Evidence map›Paper›PMID 25025281›Full record

ArticlePloS one2014

The health effects of US unemployment insurance policy: does income from unemployment benefits prevent cardiovascular disease?

Stefan Walter, Maria Glymour, Mauricio Avendano

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Stefan WalterDepartment of Social and Behavioral Sciences, Harvard School of Public Health, Boston, Massachusetts, United States of America; Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Maria GlymourDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California, United States of America; Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Mauricio AvendanoDepartment of Social and Behavioral Sciences, Harvard School of Public Health, Boston, Massachusetts, United States of America; LSE Health and Social Care, London School of Economics and Political Science, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePrevious studies suggest that unemployment predicts increased cardiovascular disease (CVD) risk, but whether unemployment insurance programs mitigate this risk has not been assessed. Exploiting US state variations in unemployment insurance benefit programs, we tested the hypothesis that more generous benefits reduce CVD risk.

methodsCohort data came from 16,108 participants in the Health and Retirement Study (HRS) aged 50-65 at baseline interviewed from 1992 to 2010. Data on first and recurrent CVD diagnosis assessed through biennial interviews were linked to the generosity of unemployment benefit programmes in each state and year. Using state fixed-effect models, we assessed whether state changes in the generosity of unemployment benefits predicted CVD risk.

resultsStates with higher unemployment benefits had lower incidence of CVD, so that a 1% increase in benefits was associated with 18% lower odds of CVD (OR:0.82, 95%-CI:0.71-0.94). This association remained after introducing US census regional division fixed effects, but disappeared after introducing state fixed effects (OR:1.02, 95%-CI:0.79-1.31).This was consistent with the fact that unemployment was not associated with CVD risk in state-fixed effect models.

conclusionAlthough states with more generous unemployment benefits had lower CVD incidence, this appeared to be due to confounding by state-level characteristics. Possible explanations are the lack of short-term effects of unemployment on CVD risk. Future studies should assess whether benefits at earlier stages of the life-course influence long-term risk of CVD.

Indexed as

Insurance BenefitsInsurance, HealthUnemploymentAgedCardiovascular DiseasesFemaleGeographyHumansIncidenceLongitudinal StudiesMaleMiddle AgedRisk FactorsUnited States

Identifiers

PMID25025281
PMCPMC4098914

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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.