Genitalia
Thinning hair
Demetrius is a 16-year-old Greek-American male who was admitted to the adolescent inpatient unit following an automobile collision. Demetrius has a history of major depression, school absences, and declining grades. His depression began at the onset of puberty. He reported that his automobile crash was not intentional, but that he was looking at his nose and acne in the rearview mirror when he lost control of his car on the freeway. No one else was with him; he has no friends and prefers to stay at home with his parents because he feels that his nose is hideous. He has never dated, avoids school functions, does not participate in sports, and believes that others laugh at the size of his nose. Demetrius is six feet tall, lanky, and thin. He has a full head of curly brown hair, a large nose, severe acne, and a pleasant demeanor.
While on the adolescent psychiatric unit, Demetrius spent a lot of time in the bathroom picking at his face, looking at his nose in reflective surfaces, and trying to manipulate his way out of group activities. He often had his hand over his nose and insisted on wearing a large hat and glasses on field trips. In spite of these behaviors, he was well-liked by others on the unit. Dermatology was consulted and his acne improved. Later that year, he had a rhinoplasty and his outlook was more positive. Two years later, he was readmitted following a suicide attempt after a breakup with his first girlfriend. At the second admission, he became convinced that he would be more appealing to women if he had cosmetic dentistry and began a bodybuilding regimen to achieve more definition of the muscles in his arms. At a five-year follow-up, Demetrius had quit high school and was living at home with his parents, not working, and on psychiatric disability.
Many theories have been proposed to explain the possible root causes of BDD, but no definitive etiology has been identified to date. Some popular theories include unrealistic societal standards and expectations, parental pressure, poor self-esteem, and neurotransmitter imbalances. 1 , 16 Cultural, social, and psychological components seem to play a role. One proposed model is similar to other psychiatric diagnoses that include genetic, cultural, and psychological factors 1 that manifest after a triggering event. For example, BDD may be triggered in a person genetically predisposed to anxiety who has been teased throughout high school about some distinguishing physical characteristic. One small study found that serotonin transporter promoter genes tend to be shorter in persons with BDD compared with the general population. 1 A 20 percent concordance rate of BDD among first-degree relatives has been described. 15
BDD is commonly missed, dismissed, and misdiagnosed in most medical settings. 3 Numerous studies have illustrated the rarity of a BDD diagnosis being included on a patient's problem list, even when looking at mental health records. 17 Successful treatment requires physician awareness of the disorder and a timely and accurate diagnosis. Table 3 2 lists diagnostic criteria for BDD.
A person is preoccupied with an imagined deficit in appearance. If a slight physical anomaly is present, the person's concern is markedly excessive |
The preoccupation causes clinically significant distress or impairment in social, occupational, or other important areas of functioning |
The preoccupation is not better accounted for by another mental disorder (e.g., anorexia nervosa) |
Patients are often reluctant or ashamed to admit to the problem or seek help for it. Important clinical features physicians should look for include: impairment in social functioning, such as avoidance of school, work, or other social situations; poor performance at school or work; and lateness caused by time spent grooming or camouflaging. Bodybuilders and patients with eating disorders also may have BDD. Muscle dysmorphia, considered by many to be a subtype of BDD, is characterized by excessive preoccupation and insecurity with one's musculature, resulting in excessive weight lifting, anabolic steroid use, and impaired social functioning. 18 Comorbid diagnoses such as obsessive-compulsive disorder (OCD), anorexia nervosa, and depression have also been well described. 19 , 20 However, BDD is a clinically distinct entity and its treatment differs in several important ways. Therefore, physicians should have a high index of suspicion for this disorder. Risk of depression and suicidality should be considered in patients with BDD because of the high correlation between these disorders. 11 , 12
To rule out an eating disorder, ask the patient if his or her main appearance-related concern is with not being thin enough. If not, BDD screening questions to ask the patient should cover the level of preoccupation and pervasiveness of thoughts related to the appearance of the body part; how much time is spent on these thoughts per day (e.g., less than one hour; one to three hours or longer); and how these thoughts have affected aspects of the patient's life (e.g., distress levels, social life impairment, productivity at school or work, avoidance behaviors, impact on friends and family). 1 A positive screen should include answers from the patient that indicate a high level of concern about the body part, which includes thinking about it for at least one hour per day and having at least one apsect of daily life significantly affected by this preoccupation. 1
One approach to treating patients with BDD is to change their appearance. However, procedures aimed at treating the underlying physical “defect,” usually performed by a plastic surgeon, dermatologist, or other medical subspecialist, have proved unsuccessful in patients with BDD. 21 , 22 The altered appearance may fall short of patient expectations and fail to relieve psychic distress, and additional changes may be sought. Before long, such patients may be seen as hypochondriacs or as having Munchausen syndrome. Consequently, the most important management point is to help patients with BDD to avoid surgical “corrections,” which only address a derivative symptom and leave the underlying ideation unchanged.
Whereas definitive treatments for BDD are unknown, pharmacologic interventions may be modeled on approaches to related disorders. Several classes of psychotropic medications have been tried since BDD was classified as a mental illness. Antipsychotics, monoamine oxidase inhibitors, and tricyclic antidepressants have been used; although anecdotal reports of treatment success appear in the literature, no randomized controlled trials (RCTs) are on record. In hindsight, it seems most likely that the treatment successes occurred in patients who had comorbid conditions such as major depression or an anxiety disorder, or in cases where the diagnosis should have been somatic delusional disorder.
Newer medications were tried when the central role of serotoninergic neurotransmission in the manifestation of obsessive thinking and compulsive behavior became clearer. Selective serotonin reuptake inhibitors (SSRIs) have been shown to effectively treat OCD. 23 This observation suggested the potential effectiveness of SSRIs for treatment of BDD, and led to several small-scale, open-label studies and a few RCTs. 24 – 29 The most rigorous of the RCTs used fluoxetine (Prozac). 24 The SSRIs were shown to reduce symptoms and subjective distress in 63 to 73 percent of patients. Dosages were higher than customarily used in the treatment of depressive disorders, and treatment response often took up to 12 weeks. 10 , 24 – 29 None of these agents are currently approved for the treatment of BDD; therefore, the prescription is off-label. It is unknown how long medication needs to be continued after BDD has gone into remission. Table 4 24 – 29 lists effective dosages of medications for BDD treatment.
