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Exploring the self-perceived causes of eating disorders among Chinese social media users with self-reported eating disorders

Abstract

Background

Even though robust evidence suggests the high prevalence of eating disorders (EDs) in China, EDs in China are characterized by low diagnosis rates, delayed treatment-seeking, and ineffective treatments. Given that listening to patients’ perspectives and lived experiences is crucial to improving our understanding of EDs in the Chinese context, an investigation of the perceived causes of EDs in Chinese individuals with EDs represents a key step in improving the prevention and treatment of EDs in China.

Aims

To explore the perceived causes of EDs based on data from a sample of Chinese social media users with self-reported EDs, with a particular focus on the Zhihu platform.

Methods

We extracted and analyzed data through content analysis. Eight specific causes that could be classified into two groups were coded, including individual factors (e.g., “body image and eating”) and sociocultural factors (e.g., “media and cultural ideals”).

Results

A total of 2079 entries regarding self-reported EDs were retained for content analysis (14.7% were anorexia nervosa, 37.6% were bulimia nervosa, and 47.7% were binge-eating disorder). More than 90% of users with self-reported EDs claimed causes belonging to individual factors, while 35–51% of users claimed sociocultural factors. “Body image and eating” (68–87%) and “psychological and emotional problems” (65–67%) were the most commonly claimed specific causes, while “traumatic life events” (13–14%), “genetics and biology” (7–13%), and “sports and health” (9–12%) were the least claimed. Chi-square independent tests showed that users with different self-reported EDs disproportionately claimed certain causes.

Conclusions

Using large-scale social media data, findings provide a deeper understanding of the perceived causes of EDs in the Chinese context from individuals with self-reported EDs and highlight the variations in perceived causes across different self-reported ED types.

Plain English Summary

We explored the perceived causes of eating disorders (EDs) by using big data from Chinese social media (i.e., Zhihu) users with three self-reported ED types (i.e., anorexia nervosa, bulimia nervosa, and binge-eating disorder). Results showed that more than 90% of users with self-reported EDs claimed causes belonging to individual factors, while 35–51% of users claimed sociocultural factors. Users with different types of self-reported EDs disproportionately claimed specific perceived causes of their EDs. Our findings underscore the variations in perceived causes across different self-reported ED types. The study also highlights the utility and significance of researching the etiology of EDs via big datasets in the context of the evolving digital environment.

Introduction

Eating disorders (EDs), such as anorexia nervosa (AN), bulimia nervosa (BN), and binge-eating disorder (BED), are serious mental illnesses that are related to an array of negative health consequences, including suicidality, mood disorders, impaired quality of life, and elevated mortality [1,2,3,4]. Ample research evidence suggests that EDs are highly prevalent and increasing in prevalence worldwide [5], including in China [6]. For example, a prevalence rate of 7.04% probable EDs was identified in Chinese girls and women aged 12–50 years [7].

However, EDs in China were characterized by low diagnosis rates, delayed treatment-seeking, and ineffective treatments [8]. A study based on Chinese participants who sought treatment and social support for EDs demonstrated that shame, a lack of recognition of EDs as an illness, and financial constraints were the primary reasons for not seeking treatment [9]. This study also emphasized the importance of enhancing our understanding of culturally specific manifestations of EDs [9]. Also, as argued by Jaiprahash and colleagues [10], it is important to incorporate patients’ subjective perspectives in the diagnosis and treatment of EDs. To date, several qualitative studies have used interview methods to investigate the subjective perspectives of patients with EDs in China, suggesting the importance of examining the culturally specific meanings and experiences of EDs (e.g., [11,12,13,14]). However, collecting data directly from patients via interviews typically involves a very small number of participants (e.g., [11,12,13,14]), which might lead to poor generalizability of the findings to the whole ED population in China. Also, even though data collected directly from participants via interviews or surveys are valuable, it is well-acknowledged that such data suffer from social desirability bias (i.e., participants tend to provide socially acceptable responses that might differ from their true feelings [15]) [16, 17]. Therefore, using the rich data from social media could be a valuable, alternative approach to studying those with lived experiences of EDs because these data can be used to assess human behaviors and experiences in a non-intrusive way, therefore decreasing social desirability bias and increasing ecological validity [18].

Furthermore, it is vital to investigate the perceived causes of individuals with EDs because those perceptions may significantly influence clinical management by shaping motivated cognitions and behaviors which, in turn, affects overall treatment response (e.g., psychological adjustment, psychosocial adaptation, adaptive strategies) [19,20,21,22,23]. Illness perception refers to an organized belief system about one’s illness condition and is a key determinant of direct behaviors related to illness management [21]. Different illness perceptions can contribute to different illness trajectories [20]. For example, research on chronic health conditions showed that perceptions of depression were related to patients’ help-seeking behaviors [24] and perceptions of obesity were associated with one’s health-related quality of life [23]. Moreover, researchers have suggested that listening to patients’ perspectives and lived experiences is crucial to improving our understanding of EDs in the Chinese context [9]. Indeed, studies showed that poor mental health literacy was associated with inappropriate treatment-seeking, higher stigmatizing attitudes, and less self-recognition of ED symptoms [25, 26]. Thus, understanding the perceived causes of EDs and integrating this knowledge into educational promotion programs, interventions, and treatment are important factors related to improved ED-related health literacy for patients with EDs and their healthcare team (e.g., psychiatrists and therapists [27]) in China.

