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The social media diet: A scoping review to investigate the association between social media, body image and eating disorders amongst young people

Abstract

Background

Eating disorders are a group of heterogenous, disabling and deadly psychiatric illnesses with a plethora of associated health consequences. Exploratory research suggests that social media usage may be triggering body image concerns and heightening eating disorder pathology amongst young people, but the topic is under-researched as a global public health issue.

Aim

To systematically map out and critically review the existing global literature on the relationship between social media usage, body image and eating disorders in young people aged 10–24 years.

Methods

A systematic search of MEDLINE, PyscINFO and Web of Science for research on social media use and body image concerns / disordered eating outcomes published between January 2016 and July 2021. Results on exposures (social media usage), outcomes (body image, eating disorders, disordered eating), mediators and moderators were synthesised using an integrated theoretical framework of the influence of internet use on body image concerns and eating pathology.

Results

Evidence from 50 studies in 17 countries indicates that social media usage leads to body image concerns, eating disorders/disordered eating and poor mental health via the mediating pathways of social comparison, thin / fit ideal internalisation, and self-objectification. Specific exposures (social media trends, pro-eating disorder content, appearance focused platforms and investment in photos) and moderators (high BMI, female gender, and pre-existing body image concerns) strengthen the relationship, while other moderators (high social media literacy and body appreciation) are protective, hinting at a ‘self-perpetuating cycle of risk’.

Conclusion

Social media usage is a plausible risk factor for the development of eating disorders. Research from Asia suggests that the association is not unique to traditionally western cultures. Based on scale of social media usage amongst young people, this issue is worthy of attention as an emerging global public health issue.

Introduction

Eating disorders in the 21st century

Types and burden.

Eating disorders are a group of heterogenous, disabling and deadly psychiatric illnesses that severely impair daily psychological and social functioning [1]. Characterised by disturbed body image attitudes and extreme preoccupations with weight and shape, eating disorders manifest as persistent and worrisome disordered eating behaviours [2]. International ICD-11 and DSM-5 diagnostic classification tools recognise six principal clinical eating disorders [Table 1] [3]. A supplementary Other Specified Feeding and Eating Disorder (OSFED) category captures approximately 60% of cases that do not meet criteria for clinical diagnosis [4].

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Table 1. Types of clinical and subclinical eating disorders and typical pathology.

https://doi.org/10.1371/journal.pgph.0001091.t001

Eating disorders incur an estimated 6–10% increase in years lived with disability [7]. Outcomes range from cardiovascular disease, reduced bone density, to comorbid psychiatric conditions, namely depression, anxiety, obsessive compulsive disorder and specific phobias [8, 9]. Amongst young females, eating disorders are one of the leading causes of disability, often preceding amenorrhea, reduced fertility, and adverse pregnancy and neonatal outcomes [10, 11]. Anorexia has the highest mortality amongst all mental disorders: only 50% of individuals fully recover [7, 8, 12].

The cost of eating disorders at a health systems level is significant, fuelled by increased hospitalisations and the significant burden placed on primary and outpatient services. At a societal level, reduced workforce participation, family members as unpaid carers and young people out of education are noteworthy outcomes of eating disorders [11].

Epidemiology.

Despite perceptions of eating disorders as a culturally bound syndrome of the West, they affect individuals worldwide [7]. Estimating global prevalence, however, is challenging. Nationally representative data are scarce, the disorder tends to be omitted from national health surveys, and multiple changes to classification have confounded existing global data [1315]. Despite this, the most recent Global Burden of Disease study calculated that in 2019, approximately 13.9 million people suffered from Anorexia or Bulimia. A subsequent review highlighted an additional 41.9 million overlooked cases of OSFED and binge eating disorder, indicating a total global prevalence of 0.7% [2]. However, since many cases never present at formal health services, actual prevalence may be much greater [16]. A review of 94 studies from Asia, Europe and North America revealed that the weighted mean of lifetime prevalence of any eating disorder was 8.4% for women and 2.2% for men [17].

Whilst females still represent the largest proportion of cases, the greatest increase is amongst males, athletes, those with obesity, and sexual and gender minorities [1821]. Most eating disorders begin in adolescence but tend to persist throughout adulthood [22]. Therefore, young people constitute a subgroup of particular concern [13, 17].

Aetiology and risk factors.

The aetiology of eating disorders is complex; no single risk factor accounts for their manifestation [23]. Rather, prevalence is hypothesised to be the result of numerous biological, psychological, psychosocial, and behavioural factors [Table 2].

Body image, a multidimensional psychological construct encompassing how we think, feel and act towards our bodies—has been recognised as the most salient and consistent predictor of eating disorder symptomatology [9, 25, 26]. Although grounded in physical appearance, body image is rarely synonymous with it—individuals often view themselves through a lens of dysmorphia, seeing fatness, ugliness, or an endless list of flaws. The need to ‘fix’ what is ‘faulty’ is thought to precede compensatory disordered eating and appearance altering behaviours [27]. Owing to pubertal weight gain, wavering self-esteem, and a strong desire to fit in, body image concerns often begin in adolescence [28].

The rise of social media

With increasing eating disorder prevalence, attention has turned to the growth of social media. In 2020, social media reached 49% of the global population [29]. Platforms including Facebook (FB), YouTube (YT), Snapchat (SC), Instagram (IG), WeChat and TikTok have created a new online world for today’s youth. Recent reports reveal that 91% of UK and US adolescents use social media, with over 50% checking these at least once per hour [30]. Users can choose who to follow or message, what content to engage with or upload, what to highlight or conceal. Using filters and editing tools, individuals can alter their identities and dictate how they and their lives are perceived by others [20].

What is posted and well-received is not coincidental–it is dynamic, shaped by broader social and cultural ideals related to beauty [31]. Online, young people are exposed to the ever-changing societal ideals of the ‘desired body’, with perfection as the often-unattainable end goal [9].

Rationale for review

Body image dissatisfaction and eating disorder pathology amongst young people is rising. According to a recent UK Government report, 95% of under 18’s report that they would change their appearance, and body image was one of the top three anxieties amongst Australian youths [32, 33]. An estimated 13% of young people experience an eating disorder by the age of 20, and 15–47% endorse disordered eating cognitions and behaviours [23]. Exploratory evidence indicates that social media usage may be partly to blame [34, 35].

Research has highlighted factors such as the ease of accessing harmful eating disorder-promoting content, the pervasiveness of personalised ‘for you page’ algorithms and the explosion of weight loss trends that inspire extreme fitness or thinness [20, 36, 37].

In parallel, recent publications have drawn attention to rising concerns of modern social media platforms and public health, and the need to understand app engagement amongst younger demographics [38].

Despite this, the association between social media, body image and eating disorders remains relatively unexplored. However, with 41.9 million neglected cases of eating disorders in 2019, combined with unprecedented social media exposure amongst young people, this issue warrants further review from a global health perspective. Is social media a plausible risk factor for the development of body image concerns and recent rise in eating disorders? If so, is it a global or western phenomenon?

Research aim and objectives

Our review aims to systematically map out and critically review the existing global literature on the relationship between social media, body image and eating disorders amongst young people. We provide a glossary of key terms to aid global health audiences unfamiliar with terminology related to social media, body image and eating disorders [Table 3].

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Table 3. Glossary of terms associated with social media, body image and eating disorders.

https://doi.org/10.1371/journal.pgph.0001091.t003

In this review, we assess whether social media use could be a plausible and significant risk factor for the development of subclinical and clinical eating disorders on a global scale. We identify populations of young people affected, primary outcomes and any moderating or risk enhancing factors. We also explore pathways that may mediate the relationship between body image concerns and eating disorders/disordered eating behaviours within distinct social media platforms. Finally, we highlight gaps in the literature and recommend areas of focus for future research and for global health.

Methodology

We used Arksey and O’Malley’s framework and the updated PRISMA checklist for scoping reviews [39, 40] to guide our approach.

Search strategy and study selection

We searched MEDLINE, PyscINFO and Web of Science databases in May 2021 and updated our search on 20th July 2021. We identified appropriate search terms through preliminary reading and listing relevant Medical Subject Headings. Keywords were related to four principal concepts: social media, body image, eating disorders and young people [Table 4]. We entered keywords manually and used the “*” symbol to capture all potential word-endings. A full search strategy for PsycINFO is in S1 Fig.