Citalopram (Celexa) | 50 mg per day |
Clomipramine (Anafranil) | 140 mg per day |
Escitalopram (Lexapro) | 30 mg per day |
Fluoxetine (Prozac) | 80 mg per day |
Fluvoxamine (Luvox; brand only available in extended-release capsules) | More than 200 mg per day |
The limitations of SSRIs are evident, but they may provide relief in combination with psychotherapy. Promising psychotherapeutic approaches include cognitive behavior therapy (CBT), which appears to be a particularly useful adjunct to pharmacotherapy. 30 There are no data on record to document the comparative effectiveness of pharmacologic treatments and CBT. In CBT, the therapist assists the patient to correct (or “restructure”) cognitive distortions, putting the patient's negative self-perception into a different perspective to develop less negative beliefs about his or her appearance. This may involve helping the patient see an offensive body part in the context of his or her ethnic heritage or family connections. CBT methods have been employed in individual therapy arrangements 31 – 33 and group therapy formats. 34
When referring to a therapist, it is important to locate one with CBT training who has experience treating patients with eating disorders, OCD, and depression. Collaboration among psychiatrists and primary care physicians is essential. Table 5 lists resources that offer additional information about BDD.
: | |
---|---|
Los Angeles Body Dysmorphic Disorder Clinic | |
Research Studies | |
Web site: | |
BioBehavioral Institute, New York | |
Web site: http://www.biobehavioralinstitute.com | |
Body Image Program at Butler Hospital | |
Web site: | |
Harvard Medical School and Massachusetts | |
General Hospital | |
Web site: |
Phillips KA. The Broken Mirror: Understanding and Treating Body Dysmorphic Disorder . New York, NY: Oxford University Press; 2005.
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders . 4th ed. Washington, DC: American Psychiatric Association; 2002:510.
Wilson JB, Arpey CJ. Body dysmorphic disorder: suggestions for detection and treatment in a surgical dermatology practice. Dermatol Surg. 2004;30(11):1391-1399.
Sarwer DB, Whitaker LA, Pertschuk MJ, Wadden TA. Body image concerns of reconstructive surgery patients: an underrecognized problem. Ann Plast Surg. 1998;40(4):403-407.
Herren C, Armentrout T, Higgins M. Body dysmorphic disorder: diagnosis and treatment. Gen Dent. 2003;51(2):164-166.
Cotterill JA. Body dysmorphic disorder. Dermatol Clin. 1996;14(3):457-463.
Sarwer DB, Cash TF, Magee L, et al. Female college students and cosmetic surgery: an investigation of experiences, attitudes, and body image. Plast Reconstr Surg. 2005;115(3):931-938.
Bohne A, Keuthen NJ, Wilhelm S, Deckersbach T, Jenike MA. Prevalence of symptoms of body dysmorphic disorder and its correlates: a cross-cultural comparison. Psychosomatics. 2002;43(6):486-490.
Cansever A, Uzun O, Dönmez E, Ozsahin A. The prevalence and clinical features of body dysmorphic disorder in college students: a study in a Turkish sample. Compr Psychiatry. 2003;44(1):60-64.
Grant JE, Phillips KA. Recognizing and treating body dysmorphic disorder. Ann Clin Psychiatry. 2005;17(4):205-210.
Phillips KA, Didie ER, Menard W. Clinical features and correlates of major depressive disorder in individuals with body dysmorphic disorder. J Affect Disord. 2007;97(1–3):129-135.
Phillips KA, Menard W. Suicidality in body dysmorphic disorder: a prospective study. Am J Psychiatry. 2006;163(7):1280-1282.
Phillips KA. Body dysmorphic disorder: recognizing and treating imagined ugliness. World Psychiatry. 2004;3(1):12-17.
Phillips KA, Menard W, Fay C. Gender similarities and differences in 200 individuals with body dysmorphic disorder. Compr Psychiatry. 2006;47(2):77-87.
Phillips KA, Menard W, Fay C, Weisberg R. Demographic characteristics, phenomenology, comorbidity, and family history in 200 individuals with body dysmorphic disorder. Psychosomatics. 2005;46(4):317-325.
Slaughter JR, Sun AM. In pursuit of perfection: a primary care physician's guide to body dysmorphic disorder. Am Fam Physician. 1999;60(6):1738-1742.
Zimmerman M, Mattia JI. Body dysmorphic disorder in psychiatric outpatients: recognition, prevalence, comorbidity, demographic, and clinical correlates. Compr Psychiatry. 1998;39(5):265-270.
Pope CG, Pope HG, Menard W, Fay C, Olivardia R, Phillips KA. Clinical features of muscle dysmorphia among males with body dysmorphic disorder. Body Image. 2005;2(4):395-400.
Frare F, Perugi G, Ruffolo G, Toni C. Obsessive-compulsive disorder and body dysmorphic disorder: a comparison of clinical features. Eur Psychiatry. 2004;19(5):292-298.
Ruffolo JS, Phillips KA, Menard W, Fay C, Weisberg RB. Comorbidity of body dysmorphic disorder and eating disorders: severity of psychopathology and body image disturbance. Int J Eat Disord. 2006;39(1):11-19.
Crerand CE, Phillips KA, Menard W, Fay C. Nonpsychiatric medical treatment of body dysmorphic disorder. Psychosomatics. 2005;46(6):549-555.
Phillips KA, Grant J, Siniscalchi J, Albertini RS. Surgical and nonpsychiatric medical treatment of patients with body dysmorphic disorder. Psychosomatics. 2001;42(6):504-510.
Williams J, Hadjistavropoulos T, Sharpe D. A metaanalysis of psychological and pharmacological treatments for body dysmorphic disorder. Behav Res Ther. 2006;44(1):99-111.
Phillips KA, Albertini RS, Rasmussen SA. A randomized placebo-controlled trial of fluoxetine in body dysmorphic disorder. Arch Gen Psychiatry. 2002;59(4):381-388.
Phillips KA, Najjar F. An open-label study of citalopram in body dysmorphic disorder. J Clin Psychiatry. 2003;64(6):715-720.
Phillips KA. An open-label study of escitalopram in body dysmorphic disorder. Int Clin Psychopharmacol. 2006;21(3):177-179.
Hollander E, Allen A, Kwon J, et al. Clomipramine vs desipramine crossover trial in body dysmorphic disorder: selective efficacy of a serotonin reuptake inhibitor in imagined ugliness. Arch Gen Psychiatry. 1999;56(11):1033-1039.
