Evidence map›Paper›PMID 38567772›Full record

ArticleJournal of health politics, policy and law2024

Is Redistribution Good for Our Health? Examining the Macrocorrelation between Welfare Generosity and Health across EU Nations over the Last 40 Years.

Lyle Scruggs, Ashley Fox, Megan M Reynolds

Abstract read
In one paragraph

Article in Journal of health politics, policy and law, 2024. 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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0cells of the map it votes in
0citing papers in PubMed
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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

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.

Lyle ScruggsUniversity of Connecticut.
Ashley FoxUniversity at Albany, State University of New York.
Megan M ReynoldsUniversity of Utah.

Funding

Economic security policy and birth outcomes among socio-economically disadvantaged womenR01HD107077 · NICHD · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Megan Reynolds · 2023 to 2026
$1.3M
NICHD NIH HHS R01 HD107077
6 · The paper itself

Abstract

contextSocial determinants of health are finally getting much-needed policy attention, but their political origins remain underexplored. In this article, the authors advance a theory of political determinants as accruing along three pathways of welfare state effects (redistribution, poverty reduction, and status preservation), and they test these assumptions by examining impacts of policy generosity on life expectancy (LE) over the last 40 years.

methodsThe authors merge new and existing welfare policy generosity data from the Comparative Welfare Entitlement Project with data on LE spanning 1980-2018 across 21 countries in the Organization for Economic Cooperation and Development. They then examine relationships between five welfare policy generosity measures and LE using cross-sectional differencing and autoregressive lag models.

findingsThe authors find consistent and positive effects for total generosity (an existing measure of social insurance generosity) on LE at birth across different model specifications in the magnitude of an increase in LE at birth of 0.10-0.15 years (p < 0.05) as well as for a measure of status preservation (0.11, p < 0.05). They find less consistent support for redistribution and poverty reduction measures.

conclusionsThe authors conclude that in addition to generalized effects of policy generosity on health, status-preserving social insurance may be an important, and relatively overlooked, mechanism in increasing LE over time in advanced democracies.

Indexed as

Life ExpectancySocial Determinants of HealthSocial WelfareCross-Sectional StudiesEuropean UnionHealth PolicyHumansPovertylife expectancypolitical determinants of healthpopulation healthwelfare state

Identifiers

PMID38567772
PMCPMC11822727

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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.