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Record W7117158237 · doi:10.1186/s40337-025-01497-3

Improving body image in female Chinese social media users with eating disorder symptoms: a randomized controlled trial of two online self-guided single-session interventions

2025· article· en· W7117158237 on OpenAlex
Y Cheng, Yuhan Chen, Wesley R. Barnhart, Chun Chen, See Heng Yim, Jason M. Nagata, Feng Ji, Jinbo He

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Eating Disorders · 2025
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Toronto
FundersNational Natural Science Foundation of China
KeywordsSocial mediaRandomized controlled trialPsychological interventionEating disordersSocial comparison theoryeHealth

Abstract

fetched live from OpenAlex

Social media use is a risk factor for eating and body image disturbances. The overlap between social media and eating and body image disturbances is particularly concerning in the Chinese context given an estimated billion active social media users in China, especially among females. This highlights the need for scalable, culturally adapted prevention and intervention strategies. This study developed and evaluated two online, self-guided, single-session interventions (SSIs), including a Media Literacy Intervention (MLI) and a Body Functionality-focused expressive writing Intervention (BFI), alongside waitlist controls, and examined their ability to improve body image among adult female Chinese social media users with eating disorder (ED) symptoms. A total of 204 female social media users with ED symptoms were recruited via Xiaohongshu (Little Red Note) and randomized to the MLI (n = 68), BFI (n = 68), or waitlist control group (n = 68). Primary outcomes included measures of negative and positive body image. Secondary outcomes included a range of measures including ED psychopathology and psychological distress. Assessments were conducted at baseline, 1-week post-intervention, and 4 weeks after baseline. Both MLI and BFI interventions significantly outperformed the waitlist control on primary and secondary outcomes. The two interventions demonstrated comparable efficacy across most domains, except for eating flexibility, where BFI yielded greater improvements. Intervention uptake was high (93%), and most participants (95%) reported they would recommend the intervention to others. SSIs show promise as accessible, acceptable, and effective tools for improving body image and reducing ED symptoms among Chinese female social media users with ED symptoms. Future research should conduct larger-scale studies to examine their effectiveness and long-term impact. Social media use is associated with body image concerns and increased risk of eating disorders. We developed two culturally adapted, self-guided online programs delivered via WeChat: a Media Literacy Intervention (MLI) and a Body Functionality Intervention (BFI). In a randomized controlled trial with 204 female social media users experiencing eating disorder symptoms, both interventions significantly improved body image and reduced eating disorder symptoms and psychological distress at follow-ups, compared to a control group. The interventions were highly acceptable, with 95% of participants indicating they would recommend them to others. These results suggest that brief, accessible online programs may be effective in improving body image, eating behaviors, and general mental health among female social media users with eating disorder symptoms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.351
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it