Utilizing the Health Belief Model to understand heat mitigation behaviors in the United States: Results of an online panel survey

The factors impacting individual-level heat mitigation behaviors (e.g., seeking shade, staying cool, wearing loose-fitting clothes) during extreme heat events among adults in the United States are poorly understood. The Health Belief Model (HBM) has been used extensively to explore health promoting behaviors; we explored the application of the HBM constructs to understand heat mitigation behaviors among U.S. adults. Online panel data from the Household Emergency Preparedness Survey was collected in May 2024 to explore knowledge, attitudes, beliefs and behaviors related to extreme heat mitigation among a nationally representative sample of U.S. adults. An outcome variable assessing likeliness to engage in heat mitigation behaviors was developed by dichotomizing a sum of responses to questions asking about likelihood to engage in different mitigation behaviors; scores were split on the median value to classify those "more likely" versus "less likely" to engage in mitigation behaviors. Descriptive statistics were used to explore HBM construct responses among our sample; logistic regression models examined whether perceived benefits, perceived barriers, perceived susceptibility, perceived severity, self-efficacy, and cues to action were associated with more likelihood to engage in heat mitigation behaviors, after controlling for age, sex, income, race/ethnicity, education, and political affiliation. We included 6095 responses to the online panel survey in our analysis. A multivariable logistic regression model including all HBM constructs and adjusting for sociodemographic characteristics found that higher degrees of perceived benefits (OR=1.30, 95% CI:1.22-1.39), self-efficacy (OR=3.69, 95% CI: 3.26-4.10), and cues to action (OR=1.48, 95% CI:1.38-1.60) were positively associated with being more likely to engage in heat mitigation behaviors. Results from our analyses suggest that communication strategies, guidelines, and interventions which incorporate cues to action, as well as those focused on improving perceived benefits and self-efficacy can be most effective in improving heat mitigation behaviors.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-10-14
DOI
https://doi.org/10.1371/journal.pone.0334697
Primary Topic
Climate Change and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utilizing the Health Belief Model to understand heat mitigation behaviors in the United States: Results of an online panel survey

Jo Kay Ghosh, B. Ludeña Martínez, Celeste Beck
PLoS ONE
Climate Change and Health Impacts
article

Utilizing the Health Belief Model to understand heat mitigation behaviors in the United States: Results of an online panel survey

Jo Kay Ghosh, B. Ludeña Martínez, Celeste Beck
article en

Abstract

The factors impacting individual-level heat mitigation behaviors (e.g., seeking shade, staying cool, wearing loose-fitting clothes) during extreme heat events among adults in the United States are poorly understood. The Health Belief Model (HBM) has been used extensively to explore health promoting behaviors; we explored the application of the HBM constructs to understand heat mitigation behaviors among U.S. adults. Online panel data from the Household Emergency Preparedness Survey was collected in May 2024 to explore knowledge, attitudes, beliefs and behaviors related to extreme heat mitigation among a nationally representative sample of U.S. adults. An outcome variable assessing likeliness to engage in heat mitigation behaviors was developed by dichotomizing a sum of responses to questions asking about likelihood to engage in different mitigation behaviors; scores were split on the median value to classify those "more likely" versus "less likely" to engage in mitigation behaviors. Descriptive statistics were used to explore HBM construct responses among our sample; logistic regression models examined whether perceived benefits, perceived barriers, perceived susceptibility, perceived severity, self-efficacy, and cues to action were associated with more likelihood to engage in heat mitigation behaviors, after controlling for age, sex, income, race/ethnicity, education, and political affiliation. We included 6095 responses to the online panel survey in our analysis. A multivariable logistic regression model including all HBM constructs and adjusting for sociodemographic characteristics found that higher degrees of perceived benefits (OR=1.30, 95% CI:1.22-1.39), self-efficacy (OR=3.69, 95% CI: 3.26-4.10), and cues to action (OR=1.48, 95% CI:1.38-1.60) were positively associated with being more likely to engage in heat mitigation behaviors. Results from our analyses suggest that communication strategies, guidelines, and interventions which incorporate cues to action, as well as those focused on improving perceived benefits and self-efficacy can be most effective in improving heat mitigation behaviors.

PLoS ONEVol. 20(10)
Hellenic Aerospace Industry (Greece) (GR)
Openalex Percentile: Top 62%
Climate Change and Health Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.