Evidence map›Paper›PMID 32231112›Full record

ArticleInternational journal of environmental research and public health2020

Differences in Lifestyle Behaviours of Students between Inner Urban and Peri-urban High Schools: A Cross-Sectional Study in Chongqing, China.

Zhengjie Cai, Ziwei Zhang, Mao Zeng, Jinli Xian, Xun Lei, Yong Zhao

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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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

6 authors.

Zhengjie CaiSchool of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
Ziwei ZhangThe Second Clinical College, Chongqing Medical University, Chongqing 400016, China.
Mao ZengSchool of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
Jinli XianSchool of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
Xun LeiSchool of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
Yong ZhaoSchool of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.ORCID 0000-0001-9290-109X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLifestyle behaviours of students from schools in different socioeconomic areas may be different. Few studies have investigated such topics in China. This study aimed to explore the differences in lifestyle behaviours between inner urban high school students (IUHSSs) and peri-urban high school students (PUHSSs).

methodsA cross-sectional survey based on a self-report questionnaire was administered among 1560 high school students (726 from inner urban high schools and 834 from peri-urban high schools) in Chongqing, China. Physical activity, sleep time, screen time and dietary behaviours were assessed according to a series of recommendations of Chinese guidelines.

resultsNo significant difference was found in meeting the recommendation for daily physical activity between IUHSSs and PUHSSs (7.6% vs. 6.8%,

conclusionsA low proportion met the recommendations of physical activity, weekdays' sleep time and weekends' screen time among high school students in Chongqing, China. Lifestyle behaviours may differ between inner urban and peri-urban high school students. Additional support or targeted health education should be provided by high schools to improve the lifestyle behaviours of students, especially in inner urban districts.

Indexed as

Adolescent BehaviorLife StyleSchoolsStudentsAdolescentChinaCross-Sectional StudiesDietExerciseFemaleHumansMaleScreen TimeSleephigh school studentinner-urbanlifestyle behaviourperi-urban

Identifiers

PMID32231112
PMCPMC7177544

What OpenQuestion holds

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LicenceCC BY
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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.