Evidence map›Paper›PMID 37081956›Full record

ArticleFrontiers in public health2023

The health benefits of bicycling to school among adolescents in China: A propensity score matching study.

Pengxiang Ding, Chang Ding, Suwei Feng

Abstract read
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Article in Frontiers in public health, 2023. 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
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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

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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

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5 · Who and what money

Authors and funding

3 authors.

Pengxiang DingSchool of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai, China.
Chang DingSchool of Science and Information, Qingdao Agricultural University, Qingdao, China.
Suwei FengSchool of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A large number of high-income countries are now promoting active commuting to school as an opportunity for adolescents to increase physical activity (PA) and improve their health. Few studies have examined the multiple benefits of active travel to school among adolescents in developing countries, especially in China. Hence, this study aims to estimate the effects of bicycling to school on adolescents' subjective health, physical health, and sickness absence. Methods: Self-reported and cross-sectional data from 6,353 school-aged children (12-19 years old) in the 2014-2015 China Education Panel Survey (CEPS2014-2015) were used. The independent variable was a binary, self-reported indicator of whether children bicycled to school. The dependent variables included subjective health (self-reported health, mental stress), physical health (BMI, kidney disease, lung disease, heart disease, brain disease, upper limb fracture, lower limb fracture, and sickness frequency), and sickness absence. Propensity score matching (PSM) was used to estimate the causal effects of bicycling to school on adolescents' health. Results: Bicycling to school positively affects both subjective and physical health. Those students who biked to school were associated with a higher self-rated health status, a healthier weight, a lower level of mental stress, and a lower risk of developing brain diseases. No significant relation is found between bicycling and sickness frequency, and sickness absence. Moreover, we separately compared the bicycling group with the walking group and the non-active travel group. There is still evidence that cycling is beneficial for students. Compared with walking to school, cycling to school resulted in a higher self-rated health score and a lower mental stress score. Physically, students who bicycled to school were less likely to be absent from school and suffer from kidney and brain diseases than students who walked to school. However, we do not find a significant difference in health outcomes from cycling compared to non-active modes of transportation. Further, differentiation of the health effects of bicycling across living areas shows that health effects are more pronounced for those living in edge and rural areas. Conclusion: These findings provide evidence of the value of promoting bicycling to school in improving various adolescents' health outcomes in transitional China.

Indexed as

BicyclingWalkingAdolescentAdultChildCross-Sectional StudiesHumansPropensity ScoreSchoolsYoung Adultadolescentsbicycling to schoolobjective healthsickness absencesubjective health

Identifiers

PMID37081956
PMCPMC10110905

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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.