Phillips KA, Dwight MM, McElroy SL. Efficacy and safety of fluvoxamine in body dysmorphic disorder. J Clin Psychiatry. 1998;59(4):165-171.
Perugi G, Giannotti D, Di Vaio S, Frare F, Saettoni M, Cassano GB. Fluvoxamine in the treatment of body dysmorphic disorder (dysmorphophobia). Int Clin Psychopharmacol. 1996;11(4):247-254.
Neziroglu F, Khemlani-Patel S. A review of cognitive and behavioral treatment for body dysmorphic disorder. CNS Spectr. 2002;7(6):464-471.
McKay D. Two-year follow-up of behavioral treatment and maintenance for body dysmorphic disorder. Behav Modif`. 1999;23(4):620-629.
Rosen JC, Reiter J, Orosan P. Cognitive-behavioral body image therapy for body dysmorphic disorder [published correction appears in J Consult Clin Psychol . 1995;63(3):437]. J Consult Clin Psychol. 1995;63(2):263-269.
Veale D, Gournay K, Dryden W, et al. Body dysmorphic disorder: a cognitive behavioral model and pilot randomised controlled trial. Behav Res Ther. 1996;34(9):717-729.
Wilhelm S, Otto MW, Lohr B, Deckersbach T. Cognitive behavior group therapy for body dysmorphic disorder: a case series. Behav Res Ther. 1999;37(1):71-75.
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Reprinted from Eating Disorders Review January/February 2009 Volume 20, Number 2 ©2009 Gürze Books
While persons with body dysmorphic disorder (BDD) are preoccupied with their imagined defects in appearance, they often hide their concerns from the outside world, making detection of the disorder a real challenge.
BDD affects an estimated 1% to 2% of the general population, and symptoms can be severe and their distressing and impairing preoccupation with imagined defects in appearance interferes with work and relationships. Comorbidity with major depressive disorder, substance use disorder, obsessive-compulsive disorder (OCD), and social phobia is common. For patients with eating disorders, shape, or weight preoccupation that is consistent with the disorder doees not constitute BDD. Criteria C for BDD states, “the preoccupation is not better accounted for any another mental disorder, such as dissatisfaction with shape and weight in Anorexia Nervosa.”
Nearly all patients with BDD have few or no friends and often avoid social interactions; some studies have reported that these patients’ quality of life is poorer than that of patients with OCD alone. In addition, 80% of patients with BDD report a history of suicidal ideation and about a fourth have attempted suicide. Results of one study noted that the rate of successful suicide among these patients is higher than in nearly all other mental disorders ( Am J Psychiatry 2006; 163:1280).
Patients with BDD usually are embarrassed and ashamed about BDD and thus hide their symptoms. In addition, many BDD patients believe their problems are physical and do not recognize that their beliefs are caused by an underlying psychological or psychiatric problem. Thus, clinicians need to specifically ask about symptoms, using focused questioning, according to the authors. Also, BDD symptoms need to be differentiated from other disorders with similar symptoms. For example, social phobia and avoidant personality disorder share the symptoms of self-consciousness and anxiety in social settings—in BDD, fears of negative feedback are due to concerns about physical appearance.
Dr. Katherine A. Phillips of Brown University, Providence, RI, and colleagues at UCLA School of Medicine and Harvard Medical School recently offered some key questions to help clinicians diagnose BDD ( Am J Psychiatry 165:9, 2008).
According to the authors, an important first step is engaging the patient and establishing an alliance, so that he or she is willing to consider psychiatric treatment. Often patients think cosmetic treatment is all they need, and would rather see a surgeon or dermatologist than a psychiatrist. However, patients with BDD usually eventually recognize that their quality of life is not good. Empathizing with their concerns about finding a better quality of life may help them make the decision to seek psychiatric help.
Dr. Phillips and colleagues suggest a series of questions that may help lead clinicians to make a diagnosis of hidden BDD.
The researchers also suggest that although the absence of compulsive behaviors does not rule out the diagnosis, it’s helpful to ask patients about behaviors such as: frequently comparing oneself to others, checking oneself in the mirror, excessive grooming, frequently touching the disliked body area(s), changing clothing often, skin-picking, tanning, dieting, excessive exercise or excessive weight-lifting.
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Barbara jiotsa.
1 Addictology and Liaison Psychiatry Department, Nantes University Hospital, 44000 Nantes, France; [email protected] (B.J.); [email protected] (B.N.); [email protected] (B.R.)
Mélanie duval.
2 Public Health Department, Nantes University Hospital, 44000 Nantes, France; [email protected]
Marie grall-bronnec.
3 Inserm UMR 1246, Nantes and Tours Universities, 44200 Nantes, France
The data presented in this study are available on request from the corresponding author.
(1) Summary: Many studies have evaluated the association between traditional media exposure and the presence of body dissatisfaction and body image disorders. The last decade has borne witness to the rise of social media, predominantly used by teenagers and young adults. This study’s main objective was to investigate the association between how often one compares their physical appearance to that of the people they follow on social media, and one’s body dissatisfaction and drive for thinness. (2) Method: A sample composed of 1331 subjects aged 15 to 35 (mean age = 24.2), including 1138 subjects recruited from the general population and 193 patients suffering from eating disorders, completed an online questionnaire assessing social media use (followed accounts, selfies posted, image comparison frequency). This questionnaire incorporated two items originating from the Eating Disorder Inventory Scale (Body Dissatisfaction: EDI-BD and Drive for Thinness: EDI-DT). (3) Results: We found an association between the frequency of comparing one’s own physical appearance to that of people followed on social media and body dissatisfaction and drive for thinness. Interestingly, the level of education was a confounding factor in this relationship, while BMI was not. (4) Discussion: The widespread use of social media in teenagers and young adults could increase body dissatisfaction as well as their drive for thinness, therefore rendering them more vulnerable to eating disorders. We should consequently take this social evolution into account, including it in general population prevention programs and in patients’ specific treatment plans.
Body image is defined as one’s perception, thoughts, and emotions revolving around one’s own body. It is the depiction of one’s body representation, including their mirror reflection, and it reflects social constructs, which depend on a society’s culture and norms. This conception is created using body ideals, substantially communicated via media, family, and peers.
For the last 30 years, media have been over-exposing people to thinness ideals, starting from a young age [ 1 ], turning this ideal into a new reference standard [ 2 ]. Young women, who are most sensitive to thinness ideals, tend to liken them to beauty and success [ 3 ]. Thus, etiologic models incorporating environmental factors consider social pressure about physical appearance to be a determining factor in developing eating disorders (EDs) [ 4 , 5 ].
