Evidence map›Paper›PMID 38745972›Full record

ArticleThe Lancet regional health. Western Pacific2024

Urban-rural differences in the association between occupational physical activity and mortality in Chinese working population: evidence from a nationwide cohort study.

Jie Li, Xiao Zhang, Mei Zhang, Lijun Wang, Peng Yin, Chun Li, Jinling You, Zhengjing Huang, Marie Ng, Limin Wang and 1 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

8 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

11 authors.

Jie LiSchool of Public Health, Capital Medical University, Beijing, China.
Xiao ZhangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Mei ZhangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Lijun WangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Peng YinNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Chun LiNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jinling YouNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhengjing HuangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Marie NgYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Limin WangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Maigeng ZhouNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite emerging studies suggesting that occupational physical activity (OPA) might be harmful to health, the available evidence is not definitive. Most of these research studies were conducted in high-income Western countries or in urbanized setting. In China, where over one-third of the population resides in rural area, the impact of OPA on health is not well understood. The goal of this study is to investigate how the association between OPA and mortality vary by urban-rural settings. Methods: Baseline data on OPA was gathered using the Global Physical Activity Questionnaire from 30,650 urban and 49,674 rural working adults as part of the 2013-2014 China Chronic Disease and Risk Factor Surveillance. Participants were followed for a median of 6.2 years, and death records were retrieved from the National Mortality Surveillance System until December 31, 2019. The multivariable Cox proportional hazard model was used to examine urban-rural differences in the association between OPA and all-cause and cardiovascular disease (CVD) mortality. Subgroup analyses were performed by sex, socioeconomic status, leisure time, transportation, and non-occupational physical activity. Findings: During the study period, 1342 deaths were recorded, of which 426 were caused by CVD. In rural area, working adults engaging in occupational moderate-to-vigorous physical activity (MVPA) for ≥40 h per week, compared to those without any, had an adjusted hazard ratio of 0.60 (95% CI: 0.49-0.73) for all-cause mortality and 0.55 (95% CI: 0.37-0.83) for CVD mortality. However, no significant association was found in urban area (0.84 [0.61-1.15] for all-cause mortality, P Interpretation: The findings from the current study did not support the notion that high levels of OPA would induce harm. On the contrary, in rural setting, higher levels of OPA were associated with lower mortality risks. Furthermore, the observed urban-rural differences in the association between OPA and mortality underscored the need for context-specific public health guidelines on physical activities. Funding: R&D Program of Beijing Municipal Education Commission (KM202210025026),National Key Research and Development Program of China (2021YFC2500201), and Young Elite Scientist Sponsorship Program by BAST (BYESS2023385).

Indexed as

ChinaMortalityOccupational physical activityUrban-rural difference

Identifiers

PMID38745972
PMCPMC11091516

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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.