We exported search results from each database to the reference manager Zotero. First, we removed duplicates. Next, we screened titles and abstracts and eliminated irrelevant papers. Subsequently, we assessed full-text articles against predetermined eligibility criteria, and recorded reasons for exclusion [Table 5]. We identified additional studies through hand searching reference lists. Both authors independently screened titles and abstracts and reviewed full-text articles for inclusion. One reviewer carried out data extraction from all included studies, and the other reviewer independently verified that all entered information was correct. Any discrepancies were resolved by enlisting the help of additional reviewers who were not part of the study but had the relevant background in global health and nutrition.

To allow for sufficient depth of analysis and documentation of individual differences, we included studies involving young people (defined by the WHO as individuals aged 10–24 years), irrespective of gender, sexuality, ethnicity, or existing eating disorder status. If papers did not indicate the age range of participants, we included them if the reported mean age was ≤ 24. Our review was not restricted by geographic location or country income grouping, as a deliberate measure to develop a global understanding of social media use and body image or eating disorder, without making assumptions about the existence or nature of the phenomenon in countries categorised as low- or middle-income. We included studies on any social media platform (singular, multiple, or general), but not those focusing on mass media and / or internet use. We excluded studies exploring social media interventions and body image / disordered eating outcomes because they were beyond the scope of our review. Papers published between January 2016 and July 2021 were eligible.

Data extraction, charting and critical appraisal

Data charting process.

We used a data extraction table to synthesise relevant information from each study, starting with study type, country, and World Bank Income classification [41]. We also recorded number of participants, gender (percentage female), age range (mean and standard deviation), sexual orientation and ethnicity. After testing the extraction framework on a small number of included articles, BMI and eating disorder prevalence were added as additional participant characteristics.

We extracted information on study objectives, social media platform(s), underlying theoretical framework (stated or indicated) and definitions of exposure (social media usage), outcome (body image or eating disorder / disordered eating), mediator or moderator variables.

Critical appraisal.

Formal critical appraisal is not a requirement of scoping reviews [42]. However, we aimed to analyse the relationship between social media, body image and eating disorder pathology and the plausibility of social media as a risk factor for clinical / subclinical eating disorders to guide future global health research and policy, and thus felt that a rigorous understanding of the quality of evidence was necessary.

We used three validated critical appraisal tools to account for study design, including: (i) the Joanna Briggs Institute (JBI) checklist for analytical cross-sectional studies for cross-sectional, ecological momentary assessment, mixed methods, and longitudinal observational studies; (ii) an adapted version of the JBI tool for quasi-experimental studies for experimental and mixed methods experimental studies; and (iii) the Critical Appraisal Skills Checklist (CASP) for qualitative studies.

We gave studies one point for every checklist item fully met, and half a point when the item was partially met, and then calculated the proportion of checklist items met by each study. We categorised study quality as High (≥ 75% checklist covered), Moderate (50%-74% checklist covered), and Low (<50% checklist covered).

Theoretical framework

Our review and appraisal of the evidence was informed by Rodgers’ 2016 integrated theoretical framework [43] on the influence of internet use on body image concerns and disordered eating pathology. Interactions with others as well as individual online behaviours are important pathways linking internet use to body image and eating pathology, and a hypothesised feedback loop between the two reinforces the addictive nature of social media and sustained motivations for use despite potentially adverse outcomes. Whilst previous frameworks have focused on singular theoretical perspectives that explain this relationship, Rodgers incorporates five theories to provide mechanistic insight, including (i) sociocultural theory, (ii) self-objectification and feminist theory, (iii) impression management involving self-discrepancy and true-self theories, (iv) social identity theory, and (v) gratification theory.

  1. Sociocultural Theory postulates that social agents (media, peers, and family) convey a strong need to conform to societal body ideals [44]. Comparisons to similar others online and the internalisation of the thin ideal may lead to binge eating disorder and compensatory disordered eating behaviours [45].
  2. Self-objectification and Feminist Theory hypothesises that in an appearance obsessed society, women are acculturated to internalise a third person perspective of themselves, leading to habitual body monitoring, dissatisfaction, and subsequent disordered eating behaviours [46]. Social media offers opportunity for posting self-images, which are then subject to scrutiny and feedback.
  3. Impression Management (self-discrepancy and true self theories) emphasises that individuals seek to control their identity in line with societal ideals [47]. On social media, individuals can curate a perfect online persona—their ‘ideal self’. The discrepancy between the ideal self and less perfect offline self is thought to induce body image concerns. Compensatory disordered eating behaviours may be employed to move closer to the online ideal.
  4. Social Identity Theory posits that individual identity is drawn from group membership with like-minded individuals. On social media, opportunities to be part of ‘in groups’ are endless, irrespective of physical proximity. Examples include weight loss groups, healthy eating and fitness communities, pro-eating disorder pages, and eating disorder recovery groups. Shared values of online communities may influence body image and eating behaviour via perceived consensus and ‘in group’ norms.
  5. Gratification’s Theory restores the agency of individuals in seeking out certain social media content in accordance with inherent personality traits, needs, and interests. Individual characteristics, heterogenous motivations for social media use and specific online behaviours may heighten vulnerability to subsequent body image concerns and disordered eating behaviours.

We used Rogers’ framework in our scoping review in two ways. First, we assessed whether each included article addressed any of the framework’s specific pathways and noted any underlying theoretical assumptions that were outside of Rogers’ model but could potentially extend it. Second, we evaluated included studies to understand how well the current scope of literature matches Rogers’ proposed view, and how we could extend and update the integrated model in light of emerging evidence on social media use, body image and disordered eating published since 2016.

Ethics

The review was based on previously published studies and therefore no ethical approval or participant consent was required.

Results

This section details the findings of our review, beginning with an overview of search results and study characteristics. We then summarise the main exposures, outcomes, mediators and moderators identified in the literature. We present our synthesis of the literature in a framework describing a self-perpetuating cycle of risk.

Study selection

We identified 273 articles from database searches, and after de-duplication, screening abstracts, reading full-texts, and hand-searching reference lists, we included 50 studies (45 quantitative and 5 qualitative) in our review (Fig 1) (See S1 Table for individual summaries of the 50 studies).

Study characteristics

Study design.

We reviewed 45 quantitative (30 cross-sectional, 6 experimental, 5 mixed methods, 2 ecological momentary assessment, and 2 longitudinal observational studies) and 5 qualitative studies. Qualitative studies collected data through focus group discussions (n = 4) and interviews (n = 1).

Study location.

Ninety percent of studies (n = 45) were conducted in high-income countries. The largest number of studies were conducted in Australia (n = 12) and the United States (n = 11). Canada, Italy, Singapore, and United Kingdom were included in three studies each, Spain and Ireland in two each, and Belgium, France, Germany and Sweden in one each. Studies conducted in Sri Lanka (n = 1), China (n = 2), Malaysia (n = 1) and Thailand (n = 1) comprised the evidence base on upper-middle-income and lower middle-income countries, and none included populations in low-income countries.

Participants.

48% of studies (n = 24) included only female participants, 2% of studies (n = 1) included male participants, and 50% (n = 25) included both genders. One study reported transgender participants, although this subcategory constituted only 9.3% of the study’s total sample [48].

Where ethnicity was reported, >75% of studies (n = 18) reported majority White participants, 17.4% (n = 4) reported majority Chinese participants, and <5% reported majority Hispanic participants.

Only 17 studies described participants’ BMI. Most participants (82%) were of a healthy BMI (18.5 to 25), with smaller proportions who met criteria for overweight (12%) and underweight (6%) BMI categories. Four studies (8%) identified participants with an existing eating disorder.

Most studies recruited participants from university (n = 20) and secondary schools (n = 19), with fewer studies using online (n = 6), community (n = 4) and clinical (n = 1) settings to recruit young people.

Underlying theoretical frameworks.

Most studies borrowed ideas from multiple theories. 78% of papers referred to Sociocultural Theory, with an emphasis on social comparison. 26% referred to Gratification’s Theory, 24% reported Self-objectification and Feminist Theory, 24% highlighted Impression Management Theory, and 12% of studies mentioned Social Identity Theory. We identified seven theories outside of Rodgers’ framework [S2 Table].

Social media platforms assessed.

Twelve studies assessed general social media usage, 18 indicated multiple platforms, and nine focused on appearance orientated sites only (Facebook, Instagram, Snapchat, YouTube). Where specified, most studies investigated Instagram (n = 15), followed by Facebook (n = 5) and WeChat (n = 1).

Motivation for social media usage.

Across studies, reasons for social media usage included: identity management, fitting in with friends, posting content for peer feedback, and seeking out weight loss, fitness, or pro-eating disorder material.

Quality appraisal.

