Evidence map›Paper›PMID 40450231›Full record

ArticleBMC public health2025

Health as a rich people's game through the lens of work and income.

Wen-Jui Han, Marc A Scott, Nora Tang

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Wen-Jui HanNew York University, 1 Washington Square North, New York, NY, 10003, USA. wjh3@nyu.edu.ORCID https://orcid.org/0000-0002-2054-2275
Marc A ScottNew York University, Kimball Hall 246 Greene Street Floor 3, New York, NY, 10003, United States of America.ORCID http://orcid.org/0000-0002-1537-0894
Nora TangNew York University, Kimball Hall 246 Greene Street Floor 3, New York, NY, 10003, United States of America.

Funding

Ford Foundation A25-0625-001Swiss National Centre of Competence in Research LIVES-Overcoming vulnerability: Life course perspectives NCCR 51NF40-160590
6 · The paper itself

Abstract

backgroundThe growing reliance on precarious employment —work that is uncertain, insecure, and unstable —has transformed work for many from a resource to a vulnerability for health and well-being.

methodsUsing longitudinal data from the NLSY79 cohort (n ≈ 6,666) in the United States, we focused on two social determinants of health (SDOH), work and family income. We examine work schedule and income patterns between ages 22 and 49, explicitly building upon the life course lens to answer how such patterns before age 50 may shape future health outcomes at age 50. We used sequence analysis to categorize work and family income trajectories and multivariate regression to examine the relationship between work and family income trajectories on health at age 50.

resultsOur sequence analysis reveals four diverse work clusters ranging from stable standard daytime hours to volatile work patterns (e.g., not working, working evening or night hours, or variable hours) and four family income clusters ranging from upward mobility to persistent low-income patterns. Our multivariate regression suggests a strong income gradient in health, which plays a critical role in cushioning the otherwise adverse effects on health from volatile work patterns. In contrast, limited and volatile income exacerbates the negative effects of volatile work patterns on health. These adverse associations were particularly pronounced for females.

conclusionsTaken together, our results demonstrate a strong income gradient in health that may be moderated by diverse work patterns, with significant implications for how work and income as SDOH factors play critical roles in shaping intergenerational poverty and inequality. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

EmploymentIncomeSocial Determinants of HealthAdultFemaleHumansJob SecurityLongitudinal StudiesSocioeconomic Disparities in HealthUnited StatesCES-D depressive symptomsHealthLife course perspectiveMental functionNLSY79Nonstandard work schedulesPhysical functionSequence analysisSocial determinants of health

Identifiers

PMID40450231
PMCPMC12125729

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LicenceCC BY
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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.