Does Work-Family Conflict Predict Allostatic Load? A 4-Year Longitudinal Study
-
2025/12/01
Details
-
Journal Article:Postgraduate Medical Journal
-
Personal Author:
-
Description:Objective: A growing number of studies have reported that occupational psychosocial factors increase the risk of cardiovascular disease. Allostatic load (AL) is a main biological mechanism that explains the pathway from stress to disease. This study examined whether work-to-family conflict (WFC) and family-to-work conflict (FWC) at baseline would be associated with changes in the AL index (ALI) across four years. Methods: We used the Midlife in Japan survey, Wave I, and the biomarker projects, Waves I and II. This study included 152 participants with paid jobs and variables of interest at baseline and target biomarkers at baseline and follow-up. We examined the four-year longitudinal changes in the ALI using two methods: comparing ALI scores at baseline and follow-up, named "Two ALI approach," and creating one ALI score considering changes at baseline and follow-up, named "One ALI approach." Negative binomial regression analysis and generalized estimating equations were used for analyses. The results were reported by count ratios (CRs) and 95% confidence intervals (CIs). Results: In the final model, our results demonstrated that WFC at baseline was significantly associated with increased ALI using the "Two ALI approach" (CR 1.15, 95% CIs: 1.03, 1.28) and "One ALI approach" (CR 1.15, 95% CIs: 1.01, 1.32), whereas FWC did not show statistical significance in both methods. Conclusions: WFC was longitudinally associated with increased ALI. It is crucial to mitigate the effects of work-to-family conflict.
-
Subjects:
-
Keywords:
-
Source:Postgrad Med J 2025 Dec; 101(1202):1303-1310
-
ISSN:0032-5473
-
Document Type:
-
Funding:
-
Genre:
-
Place as Subject:
-
CIO:
-
Topic:
-
Location:
-
Pages in Document:8 pdf pages
-
Volume:101
-
Issue:1202
-
NIOSHTIC Number:nn:20071245
-
Contact Point Address:Jian Li, Departments of Environmental Health Sciences and Epidemiology, Fielding School of Public Health, School of Nursing, University of California Los Angeles, 650 Charles E Young Dr. S, Los Angeles 90095, CA, United States
-
Email:jianli2019@ucla.edu
-
Federal Fiscal Year:2026
-
Performing Organization:University of California Los Angeles
-
Peer Reviewed:True
-
Start Date:20050701
-
End Date:20270630
-
Collection(s):
-
Main Document Checksum:urn:sha-512:2807e49e9812a07f468465b1434ecbd627016eddd177198d5bb0f0e11f1de911c3dfb8a8a7ddd11c0843f5f60981fc48eb34630d381739964ff42e6c11e87d0d
-
Download URL:
-
File Type:
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like