Evidence map›Paper›PMID 30187378›Full record

ArticleJournal of general internal medicine2019

Independent Relationship of Changes in Death Rates with Changes in US Presidential Voting.

Lee Goldman, Maribel P Lim, Qixuan Chen, Peng Jin, Peter Muennig, Andrew Vagelos

Open access · hybridAbstract read
In one paragraph

Article in Journal of general internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 12% of its field
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

12 citing papers in PubMed, 34 citations in OpenAlex.

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  10. Making America Great.Journal of general internal medicine · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Lee GoldmanVagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA. lgoldman@columbia.edu.
Maribel P LimVagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Qixuan ChenMailman School of Public Health, Columbia University, New York, NY, USA.
Peng JinVagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Peter MuennigMailman School of Public Health, Columbia University, New York, NY, USA.
Andrew VagelosVagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Columbia University · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
An Experimental Investigation into the Impact of Socioeconomic Context on Biological Markers of Aging, Health and MortalityR01AG054466 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ALLEN, HEIDI LYNN, MUENNIG, PETER A · 2016 to 2021
$3.0M
NIA NIH HHS R01 AG054466NIEHS NIH HHS P30 ES009089
6 · The paper itself

Abstract

backgroundThe outcome of the 2016 presidential election is commonly attributed to socioeconomic and ethnic/racial issues, but health issues, including "deaths of despair," may also have contributed.

objectiveTo assess whether changes in age-adjusted death rates were independently associated with changes in presidential election voting in 2016 vs. 2008.

designWe used publicly available data in each of 3112 US counties to correlate changes in a county's presidential voting in 2016 compared with 2008 with recent changes in its age-adjusted death rate, after controlling for population and rural-urban status, median age, race/ethnicity, income, education, unemployment rate, and health insurance rate. DESIGN

settingCross-sectional analysis of county-specific data. SETTING/

participantsAll 3112 US counties. MAIN MEASURES: The independent correlation of a county's change in age-adjusted death rate between 2000 and 2015 with its net percentage Republican gain or loss in the presidential election of 2016 vs. 2008. KEY

resultsIn 2016, President Trump increased the Republican presidential vote percentage in 83.8% of counties compared with Senator McCain in 2008. Counties with an increased Republican vote percentage in 2016 vs. 2008 had a 15% higher 2015 age-adjusted death rate than counties with an increased Democratic vote percentage. Since 2000, overall death rates declined by less than half as much, and death rates from drugs, alcohol, and suicide increased 2.5 times as much in counties with Republican gains compared with counties with Democratic gains. In multivariable analyses, Republican net presidential gain in 2016 vs. 2008 was independently correlated with slower reductions in a county's age-adjusted death rate. Although correlation cannot infer causality, modest reductions in death rates might theoretically have shifted Pennsylvania, Michigan, and Wisconsin to Secretary Clinton.

conclusionsLess of a reduction in age-adjusted death rates was an independent correlate of an increased Republican percentage vote in 2016 vs. 2008. Death rates may be markers of dissatisfactions and fears that influenced the 2016 Presidential election outcomes.

Indexed as

Federal GovernmentPoliticsSocioeconomic FactorsAdultCross-Sectional StudiesFemaleHumansInsurance, HealthMaleMiddle AgedMortalityRural PopulationUnited StatesUrban Population2016 electionage-adjusted death ratedeaths of despairpresidential electionrural public health

Identifiers

PMID30187378
PMCPMC6420486
OpenAlexW2889693990

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.