Evidence map›Paper›PMID 40817067›Full record

ArticleBMC medicine2025

The burden of eating disorder risk in Chinese adolescents: prevalence, multilevel correlates, and psychosocial differences in a national study.

Jiamin Bao, Pinky Gan, Junkai Feng, Yixuan Wang, Yanfeng Luo, Yinyin Zang

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jiamin BaoSchool of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behaviour and Mental Health and Key Laboratory of Machine Perception (Ministry of Education), Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871, China.
Pinky GanSchool of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behaviour and Mental Health and Key Laboratory of Machine Perception (Ministry of Education), Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871, China.
Junkai FengSchool of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behaviour and Mental Health and Key Laboratory of Machine Perception (Ministry of Education), Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871, China.
Yixuan WangSchool of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behaviour and Mental Health and Key Laboratory of Machine Perception (Ministry of Education), Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871, China.
Yanfeng LuoSchool of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behaviour and Mental Health and Key Laboratory of Machine Perception (Ministry of Education), Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871, China.
Yinyin ZangSchool of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behaviour and Mental Health and Key Laboratory of Machine Perception (Ministry of Education), Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871, China. Yinyin.Zang@pku.edu.cn.

Funding

National Natural Science Foundation of China 32371139
6 · The paper itself

Abstract

backgroundEating disorders (EDs) are a growing health concern among children and adolescents globally, yet their prevalence and associated factors in China remain underexplored. This study aimed to update epidemiological data on screening-detected EDs and to examine multilevel associated factors in a large, representative sample of Chinese adolescents.

methodsCross-sectional data were drawn from the 2021-2022 Child to Adult Mental and Physical Health Study (CAMPS). Using a geographically stratified sampling approach with sample weights calibrated to 2020 Census demographics, we recruited 41,406 adolescents aged 10-19 across eastern, central, and western China. Probable EDs were assessed using the SCOFF questionnaire, with clinical significance evaluated through anxiety and depression scales. Psychosocial functioning was compared between adolescents with and without probable EDs. Associated factors spanning individual, family, and regional levels were examined using multivariate logistic regression.

resultsThe prevalence of probable EDs was 21.18% (95% CI: 20.33-22.04), decreasing to 11.33% (95% CI: 10.68-11.99) when considering clinical significance. Adolescents with probable EDs exhibited significantly poorer psychosocial functioning compared to their peers, including lower academic engagement and higher self-harm, externalizing behaviors, and suicide risk (Cohen's ds ≥ 0.28, ps < 0.001). Being female (OR = 1.88, 95% CI: 1.32-2.68, p < 0.001), having higher BMI (OR = 1.02, 95% CI: 1.01-1.03, p < 0.001), increased mobile phone use (OR = 1.06, 95% CI: 1.05-1.07, p < 0.001), lower familial subjective socioeconomic status (SES) (OR = 0.92, 95% CI: 0.89-0.96, p < 0.001), lower subjective SES in school (OR = 0.91, 95% CI: 0.87-0.95, p < 0.001), and living in less developed regions (OR = 0.23, 95% CI: 0.08-0.70, p = 0.010) were significantly associated with increased risk of probable EDs. Cohabitating with the father (ORs = 0.65 to 0.77, ps < 0.033) was protective in some provinces.

conclusionsThis study reveals a substantial burden of probable EDs among Chinese adolescents, with weighted prevalence rates comparable to global estimates and markedly higher than a decade ago. These findings underscore the importance of prioritizing EDs as a public health concern in China and advocate for targeted, multilevel interventions that address both individual and socio-ecological associated factors.

Indexed as

Feeding and Eating DisordersAdolescentChildChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMalePrevalenceRisk FactorsYoung AdultAdolescentChinaDisordered eatingEating disorderEpidemiologicalPrevalence

Identifiers

PMID40817067
PMCPMC12357332

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.