Evidence map›Paper›PMID 33302604›Full record

ArticleInternational journal of environmental research and public health2020

Mandatory Physical Education Classes of Two Hours per Week Can Be Comparable to Losing More than Five Kilograms for Chinese College Students.

Dawei Bao, Zixiang Xiao, Yuanyuan Zhang, Gang Chen, Xinyu Miao, Bo Wang, Jing Li, Chi Xu, Shuqing N Teng

Abstract read
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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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Dawei BaoDepartment of Physical Education, Nanjing University, Nanjing 210023, China.
Zixiang XiaoSchool of Life Sciences, Nanjing University, Nanjing 210023, China.
Yuanyuan ZhangSchool of Life Sciences, Nanjing University, Nanjing 210023, China.ORCID 0000-0001-5809-3391
Gang ChenDepartment of Physical Education, Nanjing University, Nanjing 210023, China.
Xinyu MiaoSchool of Life Sciences, Nanjing University, Nanjing 210023, China.
Bo WangSchool of Life Sciences, Nanjing University, Nanjing 210023, China.
Jing LiSchool of Life Sciences, Nanjing University, Nanjing 210023, China.
Chi XuSchool of Life Sciences, Nanjing University, Nanjing 210023, China.
Shuqing N TengSchool of Life Sciences, Nanjing University, Nanjing 210023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite releases of governmental guidelines for promoting physical fitness among the youth in China, the performance of college students in fitness tests has been declining over the past three decades. Obesity and physical inactivity have been proposed as two main causes. However, their relative importance for improving physical fitness remains unclear. To address this knowledge gap, we collected longitudinal data spanning four consecutive years on the physical fitness test for students from Nanjing University, China. Physical education classes of two hours per week were mandatory for the first two years. Using mixed effects models, we quantify the within-subject effects of weight, muscular endurance, sex, and mandatory physical education courses, among other variables, on physical fitness total score. We found that, in spite of the dominance of normal weight among the students, losing weight was positively associated with the total score, with significant sex differences in the associations. Compulsory exercise provided by physical education classes per week had strong positive impacts on the total score, comparable to losing weight of roughly 15-17 kg for males and 5-10 kg for females. Half sex difference in the total score was explained by male students' poor performance in the muscular endurance represented by pull-ups. Our results suggest that college students in China should engage in physical activity of higher levels to improve their physical fitness, with a heightened awareness of extra fat under normal weight and insufficient muscular endurance.

Indexed as

CurriculumHealth PromotionPhysical Education and TrainingPhysical FitnessAdolescentBayes TheoremChinaExerciseFemaleHumansLongitudinal StudiesMaleSex FactorsStudentsinstitutional interventionsmuscular endurancephysical fitness testsphysical inactivitysex differenceswithin-subject effects

Identifiers

PMID33302604
PMCPMC7763176

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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.