Evidence map›Paper›PMID 25795225›Full record

SynthesisAnnals of epidemiology2015

Misery loves company? A meta-regression examining aggregate unemployment rates and the unemployment-mortality association.

David J Roelfs, Eran Shor, Aharon Blank, Joseph E Schwartz

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Annals of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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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

4 authors.

David J RoelfsDepartment of Sociology, University of Louisville, Louisville, KY. Electronic address: david.roelfs@louisville.edu.
Eran ShorDepartment of Sociology, McGill University, Montreal, Quebec, Canada.
Aharon BlankDepartment of Sociology, McGill University, Montreal, Quebec, Canada.
Joseph E SchwartzDepartment of Psychiatry, Stony Brook University, Stony Brook, NY.

Funding

MIND-BODY-BEHAVIORAL MED CLINICAL TRIALS INFRASTRUCTURER24HL076857 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI OGEDEGBE, OLUGBENGA G. · 2004 to 2008
$3.5M
NHLBI NIH HHS HL-76857NHLBI NIH HHS R24 HL076857
6 · The paper itself

Abstract

purposeIndividual-level unemployment has been consistently linked to poor health and higher mortality, but some scholars have suggested that the negative effect of job loss may be lower during times and in places where aggregate unemployment rates are high. We review three logics associated with this moderation hypothesis: health selection, social isolation, and unemployment stigma. We then test whether aggregate unemployment rates moderate the individual-level association between unemployment and all-cause mortality.

methodsWe use six meta-regression models (each using a different measure of the aggregate unemployment rate) based on 62 relative all-cause mortality risk estimates from 36 studies (from 15 nations).

resultsWe find that the magnitude of the individual-level unemployment-mortality association is approximately the same during periods of high and low aggregate-level unemployment. Model coefficients (exponentiated) were 1.01 for the crude unemployment rate (P = .27), 0.94 for the change in unemployment rate from the previous year (P = .46), 1.01 for the deviation of the unemployment rate from the 5-year running average (P = .87), 1.01 for the deviation of the unemployment rate from the 10-year running average (P = .73), 1.01 for the deviation of the unemployment rate from the overall average (measured as a continuous variable; P = .61), and showed no variation across unemployment levels when the deviation of the unemployment rate from the overall average was measured categorically. Heterogeneity between studies was significant (P < .001), supporting the use of the random effects model.

conclusionsWe found no strong evidence to suggest that unemployment experiences change when macroeconomic conditions change. Efforts to ameliorate the negative social and economic consequences of unemployment should continue to focus on the individual and should be maintained regardless of periodic changes in macroeconomic conditions.

Indexed as

Health StatusAdultFemaleHumansMaleMiddle AgedMortalityPrevalenceProportional Hazards ModelsRisk AssessmentSocial IsolationStress, PsychologicalUnemploymentMeta-analysisMortalityUnemployment

Identifiers

PMID25795225
PMCPMC4397178

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.