Evidence map›Paper›PMID 37295206›Full record

ArticleSocial science & medicine (1982)2023

Political network composition predicts vaccination attitudes.

Matthew Facciani, Aleksandra Lazić, Gracemarie Viggiano, Tara McKay

Open access · greenAbstract read
In one paragraph

Article in Social science & medicine (1982), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
8.7field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 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

4 authors at 3 institutions in 2 countries.

Matthew FaccianiUniversity of Notre Dame, USA. Electronic address: mfaccian@nd.edu.
Aleksandra LazićUniversity of Belgrade, Serbia.
Gracemarie ViggianoVanderbilt University, USA.
Tara McKayVanderbilt University, USA.
Vanderbilt University · USUniversity of Belgrade · RSUniversity of Notre Dame · US

Funding

Effects of Social Networks and Policy Context on Health among Older Sexual and Gender Minorities in the US SouthR01AG063771 · NIA · VANDERBILT UNIVERSITY · PI MCKAY, TARA · 2019 to 2023
$2.6M
NIA NIH HHS R01 AG063771
6 · The paper itself

Abstract

Political polarization is growing rapidly in the United States and has been linked to politicized public health issues including vaccination. Political homogeneity among one's interpersonal relationships may predict polarization levels and partisan bias. In this study, we analyzed if political network structure predicted partisan beliefs about the COVID-19 vaccine, beliefs about vaccines in general, and COVID-19 vaccine uptake. Personal networks were measured by whom the respondent discussed "important matters" with to obtain a list of individuals who are close to the respondent. The number of associates listed who share the political identity or vaccine status with the respondent was calculated as a measure of homogeneity. We find that having more Republicans and unvaccinated individuals in one's network predicted lower vaccine confidence whereas having more Democrats and vaccinated individuals in one's network predicted higher vaccine confidence. Exploratory network analyses revealed that non-kin others are especially impactful on vaccine attitudes when those network connections are also Republican and unvaccinated.

Indexed as

COVID-19VaccinesAttitudeCOVID-19 VaccinesHumansUnited StatesVaccinationCOVID-19 VaccinesVaccines

Identifiers

PMID37295206
PMCPMC11198728
OpenAlexW4379145209

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.