Evidence map›Paper›PMID 23994157›Full record

ArticlePreventive medicine2013

The association between county political inclination and obesity: Results from the 2012 presidential election in the United States.

Michael E Shin, William J McCarthy

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2013. 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
0.6field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 22 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Michael E ShinDepartment of Geography, UCLA Center for Health Policy Research, University of California, Los Angeles (UCLA), 1255 Bunche Hall, Los Angeles, CA 90095-1524, USA. Electronic address: shinm@geog.ucla.edu.
William J McCarthy
University of California, Los Angeles · US

Funding

Statistics and Methods CoreR24HD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CAMPBELL, CAMERON DOUGALL · 2001 to 2016
$10.1M
NICHD NIH HHS R24 HD041022
6 · The paper itself

Abstract

objectiveWe examined whether stable, county-level, voter preferences were significantly associated with county-level obesity prevalence using data from the 2012 US Presidential election. County voting preference for the 2012 Republican Party presidential candidate was used as a proxy for voter endorsement of personal responsibility approaches to reducing population obesity risk versus approaches featuring government-sponsored, multi-sectoral efforts like those recommended by the Centers for Disease Control Centers for Disease Control (CDC, 2009).

methodCartographic visualization and spatial analysis were used to evaluate the geographic clustering of obesity prevalence rates by county, and county-level support for the Republican Party candidate in the 2012 U.S. presidential election. The spatial analysis informed the spatial econometric approach employed to model the relationship between political preferences and other covariates with obesity prevalence.

resultsAfter controlling for poverty rate, percent African American and Latino populations, educational attainment, and spatial autocorrelation in the error term, we found that higher county-level obesity prevalence rates were associated with higher levels of support for the 2012 Republican Party presidential candidate.

conclusionFuture public health efforts to understand and reduce obesity risk may benefit from increased surveillance of this and similar linkages between political preferences and health risks.

Indexed as

Local GovernmentPoliticsAdultCluster AnalysisFemaleGeographic MappingHealth BehaviorHumansMaleMiddle AgedNutrition PolicyObesityPopulation SurveillanceRisk FactorsSocial ResponsibilitySpatial AnalysisObesityPoliticsSpatial analysisSpatial econometricsVoting

Identifiers

PMID23994157
PMCPMC4692249
OpenAlexW1979877830

What OpenQuestion holds

Textmetadata
LicenceTDM
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.