtverhalten [AICA-S – Scale for the assessment of internet and computer game addiction] ,” in Diagnostische Verfahren in der Psychotherapie [Diagnostic Measures in Psychotherapy] , eds Geue K., Strauß B., Brähler E. (Göttingen: Hogrefe; ), 362–366. [ Google Scholar ]
• Wölfling K., Müller K. W., Beutel M. (2011). Reliabilität und Validität der Skala zum Computerspielverhalten [Reliability and validity of the scale for the assessment of pathological computer-gaming]. Psychother. Psychosom. Med. Psychol. 61 216–224. 10.1055/s-0030-1263145 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Wood R. T., Griffith M. D. (2007). A qualitative investigation of problem gambling as an escape-based coping strategy. Psychol. Psychother. 80 107–125. 10.1348/147608306X107881 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Yee N. (2006). Motivations for play in online games. Cyberpsychol. Behav. 9 772–775. 10.1089/cpb.2006.9.772 [ PubMed ] [ CrossRef ] [ Google Scholar ]

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Survey: Half of Americans play games, but only 10 percent say they're gamers

by Charlie Hall

Source Pew Research Center

The Pew Research Center conducted a random, telephone-based survey of 2,001 American adults in order to gauge public perception about video games. Among the study’s findings are that while half of American adults play games, only 10 percent consider themselves to be “gamers.” In addition, this gamer minority appears to have starkly different views on gaming’s place in society.

While roughly half of all American adults play games (50 percent of men, and 48 percent women) the Pew study finds that 60 percent of those surveyed believe that most people who play games are men, “including 57 percent of women who themselves play video games.”

Pew found that men (15 percent) were more than twice as likely as women (6 percent) to refer to themselves as gamers. In the 18 to 29-year-old demographic, 33 percent of men self-identified as gamers while only 9 percent of women did. On the whole, Pew found that gamers were much more likely to disagree with negative portrayals of video games, including the following results:

35 percent of those who play video games (and 53 percent of those who identify as gamers) think most games are not a waste of time , compared with just 13 percent of those who do not play video games. 33 percent of those who play video games (and 46 percent of self-described gamers) do not think minorities are portrayed poorly in most games; 9 percent of game players (and 10 percent of gamers) think most games do portray minorities poorly; and 61 percent of those who do not play video games are unsure what to think on this issue. 26 percent of those who play video games (and 35 percent of self-identified gamers) do not think women are portrayed poorly in most games; 16 percent of game players (and 24 percent of self-identified gamers) think most games do portray women poorly; and 55 percent of those who do not play video games are unsure what to think on this topic.

While Pew says a “notable portion” of the American population seems to see a link between violence in video games and violence in society, overall Pew concludes that “public attitudes towards games — and the people who play them — are complex and often uncertain.”

The survey, which was conducted in June and July of this year, relied on a randomly dialed sample of landline and mobile telephone numbers and included both English and Spanish speakers. The full results are available online .

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Methodology: Teens and parents survey

The analysis in this report is based on a self-administered web survey conducted from Sept. 26 to Oct. 23, 2023, among a sample of 1,453 dyads, with each dyad (or pair) comprised of one U.S. teen ages 13 to 17 and one parent per teen. The margin of sampling error for the full sample of 1,453 teens is plus or minus 3.2 percentage points. The margin of sampling error for the full sample of 1,453 parents is plus or minus 3.2 percentage points. The survey was conducted by Ipsos Public Affairs in English and Spanish using KnowledgePanel, its nationally representative online research panel.

The research plan for this project was submitted to an external institutional review board (IRB), Advarra, which is an independent committee of experts that specializes in helping to protect the rights of research participants. The IRB thoroughly vetted this research before data collection began. Due the risks associated with surveying minors, this research underwent a full board review and received approval (Approval ID Pro00073203).

KnowledgePanel members are recruited through probability sampling methods and include both those with internet access and those who did not have internet access at the time of their recruitment. KnowledgePanel provides internet access for those who do not have it and, if needed, a device to access the internet when they join the panel. KnowledgePanel’s recruitment process was originally based exclusively on a national random-digit dialing (RDD) sampling methodology. In 2009, Ipsos migrated to an address-based sampling (ABS) recruitment methodology via the U.S. Postal Service’s Delivery Sequence File (DSF). The DSF has been estimated to cover as much as 98% of the population, although some studies suggest that the coverage could be in the low 90% range. 1

Panelists were eligible for participation in this survey if they indicated on an earlier profile survey that they were the parent of a teen ages 13 to 17. A random sample of 3,981 eligible panel members were invited to participate in the study. Responding parents were screened and considered qualified for the study if they reconfirmed that they were the parent of at least one child ages 13 to 17 and granted permission for their teen who was chosen to participate in the study. In households with more than one eligible teen, parents were asked to think about one randomly selected teen and that teen was instructed to complete the teen portion of the survey. A survey was considered complete if both the parent and selected teen completed their portions of the questionnaire, or if the parent did not qualify during the initial screening.

Of the sampled panelists, 1,763 (excluding break-offs) responded to the invitation and 1,453 qualified, completed the parent portion of the survey, and had their selected teen complete the teen portion of the survey yielding a final stage completion rate of 44% and a qualification rate of 82%. The cumulative response rate accounting for nonresponse to the recruitment surveys and attrition is 2.2%. The break-off rate among those who logged on to the survey (regardless of whether they completed any items or qualified for the study) is 26.9%.

Upon completion, qualified respondents received a cash-equivalent incentive worth $10 for completing the survey. To encourage response from non-Hispanic Black panelists, the incentive was increased from $10 to $20 on Oct. 5, 2023. The incentive was increased again on Oct. 10, 2023, from $20 to $40; then to $50 on Oct. 17, 2023; and to $75 on Oct. 20, 2023. Reminders and notifications of the change in incentive were sent for each increase.

All panelists received email invitations and any nonresponders received reminders, shown in the table. The field period was closed on Oct. 23, 2023.

The analysis in this report was performed using separate weights for parents and teens. The parent weight was created in a multistep process that begins with a base design weight for the parent, which is computed to reflect their probability of selection for recruitment into the KnowledgePanel. These selection probabilities were then adjusted to account for the probability of selection for this survey which included oversamples of Black and Hispanic parents.

Next, an iterative technique was used to align the parent design weights to population benchmarks for parents of teens ages 13 to 17 on the dimensions identified in the accompanying table, to account for any differential nonresponse that may have occurred.

To create the teen weight, an adjustment factor was applied to the final parent weight to reflect the selection of one teen per household. Finally, the teen weights were further raked to match the demographic distribution for teens ages 13 to 17 who live with parents. The teen weights were adjusted on the same teen dimensions as parent dimensions with the exception of teen education, which was not used in the teen weighting.

Sampling errors and tests of statistical significance take into account the effect of weighting. Interviews were conducted in both English and Spanish.

In addition to sampling error, one should bear in mind that question wording and practical difficulties in conducting surveys can introduce error or bias into the findings of opinion polls.

The following tables show the unweighted sample sizes and the error attributable to sampling that would be expected at the 95% level of confidence for different groups in the survey:

Sample sizes and sampling errors for subgroups are available upon request.

Dispositions and response rates

The tables below display dispositions used in the calculation of completion, qualification and cumulative response rates. 2

© Pew Research Center, 2024

• AAPOR Task force on Address-based Sampling. 2016. “AAPOR Report: Address-based Sampling.” ↩
• For more information on this method of calculating response rates, refer to Callegaro, Mario, and Charles DiSogra. 2008. “Computing response metrics for online panels.” Public Opinion Quarterly. ↩

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