However, even though this social pressure is indisputable, not all people are vulnerable to it. It is the degree with which they will relate to these thinness standards, namely how they internalize this ideal, that will help to predict the risk of developing an ED [ 6 ]. Indeed, internalizing thinness standards can lead to an alteration in body image, resulting in body dissatisfaction and exaggerated concerns about body and weight [ 4 ]. Body dissatisfaction is characterized by an inconsistency between one’s real body and the idealized body. It is one of the most studied psychological constructs in body image disorders literature [ 4 , 7 , 8 , 9 ]. According to the literature, it is often linked to psychological distress [ 10 , 11 ] and is a proven risk factor for developing an ED [ 12 , 13 ], through, in particular, the implementation of food restriction that can lead to anorexia nervosa (AN) [ 14 , 15 ] or to the onset of binge eating episodes (with or without compensatory behaviors to prevent weight gain). According to several authors, body dissatisfaction found in AN patients differs from that of control subjects by a greater feeling of inconsistency between their actual body and the desired body [ 16 ]. Indeed, in addition to overestimating the size of their actual shape, AN patients seek to resemble an ideal significantly thinner than subjects without EDs do. People with AN and bulimia nervosa share the same body image obsession, with the pervasive fear of gaining weight [ 4 ]. Finally, subjects with binge eating disorders tend to be overweight, or even obese, which can reinforce body dissatisfaction [ 17 ].
Social comparison, combined with the internalization of ideals, is one of the main mechanisms participating in one’s body image perception. These two mechanisms are instrumental in developing body dissatisfaction [ 1 , 18 , 19 ]. Several studies have shown that individuals who compare their physical appearance to that of others they considered to be more attractive than them, such as models or celebrities, had a higher chance of being dissatisfied with their body image and developing an ED [ 20 , 21 , 22 , 23 ].
Although historically speaking, body norms have been mainly conveyed through traditional media (TV, radio, newspaper, magazines), the last few years have borne witness to the rise and expansion of social media use. The term “social media” refers to every website and online mobile app with user-generated content. They enable their users to participate in online exchanges, broadcast self-made content, and join virtual communities. They are mostly used by teenagers and young adults, and the most common ones are Facebook, Instagram, Snapchat, and Twitter. Several studies have suggested that social media exposure could foster body dissatisfaction and result in risky eating behaviors by broadcasting thinness ideals individuals thus long for [ 18 , 24 , 25 ]. Among the identified mechanisms that explain this outcome, the most common ones are social comparison based on physical appearance and thinness ideals’ internalization through daily exposure to idealized bodies. Indeed, physical appearance holds a central place in social media today [ 26 ].
There is, to this day, a lack of scientific data, and in particular French data, about the association between the use of social media and risky eating behaviors [ 27 ]. In this context, this study’s main objective was to study the association between, on one hand, daily exposure to idealized bodies through social media and, on the other hand, the presence of two dimensions fostering body image disorders: body dissatisfaction and drive for thinness. A secondary objective was to compare two populations, one with a risk of suffering from ED, and the other one free of that risk, using different variables. The hypothesis was that at-risk participants were more dissatisfied with their physical appearance, had a higher drive for thinness, and compared themselves more often to social-media-conveyed images.
2.1. study design and ethics statements.
This is a transversal observational study. Participants had to answer a questionnaire available online. Since it was an investigation involving the health field, but with an objective that did not involve the developing of biological or medical knowledge, it not fit in the French Jardé legal framework (and thus, approval from an ethics committee was not required). Data collection was made anonymously, was digitalized, and was realized outside of a care setting. Answering the questionnaire was interpreted as consent for data use, as it displayed that the results would be used in a survey, but that the participation would be anonymous, and that there were no data that would lead them to be recognized should they decide to participate.
The study’s general population participants were enlisted via a social media publication (Facebook, Instagram, Twitter) and via posters in gyms. These posters were also sent to health workers with a practice in Nantes and in different French cities (psychiatrists, GPs, psychologists, etc.), who were tasked with informing their ED patients about this study. The Fédération Française Anorexie Boulimie (FFAB, French Federation for Anorexia and Bulimia), which is an association regrouping professionals working in the ED field, helped to broadcast the questionnaire using mailing lists, social media, and websites. Recruitment occurred between September 2019 and December 2019.
The inclusion criteria were as follows: using their Facebook and/or Instagram account daily and being 15 to 35 years old. This age range was chosen in light of the current literature, which shows that use of social media and body image concerns involved mainly teenagers and young people [ 28 , 29 ]. Moreover, participants recruited via a health professional had to register their ED diagnosis for which they were treated.
2.3.1. general data.
The questionnaire’s first part was designed to register sex, age, degrees, and current height and weight to measure body mass index (BMI).
The questionnaire’s second part interrogated the participants about their use of social media: platform, frequency (number of uses per day), time spent (hours per day), frequency of comparing one’s physical appearance to that of people followed on social media, and the frequency of posting “selfies” (a photograph that you take of yourself).
The questionnaire’s third part evaluated body image perception, using the Eating Disorder Inventory-2 (EDI-2) scale, translated and adapted in French [ 30 , 31 ]. It is a self-rated questionnaire evaluating psychological characteristics and symptoms associated with ED, using 11 subscales. We used the “Drive for Thinness” subscale (EDI-DT), composed of 7 questions (score of 0 to 21), and “Body Dissatisfaction” subscale (EDI-BD), composed of 9 questions (score of 0 to 27). The subscales are presented in Table 1 .
Drive for Thinness and Body Dissatisfaction subscales of Eating Disorder Inventory-2.