Many quantitative studies (n = 28) were of moderate quality. Generally, unfulfilled criteria included failure to address confounding variables, and lack of control group in experimental conditions. Most qualitative studies (n = 4) comprised high-quality evidence (>75% checklist met), although they did not always consider ethical issues or the positionality of the researcher [S3S5 Tables].

Relationships between social media, body image and eating disorders

The overarching relationship between social media use, body image and eating disorders operates through a range of mechanisms. Typically, social media usage led to body image concerns, eating disorder or disordered eating outcomes, and poor mental health via the mediating pathways of social comparison, thin / fit ideal internalisation, and self-objectification.

Exposures

Specific social media usage.

Approximately 58% of studies (n = 29) investigated specific types of social media exposure, including time, frequency, use of appearance-focused platforms, and investment in appearance related activity [Table A in S1 Data].

Time.

Seven studies investigated the relationship between time spent on social media and body image or eating disorder-related outcomes. Time was significantly associated with these variables in two studies, although both papers failed to acknowledge other social media activities and possible mediators [49, 50]. Three cross-sectional studies discovered that time spent on social media was associated with body image dissatisfaction via the mediating pathways of social comparison and thin ideal internalisation [5153], indicating that the relationship between exposure and outcome is more nuanced than the mere number of hours spent online.

Frequency.

High frequency of social media usage and body image dissatisfaction was supported by two studies [54, 55].

Appearance focused social media platforms.

Three cross sectional studies indicated that appearance focused platforms, namely Instagram and Snapchat, are significantly associated with body image concerns, eating disorder pathology, anxiety and depressive symptoms [51, 56, 57].

Investment in appearance related activities.

17 studies identified that investment in appearance related activities (‘selfie’ avoidance, manipulation and posting edited photos, and significantly investing in ‘likes’ and ‘comments’) may be noteworthy exposures. These activities were consistently associated with body image dissatisfaction and risk of eating disorder pathology across a range of cross-sectional, experimental, and qualitative study designs (n = 14).

There were anomalies to this trend (n = 3). First, two studies found that posting ‘selfies’ on Instagram led to higher body esteem, rather than body image dissatisfaction [58, 59]. However, included participants may have had significantly higher pre-existing body esteem, rather than this emerging as a consequence of posting.

Social media trends.

Two prominent hashtags featured in the literature, drawing on the idea of social media as a source of inspiration or aspiration towards greater fitness (#Fitspiration) and thinness (#Thinspiration) ([Table B in S1 Data]).

#Fitspiration. Eight studies investigated the impact of the fitspiration trend on body image dissatisfaction and eating disorder pathology with mixed results: 50% supported the relationship, 25% partly supported it, and 25% refuted it. Three moderate- to high- quality experimental studies demonstrated that exposure to fitspiration imagery relative to control images resulted in body image dissatisfaction and negative mood for participants, pointing towards a causal relationship [6062]. Qualitative insight highlighted that for some, fitspiration inspired healthy eating and exercise. Others felt extreme pressure to ‘eat clean’ or exercise to excess, with subsequent bingeing and disordered eating outcomes [63, 64]. A mixed methods study of fitspiration followers on Instagram found that 17.7% were at risk of developing an eating disorder, 17.4% demonstrated high levels of psychological distress, and 10.3% displayed addictive levels of physical exercise [65].

#Thinspiration and pro-eating disorder content. Three studies explored the relationship of the #thinspiration trend with body image and eating disorders. A mixed methods study concluded that the hashtag glorified “emaciated people” and “bone-thin girls”, promoting starvation as a lifestyle choice instead of a symptom of mental illness. Posts provided individuals with tips on how to lose weight and hide an eating disorder [48]. A cross-sectional study found that 96% of included participants followed the thin-ideal on social media, of whom 86% met the criteria for a clinical/subclinical eating disorder, and 71% and 65% reported symptoms of depression and anxiety, respectively [66]. Whilst these statistics are alarming, the study relied on self-reported symptoms and used novel eating disorder diagnostic tools that had not been extensively validated.

Outcomes

Eating disorder pathology.

20 studies explored eating pathology as an outcome of social media usage [Table C in S1 Data].

Clinical/subclinical eating disorders.

Five cross-sectional studies yielded statistically significant associations between social media usage and various clinical eating disorders. These ranged from night eating syndrome [67], to binge eating disorder [68] and bulimia nervosa [69].

One cross-sectional and one qualitative study indicated orthorexia nervosa symptomatology amongst participants, ranging from obsessions with ‘clean eating’ to avoidance of ‘demonised’ foods and compulsive exercise behaviours [64, 70]. A study of 713 participants confirmed orthorexia nervosa prevalence of 49% [70], far greater than the estimated <1% in the general UK population. However, participants were recruited from ‘fitness’ Instagram pages, and thus unlikely to be representative of all social media users or the general population.

Disordered eating behaviours.

More commonly, 11 studies found statistically significant associations between social media usage and disordered eating behaviours, including bingeing, purging, use of laxatives and extreme dieting. One cross-sectional study found that 51.7% of adolescent girls and 45% of boys engaged in meal skipping and excessive exercise [57]. Although the sample size was large (n = 993), behaviours were self-reported and study quality was low.

Eating disorder maintenance or recovery.

Two studies explored the effect of social media on eating disorder maintenance or recovery. A mixed-methods study found that only 3% of 499 participants with clinical/subclinical eating disorders used social media to aid recovery or as a form of treatment. The remaining 97% indicated that it hampered recovery, one stating that “when I get really hungry, I go into these sites to get motivation to not eat for a bit longer” [48].

Body image concerns.

33 studies demonstrated significant associations between social media usage and body image dissatisfaction, including body shame, low self-esteem and body related anxiety [Table D in S1 Data]. Of these, five hypothesised that body image dissatisfaction preceded subsequent eating disorder pathology [50, 71].

Mental health.

Although not the primary focus of the research, nine studies revealed significant associations between social media usage, body image concerns or disordered eating pathology, and poor mental health [Table E in S1 Data]. Outcomes included low mood (n = 4), anxiety and depressive symptoms (n = 5).

Mediators

We identified three key mediators [Table F in S1 Data].

Thin / fit ideal internalisation.

12 studies investigated thin / fit internalisation as a mediator between social media usage and body image or disordered eating outcomes. Eleven (92%) indicated that it is a plausible mediator, across cross sectional (n = 7), experimental (n = 1) and qualitative (n = 3) study designs. In a qualitative study, female participants (n = 27) in focus group discussions reported feeling pressure to adhere to an ever-changing ideal [72]. In qualitative interviews, a sample of Swedish adolescents reported feelings of alienation following failure to adhere to the ‘toned but not too muscular’ ideal, whilst focus groups with Irish adolescents revealed participants’ feelings of self-blame and disgust [64, 73].

Appearance comparisons.

21 studies explored the mediator of appearance comparisons on social media, with 19 (90%) reporting a significant relationship. Comparisons tended to be ‘upward’ and yielded feelings of inadequacy and self-loathing [53, 63, 68]. In contrast, an observational longitudinal study revealed that comparisons on Facebook did not predict body image dissatisfaction six months later [74]. However, Facebook use was marked as ‘outdated’ amongst younger participants (mean age in this study was 14.7 years) which could account for the non-significant finding.

Self-objectification.

Six studies recognised self-objectification as a significant mediator. Generally, participants reported self-criticism, picking out flaws in photos and purposively posting photos accentuating certain body parts [48, 51, 73].

Moderators

The relationship between social media and body image / disordered eating was inflected by several moderating factors, broadly categorised as biological [Table G in S1 Data], cognitive [Table H in S1 Data] and socio-environmental [Table I in S1 Data] characteristics.

Biological

Gender.

18 studies investigated gender as a moderator, 14 of which found significant differences between males and females. Generally, girls invested heavily in photos of themselves, endorsed the thin / fit ideal, made more comparisons with others, and engaged in higher levels of disordered eating pathology, specifically dieting and emotional eating [50, 57, 75]. In contrast, boys endorsed a more muscular ideal, with goals of functionality and fitness, rather than weight loss [76, 77].

Qualitative focus groups implied that social media and body image is perceived as a gendered subject, with boys feeling reluctant to admit adverse effects due to stigma or fear of emasculation [63]. As most studies implemented self-report tools, and over half comprised mixed gender participants, this may have distorted findings. Remaining studies (n = 4) found no difference between males and females. Discrepancy may be due to variance in the assessment tools utilised for body image or disordered eating outcomes and differential sex ratios and mean age of participants.

BMI.

