Evidence map›Paper›PMID 36536688›Full record

ArticleEvolutionary psychological science2022

Responses to COVID-19 Threats: an Evolutionary Psychological Analysis.

Stephen M Colarelli, Tyler J Mirando, Kyunghee Han, Norman P Li, Carter Vespi, Katherine A Klein, Charles P Fales

Abstract read
In one paragraph

Article in Evolutionary psychological science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Stephen M ColarelliDepartment of Psychology, Central Michigan University, Mount Pleasant, USA.
Tyler J MirandoDepartment of Psychology, Central Michigan University, Mount Pleasant, USA.
Kyunghee HanDepartment of Psychology, Central Michigan University, Mount Pleasant, USA.
Norman P LiSchool of Social Science, Singapore Management University, Singapore, Singapore.
Carter VespiDepartment of Psychology, Central Michigan University, Mount Pleasant, USA.
Katherine A KleinDepartment of Psychology, Central Michigan University, Mount Pleasant, USA.
Charles P FalesDepartment of Psychology, Central Michigan University, Mount Pleasant, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Responses to COVID-19 public health interventions have been lukewarm. For example, only 64% of the US population has received at least two vaccinations. Because most public health interventions require people to behave in ways that are evolutionarily novel, evolutionary psychological theory and research on mismatch theory, the behavioral immune system, and individual differences can help us gain a better understanding of how people respond to public health information. Primary sources of threat information during the pandemic (particularly in early phases) were geographic differences in morbidity and mortality statistics. We argue that people are unlikely to respond to this type of evolutionarily novel information, particularly under conditions of high uncertainty. However, because individual differences affect threat perceptions, some individual differences will be associated with threat responses. We conducted two studies (during Phase 1 and 2 years later), using data from primarily public sources. We found that state-level COVID-19 morbidity and mortality rates had no relationship with mental health symptoms (an early indicator of how people were responding to the pandemic), suggesting that people-in general-were not attending to this type of information. This result is consistent with the evolutionary psychological explanation that statistical information is likely to have a weak effect on the behavioral immune system. We also found that individual differences (neuroticism, IQ, age, and political ideology) affected how people responded to COVID-19 threats, supporting a niche-picking explanation. We conclude with suggestions for future research and suggestions for improving interventions and promoting greater compliance.

Indexed as

Behavioral immune systemCOVID-19Decision-makingIndividual differencesMismatch

Identifiers

PMID36536688
PMCPMC9753878

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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.