Zhihu is a popular question-and-answer (Q&A) social media platform in China, well known for its in-depth answers to specific questions. Specifically, in the context of the present study for exploring perceived causes of EDs, Zhihu’s Q&A format allows users with EDs to provide detailed narratives about causes of EDs by directly answering related questions (e.g., a popular related question on Zhihu is “你们的厌食症都是怎么得的?” or How did you get anorexia nervosa?). Other popular social media platforms in China (e.g., Xiaohongshu) exist where users with EDs can also publish posts to share their experiences with EDs, but these posts might not focus on the perceived causes of their EDs. In this study, using the data from users of Zhihu, we drew upon the list of perceived causes of EDs summarized by Blodgett Salafia and colleagues [28] to explore the self-perceived causes of EDs in Chinese social media users with self-reported EDs. Specifically, Blodgett Salafia and colleagues [28] explicated two main factors—individual factors and sociocultural factors—for which eight specific subfactors were identified (e.g., traumatic life events, family problems, social problems, psychological and emotional problems, genetics and biology, media and cultural ideals, sports and health, and body image and eating; see Table 1). Given the exploratory nature of this study, we aimed to gain preliminary insights into how these perceived causes of EDs manifest in the Chinese context.

Table 1 The coding scheme of self-perceived causes of eating disorders based on Blodgett Salafia and colleagues (2015)

Methods

Data wrangling

The project was approved by the Institutional Review Board (Applied Psychology) of The Chinese University of Hong Kong, Shenzhen. Social media data from Zhihu were retrieved on March 29, 2023, via Zhihu’s Application Programming Interface (API) using Python version 3.10. Specifically, we first adopted the ED keywords based on Sun and colleagues (2020), including “厌食症” (anorexia), “神经性厌食症” (anorexia nervosa), “贪食症” (bulimia), “神经性贪食症” (bulimia nervosa), “暴食症” (binge-eating disorder), and “进食障碍” (eating disorders). Then, an iterative search was conducted until no new questions related to EDs emerged. Afterward, we screened these data and excluded questions that did not contain any of the keywords or were unlikely to include answers where users with EDs shared their self-perceived causes of their EDs. Following that, we retrieved all answers (N = 5199) to the relevant questions, and these data in the present study were used in subsequent manual coding.

Manual coding of posts from Chinese Zhihu users

Our fundamental framework for the content analysis was based on the coding list for the main causes and specific reasons for EDs, which were specified by Blodgett Salafia and colleagues [28]. We manually extracted relevant information by reading posts from Zhihu users, guided by the following four questions: 1) whether the user had self-reported eating disorders or not; 2) which types of the three eating disorders the user self-reported: AN, BN and/or BED; 3) what were the main causes, including individual and/or socio-cultural factors; and 4) what were the specific reasons? According to the framework [28], the specific reasons were identified as 1) traumatic life events, 2) family problems, 3) social problems, 4) psychological and emotional problems, 5) genetics and biology, 6) media and cultural ideals, 7) sports and health, and 8) body image and eating. The results of the posts were classified into none, one or multiple types of self-reported EDs, main factors of self-reported EDs, and specific reasons for self-reported EDs. Presented in Table 1 are samples of causes of self-reported EDs in each category for coders to classify each post into corresponding coding schemes. Extreme break-up events were included in the traumatic life events, based on the research team’s discussion.

The research team collaborated to conduct the content analysis. Specifically, each post was coded independently by two research assistants who were college students majoring in psychology. The research assistants were trained in differentiating EDs and coding social media posts under the guidance of an expert in EDs, social media research, and content analysis. Disagreements were resolved by discussions within the research team. Cohen’s Kappa, as an indicator of interrater reliability, ranged from 0.71 to 0.94, indicating an adequate to perfect agreement between the coders.

Data processing and cleaning

Of the 5199 initially extracted posts, after manual coding, 2098 posts/responses indicated that the users self-reported themselves as having EDs. However, 16 posts were further removed due to no detailed descriptions of their self-reported ED experiences, and three other posts were also removed because the users of the three posts indicated they had multiple types of self-reported EDs. In total, 2079 posts remained and were used in subsequent data analyses.

Data analyses

Statistical analyses were conducted via R 4.2.2. The Chi-square independence tests were used to analyze the relationships between self-reported ED types and sex, anonymity, and each self-perceived cause. Cramer’s V was used to assess the effect sizes in the Chi-square independence tests, with values of 0.10 denoting small, 0.30 denoting medium, and 0.50 denoting large effects [29]. The level of statistical significance was set at p < 0.05.

Results

Descriptions of frequencies of self-perceived causes across eating disorder types

Overall, of the 2079 Zhihu users, 14.72% self-reported AN, 37.61% self-reported BN, and 47.67% self-reported BED. As shown in Fig. 1 regarding the two main classifications of perceived causes (i.e., individual factors and social and cultural factors), a vast majority of users with self-reported EDs claimed causes belonging to individual factors (i.e., 92%, 95%, and 95%, respectively, for AN, BN, and BED). In contrast, the “social and cultural factors” were only claimed by 51% of users with self-reported AN, 45% of users with self-reported BN, and 35% of users with self-reported BED.

Fig. 1
figure 1

Bar graph of the self-perceived main causes of self-reported eating disorder types

Furthermore, according to Fig. 2, all three self-reported EDs showed similar patterns in the frequencies of specific causes. Specifically, as shown in Fig. 2, across all self-reported ED types, “body image and eating” (68%, 87%, and 75%, respectively, for AN, BN, and BED) and “psychological and emotional problems” (67%, 66%, and 65%, respectively, for AN, BN, and BED) were most commonly reported, followed by “social problems” (42%, 40%, and 36%), “family problems” (24%, 22%, and 20%), and “media & cultural ideals” (19%, 25%, and 19%), whereas all other three causes (i.e., “traumatic life events,” “genetics and biology,” and “sports and health”) were claimed by less than 20% of users with self-reported EDs.

