Evidence map›Paper›PMID 37139369›Full record

ArticleFrontiers in public health2023

Overtime work, job autonomy, and employees' subjective well-being: Evidence from China.

Shusheng Yang, Lijuan Chen, Xianjin Bi

Open access · goldAbstract read
In one paragraph

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 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
9.7field-weighted citation impact, top 2% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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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

3 authors at 3 institutions in 1 country.

Shusheng YangSchool of Humanities and Foreign Languages, Qingdao University of Technology, Qingdao, Shandong, China.
Lijuan ChenHigh-Quality Development Evaluation Institute, Nanjing University of Posts and Telecommunications, Nanjing, China.
Xianjin BiCollege of Public Administration, Shandong Agricultural University, Taian, Shandong, China.
Nanjing University of Posts and Telecommunications · CNQingdao University of Technology · CNShandong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Chinese workers suffer more from overtime than in many countries. Excessive working hours can crowd out personal time and cause work-family imbalance, affecting workers' subjective well-being. Meanwhile, self-determination theory suggests that higher job autonomy may improve the subjective well-being of employees. Methods: Data came from the 2018 China Labor-force Dynamics Survey (CLDS 2018). The analysis sample consisted of 4,007 respondents. Their mean age was 40.71 (SD = 11.68), and 52.8% were males. This study adopted four measures of subjective well-being: happiness, life satisfaction, health status, and depression. Confirmation factor analysis was employed to extract the job autonomy factor. Multiple linear regression methods were applied to examine the relationship between overtime, job autonomy, and subjective well-being. Results: Overtime hours showed weak association with lower happiness ( Conclusion: While overtime had a minimal negative effect on individual subjective well-being, involuntary overtime significantly enlarged it. Improving individual's job autonomy is beneficial for individual subjective well-being.

Indexed as

EmploymentWorkloadAdultChinaFemaleHealth StatusHumansMaleSurveys and QuestionnairesChinainvoluntary overtimejob autonomyovertime worksubjective well-being

Identifiers

PMID37139369
PMCPMC10150698
OpenAlexW4366084661

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.