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Profile identification and characterization of risk perceptions and preventive behaviors during the COVID-19 pandemic: A latent profile analysis
In a public health crisis, communication plays a vital role in making sure policies and recommendations from the government level get disseminated accurately to its people and is only considered as effective when the public accepts, supports, complies to, and engages in policies or behaves as per go...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986486/ https://www.ncbi.nlm.nih.gov/pubmed/36891206 http://dx.doi.org/10.3389/fpsyg.2023.1085208 |
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author | Ong, Yi Xuan Kim, Hye Kyung Pelzer, Benjamin O. Tan, Ying Ying Lim, Wee Ping Chua, Annabelle Kai Lin Koh, Bei Yi |
author_facet | Ong, Yi Xuan Kim, Hye Kyung Pelzer, Benjamin O. Tan, Ying Ying Lim, Wee Ping Chua, Annabelle Kai Lin Koh, Bei Yi |
author_sort | Ong, Yi Xuan |
collection | PubMed |
description | In a public health crisis, communication plays a vital role in making sure policies and recommendations from the government level get disseminated accurately to its people and is only considered as effective when the public accepts, supports, complies to, and engages in policies or behaves as per governments’ recommendations. Adopting the multivariate audience segmentation strategy for health communication, this study uses a data-driven analytical method to (1) identify audience segments of public health crisis communication in Singapore based on knowledge, risk perception, emotional responses, and preventive behaviors; and (2) characterize each audience segment according to demographic factors, personality traits, information processing styles, and health information preferences. Results (N = 2033) from a web-based questionnaire executed in August 2021 have identified three audience segments: the less-concerned (n = 650), the risk-anxious (n = 142), and the risk-majority (n = 1,241). This study offers insights to how audiences of public health crisis communication perceive, process, and respond to information directed to them during the pandemic, thereby informing policy makers to tailor more targeted public health communication interventions in promoting positive attitude and behavior change. |
format | Online Article Text |
id | pubmed-9986486 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99864862023-03-07 Profile identification and characterization of risk perceptions and preventive behaviors during the COVID-19 pandemic: A latent profile analysis Ong, Yi Xuan Kim, Hye Kyung Pelzer, Benjamin O. Tan, Ying Ying Lim, Wee Ping Chua, Annabelle Kai Lin Koh, Bei Yi Front Psychol Psychology In a public health crisis, communication plays a vital role in making sure policies and recommendations from the government level get disseminated accurately to its people and is only considered as effective when the public accepts, supports, complies to, and engages in policies or behaves as per governments’ recommendations. Adopting the multivariate audience segmentation strategy for health communication, this study uses a data-driven analytical method to (1) identify audience segments of public health crisis communication in Singapore based on knowledge, risk perception, emotional responses, and preventive behaviors; and (2) characterize each audience segment according to demographic factors, personality traits, information processing styles, and health information preferences. Results (N = 2033) from a web-based questionnaire executed in August 2021 have identified three audience segments: the less-concerned (n = 650), the risk-anxious (n = 142), and the risk-majority (n = 1,241). This study offers insights to how audiences of public health crisis communication perceive, process, and respond to information directed to them during the pandemic, thereby informing policy makers to tailor more targeted public health communication interventions in promoting positive attitude and behavior change. Frontiers Media S.A. 2023-02-20 /pmc/articles/PMC9986486/ /pubmed/36891206 http://dx.doi.org/10.3389/fpsyg.2023.1085208 Text en Copyright © 2023 Ong, Kim, Pelzer, Tan, Lim, Chua and Koh. 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 | Psychology Ong, Yi Xuan Kim, Hye Kyung Pelzer, Benjamin O. Tan, Ying Ying Lim, Wee Ping Chua, Annabelle Kai Lin Koh, Bei Yi Profile identification and characterization of risk perceptions and preventive behaviors during the COVID-19 pandemic: A latent profile analysis |
title | Profile identification and characterization of risk perceptions and preventive behaviors during the COVID-19 pandemic: A latent profile analysis |
title_full | Profile identification and characterization of risk perceptions and preventive behaviors during the COVID-19 pandemic: A latent profile analysis |
title_fullStr | Profile identification and characterization of risk perceptions and preventive behaviors during the COVID-19 pandemic: A latent profile analysis |
title_full_unstemmed | Profile identification and characterization of risk perceptions and preventive behaviors during the COVID-19 pandemic: A latent profile analysis |
title_short | Profile identification and characterization of risk perceptions and preventive behaviors during the COVID-19 pandemic: A latent profile analysis |
title_sort | profile identification and characterization of risk perceptions and preventive behaviors during the covid-19 pandemic: a latent profile analysis |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986486/ https://www.ncbi.nlm.nih.gov/pubmed/36891206 http://dx.doi.org/10.3389/fpsyg.2023.1085208 |
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