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Predictors for adherent behavior in the COVID-19 pandemic: A cross-sectional telephone survey

BACKGROUND: During the COVID-19 pandemic, protective measures have been prescribed to prevent or slow down the spread of the SARS-CoV-2 virus and protect the population. Individuals follow these measures to varying degrees. We aimed to identify factors influencing the extent to which protective meas...

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Autores principales: Siebenhofer, Andrea, Könczöl, Clemens, Jeitler, Klaus, Schmid, Daniela, Elliott, Phillip, Avian, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632415/
https://www.ncbi.nlm.nih.gov/pubmed/36339221
http://dx.doi.org/10.3389/fpubh.2022.894128
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author Siebenhofer, Andrea
Könczöl, Clemens
Jeitler, Klaus
Schmid, Daniela
Elliott, Phillip
Avian, Alexander
author_facet Siebenhofer, Andrea
Könczöl, Clemens
Jeitler, Klaus
Schmid, Daniela
Elliott, Phillip
Avian, Alexander
author_sort Siebenhofer, Andrea
collection PubMed
description BACKGROUND: During the COVID-19 pandemic, protective measures have been prescribed to prevent or slow down the spread of the SARS-CoV-2 virus and protect the population. Individuals follow these measures to varying degrees. We aimed to identify factors influencing the extent to which protective measures are adhered to. METHODS: A cross-sectional survey (telephone interviews) was undertaken between April and June 2021 to identify factors influencing the degree to which individuals adhere to protective measures. A representative sample of 1,003 people (age >16 years) in two Austrian states (Carinthia, Vorarlberg) was interviewed. The questionnaire was based on the Health Belief Model, but also included potential response-modifying factors. Predictors for adherent behavior were identified using multiple regression analysis. All predictors were standardized so that regression coefficients (β) could be compared. RESULTS: Overall median adherence was 0.75 (IQR: 0.5–1.0). Based on a regression model, the following variables were identified as significant in raising adherence: higher age (β = 0.43, 95%CI: 0.33–0.54), social standards of acceptable behavior (β = 0.33, 95%CI: 0.27–0.40), subjective/individual assessment of an increased personal health risk (β = 0.12, 95%CI: 0.05–0.18), self-efficacy (β = 0.06, 95%CI: 0.02–0.10), female gender (β = 0.05, 95%CI: 0.01–0.08), and low corona fatigue (behavioral fatigue: β = −0.11, 95%CI: −0.18 to −0.03). The model showed that such aspects as personal trust in institutions, perceived difficulties in adopting health-promoting measures, and individual assessments of the risk of infection, had no significant influence. CONCLUSIONS: This study reveals that several factors significantly influence adherence to measures aimed at controlling the COVID-19 pandemic. To enhance adherence, the government, media, and other relevant stakeholders should take the findings into consideration when formulating policy. By developing social standards and promoting self-efficacy, individuals can influence the behavior of others and contribute toward coping with the pandemic.
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spelling pubmed-96324152022-11-04 Predictors for adherent behavior in the COVID-19 pandemic: A cross-sectional telephone survey Siebenhofer, Andrea Könczöl, Clemens Jeitler, Klaus Schmid, Daniela Elliott, Phillip Avian, Alexander Front Public Health Public Health BACKGROUND: During the COVID-19 pandemic, protective measures have been prescribed to prevent or slow down the spread of the SARS-CoV-2 virus and protect the population. Individuals follow these measures to varying degrees. We aimed to identify factors influencing the extent to which protective measures are adhered to. METHODS: A cross-sectional survey (telephone interviews) was undertaken between April and June 2021 to identify factors influencing the degree to which individuals adhere to protective measures. A representative sample of 1,003 people (age >16 years) in two Austrian states (Carinthia, Vorarlberg) was interviewed. The questionnaire was based on the Health Belief Model, but also included potential response-modifying factors. Predictors for adherent behavior were identified using multiple regression analysis. All predictors were standardized so that regression coefficients (β) could be compared. RESULTS: Overall median adherence was 0.75 (IQR: 0.5–1.0). Based on a regression model, the following variables were identified as significant in raising adherence: higher age (β = 0.43, 95%CI: 0.33–0.54), social standards of acceptable behavior (β = 0.33, 95%CI: 0.27–0.40), subjective/individual assessment of an increased personal health risk (β = 0.12, 95%CI: 0.05–0.18), self-efficacy (β = 0.06, 95%CI: 0.02–0.10), female gender (β = 0.05, 95%CI: 0.01–0.08), and low corona fatigue (behavioral fatigue: β = −0.11, 95%CI: −0.18 to −0.03). The model showed that such aspects as personal trust in institutions, perceived difficulties in adopting health-promoting measures, and individual assessments of the risk of infection, had no significant influence. CONCLUSIONS: This study reveals that several factors significantly influence adherence to measures aimed at controlling the COVID-19 pandemic. To enhance adherence, the government, media, and other relevant stakeholders should take the findings into consideration when formulating policy. By developing social standards and promoting self-efficacy, individuals can influence the behavior of others and contribute toward coping with the pandemic. Frontiers Media S.A. 2022-10-20 /pmc/articles/PMC9632415/ /pubmed/36339221 http://dx.doi.org/10.3389/fpubh.2022.894128 Text en Copyright © 2022 Siebenhofer, Könczöl, Jeitler, Schmid, Elliott and Avian. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Siebenhofer, Andrea
Könczöl, Clemens
Jeitler, Klaus
Schmid, Daniela
Elliott, Phillip
Avian, Alexander
Predictors for adherent behavior in the COVID-19 pandemic: A cross-sectional telephone survey
title Predictors for adherent behavior in the COVID-19 pandemic: A cross-sectional telephone survey
title_full Predictors for adherent behavior in the COVID-19 pandemic: A cross-sectional telephone survey
title_fullStr Predictors for adherent behavior in the COVID-19 pandemic: A cross-sectional telephone survey
title_full_unstemmed Predictors for adherent behavior in the COVID-19 pandemic: A cross-sectional telephone survey
title_short Predictors for adherent behavior in the COVID-19 pandemic: A cross-sectional telephone survey
title_sort predictors for adherent behavior in the covid-19 pandemic: a cross-sectional telephone survey
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632415/
https://www.ncbi.nlm.nih.gov/pubmed/36339221
http://dx.doi.org/10.3389/fpubh.2022.894128
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