Fig. 2
figure 2

Bar graph of the self-perceived specific causes of self-reported eating disorder types

Correlates of the types of self-reported eating disorders

As shown in Table 2, the Chi-square independence tests identified several significant correlates of self-reported ED types. Specifically, being anonymous or not was significantly related to self-reported ED types (AN, BN, or BED), with χ2(2, N = 2079) = 12.123 (p = 0.003; Cramer’s V = 0.07, 95% CI [0.02, 0.12], a small effect), suggesting that users who self-reported BN (63%) were more likely to go for anonymity on the social platform than users who self-reported AN (57%) and self-reported BED (56%).

Table 2 Chi-square independent tests for the associations of eating disorder types with demographic characteristics and self-perceived causes

For the correlates of perceived reasons, the social and cultural factors had a significant relationship with self-reported ED types, χ2(2, N = 2079) = 33.687 (p < 0.001; Cramer’s V = 0.13, 95% CI [0.07, 0.17], a small effect), with the proportion of users who self-reported AN (51%) and self-reported BN (45%) endorsed more social and cultural factors than users who self-reported BED (35%). Furthermore, media and cultural ideals (χ2(2, N = 2079) = 10.688, p = 0.005; Cramer’s V = 0.07, 95%CI [0.03, 0.11], a small effect), body image and eating (χ2(2, N = 2079) = 58.519, p < 0.001; Cramer’s V = 0.17 (95%CI [0.12, 0.21], a small effect), and genetics and biology (χ2(2, N = 2079) = 7.709, p = 0.021; Cramer’s V = 0.06 (95%CI [0.03, 0.10], a small effect) were also significantly related to self-reported ED types. Specifically, the proportions of users who self-reported BN (13%) and self-reported BED (12%) claimed genetic and biological causes more than those who self-reported AN (7%). Users who self-reported BN (25%) were more likely to claim media and cultural ideals as causes than were those who self-reported AN (19%) and self-reported BED (19%). Also, users who self-reported BN (87%) were more likely to claim “body image and eating” as causes than those who self-reported BED (75%) and self-reported AN (68%).

Discussion

To our knowledge, our study was the first to explore the perceived causes of EDs via large-scale social media data from Chinese social media users with self-reported EDs. In our study, data from Zhihu were analyzed to understand self-perceived causes of EDs among users. Based on Blodgett Salafia and colleagues [28], we manually coded 2079 posts, out of an initial 5199 posts, for specific causes for subsequent statistical analysis. Results showed that “psychological and emotional problems” and “body image and eating” were the two most commonly self-perceived causes. Chi-square independence tests revealed that individuals with self-reported AN reported more causes of “social and cultural factors” than those with self-reported BN and self-reported BED. Additionally, individuals with self-reported BN were more likely to claim causes of “media and cultural ideals” and “body image and eating” than those with self-reported AN and self-reported BED. The study highlighted the importance of investigating the self-perceived etiology of different EDs and demonstrated the value of social media data in identifying perceived risk factors among Chinese users with self-reported EDs.

Frequencies of self-perceived causes of eating disorders

In the current study, individual factors (e.g., “psychological and emotional problems” and “body image and eating”) were more likely to be identified as perceived causes than social and cultural factors (e.g., “social problems” and “media and cultural ideals”) across all self-reported EDs. This pattern aligns with the findings of research conducted by Blodgett Salafia and colleagues [28]. The sociocultural theories of body image and disordered eating (e.g., the tripartite influence model [30]) might shed light on potential explanations. Specifically, as proposed by the tripartite influence model [30], both social and cultural factors and individual factors serve as mechanisms of disordered eating. However, these two kinds of factors differ in order, with sociocultural factors (e.g., appearance pressures from peers, family, and media) being more distal than proximal individual factors (e.g., internalizing societal appearance standards, engaging in appearance comparison, and being dissatisfied with one’s own body). Similar findings have been reported in research on the attribution of obesity [31], with individual factors (e.g., less physical activity, over-eating, and comfort eating) being perceived as proximal causes of obesity and family problems being perceived as distal causes. Thus, users may be more likely to claim “closely” related, proximal causes to their EDs. Also, based on Weiner’s attribution theory [32], when individuals attempt to identify the causes behind their behaviors, they tend to consider the controllability of the behaviors (i.e., the extent to which the individual can influence them). Considering disordered eating behaviors are performed by individuals themselves, they may tend to perceive the behaviors as controllable, which may lead them to be more likely to attribute their EDs to internal factors (i.e., individual factors). Thus, our findings may disproportionately reflect individuals’ attribution bias, and it does not mean social and cultural factors are not as important as individual factors, especially considering that recent studies showed that social and cultural factors (e.g., appearance pressures from family, peers, significant others, and media) had strong and consistent direct links with eating disorder symptomatology in both Chinese men and women [33, 34].

Our study also lends evidence to the connections between both individual and social/cultural factors and self-reported ED types. Particularly, our results showed that users with self-reported BED were more likely to report individual factors; in contrast, users with self-reported AN or self-reported BN were more likely to report social and cultural factors. Unlike self-reported AN and BN, individuals with self-reported BED typically do not engage in compensatory behaviors (e.g., dieting, purging) but instead may use binge eating as a coping mechanism for stress and emotional distress related to body image pressures. Striegel-Moore and Bulik [35] claimed that individuals with AN and BN were vulnerable to environmental factors (i.e., sociocultural pressures to attain thin ideals). Indeed, a study involving Croatian high school girls supported that those with higher body mass index (BMI) who embraced social standards of thinness were more likely to perceive social pressures to be thin, often manifested through direct and persuasive comments emphasizing the importance of dieting, which might contribute to the development of AN or BN [36]. These findings speak to the complex interplay of individual and societal factors in the development of EDs and underscore the importance of addressing both in treatment and prevention strategies.

