Evidence map›Paper›PMID 30767780›Full record

ArticleBMC public health2019

Physical activity, screen viewing time, and overweight/obesity among Chinese children and adolescents: an update from the 2017 physical activity and fitness in China-the youth study.

Zheng Zhu, Yan Tang, Jie Zhuang, Yang Liu, Xueping Wu, Yujun Cai, Lijuan Wang, Zhen-Bo Cao, Peijie Chen

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed
20.2field-weighted citation impact, top 1% of its field
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

122 citing papers in PubMed, 203 citations in OpenAlex.

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  3. Implementation of Brain BreaksInternational journal of environmental research and public health · 2021
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62 more citing papers are in PubMed but not listed here.

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

9 authors at 1 institution in 1 country.

Zheng ZhuShanghai Research Center for Physical Fitness and Health of Children and Adolescents, Shanghai University of Sport, 399 Chang Hai Road, Shanghai, 200438, China.
Yan TangShanghai Research Center for Physical Fitness and Health of Children and Adolescents, Shanghai University of Sport, 399 Chang Hai Road, Shanghai, 200438, China.
Jie ZhuangShanghai Research Center for Physical Fitness and Health of Children and Adolescents, Shanghai University of Sport, 399 Chang Hai Road, Shanghai, 200438, China.
Yang LiuShanghai Research Center for Physical Fitness and Health of Children and Adolescents, Shanghai University of Sport, 399 Chang Hai Road, Shanghai, 200438, China.
Xueping WuShanghai Research Center for Physical Fitness and Health of Children and Adolescents, Shanghai University of Sport, 399 Chang Hai Road, Shanghai, 200438, China.
Yujun CaiShanghai Research Center for Physical Fitness and Health of Children and Adolescents, Shanghai University of Sport, 399 Chang Hai Road, Shanghai, 200438, China.
Lijuan WangShanghai Research Center for Physical Fitness and Health of Children and Adolescents, Shanghai University of Sport, 399 Chang Hai Road, Shanghai, 200438, China.
Zhen-Bo CaoShanghai Research Center for Physical Fitness and Health of Children and Adolescents, Shanghai University of Sport, 399 Chang Hai Road, Shanghai, 200438, China.
Peijie ChenShanghai Research Center for Physical Fitness and Health of Children and Adolescents, Shanghai University of Sport, 399 Chang Hai Road, Shanghai, 200438, China. chenpeijie@sus.edu.cn.
Shanghai University of Sport · CN

Funding

the Key Project of the National Social Science Foundation of China 16ZDA227
6 · The paper itself

Abstract

backgroundWith increases in inactive lifestyles and mounting pressure for academic excellence in Chinese younger populations, lack of physical activity and increased prevalence of obesity have become a major public health concern in China. The purpose of this study is to provide updated estimates on the prevalence of meeting moderate-vigorous physical activity (MVPA) and screen viewing time guidelines, and overweight and obesity among Chinese school-aged children and adolescents, with a secondary aim examining variations in prevalence by sex, grade groupings, and residential location.

methodsThe study sample came from the 2017 Physical Activity and Fitness in China-The Youth Study, a cross-sectional and national survey of 131,859 students (aged 7 to 19 years) from 986 public schools in China. Measures of MVPA, screen viewing time, and age- and sex-specific overweight and obese body mass index were used to calculate national prevalence estimates of Chinese school-aged children and adolescents.

resultsIn 2017, 34.1% (95% confidence interval [CI], 34.09-34.11%) of children and adolescents met MVPA guidelines and 65.4% (95% CI, 65.39-65.41%) adhered to screen viewing time guidelines. The prevalence of overweight and obesity was 15.1% (95% CI, 15.09-15.11%) and 10.7% (95% CI, 10.69-10.71%), respectively. Prevalence estimates differed by sex (boys, girls), grade grouping (primary schools, junior middle schools, junior high schools), and residential location (rural, urban).

conclusionsThere remains a low prevalence of meeting MVPA guidelines and high prevalence of overweight and obesity in Chinese school-aged children and adolescents. Future efforts should focus on monitoring the trend of these behavioral and health risk factors to inform school policies and programs aimed at increasing physical activity and reducing and preventing obesity in younger populations in China.

Indexed as

ExerciseScreen TimeAdolescentAdultAge FactorsBody Mass IndexChildChinaCross-Sectional StudiesFemaleHumansMaleObesityOverweightPrevalenceRisk FactorsBody mass indexSedentary behaviorSurveillanceUnhealthy lifestyle

Identifiers

PMID30767780
PMCPMC6376726
OpenAlexW2911301429

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.