Evidence map›Paper›PMID 38217398›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2024

Perceptions of COVID-19 Risk: How Did People Adapt to the Novel Risk?

Karen Sepucha, Aaron Rudkin, Ryan Baxter-King, Annette L Stanton, Neil Wenger, Lynn Vavreck, Arash Naeim

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Karen SepuchaHealth Decision Sciences Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-3762-3880
Aaron RudkinDepartment of Political Science, University of California Los Angeles (UCLA) Health Sciences, Los Angeles, CA, USA.
Ryan Baxter-KingDepartment of Political Science, University of California Los Angeles (UCLA) Health Sciences, Los Angeles, CA, USA.
Annette L StantonDepartments of Psychology and Psychiatry/Biobehavioral Sciences, UCLA, Los Angeles, CA, USA.
Neil WengerDivision of General Internal Medicine and Health Sciences Research, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Lynn VavreckDepartments of Political Science and Communication, UCLA, Los Angeles, CA, USA.
Arash NaeimDivision of General Internal Medicine and Health Sciences Research, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
NCATS NIH HHS UL1 TR001881
6 · The paper itself

Abstract

backgroundThere is limited understanding of how risk perceptions changed as the US population gained experience with COVID-19. The objectives were to examine risk perceptions and determine the factors associated with risk perceptions and how these changed over the first 18 mo of the pandemic.

methodsSeven cross-sectional online surveys were fielded between May 2020 and October 2021. The study included a population-weighted sample of 138,303 US adults drawn from a market research platform, with an average 68% cooperation rate. Respondents' risk perception of developing COVID in the next 30 days was assessed at each time point. We examined relationships between 30-day risk perceptions and various factors (including sociodemographic features, health, COVID-19 experience, political affiliation, and psychological variables).

resultsCOVID risk perceptions were stable across the 2020 surveys and showed a significant decrease in the 2021 surveys. Several factors, including older age, worse health, high COVID worry, in-person employment type, higher income, Democratic political party affiliation (the relatively more liberal party in the United States), low tolerance of uncertainty, and high anxiety were strongly associated with higher 30-d risk perceptions in 2020. One notable change occurred in 2021, in that younger adults (aged 18-29 y) had significantly higher 30-d risk perceptions than older adults did (aged 65 y and older) after vaccination. Initial differences in perception by political party attenuated over time. Higher 30-d risk perceptions were significantly associated with engaging in preventive behaviors. LIMITATIONS: Cross-sectional samples, risk perception item focused on incidence not severity.

conclusionsCOVID risk perceptions decreased over time. Understanding the longitudinal pattern of risk perceptions and the factors associated with 30-d risk perceptions over time provides valuable insights to guide public health communication campaigns. HIGHLIGHTS: The study assessed COVID-19 risk perceptions at 7 time points over 18 mo of the pandemic in large samples of US adults.Risk perceptions were fairly stable until the introduction of vaccines in early 2021, at which point they showed a marked reduction.Higher COVID-19 30-d risk perceptions were significantly associated with the preventive behaviors of masking, limiting social contact, avoiding restaurants, and not entertaining visitors at home.

Indexed as

COVID-19AgedCross-Sectional StudiesHumansSARS-CoV-2Surveys and QuestionnairesUnited StatescoronavirusCOVID-19longitudinal datapreventive health behaviorsrisk perception

Identifiers

PMID38217398
PMCPMC11253572

What OpenQuestion holds

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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.