Evidence map›Paper›PMID 35114966›Full record

ArticleBMC public health2022

Associations among political voting preference, high-risk health status, and preventative behaviors for COVID-19.

Thalia Porteny, Laura Corlin, Jennifer D Allen, Kyle Monahan, Andrea Acevedo, Thomas J Stopka, Peter Levine, Keren Ladin

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Environmental Exposures and COVID-19 Experiences in the United States, 2020-2022.International journal of environmental research and public health · 2025
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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

8 authors at 1 institution in 1 country.

Thalia PortenyDepartment of Community Health, Tufts University, 574 Boston Avenue, Suite 118G, Medford, MA, 02155, USA. thalia.porteny@tufts.edu.
Laura CorlinDepartment of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Ave, Boston, MA, 02111, USA.
Jennifer D AllenDepartment of Community Health, Tufts University, 574 Boston Avenue, Suite 118G, Medford, MA, 02155, USA.
Kyle MonahanData Lab, Tufts Technology Services, Tufts University, 16 Dearborn Road, Medford, MA, 02155, USA.
Andrea AcevedoDepartment of Community Health, Tufts University, 574 Boston Avenue, Suite 118G, Medford, MA, 02155, USA.
Thomas J StopkaDepartment of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Ave, Boston, MA, 02111, USA.
Peter LevineJonathan M. Tisch College of Civic Life, Tufts University, 163 Packard Ave, Medford, MA, USA.
Keren LadinDepartment of Community Health, Tufts University, 574 Boston Avenue, Suite 118G, Medford, MA, 02155, USA.
Tufts University · US

Funding

Tufts Clinical and Translational Science Institute (Pilot Supplement)UL1TR002544 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2018 to 2022
$50.2M
Tufts BIRCWH ProgramK12HD092535 · NICHD · TUFTS UNIVERSITY BOSTON · PI FREUND, KAREN, JAFFE, IRIS Z · 2017 to 2023
$4.3M
NCATS NIH HHS UL1 TR002544NICHD NIH HHS K12 HD092535
6 · The paper itself

Abstract

backgroundWe investigate the relationships among political preferences, risk for COVID-19 complications, and complying with preventative behaviors, such as social distancing, quarantine, and vaccination, as they remain incompletely understood. Since those with underlying health conditions have the highest mortality risk, prevention strategies targeting them and their caretakers effectively can save lives. Understanding caretakers' adherence is also crucial as their behavior affects the probability of transmission and quality of care, but is understudied. Examining the degree to which adherence to prevention measures within these populations is affected by their health status vs. voting preference, a key predictor of preventative behavior in the U. S, is imperative to improve targeted public health messaging. Knowledge of these associations could inform targeted COVID-19 campaigns to improve adherence for those at risk for severe consequences.

methodsWe conducted a nationally-representative online survey of U.S. adults between May-June 2020 assessing: 1) attempts to socially-distance; 2) willingness/ability to self-quarantine; and 3) intention of COVID-19 vaccination. We estimated the relationships between 1) political preferences 2) underlying health status, and 3) being a caretaker to someone with high-risk conditions and each dependent variable. Sensitivity analyses examined the associations between political preference and dependent variables among participants with high-risk conditions and/or obesity.

resultsAmong 908 participants, 75.2% engaged in social-distancing, 94.4% were willing/able to self-quarantine, and 60.1% intended to get vaccinated. Compared to participants intending to vote for Biden, participants who intended to vote for Trump were significantly less likely to have tried to socially-distance, self-quarantine, or intend to be vaccinated. We observed the same trends in analyses restricted to participants with underlying health conditions and their caretakers Underlying health status was independently associated with social distancing among individuals with obesity and another high-risk condition, but not other outcomes.

conclusionEngagement in preventative behavior is associated with political voting preference and not individual risk of severe COVID-19 or being a caretaker of a high-risk individual. Community based strategies and public health messaging should be tailored to individuals based on political preferences especially for those with obesity and other high-risk conditions. Efforts must be accompanied by broader public policy.

Indexed as

COVID-19AdultCOVID-19 VaccinesHealth StatusHumansPoliticsSARS-CoV-2COVID-19 VaccinesCOVID-19Political voting preferencePreventative behaviorsUnderlying health conditions

Identifiers

PMID35114966
PMCPMC8813186
OpenAlexW4210600660

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.