Evidence map›Paper›PMID 39095721›Full record

ArticleBMC pediatrics2024

Epidemiology of obesity and influential factors in China: a multicenter cross-sectional study of children and adolescents.

Hongai Li, Xiayu Xiang, Yajun Yi, Bailu Yan, Leta Yi, Ning Ding, Jinping Yang, Zhuohe Gu, Qing Luo, Yan Huang and 2 more

Erratum issuedAbstract readMulticenter Study
In one paragraph

Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Analysis of the Association Between Weight Status and Myopia in Children and Adolescents and Development of a Screening Model Based on Body Fat Percentage.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
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  12. Epidemiology of Overweight and Obesity in Early Childhood in China and Associated Factors.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Hongai Li *Department of Pediatrics, Hainan Women and Children's Medical Center (Children's Hospital, Hainan Medical University), Haikou, 570206, China.
Xiayu Xiang *Department of New Networks, Peng Cheng Laboratory, Shenzhen, 518000, China.
Yajun YiDepartment of Medicine, Vanderbilt University Medical School, Nashville, TN, 37212, USA.
Bailu YanDepartment of Biostatistics, Vanderbilt University, Nashville, TN, 37205, USA.
Leta YiDepartment of Medicine, University of North Carolina Medical Center, Chapel Hill, NC, 27514, USA.
Ning DingInstitute for International Health Professions Education and Research, China Medical University, Shenyang, 110122, China.
Jinping YangClinical Nutrition Department, Zunhua People's Hospital, Zunhua, 064200, China.
Zhuohe GuDepartment of Clinical Nutrition, Maoming People's Hospital, Maoming, 525000, China.
Qing LuoDepartment of Pediatrics, Hainan Women and Children's Medical Center (Children's Hospital, Hainan Medical University), Haikou, 570206, China.
Yan HuangDepartment of Pediatrics, Hainan Women and Children's Medical Center (Children's Hospital, Hainan Medical University), Haikou, 570206, China. hyhy366@163.com.
Lichun FanDepartment of Pediatrics, Hainan Women and Children's Medical Center (Children's Hospital, Hainan Medical University), Haikou, 570206, China. 285562830@qq.com.
Wei XiangDepartment of Pediatrics, Hainan Women and Children's Medical Center (Children's Hospital, Hainan Medical University), Haikou, 570206, China. 13907533529@163.com.

Funding

Excellent Talent Team of Hainan Province QRCBT202121Hainan Major Science and Technology Projects ZDKJ2019010Hainan Province Clinical Medical Center QWYH202175Hainan Province Science and Technology Special Fund ZDYF2021SHFZ088Joint Program on Health Science & Technology Innovation of Hainan Province SQ2023WSJK0025National Natural Science Foundation of Hainan Province 820QN411
6 · The paper itself

Abstract

objectiveTo determine the prevalence of and risk factors for overweight and obese among Chinese children and adolescents.

methodsThis analytical cross-sectional study included 16,640 children and adolescents aged 6-18 years across four provinces of China in 2016. Physical characteristics and responses to questionnaires were analyzed. Body Mass Index (BMI) and the prevalence of overweight and obesity were calculated.

resultsAmong children and adolescents, the overall prevalence of overweight and obesity in 2016 in four regions of China was 27.2% and 29.6%, respectively. Among different stages and sexes, the highest prevalence of obesity (15.8%) was observed in adolescent boys. From childhood to adolescence, the obesity rate among boys increased by 0.7% (from 15.1% to 15.8%), while the obesity rate among girls decreased by 0.9% (from 10.8% to 9.9%). Children and adolescents who were overweight or obese had significantly higher systolic blood pressures, larger waist circumferences and larger hip sizes than those with a normal BMI. Logistic regression analyses identified thirteen factors associated with overweight or obesity in children and adolescents.

conclusionsOur results indicate that the prevalence of overweight and obesity is high among children and adolescents, especially among male adolescents in four regions of China. A suitable intervention program should not only help parents understand the serious risk of childhood obesity but also, more importantly, help to encourage a healthy lifestyle among children and adolescents.

Indexed as

Body Mass IndexPediatric ObesityAdolescentChildChinaCross-Sectional StudiesFemaleHumansMaleOverweightPrevalenceRisk FactorsSex DistributionAdolescentChildEpidemiologyObesity

Identifiers

PMID39095721
PMCPMC11295318

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.