Five studies investigated BMI as a moderator. Three indicated high BMI as strengthening the relationship between social media, body image dissatisfaction and eating disorder pathology. The two anomalies to this trend both included participants with abnormally low average BMIs [71, 78]. All studies relied upon self-reported BMI, thus increasing risk of measurement error and bias.

Cognitive

Pre-existing body image concerns.

Four studies indicated that inherent body image concerns (shame and low self-esteem) predicted certain social media behaviours and heightened susceptibility of eating disorder pathology. In contrast, body appreciation appeared to buffer against this effect [71], however, self-compassion was not a moderator [79].

Risk of eating disorder.

Five studies highlighted that high-risk individuals with elevated eating disorder scores or a pre-existing eating disorder are more inclined to seek out damaging content on social media (such as thinspiration or weight loss). They may be more susceptible to mediating factors (internalisation and comparison) and are thus at heightened risk of further clinical / subclinical eating disorders [78, 80, 81].

Socio-environmental factors

Social media literacy.

Three studies indicated low social media literacy amongst participants, including difficulty switching off from damaging posts and an inability to recognise edited versus unedited posts [63, 73, 82]. In contrast, focus groups with adolescent girls in the US showed that having studied social media in school, girls were critical of its artificiality, reported that they could appreciate others’ beauty without jealousy, were self-accepting and did not feel the need to seek compliments online. Some engaged in comparisons, although this did not appear to lead to body image dissatisfaction and eating disorder pathology [83].

A self-perpetuating cycle of risk?

Our synthesis indicates that certain social media exposures and individual risk factors can strengthen this relationship, whilst numerous moderators may weaken, or even disrupt it. This led us to extend Rodgers’ framework [43] in light of new research, referred to here as a ‘self-perpetuating cycle of risk’ [Fig 2].

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Fig 2. A self-perpetuating cycle of risk to show the relationship between social media usage, body image and eating disorder pathology.

https://doi.org/10.1371/journal.pgph.0001091.g002

Our findings indicate that specific features of social media usage (appearance focused platforms, investment in photos, and engagement with fitspiration and thinspiration trends) lead to body image concerns, disordered eating pathology and mental health outcomes. This relationship is shaped by the mediating pathways of thin / fit ideal internalisation, appearance comparisons, and self-objectification, which have been supported by additional meta-analyses [3, 84, 85].

However, due to the cross-sectional nature of most studies, it is impossible to identify the direction of causality: for example, do body image dissatisfaction and disordered eating occur because of social media usage, or do these pre-exist, encourage engagement in certain online activities, and result in unfavourable clinically significant outcomes?

Our revised framework recognises both possibilities. It is plausible that specific individual risk factors (particularly high BMI, poor body image and existing eating disorders) combined with differential motivations for social media use (identity formation, gratifications from peer feedback) encourage certain behaviours when users engage with social media (photo manipulation, searching for thinspiration and fitspiration content), strengthen the effects of mediators, and increase risk of poor body image, disordered eating, and mental health outcomes. This shifts away from the fatalistic notion that social media causes poor body image and eating disorders in all users. Instead, it suggests that certain individuals are simply more vulnerable to its deleterious effect.

This relationship is not linear. Results highlight that social media is highly addictive, and individuals use it despite negative outcomes [59]. In fact, to ‘fix’ their poor body image, users may be even more inclined to do so (e.g., manipulate photos to obtain more likes)—indicated by a hypothesised feedback loop. It is this which may trigger the self-perpetuating cycle of risk. However, this cycle can be broken. Several moderators, or buffers, that have the potential to disrupt it. Many studies showed that whilst individuals still internalised the ideal or compared themselves to others, high social media literacy and body appreciation prevented this from resulting in body image dissatisfaction, disordered pathology and poor mental health [71, 83].

Discussion

Our scoping review of 50 studies conducted in 17 countries found that social media usage is a plausible risk factor for the development of clinical / subclinical eating disorders across a range of country income groupings. We extended current thinking to describe how social media provides a platform of perfectionism, often embeds unhealthy ideals of disordered eating and fitness and can hamper recovery from eating disorders. We also identified mediators, moderators and important risk factors that shape this relationship and offer opportunities to intervene.

Taken as a whole, the literature underlines a complex, yet meaningful relationship between social media usage, body image concerns, and disordered eating pathology. While our review points to potentially large scale implications among the approximately 3.9 billion social media users worldwide, it is important to note that not every user has poor body image or an eating disorder [29]. This begs the question, what makes certain individuals more susceptible?

Significance for global health

Disturbingly high prevalence of body image dissatisfaction, disordered eating pathology and comorbid mental health outcomes were reported amongst young social media users in this review [57, 66, 70]. Given the sheer scale of social media reach (approximately 60% of the world’s young people), a large proportion of young people could be exposed to the self-perpetuating cycle of risk [29]. Significantly, findings were reflected amongst Asian samples, mirroring concerns regarding the explosion of eating disorders in Asia [86, 87] which has a population of 4.6 billion. Social media use as a risk factor for eating disorder pathology clearly warrants attention outside of high-income western countries [17].

Currently, up to 80% of eating disorder sufferers remain out of formal healthcare systems, with many presenting at late stages [66]. Denial, stigma, and fears that one’s disorder isn’t serious enough already hampers treatment seeking [14]. Today, young people are often immersed in a digital world where desires to change one’s body, excessive exercise and preoccupation with food appears normal [88]. How can young people identify that they have a problem, when their behaviours seem to be nothing out of the ordinary?

Eating disorders, clinical or subclinical, are serious psychiatric disorders with a range of comorbid health outcomes [28, 89]. Unfortunately, they are often misunderstood, omitted from nationally representative health surveys, and viewed as less important than other mental health disorders [12]. Reports of 41.9 million neglected eating disorder cases in 2019, combined with a surge in cases recorded by health systems and charities alike calls for a serious reconceptualisation of the disorder [36, 90].

This issue also sits within the wider arena of adolescent mental health. The WHO Global Strategy for Women’s, Children and Adolescent Health coupled with The Mental Health Action Plan 2013–2020 demonstrate that investment in young people and their mental health yields invaluable gains for society [91, 92]. Although eating disorders were recognised by The National Institute of Mental Health as a priority area for adolescents in 2007 with prevalence equalling that of bipolar and substance use disorders, they remain absent from these seminal reports and constitute a fraction of global mental health research [12, 93, 94].

Since 2007, the rise of social media has brought new challenges. Despite its dominance in the lives of Generation Z, we are only just beginning to learn about its impact [95, 96]. Of significance, The UK Royal Society for Public Health (RSPH) published a damning report on social media and mental health, whilst social media, body image and eating disorders have been recognised as emerging policy areas for the UK, Australian and US government alike [97100]. In 2020, The UK launched their Online Harms White Paper to promote a regulatory framework of online safety and stimulate innovative social media intervention to protect young users. Eating disorder risk, however, remains absent from many of these youth centred goals in the UK [101].

Despite this rising concern, regulation of social media remains weak, with significant gaps between ‘safety policies’ and the real-life experiences of users [80]. Age, anonymity, and the pervasiveness of algorithms play a key role in this. Although required that users must be at least 13 years of age, most popular social media platforms have no robust means of age authentication. Recent figures reveal that up to 42% of children under the minimum age have a social media profile [102]. Users of all ages can join under any email address and disguise their identity through use of aliases. Once online, access to content is generally unrestricted, whilst algorithms suggest personalised content based on prior user engagement. In April 2021 Instagram sparked headlines after ‘appetite suppressants’, ‘fasting’ and ‘weight loss’ was recommended to certain users based on their previous searches [103]. Although rectified, content that glorifies eating disorders remains highly accessible, with little promise of intervention. More critically, internal research by Facebook conducted in 2019 leaked to the media in September 2021 showed not only that 40% of Instagram users who reported that they felt unattractive said that dissatisfaction began while using the platform [104], but also suggests that Facebook knew about the app’s potential to harm teenage girls’ mental health [105].

Further to this, evidence suggests that social media literacy amongst the young is low, and clinical recognition of eating disorder symptomatology and online risk factors poor [106]. In parallel, social media has been described as more addictive than alcohol and cigarettes, body image dissatisfaction and eating disorder pathology are on the rise, and the mental health of today’s youth is declining [98]. In light of COVID-19 lockdowns and further shifts towards an online world, this issue demands greater global attention [55].

Recommendations and future research

As the topic is in its infancy, our recommendations for intervention and future research are generally exploratory.