Drive for Thinness | Always (=3) | Usually (=2) | Often (=1) | Sometimes (=0) | Seldom (=0) | Never (=0) |
---|---|---|---|---|---|---|
1—I eat sweets and carbohydrates without feeling nervous | ||||||
2—I think about dieting | ||||||
3—I feel extremely guilty after overeating | ||||||
4—I am terrified of gaining weight | ||||||
5—I exaggerate or magnify the importance of weight | ||||||
6—I am preoccupied with the desire to be thinner | ||||||
7—If I gain a pound, I worry that I will keep gaining | ||||||
1—I think that my stomach is too big (+) | ||||||
2—I think that my thighs are too large (+) | ||||||
3—I think that my stomach is just the right size (−) | ||||||
4—I feel satisfied with the shape of my body (−) | ||||||
5—I like the shape of my buttocks (−) | ||||||
6—I think my hips are too big (+) | ||||||
7—I think that my thighs are just the right size (−) | ||||||
8—I think my buttocks are too large (+) | ||||||
9—I think that my hips are just the right size (−) |
The questionnaire’s last part aimed at screening ED, using the Sick-Control-One Stone-Fat-Food (SCOFF) self-questionnaire. It is a simple survey of 5 questions used to screen eating disorders in general population [ 32 ]. The French validation depicted this questionnaire to be as efficient and relatable as the original, with a great sensitivity and specificity in diagnosing ED when a patient has a score of 2 or over [ 33 ]. It enabled us to sort the population sample into two groups depending on their risk of having an ED: when their score was ≥2, they were sorted in the “SCOFF positive” group, and when their score was <2, in the “SCOFF negative” group. The SCOFF questionnaire is presented in Table 2 .
Sick-Control-One Stone-Fat-Food (SCOFF) questionnaire.
Yes | No | |
---|---|---|
1—Do you make yourself sick because you feel uncomfortably full? | □ | □ |
2—Do you worry you have lost control over how much you eat? | □ | □ |
3—Have you recently lost over 1 stone (14 lb) in a 3-month period? | □ | □ |
4—Do you believe yourself to be fat when others say you are too thin? | □ | □ |
5—Would you say that food dominates your life? | □ | □ |
Yes = 1 point; score of ≥2 suggests an eating disorder.
A descriptive statistical analysis was conducted for the entire sample. Continuous variables are described by means and standard deviations, while categorical variables are presented as numbers and percentages.
We asked all participants to complete the SCOFF questionnaire, so that they were sorted into two groups depending on their results: the “SCOFF+” group gathering all participants with a SCOFF score of 2 or over, and therefore with the risk of suffering from an ED, and the “SCOFF−” group gathering all participants with a SCOFF score under 2. These two groups were then compared based on all collected variables. We applied a Student’s t -test for quantitative variables (“age”, “EDI-BD”, “EDI-DT”, and “average BMI”), a Chi-squared test for qualitative variables (“sex”, “level of education”, “social media use frequency”, “time spent”, “body comparison”, “groups of BMI”), and Fisher exact test for multimodal qualitative variables whose theoretical headcount did not allow the use of the Chi-squared test (“posting selfies”).
Then, we looked for an association between the frequency of comparing one’s own physical appearance to that of people followed on social media and the scores measured using the EDI Body Dissatisfaction and Drive for Thinness subscales. We thus performed two linear regressions with adjustment for two potential confounding factors (BMI and level of education). Confounding factor status was assessed by searching for an association of the two variables with EDI subscores on the one hand and with the frequency of comparing one’s own physical appearance to that of people followed on social media on the other hand.
The significance threshold for all these analyses was set at p = 0.05 (α risk of 5%).
Statistical analyses were done using the SPSS software (Statistical Package for Social Science, IBM, Armonk, NY, USA).
In total, 1407 questionnaires were completed, and 1331 were analyzed. A total of 1138 subjects were from the general population, and 193 were ED patients recruited via health workers. Seventy-six completed questionnaires (5.4%) were excluded from the analysis because they did not match the age criteria or because their ED diagnosis was not communicated (for ED patients recruited via health workers). Figure 1 represents the study’s flowchart.
Flow chart of subjects’ inclusion.
The participants’ age ranged from 15 to 35 (M = 24.2, σ = 4.2). Most were women (97.7%). They had, for the most part, a Bachelor’s degree. Mean BMI was 22.3 (σ = 4.2).
Table 3 presents the final sample’s characteristics.
Final sample characteristics and comparison between SCOFF+ and SCOFF− groups.
Final Sample ( = 1331) | SCOFF− ( = 378) | SCOFF+ ( = 953) | Value | ||||
---|---|---|---|---|---|---|---|
Mean or Number of Participants | Standard Deviation or Percentage | Mean or Number of Participants | Standard Deviation or Percentage | Mean or Number of Participants | Standard Deviation or Percentage | ||
24.2 | 4.2 | 25.1 | 4.2 | 23.9 | 4.2 | <0.001 *** | |
(Student’s -test) | |||||||
0.012 * | |||||||
Female | 1300 | 97.7% | 363 | 96.0% | 937 | 98.3% | (Chi-squared test) |
Male | 31 | 2.3% | 15 | 4.0% | 16 | 1.7% | |
<0.001 *** | |||||||
Less than Level 12 | 71 | 5.3% | 16 | 4% | 55 | 6% | (Chi-squared test) |
Level 12 | 229 | 17.2% | 62 | 16% | 167 | 18% | |
Level 12 + 2 years | 208 | 15.6% | 50 | 13% | 158 | 17% | |
Level 12 + 3 (Bachelor’s degree) | 320 | 24.0% | 89 | 24% | 231 | 24% | |
Level 12 + 5 (Master’s degree) | 380 | 0.285 | 96 | 25% | 284 | 30% | |
Degree over Level 12 + 5 | 123 | 0.092 | 65 | 17% | 58 | 6% | |
<0.001 *** | |||||||
Max. once a day | 64 | 5% | 17 | 4% | 47 | 5% | (Chi-squared test) |
2 to 10 times a day | 578 | 43% | 194 | 51% | 384 | 40% | |
10 to 20 times a day | 439 | 33% | 115 | 30% | 324 | 34% | |
Over 20 times a day | 250 | 19% | 52 | 14% | 198 | 21% | |
0.010 ** | |||||||
Less than 1 h | 232 | 17% | 81 | 21% | 151 | 16% | (Chi-squared test) |
Between 1 and 5 h | 1048 | 79% | 289 | 76% | 759 | 80% | |
Over 5 h | 51 | 4% | 8 | 2% | 43 | 5% | |
<0.001 *** | |||||||
Never | 33 | 2% | 18 | 5% | 15 | 2% | (Chi-squared test) |
Seldom | 114 | 9% | 56 | 15% | 58 | 6% | |
Sometimes | 317 | 24% | 130 | 34% | 187 | 20% | |
Often | 523 | 39% | 133 | 35% | 390 | 41% | |
Always | 344 | 26% | 41 | 11% | 303 | 32% | |
<0.001 *** | |||||||
Never | 457 | 34% | 146 | 39% | 311 | 33% | (Fisher exact test) |
1 or 2 times a month | 756 | 57% | 199 | 53% | 557 | 58% | |
Once a week | 93 | 7% | 24 | 6% | 69 | 7% | |
3 to 4 times a week | 18 | 1% | 7 | 2% | 11 | 1% | |
Daily | 7 | 1% | 2 | 1% | 5 | 1% | |
12.4 | 7.5 | 7.9 | 6.6 | 14.2 | 7 | <0.001 *** | |
(Student test) | |||||||
8.9 | 6 | 4.1 | 4.2 | 10.8 | 5.5 | <0.001 *** | |
(Student test) | |||||||
22.3 | 4.2 | 22.2 | 3.5 | 22.3 | 4.5 | 0.575 | |
(Student test) | |||||||
<0.001 *** | |||||||
<17.5 | 96 | 7.2% | 9 | 2.4% | 87 | 9.1% | (Chi-squared test) |
[17.5–25] | 981 | 73.7% | 306 | 81.0% | 675 | 70.8% | |
≥25 | 254 | 19.1% | 63 | 16.7% | 191 | 20.0% |
Note. BDI: body mass index; EDI-IC: Eating Disorder Inventory—Body Dissatisfaction; EDI-RM: Eating Disorder Inventory—Drive for Thinness. *: p < 0.05; **: p < 0.01; ***: p < 0.001. According to the International Classification of Diseases, anorexia nervosa is associated with a BMI < 17.5.
