Evidence map›Paper›PMID 41990311›Full record

ArticleJournal of global health2026

Individual and household determinants of overweight and obesity among children and adolescents in China.

Meiqiyang Xue, Yutong Jiang, Mingsheng Chen, Lei Si

Abstract read
In one paragraph

Article in Journal of global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Meiqiyang XueSchool of Health Policy and Management, Nanjing Medical University, Nanjing, China.
Yutong JiangSchool of Health Policy and Management, Nanjing Medical University, Nanjing, China.
Mingsheng ChenSchool of Health Policy and Management, Nanjing Medical University, Nanjing, China.
Lei SiSchool of Health Sciences, Faculty of Health, Western Sydney University, Campbelltown, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Overweight and obesity among children and adolescents are a global concern. Research on the combined influence of individual and household factors on overweight and obesity among children and adolescents across China remains relatively limited, especially regarding parental social capital. This study aims to identify the prevalence of overweight and obesity among children and adolescents in China and explore related individual and household determinants. Methods: We retrieved data on 2431 individuals aged 7-18 years from the 2020 China Family Panel Studies. We used binary logistic regression to evaluate associations between overweight and obesity among children and adolescents and 22 variables selected via keyword co-occurrence visualisation, and conducted sensitivity analyses to assess quality and robustness. Results: Among the participants, 20.36% (95% confidence interval (CI) = 18.78-22.02) were overweight, and 10.00% (95% CI = 8.83-11.26) were obese. Shared risk factors for both overweight and obesity included younger age, male sex, urban residence, informal education, paternal overweight, paternal obesity, maternal overweight, maternal loneliness, and low maternal cognitive social capital. Factors uniquely associated with overweight were maternal obesity, internet use, higher maternal structural social capital, good community infrastructure, and living in Northeastern China. For obesity, specific predictors were a larger mother-child age gap and the highest household income. Conclusions: Overweight and obesity among children and adolescents in China is shaped by complex individual and household factors. Our findings highlight the need for coordinated interventions by families, schools, and governments targeting intergenerational and sociocultural pathways.

Indexed as

Family CharacteristicsOverweightPediatric ObesityAdolescentChildChinaFemaleHumansMalePrevalenceRisk FactorsSocioeconomic Factors

Identifiers

PMID41990311
PMCPMC13086484

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LicenceCC BY
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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.