Community level

Primarily, opportunity lies in raising awareness of social media and its possible connection to body image dissatisfaction and eating disorder symptomatology. In the UK, only 23% of young people learn about body image at school, although 78% believe that this would be useful [32]. Through investments in social media literacy [83], young people could learn to appreciate body diversity, navigate social media through a critical lens, and challenge the artificiality of the societal ideal of beauty. Open discussions between students, teachers, and parents could reduce the stigma associated with eating disorders and help young people to identify body image concerns and eating problems before they manifest as serious disorders. Preliminary research investigating social media literacy has shown promising outcomes [107].

Societal and health systems level

At a societal level, recognition of the issue within government and health systems is paramount. To optimise positive social media use, communication between these players and social media companies should be enabled. From this, policies to enhance age verification, minimise access to pro-eating disorder content and increase the health and safety of users could be developed [106]. Recently, the UK Government Equalities Office approached social media influencers and advertising companies to devise strategies to enhance body diversity online [97]. Results are yet to materialise, although there is evidence of an emerging online ‘body positivity’ movement [95, 108].

Within a clinical setting, appreciating eating disorders as serious mental health problems, screening patients presenting relevant symptomatology regardless of body size, and integrating social media as an additional factor within treatment plans could be advantageous [109]. At the global level, we recommend building health system capacity in low and middle-income countries in preparation for the potential future burden of eating disorders as a progressive strategy. However, based on funding, budget cuts, and the priority that other health issues currently take, the likelihood of this being implemented is unclear [110].

Study design

As discussed, the scope of evidence in this review is limited by the cross-sectional design adopted by most studies, the homogeneity of included participants, and limited geographic scope. Moving forward, researchers should consider conducting longitudinal studies with representative samples and cross-cultural comparisons covering all regions. This would provide greater clarity regarding the true directionality of the relationship, and grant insight into the impact of social media on young people across the life course. Likewise, ongoing qualitative studies with young people would aid understanding and provide rich data on a topic that is unique to this age group.

While our review describes certain risk factors, mediators and moderators in the extended framework, the nature of their role was not conclusive (including gender and personality traits). Future research would benefit from focusing on these to see whether they are as meaningful as current evidence suggests. The increase in eating disorder incidence among males and gender differences described by a small number of studies suggest that this particular moderator requires further investigation [111].

Next, previous research has highlighted that certain subcategories, including those with high BMI, athletes, and young people who identify as lesbian, gay, bisexual and transgender (LGBT) are more susceptible to body image dissatisfaction and eating disorders [112]. Study populations in this review tended to be White school or university students and did not reflect the intersectionality nor diversity of national populations. Thus, it would be beneficial to assess the relative impact of social media on eating disorders across these high-risk groups.

Finally, prior evidence suggests that media penetration and adoption of ‘western ideals’ increases the risk of eating disorder pathology [113]. Despite global scope, this review did not retrieve any studies from low-income countries. Therefore, this assumption requires further testing in these contexts. Future research should explore the relationship in low income, non-western cultures, which may be important as social media use rises globally.

Limitations of this review

First, due the cross-sectional nature of most included studies and generally ‘moderate’ quality, causation between social media usage and outcomes cannot be presumed. Likewise, with variance in tools used to assess mediators and outcomes, most of which were self-reported, measurement error and bias are possible.

Secondly, despite the reviews’ inclusive geographic scope, studies were concentrated within middle-high income countries in Europe, Asia, and Australasia. Although few cross-cultural differences emerged, scarcity of evidence from low-income countries means that generalisability is indicative rather than conclusive. Likewise, included samples were relatively homogenous. Most participants were of White ethnicity, average BMI, and female. Paucity of diverse evidence limits meaningful insight into any subcategories of particular risk.

Next, although the social media platforms covered in the literature were extensive, the digital landscape evolves rapidly. For example, TikTok (the most downloaded mobile application in 2020) is the focus of significant media concerns regarding body image yet is only mentioned by one study [55]. It may be that findings still fail to capture the most recent trends.

Conclusion

In the 21st century, social media use amongst a developmentally susceptible age category is unprecedented and largely unregulated. ‘Likes’ and comments can validate identity, the societal ideal of beauty appears ubiquitous, and most people (albeit enhanced and filtered) appear to be perfect. In pursuit of acceptance, popularity and validation, the common option is to follow suit–to manage one’s own online identity to meet the ideal marked by others, to manipulate and scrutinise ‘selfies’, and once posted, angst over the numbers of likes or comments received. However, despite one’s best efforts, this online change is rarely good enough. Through the lens of social media, someone else can always look better, skinnier, or prettier [73]. Likewise, pro-eating disorder content is rife, and the ‘healthy’ #fitspiration trend may be fuelling new waves of disturbed eating and exercise pathology. The outcome is a population of young people at risk of corroded body image, gaping discrepancies between their actual and ‘polished’ online selves, and an increased likelihood of engaging in compensatory disordered eating behaviours, as our review has shown.

In parallel, cases of eating disorders are escalating, with prevalence far exceeding what was previously thought. Although it is not possible to isolate one single cause, the plausible link between social media, body image dissatisfaction and eating disorders is alarming. Based on the scale of social media usage, this could impact the wellbeing of a significant proportion of the world’s young- particularly those who are already vulnerable. Where the body of evidence is so recent, and social media ever evolving, the ramifications of this are not yet fully clear.

However, with significant strides being made in the realm of global adolescent mental health, intervention is clearly possible. Through recognition, funding, research, and prioritisation, there is hope that this issue will receive more attention, and concern will translate into tangible action. Our goal should be to have a generation of young people who are body positive, who use social media in a progressive way, who eat food because it is a basic human need, and who do not measure self-worth by the circumference of their thighs. We must also aim for widespread education and early identification of at-risk individuals, so that eating disorder symptomatology can be challenged long before it presents at formal healthcare settings.

The burden of body image dissatisfaction and eating disorders as a global health issue has been ignored for too long. The rise of social media has reinforced the need to turn attention to the ‘Cinderella disease’ of mental health, which this scoping review has demonstrated as worthy of a place on the global public health agenda.

Supporting information

S1 Fig. Full search strategy carried out in PyschINFO.

https://doi.org/10.1371/journal.pgph.0001091.s001

(TIF)

S2 Table. Additional theories outside of Rodgers’ framework.

https://doi.org/10.1371/journal.pgph.0001091.s003

(PDF)

S3 Table. The Joanna Briggs Institute (JBI) checklist for analytical cross-sectional studies.

https://doi.org/10.1371/journal.pgph.0001091.s004

(PDF)

S4 Table. Adapted version of the Joanna Briggs Institute tool for quasi-experimental studies.

https://doi.org/10.1371/journal.pgph.0001091.s005

(PDF)

S5 Table. The Critical Appraisal Skills Checklist (CASP) utilised for qualitative studies.

https://doi.org/10.1371/journal.pgph.0001091.s006

(PDF)

S1 Data. Tables A to I.

Data categorisation tables for the synthesis of results.

https://doi.org/10.1371/journal.pgph.0001091.s007

(PDF)

Acknowledgments

We are grateful to Delan Devakumar for comments on an earlier draft of the manuscript.

