Evidence map›Paper›PMID 40604665›Full record

ArticleBMC public health2025

Living in an unhealthy neighbourhood impacts individual employment status.

Patricia Ots, Sander K R van Zon, Jochen O Mierau, Sandra Brouwer

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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Patricia OtsDepartment of Health Sciences, Community and Occupational Medicine, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands. p.ots@umcg.nl.
Sander K R van ZonDepartment of Health Sciences, Community and Occupational Medicine, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands.
Jochen O MierauFaculty of Economics and Business, University of Groningen, Groningen, the Netherlands.
Sandra BrouwerDepartment of Health Sciences, Community and Occupational Medicine, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIndividual characteristics including poor health are well-known to affect labour market participation. However, less is known on the role of health at the residential neighbourhood level. This study examines cross-sectional and longitudinal associations between neighbourhood health and employment status and the moderating role of individual health in the association between neighbourhood health and employment status.

methodsIndividual level data from the Lifelines Cohort Study (n = 137,921) was matched with full-population neighbourhood health data and registry data from Statistics Netherlands on employment status with up to 14 years of follow-up. Neighbourhood health indicators included the proportion of individuals in poor self-reported health (nHealth) and with a chronic disease (nDisease) within neighbourhoods, divided in tertiles (T1, T2, T3). Individual health included dichotomized measures of self-reported poor health (iHealth) and the presence of a chronic disease (iDisease). Employment status comprised the categories employed, unemployed, work disabled, economically inactive and early retired. Logistic and cause-specific Cox regression analyses, including interaction terms between iHealth and nHealth, were used to examine the associations with employment status.

resultsPoorest nHealth and nDisease tertiles were associated with higher risks of unemployment and work disability. Cross-sectional odds ratios (OR)s for nHealth T3 were: 2.22 (95% CI: 2.06─2.39) for unemployment and 1.98 (95% CI: 1.81─2.16) for work disability. Longitudinal hazard ratios (HR)s for nHealth T3 were: 1.27 (95% CI: 1.22─1.32) for unemployment and 1.59 (95% CI: 1.45─1.74) for work disability. Associations for nDisease were weaker but statistically significant. iHealth and iDisease moderated the associations but stratified analyses yielded inconclusive results.

conclusionsNeighbourhood health promotion may have societal and economic benefits by extending individual's working lives.

Indexed as

EmploymentHealth StatusNeighborhood CharacteristicsResidence CharacteristicsAdultChronic DiseaseCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedNetherlandsNeighbourhood healthUnemploymentWork disability

Identifiers

PMID40604665
PMCPMC12220042

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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.