Notably, our findings regarding the most frequently self-perceived causes (e.g., “psychological and emotional problems,” “body image and eating,” and “media and cultural ideals”) of EDs align with those reported by empirical studies of patients with EDs in China, in which psychological distress, body image disturbances, and sociocultural changes were identified as key risk factors of EDs (e.g., [37,38,39]). However, although these empirical studies are valuable, the factors investigated in prior studies using clinical samples might not be comprehensive, and the generalizability of related findings might be questionable due to the small sample sizes (e.g., a few cases with EDs [39]). Thus, our study expands on prior literature in China by comprehensively investigating the self-perceived causes from a much larger and more diverse sample, findings that contribute to our understanding of the etiology of EDs and related health literacy of individuals with self-reported EDs in the Chinese context.

Frequency differences of self-perceived causes for all types of eating disorders

In our study, the causes of “psychological and emotional problems” and “body image and eating” were the two most frequently perceived causes. These findings were consistent with the well-documented literature that psychological and emotional problems (e.g., difficulties in emotion regulation and psychological distress) are core, transdiagnostic risk factors of EDs [28, 40,41,42,43]. Also, body image concerns (e.g., weight/shape dissatisfaction) and eating concerns (e.g., restrictive eating) are core risk factors and/or major manifestations of EDs [42, 44], including in Chinese adults [45]. Following the two most perceived causes are “social problems,” “family problems,” and “media and cultural ideals.” Based on the tripartite influence model [30], sociocultural factors are important sources contributing to the development of EDs. Indeed, empirical research conducted in China consistently suggests that socially promoted body ideals (e.g., thin ideal [46]) and related pressures are important risk factors of EDs [33, 34, 47].

Relationships between self-perceived causes and types of eating disorders

In our present study, interestingly, we found a statistically significant relationship between self-reported ED types and the preference for anonymity, especially users with BN being more likely to opt for anonymity compared to those with self-reported AN and self-reported BED. One potential explanation is that, unlike individuals with AN and BED who may show significant signs of appearance changes (e.g., becoming underweight or overweight) to be observed by others, individuals with BN often have less significant appearance changes (e.g., maintaining a relatively normal weight), which makes their symptoms less likely to be detected by others [48]. Also, individuals with BN might feel ashamed of their binge eating and compensatory behaviors, especially purging or self-induced vomitting, and do these secretly [49]. Thus, it might be preferred by individuals with BN to choose anonymity as compared to those with AN and BED.

Additionally, our study found that users with self-reported BN were more likely to claim “body image and eating” causes compared to those with self-reported AN or self-reported BED. Indeed, abundant research has uncovered differences in eating and body image disturbance among AN, BN, and BED (e.g., [50, 51]). For example, Lydecker and colleagues [50] reported that patients with AN and BN exhibited higher levels of preoccupation with both shape/weight and food/eating than those with BED. Therefore, it is crucial to refine and differentiate the specific eating and body image disturbances across various EDs in the future to enhance the diagnosis of different ED types and tailor case conceptualization and treatment planning more effectively.

In addition to “body image and eating,” the frequencies of “media and cultural ideals” were also significantly different across self-reported ED types, with self-reported BN being the highest. The empirical literature has demonstrated that media use (e.g., social media use), as well as body ideals (e.g., thin ideals), are associated with body image concerns and eating disturbance among Chinese samples (e.g., [52,53,54]). However, to our knowledge, limited research evidence is available on how media and cultural ideals may contribute differently to developing various types of EDs. Thus, our finding of individuals with self-reported BN endorsing more perceived influence from media and cultural ideals may suggest a stronger connection between media and cultural ideals and BN compared to that between media/cultural ideals and AN/BED. Thus, media-based interventions for EDs might be more effective for Chinese individuals with BN. However, this postulation should be examined in future studies with validated samples of EDs.

Notably, the rates of self-perceived “genetics and biology” causes varied significantly across different self-reported ED types as well, with self-reported AN having a lower rate compared to self-reported BN and self-reported BED. Studies involving twins and families have provided compelling evidence regarding the heritability of various ED types and have linked specific genes and their variants to these EDs (e.g., [55,56,57]). For instance, genetic factors are responsible for approximately 33–84% of AN cases, 28–83% of BN cases, and 41–57% of BED cases [57]. Thus, one plausible explanation is that different from BN and BED, AN does not involve binge eating or loss of control eating, which are closely related to obesity [58]. Given that Chinese media frequently identifies genes as a risk factor for obesity [59], individuals exposed to Chinese media may be more likely to perceive BN and BED, as opposed to AN, as more influenced by genes and one's biological profile.

Clinical implications

The findings of the present study have clinical implications. First, the perceived differences in causes across different self-reported EDs shed light on ED intervention and treatment in the Chinese context. Specifically, findings from the present study may be relevant to the early stages of clinical intervention of EDs in which patients and providers discuss, through psychoeducation, the reasons/causes of EDs. Some patients may arrive in the clinic with ideas of what causes their EDs (e.g., individual factors), as identified by this study, and others may underestimate other relevant factors (e.g., biological/genetic factors). Providers may target such gaps to enrich patients’ understanding of their EDs and support the development of a comprehensive treatment plan. Recognizing these differences may allow for more effective and personalized strategies in the treatment and prevention of different EDs.

Furthermore, given China’s large population base, this study underscored the importance of prioritizing initial screening, detection, and prediction of EDs for further prevention and intervention. The findings draw attention to developing more effective approaches to address the rising concerns of EDs in the general population and could help inform public health strategies and healthcare policies. Indeed, findings from this study also have implications for educating lay people in China, including caregivers, about EDs to increase their literacy of the numerous and complex etiological factors of EDs. This is important considering that many Chinese people suffering from EDs and their caregivers may have low literacy of EDs, including etiological factors [9].

