Evidence map›Paper›PMID 34877733›Full record

ArticleJournal of occupational health2021

A cross-sectional study on perceived workplace health support and health-related quality of life.

Kazushirou Kurogi, Kazunori Ikegami, Hisashi Eguchi, Mayumi Tsuji, Seiichiro Tateishi, Tomohisa Nagata, Shinya Matsuda, Yoshihisa Fujino, Akira Ogami, CORoNaWork Project

Erratum issuedAbstract read
In one paragraph

Article in Journal of occupational health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Kazushirou KurogiDepartment of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan.
Kazunori IkegamiDepartment of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan.ORCID https://orcid.org/0000-0001-5486-8639
Hisashi EguchiDepartment of Mental Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan.
Mayumi TsujiDepartment of Environmental Health, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Seiichiro TateishiDepartment of Occupational Medicine, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.ORCID https://orcid.org/0000-0002-9774-6479
Tomohisa NagataDepartment of Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan.ORCID https://orcid.org/0000-0001-9173-420X
Shinya MatsudaDepartment of Public Health, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Yoshihisa FujinoDepartment of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan.ORCID https://orcid.org/0000-0002-9126-206X
Akira OgamiDepartment of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan.ORCID https://orcid.org/0000-0002-4940-3818
CORoNaWork Project

Funding

Anshin ZaidanChugai Pharmaceutical Co., LtdCollabo-Health Study GroupHitachi Systems LtdJapanese Ministry of Health, Labour and Welfare 19JA1004Japanese Ministry of Health, Labour and Welfare 20HB1004Japanese Ministry of Health, Labour and Welfare 20JA1006Japanese Ministry of Health, Labour and Welfare 210301-1Japanese Ministry of Health, Labour and Welfare H30-josei-ippan-002Japanese Ministry of Health, Labour and Welfare H30-roudou-ippan-007University of Occupational and Environmental Health, Japan
6 · The paper itself

Abstract

objectiveMany companies in Japan have been increasingly interested in "health and productivity management (H&PM)." In terms of H&PM, we hypothesized that companies can enhance their employees' perceived workplace health support (PWHS) by supporting workers' lively working and healthy living. This could then improve their health-related quality of life (HRQOL) by increasing PWHS. Consequently, this study explored the relationship between PWHS and HRQOL.

methodsIn December 2020, during the COVID-19 pandemic, we conducted an Internet-based nationwide health survey of Japanese workers (CORoNaWork study). A database of 27 036 participants was created. The intensity of PWHS was measured using a four-point Likert scale. We used multilevel ordered logistic regression to analyze the relationship between PWHS intensity and the four domains of the Centers for Disease Control's HRQOL-4 (self-rated health, number of poor physical health days, number of poor mental health days, and activity limitation days during the past 30 days).

resultsIn the sex- and age-adjusted and multivariate models, the intensity of PWHS significantly affected self-rated health and the three domains of unhealthy days (physical, mental, and activity limitation). There was also a trend toward worse HRQOL scores as the PWHS decreased.

conclusionsWe found that the higher the PWHS of Japanese workers, the higher their self-rated health and the fewer their unhealthy days. Companies need to assess workers' PWHS and HRQOL and promote H&PM. H&PM is also necessary to maintain and promote the health of workers during the COVID-19 pandemic.

Indexed as

COVID-19Occupational HealthPandemicsQuality of LifeWorkplaceCross-Sectional StudiesHumansCOVID-19health and productivity managementhealth-related quality of lifeperceived workplace health support

Identifiers

PMID34877733
PMCPMC8652405

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.