Evidence map›Paper›PMID 38902188›Full record

ArticleVaccine2024

Watchful, skeptics, and system distrusters: Characteristics associated with different types of COVID-19 vaccine hesitancy among U.S. working-age adults.

Xue Zhang, Shannon M Monnat

Abstract read
In one paragraph

Article in Vaccine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Xue ZhangDepartment of City and Regional Planning, Cornell University, NY 14850, USA. Electronic address: xz435@cornell.edu.
Shannon M MonnatDepartment of Sociology, Syracuse University, NY 13244, USA; Lerner Center for Public Health Promotion and Population Health, Syracuse University, NY 13244, USA; Center for Policy Research, Syracuse University, NY 13244, USA.

Funding

Network on Life Course Health Dynamics and Disparities in 21st Century America RenewalR24AG045061 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, Sarah A. Burgard · 2014 to 2026
$5.2M
Center for Aging and Policy Studies (CAPS) Core D: External Research Resources Support and Dissemination CoreP30AG066583 · NIA · SYRACUSE UNIVERSITY · PI MONTEZ, JENNIFER KARAS · 2020 to 2024
$2.1M
States' COVID-19 Mitigation Policies and Psychological Health, Drug Overdose, and Suicide among U.S. AdultsU01DA055972 · NIDA · SYRACUSE UNIVERSITY · PI MONNAT, SHANNON M · 2021 to 2025
$2.0M
Interdisciplinary Network on Rural Population Health and AgingR24AG065159 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI JENSEN, LEIF · 2019 to 2023
$1.9M
NIA NIH HHS P30 AG066583NIA NIH HHS R24 AG045061NIA NIH HHS R24 AG065159NIDA NIH HHS U01 DA055972
6 · The paper itself

Abstract

COVID-19 vaccine hesitancy is complex, with adults identifying various reasons for not getting vaccinated. Using data from the 2022 National Wellbeing Survey on 7612 U.S. adults aged 18-64, we identified how age, race/ethnicity, sex, marital status, education, income, employment status, partisanship, and metropolitan status are associated with COVID-19 vaccination status and three non-mutually exclusive types of vaccine hesitancy: 1) watchful, concerned about vaccine side effects and efficacy; 2) skeptics, distrust the vaccine, and 3) system distrusters, distrust government. A third of respondents overall (N = 2643) had not received at least one dose at the time of the survey. Among respondents who were not vaccinated, 67 % are classified as watchful, 53 % are skeptics, and 32 % are system distrusters. Results from logistic regression show that concerns about side effects and safety (watchfulness) appear to be major drivers for not getting vaccinated among females and among non-Hispanic Black and unmarried adults, whereas skepticism and distrust appear to be more important barriers among ages 25-44. All three types of hesitancy appear to be important contributors to lower vaccination uptake among low-income, low-education, and unemployed adults, and among individuals who voted for Donald Trump in the 2020 election (with skepticism and distrust being most endorsed by this group). Findings suggest that universal messaging and intervention strategies are unlikely to be effective in reducing vaccine hesitancy. Different messages, messengers, and tactics must be used with different groups.

Indexed as

COVID-19COVID-19 VaccinesVaccination HesitancyAdolescentAdultFemaleHumansMaleMiddle AgedSARS-CoV-2Surveys and QuestionnairesTrustUnited StatesVaccinationYoung AdultCOVID-19 VaccinesCOVID-19Mistrust of COVID-19 vaccineMistrust of governmentTrumpVaccine hesitancyVaccine safetyWorking-age adults

Identifiers

PMID38902188
PMCPMC11401754

What OpenQuestion holds

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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.