Evidence map›Paper›PMID 38262325›Full record

ArticleJournal of psychosomatic research2024

Negative work-to-family spillover stress and heightened cardiovascular risk biomarkers in midlife and older adults.

Andree Hartanto, K T A Sandeeshwara Kasturiratna, Meilan Hu, Shu Fen Diong, Verity Y Q Lua

Abstract read
In one paragraph

Article in Journal of psychosomatic research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  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

5 authors.

Andree HartantoSchool of Social Sciences, Singapore Management University, Singapore. Electronic address: andreeh@smu.edu.sg.
K T A Sandeeshwara KasturiratnaSchool of Social Sciences, Singapore Management University, Singapore.
Meilan HuSchool of Social Sciences, Singapore Management University, Singapore.
Shu Fen DiongSchool of Social Sciences, Singapore Management University, Singapore.
Verity Y Q LuaDepartment of Psychology, Stanford University, Stanford, United States.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
NCATS NIH HHS UL1 TR001409NCATS NIH HHS UL1 TR001881NCATS NIH HHS UL1 TR002373NCRR NIH HHS UL1 RR025011NIA NIH HHS P01 AG020166
6 · The paper itself

Abstract

objectivesThe current study aimed to investigate the health implications of negative work-to-family spillover on cardiovascular risk biomarkers.

methodsIn a large-scale cross-sectional dataset of working or self-employed midlife and older adults in the United States (N = 1179), we examined five biomarkers linked to cardiovascular risk, including high-density lipoprotein (HDL) cholesterol, low-density lipoprotein cholesterol, triglyceride, interleukin-6, and C-reactive protein. Negative work-to-family spillover, measured using a four-item self-reported questionnaire, was included into our model to study its association with these cardiovascular risk biomarkers.

resultsOur findings indicate a significant association between negative work-to-family spillover and cardiovascular risk biomarkers - higher triglycerides (β = 0.108, p < .001), interleukin-6 (β = 0.065, p = .026), and C-reactive protein (β = 0.067, p = .022), and lower HDL cholesterol (β = -0.104, p < .001). The associations on triglycerides (β = 0.094, p = .001) and HDL cholesterol (β = -0.098, p < .001) remained significant even after controlling numerous control variables of demographics, medication, health-status, and health-related behaviors. The findings were also consistent against slight variations in the analytic method and adjustment for multiple comparisons.

conclusionsThe current study supports the premise that spillover of work-related tensions into family life is associated with objective physiological changes that contribute to cardiovascular risk.

Indexed as

Cardiovascular DiseasesC-Reactive ProteinAgedBiomarkersCholesterol, HDLCross-Sectional StudiesHeart Disease Risk FactorsHumansInterleukin-6Risk FactorsTriglyceridesUnited StatesBiomarkersCholesterol, HDLC-Reactive ProteinInterleukin-6TriglyceridesCardiovascular riskCholesterolC-reactive proteinInterleukin-6Negative work-to-family spilloverWork-life balance

Identifiers

PMID38262325
PMCPMC10947879

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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.