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...

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Main Authors: Ong, Yi Xuan, Kim, Hye Kyung, Pelzer, Benjamin O., Tan, Ying Ying, Lim, Wee Ping, Chua, Annabelle Kai Lin, Koh, Bei Yi
Other Authors: Wee Kim Wee School of Communication and Information
Format: Journal Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/168851
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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
author2 Wee Kim Wee School of Communication and Information
author_facet Wee Kim Wee School of Communication and Information
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 NTU
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.
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spelling ntu-10356/1688512023-06-25T15:33:12Z 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 Wee Kim Wee School of Communication and Information Social sciences::Communication Audience Segmentation Pandemic Communication 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. Published version This research was supported by the DSO National Laboratories (DSOCL21088). 2023-06-20T06:46:13Z 2023-06-20T06:46:13Z 2023 Journal Article Ong, Y. X., Kim, H. K., Pelzer, B. O., Tan, Y. Y., Lim, W. P., Chua, A. K. L. & Koh, B. Y. (2023). Profile identification and characterization of risk perceptions and preventive behaviors during the COVID-19 pandemic: a latent profile analysis. Frontiers in Psychology, 14, 1085208-. https://dx.doi.org/10.3389/fpsyg.2023.1085208 1664-1078 https://hdl.handle.net/10356/168851 10.3389/fpsyg.2023.1085208 36891206 2-s2.0-85149696856 14 1085208 en DSOCL21088 Frontiers in Psychology © 2023 Ong, Kim, Pelzer, Tan, Lim, Chua and Koh. 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. application/pdf
spellingShingle Social sciences::Communication
Audience Segmentation
Pandemic Communication
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 Social sciences::Communication
Audience Segmentation
Pandemic Communication
url https://hdl.handle.net/10356/168851
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