Evidence map›Paper›PMID 40323952›Full record

ArticlePloS one2025

Perceptions of COVID-19 risk among individuals with preexisting health conditions.

Holli A Loomans-Kropp, Mohamed I Elsaid, Jingbo Yi, Yesung Kweon, Electra D Paskett, Impact of COVID-19 on Behaviors across the Cancer Control Continuum

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Holli A Loomans-KroppDivision of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.ORCID https://orcid.org/0000-0002-9681-8725
Mohamed I ElsaidComprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America.
Jingbo YiComprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America.
Yesung KweonCenter for Biostatistics, College of Medicine, The Ohio State University Wexner Medical Center, Columbus Ohio, United States of America.
Electra D PaskettDivision of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
Impact of COVID-19 on Behaviors across the Cancer Control Continuum

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Daniel G. Stover · 1985 to 2026
$132.3M
The Ohio State University Center for clinical and Translational ScienceUL1TR001070 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$22.6M
NCATS NIH HHS UL1 TR001070NCI NIH HHS P30 CA016058
6 · The paper itself

Abstract

objectivesTo examine the association between the presence of preexisting health conditions (PEC) and the perceived risk of catching COVID-19 at the beginning of the pandemic and assess how risk perceptions changed over time.

methodsWe used data collected as part of the "Impact of COVID-19" baseline and follow-up surveys to complete our analyses. Participants were interviewed to collect their perceptions of the risk of catching COVID-19 (baseline and follow-up) and the number and type of PEC. Kruskal-Wallis and chi-square tests were used to assess differences in baseline characteristics, and prevalence ratios were estimated using crude and adjusted modified Poisson generalized linear models.

resultsOf the overall study population, 7,069 participants were eligible for the analysis. The majority (83.7%) of the eligible study population had a history of any PEC. Those with a history of any PEC had a median age of 58 (range: 19-97), were primarily female (67.6%), White non-Hispanic (87.8%), had some college (30.3%), were married or living as married (74.4%), lived in an urban region (67.6%), and reported good (35.4%) or very good (33.9%) health. At baseline, study participants with a history of any PEC were more likely to be concerned about catching COVID-19, using a scale of 0-100, compared to those without PECs (Mean[SD] 60.8[29.8] vs. 53.2[29.7]; p < 0.001), as well as more likely concerned about someone they knew catching COVID-19 (Mean[SD] 70.0[28.8] vs. 64.4[29.4]; p < 0.001). The main effects models showed that self-concern of getting COVID-19 was higher in individuals with any PEC, compared to those with no history of PEC (Prevalence Ratio [PR], 1.15; 95%CI, 1.03-1.29); self-concern was lower at follow-up for those with any PEC, compared to baseline (PR, 0.68; 95%CI, 0.65-0.71). There was evidence of an interaction in the models of concern for self and others, suggesting that one's perception of risk was influenced by both the presence/absence of PECs and study time points.

conclusionsIndividuals with PECs perceived a higher risk of COVID-19 infection for themselves and others towards the beginning of the pandemic, although this perception of susceptibility, or risk, was lower at follow-up. In this study, we showed that attitudes toward health and risk of disease of oneself and others may change throughout a pandemic.

Indexed as

COVID-19Health Knowledge, Attitudes, PracticeVulnerable PopulationsAdultAgedAged, 80 and overDisease SusceptibilityFemaleHumansMaleMiddle AgedPandemicsPerceptionPreexisting Condition CoverageRisk FactorsSurveys and Questionnaires

Identifiers

PMID40323952
PMCPMC12052145

What OpenQuestion holds

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LicenceCC BY
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.