Evidence map›Paper›PMID 33336326›Full record

ArticleApplied health economics and health policy2021

Elections have Consequences: Partisan Politics may be Literally Killing Us.

Alexander Maas, Liang Lu

Abstract read
In one paragraph

Article in Applied health economics and health policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Alexander MaasDepartment of Agricultural Economics and Rural Sociology, University of Idaho, 875 Perimeter Dr, Moscow, ID, 83844, USA. alexmaas@uidaho.edu.ORCID 0000-0002-6689-3628
Liang LuDepartment of Agricultural Economics and Rural Sociology, University of Idaho, 875 Perimeter Dr, Moscow, ID, 83844, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPresidential campaigns and election outcomes have significant health implications for voters and communities. The theoretical underpinning of this relationship is multifaceted, but a new and growing field of empirical literature strongly suggests communities that voted for the losing presidential candidate may experience decreased physical and mental health under the leadership of the winning candidate.

objectiveOur objective was to estimate the relationship between mortality rates and community support for the losing presidential candidate (partisan loss).

methodsMortality data compiled by the US Centers for Disease Control and election results at the county level were used across a suite of county-year fixed-effects models to estimate the effect of election outcomes on mortality rates for the years 1999-2017.

resultsMortality rates were positively associated with partisan loss. Results suggest mortality rates increase by as much as 3% in extremely partisan counties following presidential election losses.

conclusionsWe suggest two mechanisms-social disintegration and/or partisan theory-by which mortality rates are likely to increase for counties that voted for the losing presidential candidate.

Indexed as

HomicidePoliticsHumans

Identifiers

PMID33336326
PMCPMC7746427

What OpenQuestion holds

Textmetadata
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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.