Most participants declared using Facebook (93%) and Instagram (92.8%). Other social media were less frequently used: Snapchat (68.4%), Twitter (29.1%), and Tiktok (2.5%).
In total, 57.3% of participants had a private account and 42.7% an account open to the public. Users declared that they used social media mainly to “like posts” (82.7%) and to “observe content, as ghost followers (bots or inactive accounts)” (65.4%). In total, 92.7% said that they used social media to “follow friends and acquaintances”, “follow healthy food content” (68%), “follow the news” (67%), and “follow fitness content” (61.2%).
Regarding participants recruited via health workers for whom data were analyzed (N = 193), the most frequently reported ED was anorexia nervosa restricting type (41%), followed by anorexia nervosa purging type (28%), binge eating disorder (16%), bulimia nervosa (12%), and unspecified feeding or eating disorder (9%).
The final sample was sorted into two groups according to the SCOFF’s results ( n = 953 in the SCOFF+ group; n = 378 in the SCOFF− group). These groups were compared using all described variables, and the results are showcased in Table 3 .
SCOFF+ group subjects had a significantly higher social media use (regarding both frequency and time spent), a significantly higher frequency of comparing their physical appearance to that of people they followed, and of posting selfies.
In addition, they declared having significantly higher EDI-BD and EDI-DT scores than SCOFF− subjects ( p < 0.001), and they more frequently had BMI both in the lower and higher ranges.
In the search for confounding factors associated with both the frequency of comparing one’s own physical appearance to that of people followed on social media and EDI-BD and EDI-DT scores, we found a significant association between the level of education and the frequency of comparing one’s own physical appearance to that of people followed on social media ( Table 4 ). Similarly, we observed an association between the modality “Level of education ≥12” and EDI-BD: participants with a level of education ≥12 had a mean EDI-BD score 2.5 points lower compared to that of participants with a level of education <12 ( Table 5 ). We also found a similar association between the modality “Level of education ≥12” and EDI-DT: participants with a level of education ≥12 had a mean EDI-DT score 3 points lower compared to that of participants with a level of education <12 ( Table 6 ).
Association between level of education and frequency of comparing one’s own physical appearance to that of people followed on social media.
Chi-Squared Test | -Value | |
---|---|---|
Frequency of comparing one’s own physical appearance | 38.165 | 0.008 ** |
Note. **: p < 0.01.
One-way ANOVA results looking for a link between EDI-BD score and level of education.
Estimates | -Value | |
---|---|---|
Intercept | 13.620 | <2 × 10 *** |
Studies level: Less than level 12 | ||
Studies level: Level 12 | −0.672 | 0.507 |
Studies level: Level 12 + 2 years | −0.778 | 0.447 |
Studies level: Level 12 + 3 (Bachelor’s degree) | −1.560 | 0.110 |
Studies level: Level 12 + 5 (Master’s degree) | −1.307 | 0.175 |
Degree over Level 12 + 5 | −2.538 | 0.022 * |
Global p -value = 0.1338. Note: The modality “Less than level 12” was chosen as the reference modality for this analysis. *: p < 0.05; ***: p < 0.001.
One-way ANOVA results looking for a link between EDI-DT score and level of education.
Estimates | -Value | |
---|---|---|
Intercept | 10.141 | <2 × 10 *** |
Studies level: Less than level 12 | ||
Studies level: Level 12 | −0.730 | 0.368 |
Studies level: Level 12 + 2 years | −0.477 | 0.561 |
Studies level: Level 12 + 3 (Bachelor’s degree) | −1.328 | 0.090 |
Studies level: Level 12 + 5 (Master’s degree) | −1.451 | 0.061 |
Degree over Level 12 + 5 | −3.019 | 0.0007 *** |
Global p -value = 0.0016. Note: The modality “Less than level 12” was chosen as the reference modality for this analysis. ***: p < 0.001.
Furthermore, we did not find any significant association between BMI and the frequency of comparing one’s own physical appearance to that of people followed on social media ( Table 7 ). A significant but very weak correlation (<0.3) was found between the BMI and the two EDI subscores ( Table 8 ). In view of these results, we did not retain BMI as a confounding factor for the following analysis.
One-way ANOVA results looking for a link between BMI and frequency of comparing one’s own physical appearance to that of people followed on social media.
Estimates | -Value | |
---|---|---|
Intercept | 21.109 | <2 × 10 *** |
Body comparison: Never | ||
Body comparison: Seldom | 1.002 | 0.233 |
Body comparison: Sometimes | 1.049 | 0.177 |
Body comparison: Often | 1.155 | 0.130 |
Body comparison: Always | 1.384 | 0.074 |
Global p -value = 0.4368. Note: The modality “Never” was chosen as the reference modality for this analysis. ***: p < 0.001.
Results of association between BMI and EDI scores.