References

  1. 1. Treasure J, Duarte TA, Schmidt U. Eating disorders. Lancet. 2020;395(10227):899–911. Epub 2020/03/17. pmid:32171414.
  2. 2. Santomauro DF, Melen S, Mitchison D, Vos T, Whiteford H, Ferrari AJ. The hidden burden of eating disorders: an extension of estimates from the Global Burden of Disease Study 2019. Lancet Psychiatry. 2021;8(4):320–8. Epub 2021/03/07. pmid:33675688; PubMed Central PMCID: PMC7973414.
  3. 3. Schaefer LM, Thompson JK. Self-objectification and disordered eating: A meta-analysis. Int J Eat Disord. 2018;51(6):483–502. pmid:29517805
  4. 4. Brooks SJ, Rask-Andersen M, Benedict C, Schiöth HB. A debate on current eating disorder diagnoses in light of neurobiological findings: is it time for a spectrum model? BMC Psychiatry. 2012;12:76. Epub 2012/07/10. pmid:22770364; PubMed Central PMCID: PMC3475111.
  5. 5. Beat Eating Disorders Organisation. Types of Eating Disorder 2020 [cited 2021 9 June]. Available from: https://www.beateatingdisorders.org.uk/types.
  6. 6. Strahler J, Hermann A, Walter B, Stark R. Orthorexia nervosa: A behavioral complex or a psychological condition? J Behav Addict. 2018;7(4):1143–56. Epub 2018/12/18. pmid:30556782; PubMed Central PMCID: PMC6376377.
  7. 7. Wu J, Liu J, Li S, Ma H, Wang Y. Trends in the prevalence and disability-adjusted life years of eating disorders from 1990 to 2017: results from the Global Burden of Disease Study 2017. Epidemiol Psychiatr Sci. 2020;29:e191. Epub 2020/12/08. pmid:33283690; PubMed Central PMCID: PMC7737181.
  8. 8. Keski-Rahkonen A, Mustelin L. Epidemiology of eating disorders in Europe: prevalence, incidence, comorbidity, course, consequences, and risk factors. Curr Opin Psychiatry. 2016;29(6):340–5. Epub 2016/09/24. pmid:27662598.
  9. 9. Voelker DK, Reel JJ, Greenleaf C. Weight status and body image perceptions in adolescents: current perspectives. Adolesc Health Med Ther. 2015;6:149–58. Epub 2015/09/09. pmid:26347007; PubMed Central PMCID: PMC4554432.
  10. 10. Grabe S, Ward LM, Hyde JS. The role of the media in body image concerns among women: a meta-analysis of experimental and correlational studies. Psychol Bull. 2008;134(3):460–76. Epub 2008/05/01. pmid:18444705.
  11. 11. van Hoeken D, Hoek HW. Review of the burden of eating disorders: mortality, disability, costs, quality of life, and family burden. Curr Opin Psychiatry. 2020;33(6):521–7. Epub 2020/08/17. pmid:32796186; PubMed Central PMCID: PMC7575017.
  12. 12. Solmi F, Bould H, Lloyd EC, Lewis G. The shrouded visibility of eating disorders research. The Lancet Psychiatry. 2021;8(2):91–2. pmid:33227239
  13. 13. Keel PK, Forney KJ. Psychosocial risk factors for eating disorders. Int J Eat Disord. 2013;46(5):433–9. Epub 2013/05/10. pmid:23658086.
  14. 14. Mitchison D, Mond J. Epidemiology of eating disorders, eating disordered behaviour, and body image disturbance in males: a narrative review. J Eat Disord. 2015;3:20. pmid:27408719
  15. 15. Pike KM, Hoek HW, Dunne PE. Cultural trends and eating disorders. Curr Opin Psychiatry. 2014;27(6):436–42. Epub 2014/09/12. pmid:25211499.
  16. 16. NICE. Eating disorders 2019 [cited 2021 9 August]. Available from: https://cks.nice.org.uk/topics/eating-disorders/background-information/prevalence/.
  17. 17. Galmiche M, Déchelotte P, Lambert G, Tavolacci MP. Prevalence of eating disorders over the 2000–2018 period: a systematic literature review. The American Journal of Clinical Nutrition. 2019;109(5):1402–13. pmid:31051507
  18. 18. Anderson-Fye E, McClure S, Wilson R. Cultural Similarities and Differences in Eating Disorders. The Wiley Handbook of Eating Disorders2015. p. 297–311.
  19. 19. Goldhammer HB, Maston ED, Keuroghlian AS. Addressing Eating Disorders and Body Dissatisfaction in Sexual and Gender Minority Youth. Am J Prev Med. 2019;56(2):318–22. Epub 2018/12/18. pmid:30554976.
  20. 20. Perloff RM. Social Media Effects on Young Women’s Body Image Concerns: Theoretical Perspectives and an Agenda for Research. Sex Roles. 2014;71(11):363–77.
  21. 21. Star A, Hay P, Quirk F, Mond J. Perceived discrimination and favourable regard toward underweight, normal weight and obese eating disorder sufferers: implications for obesity and eating disorder population health campaigns. BMC Obes. 2015;2:4. Epub 2015/07/29. pmid:26217519; PubMed Central PMCID: PMC4511013.
  22. 22. Micali N, Solmi F, Horton NJ, Crosby RD, Eddy KT, Calzo JP, et al. Adolescent Eating Disorders Predict Psychiatric, High-Risk Behaviors and Weight Outcomes in Young Adulthood. J Am Acad Child Adolesc Psychiatry. 2015;54(8):652–9.e1. Epub 2015/07/27. pmid:26210334; PubMed Central PMCID: PMC4515576.
  23. 23. Culbert KM, Racine SE, Klump KL. Research Review: What we have learned about the causes of eating disorders—a synthesis of sociocultural, psychological, and biological research. J Child Psychol Psychiatry. 2015;56(11):1141–64. Epub 2015/06/23. pmid:26095891.
  24. 24. Massey-Stokes M. Body Image and Eating Disturbances in Children and Adolescents. In: Robert-McComb JJ, Norman R, Zumwalt M, editors. The Active Female: Health Issues Throughout The Lifespan. Totowa, NJ: Humana Press; 2008. p. 57–79.
  25. 25. Loth KA, MacLehose R, Bucchianeri M, Crow S, Neumark-Sztainer D. Predictors of dieting and disordered eating behaviors from adolescence to young adulthood. J Adolesc Health. 2014;55(5):705–12. Epub 2014/06/14. pmid:24925491; PubMed Central PMCID: PMC4380744.
  26. 26. Mental Health Foundation. Body image report—Executive Summary 2019 [cited 2021 11 June]. Available from: https://www.mentalhealth.org.uk/publications/body-imagereport/exec-summary.
  27. 27. Kearney-Cooke A, Tieger D. Body Image Disturbance and the Development of Eating Disorders. The Wiley Handbook of Eating Disorders 2015. p. 283–96.
  28. 28. Jackson T, Chen H. Risk factors for disordered eating during early and middle adolescence: a two year longitudinal study of mainland Chinese boys and girls. J Abnorm Child Psychol. 2014;42(5):791–802. pmid:24221725
  29. 29. Tankovska H. Social Media 2021. Available from: https://www.statista.com/topics/1164/social-networks/.
  30. 30. Common Sense Media. Social media, social life- teens reveal their experiences. 2018 [cited 2021 11 June]. Available from: https://www.commonsensemedia.org/sites/default/files/uploads/research/2018_cs_socialmediasociallife_fullreport-final-release_2_lowres.pdf.
  31. 31. Jong ST, Drummond MJN. Hurry up and ‘like’ me: immediate feedback on social networking sites and the impact on adolescent girls. Asia-Pacific Journal of Health, Sport and Physical Education. 2016;7(3):251–67.
  32. 32. House of Commons. Changing the perfect picture: an inquiry into body image. London: UK Parliament; 2020 [cited 2021 1 June]. Available from: https://committees.parliament.uk/publications/5357/documents/53751/default/.
  33. 33. Tiller E, Fildes J, Hall S, Hicking V, Greenland N, Liyanarachchi D, et al. Youth survey report 2020. Mission Australia. 2021.
  34. 34. Holland G, Tiggemann M. A systematic review of the impact of the use of social networking sites on body image and disordered eating outcomes. Body Image. 2016;17:100–10. Epub 2016/03/21. pmid:26995158.
  35. 35. Talbot CV, Gavin J, van Steen T, Morey Y. A content analysis of thinspiration, fitspiration, and bonespiration imagery on social media. J Eat Disord. 2017;5:40. Epub 2017/10/13. pmid:29021900; PubMed Central PMCID: PMC5613385.
  36. 36. Crawford A. Instagram eating disorder content ’out of control’. BBC News [Internet]. 2019 [cited 2022 1 July]. Available from: https://www.bbc.com/news/uk-47637377.
  37. 37. Lantos E. TikTok: Fears videos may ‘trigger eating disorders’. BBC News [Internet]. 2020 [cited 2022 1 July]. Available from: https://www.bbc.com/news/uk-wales-52919914.
  38. 38. Zenone M, Ow N, Barbic S. TikTok and public health: a proposed research agenda. BMJ global health. 2021;6(11):e007648. pmid:34819326
  39. 39. Arksey H, O’Malley L. Scoping studies: towards a methodological framework. International Journal of Social Research Methodology. 2005;8(1):19–32.