Limitations and future research directions

This study has limitations that should be acknowledged. First, our sample was a relatively homogeneous group in terms of sex, which may impact the generalizability of our findings. Our study did not find a statistically significant relationship between sex and self-reported ED types; the lack of significance in sex differences might be attributed to missing sex information during data wrangling, which resulted in a relatively small sample size of males. However, ample research evidence has suggested that sex differences were observed in the prevalence of ED symptoms (e.g., [60, 61]). Therefore, future research should consider the sex-balanced sampling of participants, as well as additional social identities (i.e., gender identity, ethnicity, socioeconomic status, and sexual orientation [62, 63]). This expansion would enable a better understanding of the impact of sex and other demographic factors on self-perceived ED etiology, enhancing the generalizability of the results.

Second, the representativeness of our results might be restricted, as Zhihu, despite its large user base in China, may not fully represent all Chinese social media users. Moreover, due to the nature of Zhihu’s user base, we recognize that it may not represent the more interactive and emotion-driven discussions found on other platforms, such as Xiaohongshu (Little Red Book), a Chinese equivalent of Instagram. Therefore, future research could broaden the scope to include other platforms, collecting comparable data from social media sites such as Xiaohongshu to validate and expand on our findings.

Finally, these data regarding perceived causes of EDs were collected indirectly from social media users who self-reported EDs by using content analysis of their social media posts. The perceived causes in the present study may be different from the perceived causes that are directly collected from patients with EDs via clinical interviews. Thus, future research should consider gathering data from social media and direct interviews with patients with EDs to examine whether and to what extent the perceived causes may differ.

Conclusion

This study offered insights into the self-perceived causes of EDs in Chinese social media users, highlighting the important roles of self-perceived causes of “psychological and emotional problems” and “body image and eating.” Our findings underscored the potentially complex interplay of specific causes among individual factors and social and cultural factors in the development of EDs, with variations observed in different types of self-reported EDs. Despite its contributions, the study acknowledged limitations such as the homogeneity of the samples in terms of sex, the reliance on a single social media platform, and no validation of the findings by collecting other data directly from patients with EDs via interviews. In sum, the present study highlighted the potential utility and significance of researching the etiology of EDs via big datasets in the context of the evolving digital environment.

Availability of data and materials

These data are available from the corresponding author upon request.

Abbreviations

AN:

Anorexia nervosa

BED:

Binge-eating disorder

BN:

Bulimia nervosa

DSM-5:

Diagnostic and statistical manual of mental disorders, 5th edition

EDs:

Eating disorders

References

  1. Conti C, Lanzara R, Scipioni M, Iasenza M, Guagnano MT, Fulcheri M. The relationship between binge eating disorder and suicidality: a systematic review. Front Psychol. 2017;8:2125. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fpsyg.2017.02125.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Godart N, Radon L, Curt F, Duclos J, Perdereau F, Lang F, Venisse JL, Halfon O, Bizouard P, Loas G, Corcos M, Jeammet P, Flament MF. Mood disorders in eating disorder patients: prevalence and chronology of ONSET. J Affect Disord. 2015;185:115–22. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jad.2015.06.039.

    Article  PubMed  Google Scholar 

  3. Jenkins PE, Hoste RR, Meyer C, Blissett JM. Eating disorders and quality of life: a review of the literature. Clin Psychol Rev. 2011;31(1):113–21. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.cpr.2010.08.003.

    Article  PubMed  Google Scholar 

  4. Smink FR, van Hoeken D, Hoek HW. Epidemiology of eating disorders: incidence, prevalence and mortality rates. Curr Psychiatry Rep. 2012;14(4):406–14. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s11920-012-0282-y.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Galmiche M, Dechelotte P, Lambert G, Tavolacci MP. Prevalence of eating disorders over the 2000–2018 period: a systematic literature review. Am J Clin Nutr. 2019;109(5):1402–13. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/ajcn/nqy342.

    Article  PubMed  Google Scholar 

  6. Wu J, Lin Z, Liu Z, He H, Bai L, Lyu J. Secular trends in the incidence of eating disorders in China from 1990 to 2017: a joinpoint and age-period-cohort analysis. Psychol Med. 2022;52(5):946–56. https://doiorg.publicaciones.saludcastillayleon.es/10.1017/S0033291720002706.

    Article  PubMed  Google Scholar 

  7. Yao S, Zhang R, Thornton LM, Peat CM, Qi B, Du S, Wang H, Zhang B, Bulik CM. Screen-detected disordered eating and related traits in a large population sample of females in mainland China: China Health and Nutrition Survey. Int J Eat Disord. 2021;54(1):24–35. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/eat.23409.

    Article  PubMed  Google Scholar 

  8. Kong Q. Interpretation of the guideline for prevention and treatment of eating disorders Chinese. Chin J Psychiatry. 2018;51(6):355–8. https://doiorg.publicaciones.saludcastillayleon.es/10.3760/cma.j.issn.1006-7884.2018.06.003.

    Article  Google Scholar 

  9. Ma R, Zhang M, Oakman JM, Wang J, Zhu S, Zhao C, Hu Z, Buchanan NT. Eating disorders treatment experiences and social support: perspectives from service seekers in mainland China. Int J Eat Disord. 2021;54(8):1537–48. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/eat.23565.

    Article  PubMed  Google Scholar 

  10. Jaiprakash HH, MacKinnon A, Arnaud S, Neal JP. Valuing patient perspectives in the context of eating disorders. Eating Weight Disorders-Stud Anorexia Bulimia Obesity. 2024;29(1):12. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s40519-023-01635-3.