Coefficient de Correlation de Pearson Avec son IC à 95% | -Value | |
---|---|---|
EDI-DT | 0.071 [0.017; 0.1239] | 0.0099 ** |
EDI-BD | 0.253 [0.202; 0.302] | <0.001 *** |
Note. EDI-BD: Eating Disorder Inventory—Body Dissatisfaction. **: p < 0.01; ***: p < 0.001.
The results of the search for an association between the frequency of comparing one’s own physical appearance to that of people followed on social media and EDI Body Dissatisfaction and Drive for Thinness scores are presented in Table 9 and Table 10 . As showcased in Table 9 , the “Sometimes”, “Often”, and “Always” frequency of comparing modalities were significantly associated with the EDI-DT score. Participants who sometimes compared their own physical appearance to that of people followed on social media had a mean EDI-DT score 2.0 points higher than that of those who never compared themselves; those who often compared themselves had a mean EDI-DT score 5.3 points higher; and those who always compared themselves had a mean EDI-DT score 8.4 points higher.
Linear regression looking for a link between EDI-DT score and frequency of comparing one’s own physical appearance to that of people followed on social media.
Estimates | -Value | |
---|---|---|
Intercept | 5.859 | 8.7 × 10 *** |
Body comparison: Never | ||
Body comparison: Seldom | 0.438 | 0.678 |
Body comparison: Sometimes | 2.021 | 0.038 * |
Body comparison: Often | 5.314 | 3.4 × 10 *** |
Body comparison: Always | 8.421 | <2.2 × 10 *** |
Studies level: Less than level 12 | ||
Studies level: Level 12 | −1.399 | 0.053 |
Studies level: Level 12 + 2 years | −1.415 | 0.0539 |
Studies level: Level 12 + 3 (Bachelor’s degree) | −1.723 | 0.0138 * |
Studies level: Level 12 + 5 (Master’s degree) | −1.999 | 0.0038 ** |
Degree over Level 12 + 5 | −2.936 | 0.0002 *** |
Global p -value <2.2 × 10 −16 ***. Note: Modalities “Less than level 12” and “Never” were chosen as the reference modalities for this analysis. *: p < 0.05; **: p < 0.01; ***: p < 0.001.
Linear regression looking for a link between EDI-BD score and frequency of comparing one’s own physical appearance to that of people followed on social media.
Estimates | -Value | |
---|---|---|
Intercept | 9.087 | 1.1 × 10 *** |
Body comparison: Never | ||
Body comparison: Seldom | 1.225 | 0.365 |
Body comparison: Sometimes | 1.768 | 0.158 |
Body comparison: Often | 5.564 | 6.5 × 10 *** |
Body comparison: Always | 9.226 | 2.4 × 10 *** |
Studies level: Less than level 12 | ||
Studies level: Level 12 | −1.437 | 0.122 |
Studies level: Level 12 + 2 years | −1.785 | 0.058 |
Studies level: Level 12 + 3 (Bachelor’s degree) | −1.986 | 0.027 * |
Studies level: Level 12 + 5 (Master’s degree) | −1.940 | 0.029 * |
Degree over Level 12 + 5 | −2.471 | 0.016 * |
Global p -value <2.2 × 10 −16 ***. Note: Modalities “Less than level 12” and “Never” were chosen as the reference modalities for this analysis. *: p < 0.05; ***: p < 0.001.
In addition, according to Table 10 , the “Often” and “Always” frequency of comparing modalities were significantly associated with the EDI-BD score. Participants who often compared their own physical appearance to that of people followed on social media had a mean EDI-BD score 5.6 points higher than that of those who did not, and those who always compared themselves to social media images had an average EDI-BD score 9.2 points higher than that of those who never did.
4.1. discussing the main results.
Our survey aimed to study the links between social media use, body image disorders, and ED prevalence in a teenage and young adult population.
First, we found that ED or at-risk of ED subjects presented significantly different results concerning all social media use parameters. Using platforms such as Facebook and Instagram has been particularly associated with a higher body dissatisfaction and the appearance of ED symptoms [ 27 , 34 ]. As was expected, in ED or at-risk of ED patients, Body Dissatisfaction rates were higher, as was their Drive for Thinness. A common ED assumption is that ED patients develop a cognitive structure that focalizes on weight, combined with, most of the time, a mistaken perception of their own body image, especially in anorexia nervosa. These subjects tend to yearn for a thinner body ideal than the general population, thus creating a substantial inconsistency between what they think they look like and what they yearn to look like [ 35 ]. Leahey and her colleagues in 2011 [ 36 ] found that, in addition to increasing body dissatisfaction, social comparisons have an influence on negative effects, guilt, as well as diets and physical-activity-centered thoughts.
Participants in general were seldom prone to posting selfies. Ridgway and her colleagues [ 37 ] conducted in 2018 a study on Instagram and posting selfies, which showed that a higher body image satisfaction was associated with an increase in posting selfies. This could explain the low percentage of self-promoting subjects found in this study.
Second, we confirmed the existence of a significant association between, on one hand, the frequency of comparing one’s own physical appearance to that of people followed on social media and, on the other hand, Body Dissatisfaction and Drive for Thinness scores measured using the EDI scale. It seems that the more the subjects compared themselves to the images, the more they increased their body dissatisfaction and their drive for thinness. However, this association can work two ways. Indeed, it could be that the depth of body dissatisfaction and the drive for thinness increase the inclination to compare oneself to images. Our results are in accordance with those found in the literature, which identified a link between social media use and body image disorders [ 26 , 38 , 39 ]. It has also been found that subjects who often compared their physical appearance to that of idealized images were more dissatisfied with their body and had a higher drive for thinness than those who compared themselves less often [ 40 , 41 ]. Interestingly, the level of education was a confounding factor in this relationship, while BMI was not. Indeed, the relation between frequency of comparing one’s own physical appearance to that of people followed on social media on the one hand and EDI DT and BD subscores on the other hand is modified by the level of education, starting from a level corresponding to a Bachelor’s degree (>12 + 3 years).
