Evidence map›Paper›PMID 30793826›Full record

ArticleJournal of occupational health2019

Association between working hours, work engagement, and work productivity in employees: A cross-sectional study of the Japanese Study of Health, Occupation, and Psychosocial Factors Relates Equity.

Emi Okazaki, Daisuke Nishi, Ryoko Susukida, Akiomi Inoue, Akihito Shimazu, Akizumi Tsutsumi

Abstract read
In one paragraph

Article in Journal of occupational health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  11. Study for the Design of a Protocol to Assess the Impact of Stress in the Quality of Life of Workers.International journal of environmental research and public health · 2021
    Article
  12. Technology as a coping tool during the coronavirus disease 2019 (COVID-19) pandemic: Implications and recommendations.Stress and health : journal of the International Society for the Investigation of Stress · 2020
    Review
  13. 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

6 authors.

Emi OkazakiDepartment of Mental Health Policy, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.ORCID https://orcid.org/0000-0002-1720-4048
Daisuke NishiDepartment of Mental Health Policy, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.ORCID https://orcid.org/0000-0001-9349-3294
Ryoko SusukidaDepartment of Mental Health Policy, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.ORCID https://orcid.org/0000-0003-0444-5368
Akiomi InoueDepartment of Public Health, Kitasato University School of Medicine, Sagamihara, Japan.ORCID https://orcid.org/0000-0002-4079-0719
Akihito ShimazuCenter for Human and Social Sciences, College of Liberal Arts and Sciences, Kitasato University, Sagamihara, Japan.ORCID https://orcid.org/0000-0002-7172-0043
Akizumi TsutsumiDepartment of Public Health, Kitasato University School of Medicine, Sagamihara, Japan.ORCID https://orcid.org/0000-0003-0966-4869

Funding

Ministry of Education, Culture, Sports, Science and Technology, Japan 26253042Ministry of Health, Labour and Welfare, Japan
6 · The paper itself

Abstract

objectivesThe aims of the study were to investigate the association between working hours, work engagement, and work productivity, and to examine if work engagement moderates the influence of working hours on work productivity.

methodsWe used cross-sectional data from the Japanese occupational cohort survey, which involved 2093 employees in a manufacturing industry. Working hours were self-reported by the study participants. Work productivity was assessed with absolute presenteeism based on the scale of the validated Japanese version of World Health Organization Health and Work Performance Questionnaire (WHO-HPQ). Work engagement was assessed with the Nine-item Utrecht work Engagement Scale (UWES-9). Univariate and multivariable regression analyses were conducted to examine the association of working hours and work engagement with work productivity. We also carried out stratified multivariable regression analysis separately for those with high-work engagement and those with low-work engagement.

resultsWorking >40 to 50 hours per week and >50 hours per week were significantly positively associated with work productivity in univariate analysis. However, the significant association no longer held after adjusting for work engagement. Work engagement was positively associated with work productivity even after controlling for potential confounders. Working hours were not significantly associated with work productivity among those with high-work engagement or among those with low-work engagement.

conclusionsWorking hours did not have any significant associations with work productivity when taking work engagement into account. Work engagement did not moderate the influence of working hours on work productivity, though it attenuated the relationship between working hours and work productivity.

Indexed as

EfficiencyWork EngagementAdultAgedCross-Sectional StudiesFemaleHumansJapanMaleMiddle AgedMultivariate AnalysisPersonnel Staffing and SchedulingPresenteeismRegression AnalysisSurveys and QuestionnairesTime Factorswork engagementworking hourswork productivity

Identifiers

PMID30793826
PMCPMC6499355

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.