Determinants of protective behaviors against COVID-19 among young adults: application of the extended parallel process model

Coronavirus disease is one of the major global public health challenges that has affected different groups of society. This study aimed to investigate how young people understand possible behavioral responses to prevent the spread of Covid-19. This descriptive-analytical study was conducted in 2022. The research population in this study was 2410 youths from the Kurdistan Province. The sampling method was simple and random in nature. The data collection tool was a researcher-made questionnaire based on the EPPM model structures. Data analysis was performed using descriptive and analytical statistics in SPSS software version 24. There was a relationship between demographic and background variables with EPPM constructs and protective behavior of Covid-19 (P ≤ 0.05). There was a positive and significant correlation between the constructs of the EPPM, fear, and protective behavior of Covid-19 in young people. The results of multiple linear regression showed that demographic variables, model constructs, and fear explained 53% of protective behaviors against COVID-19, among which the role of perceived efficacy was stronger than that of the other constructs. In the present study, the perceived efficacy dimension in the EPPM model was the main determinant of protective behaviors against Covid-19 in young people. Therefore, to promote protective behaviors, more emphasis can be placed on strategies to improve the mentioned structures; when the perceived efficacy of recommended health behaviors outweighs the perceived threat, the likelihood of compliance with protective health behaviors in the case of Covid-19 increases.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-04-21
DOI
https://doi.org/10.1038/s41598-026-46971-3
Primary Topic
COVID-19 and Mental Health
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of protective behaviors against COVID-19 among young adults: application of the extended parallel process model

Hassan Mahmoodi, Amene Hossaini, Asrin Lotfollah, Aysan Setayesh et al.
Scientific Reports
COVID-19 and Mental Health
article

Determinants of protective behaviors against COVID-19 among young adults: application of the extended parallel process model

Hassan Mahmoodi, Amene Hossaini, Asrin Lotfollah, Aysan Setayesh, Sharareh Bagheri
article en

Abstract

Coronavirus disease is one of the major global public health challenges that has affected different groups of society. This study aimed to investigate how young people understand possible behavioral responses to prevent the spread of Covid-19. This descriptive-analytical study was conducted in 2022. The research population in this study was 2410 youths from the Kurdistan Province. The sampling method was simple and random in nature. The data collection tool was a researcher-made questionnaire based on the EPPM model structures. Data analysis was performed using descriptive and analytical statistics in SPSS software version 24. There was a relationship between demographic and background variables with EPPM constructs and protective behavior of Covid-19 (P ≤ 0.05). There was a positive and significant correlation between the constructs of the EPPM, fear, and protective behavior of Covid-19 in young people. The results of multiple linear regression showed that demographic variables, model constructs, and fear explained 53% of protective behaviors against COVID-19, among which the role of perceived efficacy was stronger than that of the other constructs. In the present study, the perceived efficacy dimension in the EPPM model was the main determinant of protective behaviors against Covid-19 in young people. Therefore, to promote protective behaviors, more emphasis can be placed on strategies to improve the mentioned structures; when the perceived efficacy of recommended health behaviors outweighs the perceived threat, the likelihood of compliance with protective health behaviors in the case of Covid-19 increases.

Scientific Reports
Kurdistan University of Medical Sciences (IR)
Kurdistan University Of Medical Sciences
Good health and well-being
Openalex Percentile: Top 6%
COVID-19 and Mental Health
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.