Evidence map›Paper›PMID 33879822›Full record

ArticleScientific reports2021

Physical activity, screen exposure and sleep among students during the pandemic of COVID-19.

Yang-Feng Guo, Min-Qi Liao, Wei-Li Cai, Xiao-Xuan Yu, Shu-Na Li, Xing-Yao Ke, Si-Xian Tan, Ze-Yan Luo, Yun-Feng Cui, Qian Wang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 2 pooled it
22.5field-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

65 citing papers in PubMed, 2 syntheses or guidelines pooled it, 177 citations in OpenAlex.

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5 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

15 authors at 5 institutions in 1 country.

Yang-Feng GuoDepartment of Common Chronic Disease Control and Prevention, Health Promotion Centre for Primary and Secondary Schools of Guangzhou Municipality, Guangzhou, 510630, China.
Min-Qi LiaoDepartment of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510630, China.
Wei-Li CaiDepartment of Common Chronic Disease Control and Prevention, Health Promotion Centre for Primary and Secondary Schools of Guangzhou Municipality, Guangzhou, 510630, China.
Xiao-Xuan YuDepartment of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510630, China.
Shu-Na LiDepartment of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510630, China.
Xing-Yao KeDepartment of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510630, China.
Si-Xian TanDepartment of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510630, China.
Ze-Yan LuoDepartment of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510630, China.
Yun-Feng CuiDepartment of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510630, China.
Qian WangDepartment of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510630, China.
Xu-Ping GaoDepartment of Child & Adolescent Psychiatry, National Clinical Research Centre for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Peking University Sixth Hospital (Institute of Mental Health), No.51 Huayuan Bei Road, Beijing, 100191, China.
Jun LiuPreventive Medicine Experimental Teaching Centre, Zunyi Medical University, No.6 Xuefu West Road, Zunyi, 564699, Guizhou Province, China.
Yan-Hua LiuDepartment of Nutrition, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Sui ZhuDepartment of Medical Statistics, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510630, China.
Fang-Fang ZengDepartment of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510630, China. zengffjnu@126.com.
Jinan University · CNGuangzhou Center for Disease Control and Prevention · CNFirst Affiliated Hospital of Zhengzhou University · CNPeking University Sixth Hospital · CNZunyi Medical University · CN

Funding

National Natural Science Foundation of China 81602853
6 · The paper itself

Abstract

This study aimed to determine the levels of health-related behaviours (physical activity, screen exposure and sleep status) among Chinese students from primary, secondary and high schools during the pandemic of COVID-19, as well as their changes compared with their status before the pandemic. A cross-sectional online survey of 10,933 students was conducted among 10 schools in Guangzhou, China, between 8th and 15th March, 2020. After getting the informed consent from student's caregivers, an online questionnaire was designed and used to obtain time spending on health-related behaviours during the pandemic of COVID-19, as well as the changes compared with 3 months before the pandemic, which was completed by students themselves or their caregivers. Students were stratified by regions (urban, suburban, exurban), gender (boys and girls), and grades (lower grades of primary school, higher grades of primary schools, secondary schools and high schools). Data were expressed as number and percentages and Chi-square test was used to analyse difference between groups. Overall, the response rate of questionnaire was 95.3% (10,416/10,933). The median age of included students was 13.0 (10.0, 16.0) years and 50.1% (n = 5,219) were boys. 41.4%, 53.6% and 53.7% of total students reported less than 15 min per day in light, moderate and vigorous activities and 58.7% (n = 6,113) reported decreased participation in physical activity compared with the time before pandemic. Over 5 h of screen time spending on online study was reported by 44.6% (n = 4,649) of respondents, particular among high school students (81.0%). 76.9% of students reported increased screen time compared with the time before pandemic. Inadequate sleep was identified among 38.5% of students and the proportion was highest in high school students (56.9%). Our study indicated that, during the COVID-19 pandemic, the school closure exerted tremendous negative effects on school-aged children's health habits, including less physical activity, longer screen exposure and irregular sleeping pattern.

Indexed as

Screen TimeAdolescentChildChinaCOVID-19Cross-Sectional StudiesExerciseFemaleHumansMalePandemicsSleep DeprivationStudentsSurveys and Questionnaires

Identifiers

PMID33879822
PMCPMC8058040
OpenAlexW3154826625

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.