Evidence map›Paper›PMID 40930809›Full record

ArticleIndustrial health2026

Mental health status and its associations with psychosocial working conditions among platform delivery workers in China: comparative analyses of migrant status.

Mengling He, Ming-Wei Lin, Yawen Cheng

Abstract readComparative Study
In one paragraph

Article in Industrial health, 2026. 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

3 authors.

Mengling HeInstitute of Health Policy and Management, College of Public Health, National Taiwan University, Taiwan.
Ming-Wei LinInstitute of Health Policy and Management, College of Public Health, National Taiwan University, Taiwan.
Yawen ChengInstitute of Health Policy and Management, College of Public Health, National Taiwan University, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid expansion of delivery labor platforms in China has driven many people to move from rural to urban areas. Previous studies indicated that platform-based delivery work can be demanding, subject to algorithmic control, and lacking employment protections. While migrant workers are more likely to be exposed to adverse psychosocial working conditions and more vulnerable due to limited social services, few studies have examined the role of migrant status in mental health and its associations with psychosocial working conditions among platform delivery workers. This study employed a cross-sectional online survey to compare the mental health status of platform delivery workers in China and the associations with psychosocial working conditions by migrant status. Of the 923 delivery workers surveyed, 492 (53.3%) were rural-to-urban migrants. The findings indicated that rural-to-urban migrant delivery workers experienced high levels of mental disorders and burnout. Regression analyses revealed that workplace violence and high job demands were significantly associated with mental disorders and high burnout, and these associations were more pronounced among rural-to-urban migrant workers. Greater attention should be paid to this growing urban workforce, and context-specific interventions are essential to protect their mental health and wellbeing.

Indexed as

Mental DisordersMental HealthTransients and MigrantsWorkplaceAdultBurnout, ProfessionalChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRural PopulationSurveys and QuestionnairesUrban PopulationWorking ConditionsChinaMental healthMigrant statusPlatform delivery workersWorkplace violence

Identifiers

PMID40930809
PMCPMC12989270

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.