Evidence map›Paper›PMID 35507238›Full record

ArticleJournal of behavioral medicine2023

Is disgust proneness prospectively associated with influenza vaccine hesitancy and uptake?

Natalie J Shook, Holly N Fitzgerald, Benjamin Oosterhoff, Eva MacFarland, Barış Sevi

Open access · bronzeAbstract read
In one paragraph

Article in Journal of behavioral medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 5 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

5 authors at 3 institutions in 1 country.

Natalie J ShookUniversity of Connecticut, 231 Glenbrook Road, Storrs, CT, 06269, USA. natalie.shook@uconn.edu.ORCID 0000-0002-4794-408X
Holly N FitzgeraldUniversity of Connecticut, 231 Glenbrook Road, Storrs, CT, 06269, USA.
Benjamin OosterhoffMontana State University, Bozeman, USA.
Eva MacFarlandWest Virginia University, Morgantown, USA.
Barış SeviUniversity of Connecticut, 231 Glenbrook Road, Storrs, CT, 06269, USA.
University of Connecticut · USWest Virginia University · USMontana State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although various demographic and psychosocial factors have been identified as correlates of influenza vaccine hesitancy, factors that promote infectious disease avoidance, such as disgust proneness, have been rarely examined. In two large national U.S. samples (Ns = 475 and 1007), we investigated whether disgust proneness was associated with retrospective accounts of influenza vaccine uptake, influenza vaccine hesitancy, and eventual influenza vaccine uptake, while accounting for demographics and personality. Across both studies, greater age, higher education, working in healthcare, and greater disgust proneness were significantly related to greater likelihood of previously receiving an influenza vaccine. In Study 2, which was a year-long longitudinal project, disgust proneness prospectively predicted influenza vaccine hesitancy and eventual vaccine uptake during the 2020-2021 influenza season. Findings from this project expand our understanding of individual-level factors associated with influenza vaccine hesitancy and uptake, highlighting a psychological factor to be targeted in vaccine hesitancy interventions.

Indexed as

DisgustInfluenza, HumanInfluenza VaccinesHumansRetrospective StudiesVaccinationVaccination HesitancyInfluenza VaccinesDisgust sensitivityInfluenzaPersonalityVaccine hesitancyVaccine uptake

Identifiers

PMID35507238
PMCPMC9066988
OpenAlexW4225369304

What OpenQuestion holds

Textmetadata
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.