Evidence map›Paper›PMID 42609271›Full record

ArticleFrontiers in nutrition2026

Nutritional and behavioral determinants of overweight and obesity among school-aged children in Shandong Province, China: evidence from a large-scale cross-sectional study.

Wance Wang, Lei Yan, Bowen Xu, Xiangwei Pang, Qianqian Li, Ke Chen, Renkai Ge

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Wance WangThe School of Physical Education and Health, East China Jiaotong University, Nanchang, China.
Lei YanSchool of Chemistry and Chemical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
Bowen XuThe School of Physical Education and Health, East China Jiaotong University, Nanchang, China.
Xiangwei PangJafron Biomedical Co., Ltd., Jinan, China.
Qianqian LiShandong University of Art and Design, Jinan, China.
Ke ChenThe School of Physical Education and Health, East China Jiaotong University, Nanchang, China.
Renkai GeThe School of Physical Education and Health, East China Jiaotong University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Childhood overweight and obesity are pressing global health challenges with rising prevalence in China. Shandong Province, as a populous and economically developed region, provides a critical context for understanding regional patterns and determinants. Methods: A cross-sectional survey was conducted among 83,436 children aged 9-12 years from 155 schools in 16 cities (September-November 2025). Anthropometric measurements and validated questionnaires were used to assess weight status, demographics, family environment, and lifestyle factors. Overweight/obesity was classified using International Obesity Task Force (IOTF) cut-offs. Logistic regression identified associated risk and protective factors. Results: The prevalence of overweight/obesity was 19.0%. Rates were higher in boys than girls (19.9% vs. 18.2%, Conclusion: Childhood overweight/obesity in Shandong Province is influenced by demographic, familial, and lifestyle factors. Findings highlight the importance of multilevel interventions-targeting family health behaviors, maternal metabolic management, school-based physical activity promotion, and community nutrition policies-to curb the rising burden of obesity.

Indexed as

childhood obesitylifestyle behaviorsoverweightrisk factorsShandong Province

Identifiers

PMID42609271
PMCPMC13477887

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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.