    Article  Google Scholar 

  11. Holmes S, Ma H. A feminist approach to eating disorders in China: a qualitative study. J Eat Disord. 2023;11(1):157. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40337-023-00883-z.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Vu-Augier de Montgremier M, Moro MR, Chen J, Blanchet C, Lachal J. Eating disorders and representations of the role of women in China: a qualitative study. Eur Eat Disord Rev. 2020;28(2):211–22. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/erv.2717.

    Article  PubMed  Google Scholar 

  13. Ma JL. Eating disorders, parent–child conflicts, and family therapy in Shenzhen. China Qual Health Res. 2008;18(6):803–10. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/1049732308318737.

    Article  PubMed  Google Scholar 

  14. Wu Y, Harrison A. “Our daily life was mainly comprised of eating and sitting:” a qualitative analysis of adolescents’ experiences of inpatient eating disorder treatment in China. J Eat Disord. 2019;7:1–14. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40337-019-0250-6.

    Article  Google Scholar 

  15. Grimm P. Social desirability bias. In: Sheth J, Malhotra N, editors. Wiley international encyclopedia of marketing. Wiley; 2010. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/9781444316568.wiem02057.

    Chapter  Google Scholar 

  16. Kaushal K. Social desirability bias in face to face interviews. J Postgrad Med. 2014;60(4):415–6. https://doiorg.publicaciones.saludcastillayleon.es/10.4103/0022-3859.143987.

    Article  PubMed  Google Scholar 

  17. Dodou D, de Winter JC. Social desirability is the same in offline, online, and paper surveys: a meta-analysis. Comput Hum Behav. 2014;36:487–95. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.chb.2014.04.005.

    Article  Google Scholar 

  18. Zheng Q, Guo Y, Wang Z, Andrasik F, Kuang Z, Li J, Xu S, Hu X. Exploring Weibo users’ attitudes toward lesbians and gays in Mainland China: a natural language processing and machine learning approach. Comput Hum Behav. 2022;127: 107021. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.chb.2021.107021.

    Article  Google Scholar 

  19. Roesch SC, Weiner B. A meta-analytic review of coping with illness: do causal attributions matter? J Psychosom Res. 2001;50(4):205–19. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/S0022-3999(01)00188-X.

    Article  PubMed  Google Scholar 

  20. Petrie KJ, Weinman J. Why illness perceptions matter. Clin Med. 2006;6(6):536–9. https://doiorg.publicaciones.saludcastillayleon.es/10.7861/clinmedicine.6-6-536.

    Article  Google Scholar 

  21. Marcos YQ, Canterol MCT, Escobar CR, Acosta GP. Illness perception in eating disorders and psychosocial adaptation. Eur Eat Disord Rev. 2007;15(5):373–84. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/erv.793.

    Article  Google Scholar 

  22. Vélez-Vélez E, Bosch RJ. Illness perception, coping and adherence to treatment among patients with chronic kidney disease. J Adv Nurs. 2016;72(4):849–63. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/jan.12873.

    Article  PubMed  Google Scholar 

  23. Sigit FS, de Mutsert R, Lamb HJ, Meuleman Y, Kaptein AA. Illness perceptions and health-related quality of life in individuals with overweight and obesity. Int J Obes (Lond). 2022;46(2):417–26. https://doiorg.publicaciones.saludcastillayleon.es/10.1038/s41366-021-01014-x.

    Article  PubMed  Google Scholar 

  24. Elwy AR, Yeh J, Worcester J, Eisen SV. An illness perception model of primary care patients’ help seeking for depression. Qual Res Health. 2011;21(11):1495–507. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/1049732311413781.

    Article  Google Scholar 

  25. Mond JM, Hay P, Rodgers B, Owen C. Mental health literacy and eating disorders: What do women with bulimic eating disorders think and know about bulimia nervosa and its treatment? J Ment Health. 2008;17(6):565–75. https://doiorg.publicaciones.saludcastillayleon.es/10.1080/09638230701677787.

    Article  Google Scholar 

  26. Gratwick-Sarll K, Mond J, Hay P. Self-recognition of eating-disordered behavior in college women: Further evidence of poor eating disorders “mental health literacy”? Eat Disord. 2013;21(4):310–27. https://doiorg.publicaciones.saludcastillayleon.es/10.1080/10640266.2013.797321.

    Article  PubMed  Google Scholar 

  27. Worsfold KA, Sheffield JK. Eating disorder mental health literacy: What do psychologists, naturopaths, and fitness instructors know? Eat Disord. 2018;26(3):229–47. https://doiorg.publicaciones.saludcastillayleon.es/10.1080/10640266.2017.1397420.

    Article  PubMed  Google Scholar 

  28. Blodgett Salafia EH, Jones ME, Haugen EC, Schaefer MK. Perceptions of the causes of eating disorders: a comparison of individuals with and without eating disorders. J Eat Disord. 2015;3:32. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40337-015-0069-8.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Cohen J. A power primer. In: Kazdin AE, editor. Methodological issues and strategies in clinical research. 4th ed. Washington: American Psychological Association; 2016. p. 279–84. https://doiorg.publicaciones.saludcastillayleon.es/10.1037/14805-018.

    Chapter  Google Scholar 

  30. Kevin Thompson J, Heinberg LJ, Altabe M, Tantleff-Dunn S. Exacting beauty: theory, assessment, and treatment of body image disturbance. Washington: American Psychological Association; 1999. https://doiorg.publicaciones.saludcastillayleon.es/10.1037/10312-000.

    Book  Google Scholar 

  31. Brogan A, Hevey D. The structure of the causal attribution belief network of patients with obesity. Br J Health Psychol. 2009;14(1):35–48. https://doiorg.publicaciones.saludcastillayleon.es/10.1348/135910708x292788.

