ArticleVaccine2024
Watchful, skeptics, and system distrusters: Characteristics associated with different types of COVID-19 vaccine hesitancy among U.S. working-age adults.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
- Vaccination Conversations on X in Spanish and Catalan: Qualitative Content Analysis.JMIR infodemiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
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.
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Registered trials
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.