Self-assessment is a fundamental reflexive analysis tool [ 42 ]. It plays an essential part in self-positioning among others and oneself. This self-evaluation must resort to social comparisons, which have a direct link to self-esteem. Body image’s sociocultural construct takes shape using body ideals that are broadcasted through, in particular, media, family, and peers and are thereafter internalized by individuals [ 43 ]. Reaching these body norms is usually perceived as proof of self-control and success, which leads one to stand out from the crowd in a positive way [ 44 ]. Internalizing body ideals thus creates an authentic concern for one’s physical appearance, which will be observed and judged by others [ 45 ]. This can trigger body dissatisfaction, which usually involves feeling inadequate in one’s body, estranged from the ideal one pursues [ 43 ]. Fear of gaining weight can be exacerbated when thinness is one of narcissism’s only tools. It can lead to behaviors such as food restriction, excessive physical activity, with the aim of modifying one’s appearance and thus fit into social standards. This excessive self-surveillance can bring about emotional and psychological consequences, including shame about one’s own body, self-bashing, anxiety, and depression, up to ED [ 46 ].
Finally, although estimating ED prevalence in a young adult population was not an objective determined beforehand, we must point out that most participants had a SCOFF+ result (71%), suggesting they might suffer from an ED. This questions whether a more systematic ED screening should be done in teenage and young adult populations, which are ED’s main targets. Several studies in which teenagers were interviewed have shown that they often are dissatisfied with their bodies, feeling like they are “too fat”, and most of them have already followed a diet [ 47 , 48 , 49 ]. These diets can include ingesting smaller portions, eating healthier food, up to major food restrictions and complete removal of some types of food, which can be found in ED.
There are several limits to this study. First, it is a transversal study, which cannot prove the existence of a causal relationship between the studied variables. Therefore, longitudinal studies are necessary in finding out how this association works. Second, the online questionnaire was not designed to collect data that could be considered as indicators of individual or family vulnerabilities for ED, which did not allow for stratified analyses. Third, measuring the time spent on social media and how often participants used it was done through self-reported data, which could induce a declaration bias, thus limiting the data’s precision. Future studies could use technologies such as data tracking (virtual counter measuring connection frequency and time spent) in order to have more precise data and thus be more confident in the data’s reliability. Fourth, the participants’ recruitment induced a selection bias. Indeed, having used daily use of social media as an inclusion criterion leads to selecting a certain type of population and renders irrelevant any extrapolation to the general population. Moreover, recruiting via gyms may have led to selecting individuals with a specific concern for their body image. We can assume that these subjects, who paid specific attention to their physical appearance, might have certain demands concerning themselves, which might involve body dissatisfaction and an exaggerated drive for thinness. The daily use of social networks could also be a reflection of excessive body concerns, which could lead to more body dissatisfaction and a more pronounced drive for thinness compared to subjects who are less exposed to these kinds of media. Fifth, our participants recruited via health workers may not be representative of all ED patients for several reasons: ED diagnosis was self-reported, anorexia nervosa restricting type was overrepresented in our sample, and the most severe patients may not be psychologically available to participate in a study like this one. Finally, the SCOFF questionnaire is a screening tool and not a diagnostic one. It does not enable discriminating between anorexia nervosa, bulimia nervosa, or binge eating disorder among participants, but we can assume that all types of ED were present in the SCOFF+ group, as the participants in this group more frequently had BMI both in the lower and higher ranges.
However, these limits are balanced by the study’s strengths. First, the sample rallied a significant number of participants, and their sorting into two groups after ED screening was quite proportionate, which ensured the statistical analyses’ power. Second, EDs were screened using a validated tool for the general population, and the Body Dissatisfaction and Drive for Thinness dimensions were evaluated using a self-questionnaire whose psychometric characteristics have been validated in clinical populations. Finally, to the extent of our knowledge, this type of study had never been conducted in France, thus bringing forth unprecedented data.
This study’s results open new avenues for clinicians to explore social media use and cognitive pathways in ED. Indeed, social media exposure and, in particular, exposure to edited and idealized images could contribute to inaccurate thought processes about body image, internalizing what is socially valued on social media as a personal goal. Since we know that cognitive pathways play an important part in ED development and continuation [ 50 ], it seems relevant to explore patients’ use of social media and the cognitions associated. This could contribute to increasing psychotherapy’s efficacy, enriching prevention programs using cognitive dissonance, therapies that have been proven to be effective in reducing ED symptoms’ intensity [ 51 ]. A way to implement this could be to encourage the development of the ability to question social media, encouraging patients to think of arguments that go against posting idealized photos on social media [ 27 ].
When considering the general population, when we see how important social comparison based on physical appearance is in developing body dissatisfaction, prevention programs could be useful. It seems relevant to encourage teenagers, particularly those with the tendency to compare themselves to their peers, to evaluate their body using health criteria instead of using other peoples’ bodies as a standard. Additionally, it would be interesting to intervene by deconstructing the “ideal body” myth, with the goal of diminishing the comparison to “idols”. Finally, it seems relevant to inform people that some role models’ BMI and body type are not representative of those of most of the population and that trying to reach their body type could be harmful. ED screening in this population should thus be more systematic.
To summarize, we found an association between the frequency of comparing one’s own physical appearance to that of people followed on social media and body dissatisfaction and drive for thinness. Interestingly, the level of education was a confounding factor in this relationship, while BMI was not. The widespread use of social media in teenagers and young adults could increase body dissatisfaction as well as their drive for thinness, therefore rendering them more vulnerable to eating disorders.
The authors would like to thank the French Federation for Anorexia and Bulimia (Fédération Française Anorexie-Boulimie (FFAB)), who allowed the broadcasting of the questionnaire to its members, ED-specialized health workers.
Study concept and design: B.J., B.R., and M.G.-B. Analysis and interpretation of data: B.J., B.N., B.R., and M.G.-B. Statistical analysis: M.D. Study supervision: B.R. and M.G.-B. Investigation (data collection): B.J., B.R., and M.G.-B. Writing—original draft: B.J. and B.N. Critical revision: M.D., B.R., and M.G.-B. Writing—revised version of the manuscript: B.J., M.D., and M.G.-B. All authors have read and agreed to the published version of the manuscript.
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Since the study was an investigation involving the health field, but with an objective that did not involve the development of biological or medical knowledge, it not fit in the French Jardé legal framework. The approval from an ethics committee was not required according to the current French legislation.
Data collection was made anonymously. According to the current French legislation, answering the questionnaire was interpreted as consent for data use.
Conflicts of interest.
The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
COMMENTS
BDD is a common condition with a prevalence of around 2% in young people (Veale et al., 2016). The disorder, characterised by preoccupation with a perceived flaw (s) in one's appearance, leads sufferers to engage in repetitive behaviours to try to hide or fix the flaw (s) causing significant distress and interference.
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Body Image Discussion Questions | Worksheet
Social Media Use and Body Image Disorders