    Article  PubMed  Google Scholar 

  32. Weiner B. “Spontaneous” causal thinking. Psychol Bull. 1985;97(1):74–84. https://doiorg.publicaciones.saludcastillayleon.es/10.1037/0033-2909.97.1.74.

    Article  PubMed  Google Scholar 

  33. Barnhart WR, Cui TX, Cui SQ, Han XN, Lu C, He JB. Examining appearance pressures, thinness and muscularity internalizations, and social comparisons as correlates of drive for muscularity and thinness-oriented disordered eating in Chinese heterosexual men and women: testing an integrated model. Body Image. 2022;43:429–39. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.bodyim.2022.10.005.

    Article  PubMed  Google Scholar 

  34. Barnhart WR, Sun H, Lin Z, Lu C, Han X, He J. Integrating the tripartite influence, minority stress, and social comparison theories to explain body image and disordered eating in Chinese sexual minority men and women. Body Image. 2022;43:95–106. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.bodyim.2022.08.012.

    Article  PubMed  Google Scholar 

  35. Striegel-Moore RH, Bulik CM. Risk factors for eating disorders. Am Psychol. 2007;62(3):181–98. https://doiorg.publicaciones.saludcastillayleon.es/10.1037/0003-066X.62.3.181.

    Article  PubMed  Google Scholar 

  36. Rukavina T, Pokrajac-Bulian A. Thin-ideal internalization, body dissatisfaction and symptoms of eating disorders in Croatian adolescent girls. Eat Weight Disord. 2006;11(1):31–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/BF03327741.

    Article  PubMed  Google Scholar 

  37. Lee S. Anorexia nervosa in Hong Kong: a Chinese perspective. Psychol Med. 1991;21(3):703–11. https://doiorg.publicaciones.saludcastillayleon.es/10.1017/s0033291700022340.

    Article  PubMed  Google Scholar 

  38. Lee S, Chan YYL, Hsu LKG. The intermediate-term outcome of Chinese patients with anorexia nervosa in Hong Kong. Am J Psychiatry. 2003;160(5):967–72. https://doiorg.publicaciones.saludcastillayleon.es/10.1176/appi.ajp.160.5.967.

    Article  PubMed  Google Scholar 

  39. Tong J, Miao SJ, Wang J, Zhang JJ, Wu HM, Li T, Hsu LK. Five cases of male eating disorders in Central China. Int J Eat Disord. 2005;37(1):72–5. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/eat.20061.

    Article  PubMed  Google Scholar 

  40. Brockmeyer T, Skunde M, Wu M, Bresslein E, Rudofsky G, Herzog W, Friederich HC. Difficulties in emotion regulation across the spectrum of eating disorders. Compr Psychiatry. 2014;55(3):565–71. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.comppsych.2013.12.001.

    Article  PubMed  Google Scholar 

  41. Mallorquí-Bagué N, Vintró-Alcaraz C, Sánchez I, Riesco N, Agüera Z, Granero R, Jiménez-Múrcia S, Menchón JM, Treasure J, Fernández-Aranda F. Emotion regulation as a transdiagnostic feature among eating disorders: cross-sectional and longitudinal approach. Eur Eat Disord Rev. 2018;26(1):53–61. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/erv.2570.

    Article  PubMed  Google Scholar 

  42. Mitchison D, Wang SB, Wade T, Haynos AF, Bussey K, Trompeter N, Lonergan A, Tame J, Hay P. Development of transdiagnostic clinical risk prediction models for 12-month onset and course of eating disorders among adolescents in the community. Int J Eat Disord. 2023;56(7):1406–16. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/eat.23951.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Prefit AB, Candea DM, Szentagotai-Tatar A. Emotion regulation across eating pathology: a meta-analysis. Appetite. 2019;143: 104438. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.appet.2019.104438.

    Article  PubMed  Google Scholar 

  44. American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-5. Washington, DC: American Psychiatric Association; 2013.

    Book  Google Scholar 

  45. Liang G, Cheng Y, Barnhart WR, Song J, Lu T, He J. A network analysis of disordered eating symptoms, big-five personality traits, and psychological distress in Chinese adults. Int J Eat Disord. 2023;56(10):1842–53. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/eat.24012.

    Article  PubMed  Google Scholar 

  46. Wu HX, Ching BH-H, He CC, Li Y. “Thinness is beauty”: predictors of anti-fat attitudes among young Chinese women. Curr Psychol. 2021;42(8):6834–45. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s12144-021-02021-x.

    Article  Google Scholar 

  47. Jackson T, Chen H. Predicting changes in eating disorder symptoms among Chinese adolescents: a 9-month prospective study. J Psychosom Res. 2008;64(1):87–95. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jpsychores.2007.08.015.

    Article  PubMed  Google Scholar 

  48. Castillo M, Weiselberg E. Bulimia nervosa/purging disorder. Curr Probl Pediatr Adolesc Health Care. 2017;47(4):25–34. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.cppeds.2017.02.004.

    Article  Google Scholar 

  49. Kruger D. Bulimia nervosa: easy to hide but essential to recognize. JAAPA. 2008;21(1):48–52. https://doiorg.publicaciones.saludcastillayleon.es/10.1097/01720610-200801000-00011.

    Article  PubMed  Google Scholar 

  50. Lydecker JA, Simpson L, Smith SR, White MA, Grilo CM. Preoccupation in bulimia nervosa, b inge-eating disorder, anorexia nervosa, and higher weight. Int J Eat Disord. 2022;55(1):76–84. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/eat.23630.

    Article  PubMed  Google Scholar 

  51. Raymond NC, Mussell MP, Mitchell JE, de Zwaan M, Crosby RD. An age-matched comparison of subjects with binge eating disorder and bulimia nervosa. Int J Eat Disord. 1995;18(2):135–43. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/1098-108x(199509)18:2%3c135::aid-eat2260180205%3e3.0.co;2-m.

