Evidence map›Paper›PMID 36600714›Full record

ArticleFrontiers in psychology2022

Where is the limit for overtime? Impacts of overtime on employees' mental health and potential solutions: A qualitative study in China.

Jiaoyang Yu, Stavroula Leka

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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 at 2 institutions in 3 countries.

Jiaoyang YuSchool of Education, Taiyuan Normal University, Jinzhong, China.
Stavroula LekaBusiness School, University College Cork, Cork, Ireland.
Taiyuan Normal University · CNUniversity College Cork · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although Labor Law of the People's Republic of China stipulates the overtime system, overtime is still widespread in the IT industry. Through qualitative interviews, we explored the impact of overtime on employees' mental health and life. The current study identified four main themes, namely overtime reasons, outcomes of overtime, influential factors and solutions to overtime challenges. Besides work-related reasons and cultural influence, it was found that employees may work overtime due to personal reasons, such as capability and personal qualities; the most frequent impacts reported were fatigue, depression, stress and interference with life; three predominant influential factors were timing of overtime, control and rewards; and overtime conditions could be improved in practical and emotional ways. The study's findings highlight the importance of the design of flexible working time arrangements for avoiding fatigue and improving employees' work-life balance, enhancement of schedule arrangement for avoiding daily work interruption and last-minute tasks, and optimization of rewarding systems for avoiding complaints and facilitating voluntary overtime. Results suggest that mental health and work-life balance can be promoted by organizational initiatives focusing on minimizing excessive job demands, increasing psychosocial resources, supporting boundary management, and enhancing perceived flexibility.

Indexed as

mental healthovertime reasonsrewardvoluntary and involuntary overtimeworktime control

Identifiers

PMID36600714
PMCPMC9806229
OpenAlexW4313389545

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.