Evidence map›Paper›PMID 39261023›Full record

ArticleIndustrial health2024

Associations of work-family conflict with changes in metabolic risk factors: a four-year longitudinal study.

Mayumi Saiki, Wendie Robbins, Dante Anthony Tolentino, Paul M Macey, Akinori Nakata, Jian Li

Abstract read
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In one paragraph

Article in Industrial health, 2024. 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. Review
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.

Mayumi SaikiSchool of Nursing, University of California Los Angeles, USA.
Wendie RobbinsSchool of Nursing, University of California Los Angeles, USA.
Dante Anthony TolentinoSchool of Nursing, University of California Los Angeles, USA.
Paul M MaceySchool of Nursing, University of California Los Angeles, USA.
Akinori NakataGraduate School of Medicine, International University of Health and Welfare, Japan.
Jian LiSchool of Nursing, University of California Los Angeles, USA.

Funding

NIOSH CDC HHS T42 OH008412
6 · The paper itself

Abstract

Cardiovascular disease (CVD) is becoming prevalent among younger people who have dual roles at both work and home. A possible contributor to CVD is conflict between work and home life. Thus, this study investigated the impact of work-to-family conflict (WFC) and family-to-work conflict (FWC) on metabolic risk factors. We used longitudinal data with a 4-yr interval from the Midlife in Japan study. 152 participants who were employed at baseline without missing variables of interest were included. We assessed the associations of baseline WFC and FWC with changes in metabolic risk factors between baseline and follow-up using Generalized Estimating Equations. After adjusting for baseline sociodemographic, work and family-related, and lifestyle factors, the fully adjusted model showed WFC was significantly associated with changes in low-density lipoprotein cholesterol (LDL-C) and Total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-C) ratio. However, FWC was not significantly associated with changes in any metabolic risk factors. Our findings indicated a significant impact of WFC on LDL-C and TC/HDL-C ratio but no significant impact of FWC on metabolic health. Since these metabolic risk factors cause CVD, understanding the physiological responses to occupational psychosocial stress could help create primary prevention interventions and assess their effects on workers' metabolic health.

Indexed as

Cardiovascular DiseasesAdultCholesterol, HDLCholesterol, LDLFamily ConflictFemaleHumansJapanLongitudinal StudiesMaleMiddle AgedRisk FactorsWork-Life BalanceCholesterol, HDLCholesterol, LDLCardiometabolic risk factorsCholesterolLongitudinal studyOccupational stressWork-family conflict

Identifiers

PMID39261023
PMCPMC11611536

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.