Evidence map›Paper›PMID 37665226›Full record

ArticleScandinavian journal of work, environment & health2023

Long working hours and all-cause mortality in China: A 26-year follow-up study.

Yeen Huang, Yingping Xiang, Wei Zhou, Guanpeng Li, Chengzhi Zhao, Di Zhang, Shenying Fang

Abstract read
In one paragraph

Article in Scandinavian journal of work, environment & health, 2023. 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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Working hours and health - key research topics in the past and future.Scandinavian journal of work, environment & health · 2024
    Review
  7. Article
  8. Working hours and cardiovascular disease.Scandinavian journal of work, environment & health · 2024
    Article
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

7 authors.

Yeen Huang
Yingping Xiang
Wei Zhou
Guanpeng Li
Chengzhi Zhao
Di Zhang
Shenying FangSchool of Public Health and Emergency Management, Southern University of Science and Technology, No. 1088, Xueyuan Avenue, Nanshan District, Shenzhen, Guangdong Province, China. fangsy@sustech.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe relationship between long working hours and the risk of mortality has been debated in various countries. This study aimed to investigate the association between long working hours and all-cause mortality in a large population-based cohort in China.

methodsThis retrospective cohort study (N=10 269) used a large, nationally representative data set [the China Health and Nutrition Surveys (CHNS)] from 1989 to 2015. Long working hours (≥55 hours per week) were compared to standard working hours (35-40 hours per week). The outcome measure was all-cause mortality. Hazard ratio (HR) for all-cause mortality was calculated from Cox proportional hazards regression models, with stratified analyses to assess differences in mortality risk among subgroups.

resultsAmong the participants, 411 deaths (3.52 per 1000 person-years) occurred during a median follow-up of 11.0 (range 4.0-18.0) years. After adjusting for covariates, long working hours were associated with a significantly increased risk of all-cause mortality [HR 1.49, 95% confidence intervals (CI) 1.02-2.18]. Stratified analyses revealed that this association was present only among men (HR 1.78, 95% CI 1.15-2.75) and smoking participants (HR 1.57, 95% CI 1.05-2.57).

conclusionThis study provides evidence of an association between long working hours and all-cause mortality, which is specifically observed among men and smokers. Targeted interventions should be implemented to reduce excessive working hours and identify individuals at elevated risk, with support from labor organizations, policymakers, and employers.

Indexed as

SmokingChinaFollow-Up StudiesHumansMaleRetrospective StudiesRisk Factors

Identifiers

PMID37665226
PMCPMC10857867

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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.