    Article  PubMed  Google Scholar 

  52. Jackson T, Jiang CC, Chen H. Associations between Chinese/Asian versus Western mass media influences and body image disturbances of young Chinese women. Body Image. 2016;17:175–83. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.bodyim.2016.03.007.

    Article  PubMed  Google Scholar 

  53. Wang K, Liang R, Yu XY, Shum DHK, Roalf D, Chan RCK. The thinner the better: evidence on the internalization of the slimness ideal in Chinese college students. Psych J. 2020;9(4):544–52. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/pchj.346.

    Article  PubMed  Google Scholar 

  54. Wang YH, Gu X, Geng JY, Wei XY, Lei L. Relationships among selfie-viewing on social media, thin-ideal internalization, and restrained eating in adolescents: the buffering role of media literacy. Cyberpsychology. 2024;18(1):2. https://doiorg.publicaciones.saludcastillayleon.es/10.5817/Cp2024-1-2.

    Article  Google Scholar 

  55. Watson HJ, Palmos AB, Hunjan A, Baker JH, Yilmaz Z, Davies HL. Genetics of eating disorders in the genome-wide era. Psychol Med. 2021;51(13):2287–97. https://doiorg.publicaciones.saludcastillayleon.es/10.1017/S0033291720005474.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Yao S, Larsson H, Norring C, Birgegard A, Lichtenstein P, D’Onofrio BM, Almqvist C, Thornton LM, Bulik CM, Kuja-Halkola R. Genetic and environmental contributions to diagnostic fluctuation in anorexia nervosa and bulimia nervosa. Psychol Med. 2021;51(1):62–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1017/S0033291719002976.

    Article  PubMed  Google Scholar 

  57. Donato K, Ceccarini MR, Dhuli K, Bonetti G, Medori MC, Marceddu G, Precone V, Xhufi S, Bushati M, Bozo D. Gene variants in eating disorders. Focus on anorexia nervosa, bulimia nervosa, and binge-eating disorder. J Prev Med Hyg. 2022;63(23):E297–305.

    PubMed  PubMed Central  Google Scholar 

  58. He J, Cai Z, Fan X. Prevalence of binge and loss of control eating among children and adolescents with overweight and obesity: an exploratory meta-analysis. Int J Eat Disord. 2017;50(2):91–103. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/eat.22661.

    Article  PubMed  Google Scholar 

  59. Sun S, He J, Shen B, Fan X, Chen Y, Yang X. Obesity as a “self-regulated epidemic”: coverage of obesity in Chinese newspapers. Eat Weight Disord. 2021;26:569–84. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s40519-020-00886-8.

    Article  PubMed  Google Scholar 

  60. Striegel-Moore RH, Rosselli F, Perrin N, DeBar L, Wilson GT, May A, Kraemer HC. Gender difference in the prevalence of eating disorder symptoms. Int J Eat Disord. 2009;42(5):471–4. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/eat.20625.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Gallagher KA, Sonneville KR, Hazzard VM, Carson TL, Needham BL. Evaluating gender bias in an eating disorder risk assessment questionnaire for athletes. Eat Disord. 2021;29(1):29–41. https://doiorg.publicaciones.saludcastillayleon.es/10.1080/10640266.2019.1613846.

    Article  PubMed  Google Scholar 

  62. Barnhart WR, Cui S, Cui T, Hong D, He J. Transgender congruence, body appreciation, body dissatisfaction, and disordered eating in Chinese transgender adults. Int J Eat Disord. 2023;56(6):1125–34. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/eat.23932.

    Article  PubMed  Google Scholar 

  63. Burke NL, Hazzard VM, Schaefer LM, Simone M, O’Flynn JL, Rodgers RF. Socioeconomic status and eating disorder prevalence: at the intersections of gender identity, sexual orientation, and race/ethnicity. Psychol Med. 2023;53(9):4255–65. https://doiorg.publicaciones.saludcastillayleon.es/10.1017/S0033291722001015.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors thank Professor Tianyuan Li for her suggestions to improve the manuscript and the team members in the SCI-CREAM Lab for helping with data labeling and coding.

Funding

Jinbo He was supported by the National Natural Science Foundation of China (Grant Number: 72204208), the 2022 Shenzhen College Stability Support Plan from Shenzhen Science and Technology Innovation Commission (Grant Number: 2023SC0028), and the Presidential Fund of The Chinese University of Hong Kong, Shenzhen (Grant Number: PF.01.001428).

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Authors

Contributions

Jinbo He: Conceptualization, Supervision, Methodology, Funding acquisition, Project administration, Writing—original draft, Writing—review & editing. Yuchen Zhang: Formal analysis, Data Curation, Writing—original draft, Writing—review & editing. Zhiyuan Liu: Investigation, Data curation, Writing—review & editing. Wesley R. Barnhart: Writing—original draft, Writing—review & editing. Shuqi Cui: Writing—review & editing. Shi’ting Chen: Writing—review & editing. Yuru Fu: Writing—review & editing. Feng Ji: Writing—review & editing. Jason M. Nagata: Writing—review & editing. Shaojing Sun: Conceptualization, Supervision, Writing—review & editing.

Corresponding authors

Correspondence to Jinbo He or Shaojing Sun.

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The ethical approval was obtained from the Institutional Review Board of the Chinese University of Hong Kong, Shenzhen (No. EF20220809001).

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The present study used public social media data, and informed consent was not applicable.

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The authors declare no competing interests.

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He, J., Zhang, Y., Liu, Z. et al. Exploring the self-perceived causes of eating disorders among Chinese social media users with self-reported eating disorders. J Eat Disord 12, 201 (2024). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40337-024-01159-w

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