Evidence map›Paper›PMID 34698846›Full record

ArticleJAMA network open2021

Regional Disparities in Obesity Among a Heterogeneous Population of Chinese Children and Adolescents.

Li Zhang, JingNan Chen, JianWei Zhang, Wei Wu, Ke Huang, RuiMin Chen, Mireguli Maimaiti, ShaoKe Chen, BingYan Cao, Min Zhu and 14 more

Erratum issuedAbstract read
In one paragraph

Article in JAMA network open, 2021. 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 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Li ZhangDepartment of Endocrinology, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
JingNan ChenNational Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
JianWei ZhangDepartment of Endocrinology, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wei WuDepartment of Endocrinology, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ke HuangDepartment of Endocrinology, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
RuiMin ChenDepartment of Endocrinology, Genetics and Metabolism, Fuzhou Children's Hospital, Fujian Province, China.
Mireguli MaimaitiDepartment of Pediatrics, the First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China.
ShaoKe ChenDepartment of Pediatrics, Nanning Women and Children's Hospital, Nanning, China.
BingYan CaoDepartment of Endocrinology, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Min ZhuDepartment of Endocrinology, The Children's Hospital of Chongqing Medical University, Chongqing, China.
ChunLin WangDepartment of Pediatrics, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhe SuDepartment of Endocrinology, Shenzhen Children's Hospital, Guangdong Province, China.
Yan LiangDepartment of Pediatrics, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Hui YaoDepartment of Endocrinology, Wuhan Women and Children's Health Care Center, Wuhan, China.
HaiYan WeiDepartment of Endocrinology, Genetics and Metabolism, Zhengzhou Children's Hospital, Zhengzhou, China.
RongXiu ZhengDepartment of Pediatrics, Tianjin Medical University General Hospital, Heping, China.
HongWei DuDepartment of Pediatrics, The First Bethune Hospital of Jilin University, Jilin, China.
FeiHong LuoDepartment of Endocrinology, Genetics and Metabolism, Children's Hospital of Fudan University, Shanghai, China.
Pin LiDepartment of Endocrinology, Children's Hospital of Shanghai, Shanghai, China.
MinJia MoSchool of Public Health, Zhejiang University, Hangzhou, China.
YunXian YuSchool of Public Health, Zhejiang University, Hangzhou, China.
Ergang WangCenter for Genomics and Computational Biology, Department of Biomedical Engineering, Duke University, Durham, North Carolina.
Robert M DorazioNational Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Junfen FuDepartment of Endocrinology, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Obesity is a public health challenge in China, but the geographical profiles of overweight and obesity among Chinese children are limited. Objective: To examine regional disparities in the prevalence of obesity among the heterogeneous population of Chinese children and adolescents to provide a more accurate profile of obesity among children in China. Design, Setting, and Participants: The Prevalence and Risk Factors for Obesity and Diabetes in Youth (PRODY) study was a cross-sectional survey study conducted from January 1, 2017, to December 31, 2019, among 201 098 children aged 3 to 18 years from 11 provinces, autonomous regions, and municipalities that produced a sample of Chinese children with a full range of ages and wide geographical coverage using a multistage, stratified, cluster-sampling design. Exposures: Five regions geographically representative of China (northern, eastern, southern, western, and central). Main Outcomes and Measures: The body weights and heights of all participants were measured. Multilevel, multinomial logistic regression models were used to estimate the prevalence of overweight and obesity. Results: Among 201 098 healthy children (105 875 boys [52.6%]; mean [SD] age, 9.8 [3.8] years) from eastern, southern, northern, central, and western China, the highest obesity prevalence was estimated for children aged 8 to 13 years in northern China (from 18.8% [95% CI, 16.2%-21.7%] to 23.6% [95% CI, 20.5%-26.9%]) and for boys aged 3 to 6 years in western China (from 18.1% [95% CI, 10.4%-29.4%] to 28.6% [95% CI, 14.3%-49.0%]). Boys had a higher prevalence than girls of obesity only in eastern and northern China, with a mean difference in prevalence of 4.6% (95% CI, 3.8%-5.4%) and 7.6% (95% CI, 6.5%-8.6%), respectively. Conclusions and Relevance: In this survey study, substantial geographic disparities in the prevalence of obesity and overweight were found among the heterogeneous population of Chinese children. The results suggest that special attention should be paid to vulnerable children and that regionally adapted interventions are needed to efficiently mitigate obesity in children.

Indexed as

Health Status DisparitiesAdolescentBody Mass IndexChildChild, PreschoolChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMalePediatric Obesity

Identifiers

PMID34698846
PMCPMC8548942

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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.