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
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».