  40. 40. Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Annals of Internal Medicine. 2018;169(7):467–73. pmid:30178033
  41. 41. The World Bank. World Development Indicators. The World by Income and Region Washington: The World Bank; 2022. Available from: https://datatopics.worldbank.org/world-development-indicators/the-world-by-income-and-region.html.
  42. 42. Munn Z, Peters MDJ, Stern C, Tufanaru C, McArthur A, Aromataris E. Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Medical Research Methodology. 2018;18(1):143. pmid:30453902
  43. 43. Rodgers RF. The Relationship Between Body Image Concerns, Eating Disorders and Internet Use, Part II: An Integrated Theoretical Model. Adolescent Res Rev. 2016;1(2):121–37.
  44. 44. Thompson JK, Heinberg LJ, Altabe M, Tantleff-Dunn S. Sociocultural theory: The media and society. In: Thompson JK, Heinberg LJ, Altabe M, Tantleff-Dunn S, editors. Exacting beauty: Theory, assessment, and treatment of body image disturbance. Washington, DC: American Psychological Association; 1999. p. 85–124.
  45. 45. Festinger L. A Theory of Social Comparison Processes. Human Relations. 1954;7(2):117–40.
  46. 46. Fredrickson BL, Roberts T-A. Objectification Theory: Toward Understanding Women’s Lived Experiences and Mental Health Risks. Psychology of Women Quarterly. 1997;21(2):173–206.
  47. 47. Higgins ET. Self-discrepancy: a theory relating self and affect. Psychol Rev. 1987;94(3):319–40. pmid:3615707
  48. 48. Cavazos-Rehg PA, Fitzsimmons-Craft EE, Krauss MJ, Anako N, Xu C, Kasson E, et al. Examining the self-reported advantages and disadvantages of socially networking about body image and eating disorders. Int J Eat Disord. 2020;53(6):852–63. pmid:32359127
  49. 49. Kaewpradub N, Kiatrungrit K, Hongsanguansri S, Pavasuthipaisit C. Association Among Internet Usage, Body Image and Eating Behaviors of Secondary School Students. Shanghai Arch Psychiatry. 2017;29(4):208–17. pmid:28955140
  50. 50. Murray M, Maras D, Goldfield GS. Excessive Time on Social Networking Sites and Disordered Eating Behaviors Among Undergraduate Students: Appearance and Weight Esteem as Mediating Pathways. Cyberpsychol Behav Soc Netw. 2016;19(12):709–15. pmid:27925798
  51. 51. Cohen R, Newton-John T, Slater A. The relationship between Facebook and Instagram appearance-focused activities and body image concerns in young women. Body Image. 2017;23:183–7. pmid:29055773
  52. 52. Scully M, Swords L, Nixon E. Social comparisons on social media: online appearance-related activity and body dissatisfaction in adolescent girls. Ir J Psychol Med. 2020:1–12. pmid:32912367
  53. 53. Yang H, Wang JJ, Tng GYQ, Yang S. Effects of social media and smartphone use on body esteem in female adolescents: Testing a cognitive and affective model. Children. 2020;7(9). pmid:32967376
  54. 54. Bennett BL, Whisenhunt BL, Hudson DL, Wagner AF, Latner JD, Stefano EC, et al. Examining the impact of social media on mood and body dissatisfaction using ecological momentary assessment. Journal of American College Health. 2020;68(5):502–8. pmid:30908131
  55. 55. Vall-Roqué H, Andrés A, Saldaña C. The impact of COVID-19 lockdown on social network sites use, body image disturbances and self-esteem among adolescent and young women. Prog Neuropsychopharmacol Biol Psychiatry. 2021;110:110293. pmid:33662532
  56. 56. Marengo D, Longobardi C, Fabris MA, Settanni M. Highly-visual social media and internalizing symptoms in adolescence: The mediating role of body image concerns. Computers in Human Behavior. 2018;82:63–9.
  57. 57. Wilksch SM, O’Shea A, Ho P, Byrne S, Wade TD. The relationship between social media use and disordered eating in young adolescents. Int J Eat Disord. 2020;53(1):96–106. pmid:31797420
  58. 58. Chang L, Li P, Loh RSM, Chua THH. A study of Singapore adolescent girls’ selfie practices, peer appearance comparisons, and body esteem on Instagram. Body Image. 2019;29:90–9. pmid:30884385
  59. 59. Limniou M, Mahoney C, Knox M. Is Fitspiration the Healthy Internet Trend It Claims to Be? A British Students’ Case Study. International Journal of Environmental Research and Public Health. 2021;18(4):1837. pmid:33668662
  60. 60. Dignard NAL, Jarry JL. The "Little Red Riding Hood effect:" Fitspiration is just as bad as thinspiration for women’s body satisfaction. Body Image. 2021;36:201–13. pmid:33360477
  61. 61. Prichard I, Kavanagh E, Mulgrew KE, Lim MSC, Tiggemann M. The effect of Instagram #fitspiration images on young women’s mood, body image, and exercise behaviour. Body Image. 2020;33:1–6. pmid:32062021
  62. 62. Tiggemann M, Anderberg I. Muscles and bare chests on Instagram: The effect of Influencers’ fashion and fitspiration images on men’s body image. Body Image. 2020;35:237–44. pmid:33157398
  63. 63. Easton S, Morton K, Tappy Z, Francis D, Dennison L. Young People’s Experiences of Viewing the Fitspiration Social Media Trend: Qualitative Study. Journal of Medical Internet Research. 2018;20(6):e219. pmid:29914859
  64. 64. Wiklund E, Jonsson E, Coe A-B, Wiklund M. ‘Strong is the new skinny’: navigating fitness hype among teenagers in northern Sweden. Sport, Education and Society. 2019;24(5):441–54.
  65. 65. Raggatt M, Wright CJC, Carrotte E, Jenkinson R, Mulgrew K, Prichard I, et al. "I aspire to look and feel healthy like the posts convey": engagement with fitness inspiration on social media and perceptions of its influence on health and wellbeing. BMC public health. 2018;18(1):1002. pmid:30097034
  66. 66. Fitzsimmons-Craft EE, Krauss MJ, Costello SJ, Floyd GM, Wilfley DE, Cavazos-Rehg PA. Adolescents and young adults engaged with pro-eating disorder social media: eating disorder and comorbid psychopathology, health care utilization, treatment barriers, and opinions on harnessing technology for treatment. Eating and weight disorders: EWD. 2020;25(6):1681–92. pmid:31679144
  67. 67. Lonergan AR, Bussey K, Fardouly J, Griffiths S, Murray SB, Hay P, et al. Protect me from my selfie: Examining the association between photo-based social media behaviors and self-reported eating disorders in adolescence. Int J Eat Disord. 2020;53(5):485–96. pmid:32259344
  68. 68. Saunders JF, Eaton AA. Snaps, Selfies, and Shares: How Three Popular Social Media Platforms Contribute to the Sociocultural Model of Disordered Eating Among Young Women. Cyberpsychol Behav Soc Netw. 2018;21(6):343–54. pmid:29883209
  69. 69. Puccio F, Kalathas F, Fuller-Tyszkiewicz M, Krug I. A revised examination of the dual pathway model for bulimic symptoms: The importance of social comparisons made on Facebook and sociotropy. Computers in Human Behavior. 2016;65:142–50.
  70. 70. Turner PG, Lefevre CE. Instagram use is linked to increased symptoms of orthorexia nervosa. Eating and Weight Disorders—Studies on Anorexia, Bulimia and Obesity. 2017;22(2):277–84. pmid:28251592
  71. 71. Yao L, Niu G, Sun X. Body Image Comparisons on Social Networking Sites and Chinese Female College Students’ Restrained Eating: The Roles of Body Shame, Body Appreciation, and Body Mass Index. Sex Roles. 2021;84(7):465–76.
  72. 72. Baker N, Ferszt G, Breines JG. A Qualitative Study Exploring Female College Students’ Instagram Use and Body Image. Cyberpsychol Behav Soc Netw. 2019;22(4):277–82. pmid:30855190
  73. 73. Mahon C, Hevey D. Processing Body Image on Social Media: Gender Differences in Adolescent Boys’ and Girls’ Agency and Active Coping. Frontiers in Psychology. 2021;12:626763. pmid:34093311
  74. 74. Rousseau A, Eggermont S, Frison E. The reciprocal and indirect relationships between passive Facebook use, comparison on Facebook, and adolescents’ body dissatisfaction. Computers in Human Behavior. 2017;73:336–44.
  75. 75. Gioia F, Griffiths MD, Boursier V. Adolescents’ Body Shame and Social Networking Sites: The Mediating Effect of Body Image Control in Photos. Sex Roles. 2020;83(11):773–85.
  76. 76. Jarman HK, Marques MD, McLean SA, Slater A, Paxton SJ. Social media, body satisfaction and well-being among adolescents: A mediation model of appearance-ideal internalization and comparison. Body Image. 2021;36:139–48. pmid:33285385
