Evidence map›Paper›PMID 33835930›Full record

ArticleJournal of medical Internet research2021

Novel Predictors of COVID-19 Protective Behaviors Among US Adults: Cross-sectional Survey.

Ken Resnicow, Elizabeth Bacon, Penny Yang, Sarah Hawley, M Lee Van Horn, Lawrence An

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Lessons Learned from the Lessons Learned in Public Health during the First Years of COVID-19 Pandemic.International journal of environmental research and public health · 2023
    Review
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  18. COVID-19 Vaccine Hesitancy: A Critical Time Period Analysis.International journal of environmental research and public health · 2022
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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

6 authors.

Ken ResnicowCenter for Health Communications Research, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-1416-9627
Elizabeth BaconCenter for Health Communications Research, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-9029-8004
Penny YangCenter for Health Communications Research, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-2330-2330
Sarah HawleyCenter for Health Communications Research, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-5756-645X
M Lee Van HornDepartment of Psychology, University of New Mexico, Albuquerque, NM, United States.ORCID 0000-0003-1297-098X
Lawrence AnCenter for Health Communications Research, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-9861-1800

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
NCI NIH HHS P30 CA046592
6 · The paper itself

Abstract

backgroundA central component of the public health strategy to control the COVID-19 pandemic involves encouraging mask wearing and social distancing to protect individuals from acquiring and transmitting the virus.

objectiveThis study aims to understand the psychological factors that drive adoption or rejection of these protective behaviors, which can inform public health interventions to control the pandemic.

methodsWe conducted an online survey of a representative sample of 1074 US adults and assessed three novel potential predictors of COVID-19 behaviors: trait reactance, COVID-19 conspiracy beliefs, and COVID-19 apocalypse beliefs. Key outcomes (dependent variables) included an index of COVID-19 protective behaviors, the number of trips taken from the home, and COVID-19 knowledge.

resultsIn bivariate analyses, all three predictors were significantly correlated in the hypothesized direction with the three COVID-19 outcomes. Specifically, each predictor was negatively (P<.01) correlated with the COVID-19 protective behaviors index and COVID-19 knowledge score, and positively correlated with trips taken from home per week (more of which was considered higher risk). COVID-19 protective behaviors and COVID-19 knowledge were significantly lower in the top median compared to the bottom median for all three predictors. In general, these findings remained significant after adjusting for all novel predictors plus age, gender, income, education, race, political party, and religiosity. Self-identified Republicans (vs other political affiliations) reported the highest values for each of the novel predictors.

conclusionsThis study can inform the development of health communication interventions to encourage the adoption of COVID-19 protective behaviors. Interestingly, we found that higher scores of all three novel predictors were associated with lower COVID-19 knowledge, suggesting that lack of an accurate understanding of the virus may be driving some of these attitudes; although, it is also possible that these attributes may interfere with one's willingness or ability to seek and absorb accurate health information. These individuals may be particularly immune to accepting new information and yielding their beliefs. Health communication professionals may apply lessons learned from countering similar beliefs around climate change and vaccine hesitancy. Messages designed for individuals prone to reactance may be more effective if they minimize controlling language and emphasize the individual's independence in adopting these behavioral recommendations. Messaging for those who possess conspiracy beliefs should similarly not assume that providing evidence contrary to these beliefs will alone alter behavior. Other communication techniques such as rolling with resistance, a strategy used in motivational interviewing, may be helpful. Messaging for those with apocalyptic beliefs may require using religious leaders as the message source and using scripture that would support the adoption of COVID-19 protection behaviors.

Indexed as

Health BehaviorAdolescentAdultAgedCOVID-19Cross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2Surveys and QuestionnairesUnited StatesYoung Adultbehaviorcommunicationconspiracy beliefsCOVID-19health communicationprotectionprotective behaviorpsychological predictorspsychologypublic healthreactance

Identifiers

PMID33835930
PMCPMC8059784

What OpenQuestion holds

Textmetadata
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.