Evidence map›Paper›PMID 39951427›Full record

ArticlePloS one2025

Impact of overwork on self-assessed health of rural-to-urban migrants: Limitations of work incentives moderation effect and industry heterogeneity.

Zhaoxin Huo, Ya Wang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Zhaoxin HuoSchool of Labor Economics, Capital University of Economics and Business, Beijing, China.ORCID 0009-0009-1425-1699
Ya WangSchool of Tourism Management, South China Normal University, Guangzhou, China.ORCID 0009-0004-6377-9100

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overwork is widely recognized as harmful to workers' physical and mental health, yet studies focusing on income-driven rural-to-urban migrants are lacking. This research aims to explore the effects of working hours on the health of rural-to-urban migrants in China, examining the moderating role of work incentives and industry heterogeneity. Using 2018 China Labor-force Dynamics Survey (CLDS) data, we analyzed 3,475 valid samples with a binary logit model, categorizing working hours into comfortable work, tolerable work, moderate overwork, and severe overwork. Interaction and subgroup regression models were employed to examine the moderating effects of work incentives across industries. The results indicate that comfortable work does not improve health, while moderate overwork is harmful, with severe overwork having a greater negative impact. This effect is stronger for rural-to-urban migrants in capital-intensive industries compared to labor-intensive industries. Work incentives only mitigate health damage from overwork in labor-intensive sectors, but this effect disappears under severe overwork across all industries. This study contributes by highlighting the unique health impacts of overwork on income-driven rural-to-urban migrants and revealing the limitations of work incentives and industry differences, offering new insights into the relationship between employment and health.

Indexed as

Transients and MigrantsAdultChinaEmploymentFemaleHealth StatusHumansMaleMiddle AgedMotivationRural PopulationSurveys and QuestionnairesUrban Population

Identifiers

PMID39951427
PMCPMC11828385

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.