  77. 77. Rodgers RF, Slater A, Gordon CS, McLean SA, Jarman HK, Paxton SJ. A Biopsychosocial Model of Social Media Use and Body Image Concerns, Disordered Eating, and Muscle-Building Behaviors among Adolescent Girls and Boys. Journal of Youth and Adolescence. 2020;49(2):399–409. pmid:31907699
  78. 78. Jiotsa B, Naccache B, Duval M, Rocher B, Grall-Bronnec M. Social Media Use and Body Image Disorders: Association between Frequency of Comparing One’s Own Physical Appearance to That of People Being Followed on Social Media and Body Dissatisfaction and Drive for Thinness. International Journal of Environmental Research and Public Health. 2021;18(6):2880. pmid:33799804
  79. 79. Lonergan AR, Bussey K, Mond J, Brown O, Griffiths S, Murray SB, et al. Me, my selfie, and I: The relationship between editing and posting selfies and body dissatisfaction in men and women. Body Image. 2019;28:39–43. pmid:30572289
  80. 80. Tan T, Kuek A, Goh SE, Lee EL, Kwok V. Internet and smartphone application usage in eating disorders: A descriptive study in Singapore. Asian J Psychiatr. 2016;19:50–5. pmid:26957338
  81. 81. Verrastro V, Fontanesi L, Liga F, Cuzzocrea F, Gugliandolo MC. Fear the Instagram: beauty stereotypes, body image and Instagram use in a sample of male and female adolescents. Qwerty—Open and Interdisciplinary Journal of Technology, Culture and Education. 2020;15(1):31–49.
  82. 82. Kleemans M, Daalmans S, Carbaat I, Anschütz D. Picture Perfect: The Direct Effect of Manipulated Instagram Photos on Body Image in Adolescent Girls. Media Psychology. 2018;21(1):93–110.
  83. 83. Burnette CB, Kwitowski MA, Mazzeo SE. "I don’t need people to tell me I’m pretty on social media:" A qualitative study of social media and body image in early adolescent girls. Body Image. 2017;23:114–25. pmid:28965052
  84. 84. Mingoia J, Hutchinson AD, Wilson C, Gleaves DH. The Relationship between Social Networking Site Use and the Internalization of a Thin Ideal in Females: A Meta-Analytic Review. Frontiers in Psychology. 2017;8:1351. pmid:28824519
  85. 85. Myers TA, Crowther JH. Social comparison as a predictor of body dissatisfaction: A meta-analytic review. J Abnorm Psychol. 2009;118(4):683–98. pmid:19899839
  86. 86. Baminiwatta A, Herath NC, Chandradasa M. Cross-Sectional Study on the Association Between Social Media Use and Body Image Dissatisfaction Among Adolescents. Indian journal of pediatrics. 2021;88(5):499–500. pmid:33447933
  87. 87. Thomas JJ, Lee S, Becker AE. Updates in the epidemiology of eating disorders in Asia and the Pacific. Curr Opin Psychiatry. 2016;29(6):354–62. pmid:27648781
  88. 88. National Eating Disorders Association. Other Specified Feeding or Eating Disorder. 2017 [cited 2022 1 July]. Available from: https://www.nationaleatingdisorders.org/learn/by-eating-disorder/osfed.
  89. 89. Taylor BC. Weight and Shape Concern and Body Image as Risk Factors for Eating Disorders. In: Wade T, editor. Encyclopedia of Feeding and Eating Disorders. Singapore: Springer; 2016. p. 1–5.
  90. 90. Schmidt U, Adan R, Böhm I, Campbell IC, Dingemans A, Ehrlich S, et al. Eating disorders: the big issue. The Lancet Psychiatry. 2016;3(4):313–5. pmid:27063378
  91. 91. Patton GC, Sawyer SM, Santelli JS, Ross DA, Afifi R, Allen NB, et al. Our future: a Lancet commission on adolescent health and wellbeing. Lancet (London, England). 2016;387(10036):2423–78. pmid:27174304
  92. 92. World Health Organization. Adolescent Mental Health. WHO [Internet]. 2020 [cited 2021 9 June]. Available from: https://www.who.int/news-room/fact-sheets/detail/adolescent-mental-health.
  93. 93. Chavez M, Insel TR. Eating disorders: National Institute of Mental Health’s perspective. Am Psychol. 2007;62(3):159–66. pmid:17469895
  94. 94. Nicholls D, Becker A. Food for thought: bringing eating disorders out of the shadows. The British Journal of Psychiatry: The Journal of Mental Science. 2020;216(2):67–8. pmid:31347478
  95. 95. Marks RJ, De Foe A, Collett J. The pursuit of wellness: Social media, body image and eating disorders. Children and Youth Services Review. 2020;119:105659.
  96. 96. Valkenburg PM, Meier A, Beyens I. Social media use and its impact on adolescent mental health: An umbrella review of the evidence. Curr Opin Psychol. 2022;44:58–68. pmid:34563980
  97. 97. McCaffrey E. Government engaging with body image influencers crucial to challenging negative body image. Blog [Internet]. 2019 [cited 2022 1 July]. Available from: https://equalities.blog.gov.uk/2019/07/26/government-engaging-with-body-image-influencers-crucial-to-challenging-negative-body-image/.
  98. 98. Royal Society of Public Health. #StatusOfMind–Social media and young people’s mental health and wellbeing. 2017 [cited 2021 11 June]. Available from: https://www.rsph.org.uk/static/uploaded/d125b27c-0b62-41c5-a2c0155a8887cd01.pdf.
  99. 99. Victoria State Government. Body Image. 2020 [cited 2021 9 June]. Available from: https://www.betterhealth.vic.gov.au/health/healthyliving/body-imagewomen#contributors-of-negative-body-image.
  100. 100. US Department of Health and Human Services. Body Image. 2019 [cited 2021 11 June]. Available from: https://www.womenshealth.gov/mental-health/body-image-and-mental-health/body-image.
  101. 101. GOV.UK. Consultation Outcome: Online Harms White Paper. Department for Digital, Culture, Media & Sport [Internet]. 2020. Available from: https://www.gov.uk/government/consultations/online-harms-white-paper/online-harms-white-paper.
  102. 102. BBC News. Under-age social media use ’on the rise’, says Ofcom. BBC [Internet]. 2017 [cited 2022 1 July]. Available from: https://www.bbc.co.uk/news/technology-42153694.
  103. 103. Criddle C. Instagram fixes mistake promoting harmful diet content. BBC News [Internet]. 2021 1 July 2022]. Available from: https://www.bbc.co.uk/news/technology-56750088.
  104. 104. Milmo D, Skopeliti C. Teenage girls, body image and Instagram’s ‘perfect storm’. The Guardian [Internet]. 2021 [cited 2022 4 April]. Available from: https://www.theguardian.com/technology/2021/sep/18/teenage-girls-body-image-and-instagrams-perfect-storm.
  105. 105. Gayle D. Facebook aware of Instagram’s harmful effect on teenage girls, leak reveals. The Guardian [Internet]. 2021 1 July 2022]. Available from: https://www.theguardian.com/technology/2021/sep/14/facebook-aware-instagram-harmful-effect-teenage-girls-leak-reveals.
  106. 106. Lenza C. Eating Disorders in ‘Millennials’: Risk Factors and Treatment Strategies in the Digital Age. Clinical Social Work Journal. 2020;48(1):46–53.
  107. 107. McLean SA, Wertheim EH, Masters J, Paxton SJ. A pilot evaluation of a social media literacy intervention to reduce risk factors for eating disorders. Int J Eat Disord. 2017;50(7):847–51. pmid:28370321
  108. 108. Cohen R, Newton-John T, Slater A. The case for body positivity on social media: Perspectives on current advances and future directions. Journal of Health Psychology. 2021;26(13):2365–73. pmid:32191132
  109. 109. da Luz FQ, Hay P, Touyz S, Sainsbury A. Obesity with Comorbid Eating Disorders: Associated Health Risks and Treatment Approaches. Nutrients. 2018;10(7):E829. pmid:29954056
  110. 110. Johns G, Taylor B, John A, Tan J. Current eating disorder healthcare services—the perspectives and experiences of individuals with eating disorders, their families and health professionals: systematic review and thematic synthesis. BJPsych Open. 2019;5(4):e59. pmid:31530301
  111. 111. Nagata JM, Ganson KT, Murray SB. Eating disorders in adolescent boys and young men: an update. Curr Opin Pediatr. 2020;32(4):476–81. pmid:32520822
  112. 112. McClain Z, Peebles R. Body Image and Eating Disorders Among Lesbian, Gay, Bisexual, and Transgender Youth. Pediatr Clin North Am. 2016;63(6):1079–90. pmid:27865334
  113. 113. Becker AE, Burwell RA, Gilman SE, Herzog DB, Hamburg P. Eating behaviours and attitudes following prolonged exposure to television among ethnic Fijian adolescent girls. The British Journal of Psychiatry: The Journal of Mental Science. 2002;180:509–14. pmid:12042229