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http://hdl.handle.net/10397/92641
Title: | Predicting public adherence to COVID-19 preventive measures : a cross-sectional study in Hong Kong | Authors: | Yan, E Lai, DWL Lee, VWP Ng, HKL |
Issue Date: | Dec-2021 | Source: | International journal of environmental research and public health, Dec. 2021, v. 18, no. 23, 12403 | Abstract: | Objectives: To effectively control the spread of COVID-19, the public’s adherence to rele-vant disease preventive measures (DPM) is critical. This study examined individuals’ adherence to various DPM and identified facilitators and barriers to adherence in a community sample in Hong Kong. Methods: In this cross-sectional study, telephone surveys were conducted over December 2020 and January 2021. Participants provided responses on their adherence to DPM as well as other psychosocial and cognitive factors via the phone. Results: Of the sample of 1255 Chinese adults (aged >18 years, 53% women), 94.4% wore face masks in public areas; 88.4% avoided touching their eyes, nose, and mouth; 82.1% performed hand hygiene practices; 81.5% used alcohol-based hand rubs; 74.6% abided by social distancing; and 39.7% tested for COVID-19 on a voluntary basis. Perceived benefits, perceived barriers, self-efficacy, cues to action, perceived acceptability, and disrup-tions to daily life related to COVID-19 were associated with individuals’ adherence to DPM. Con-clusion: Adherence to DPM was strong in Hong Kong, and the adherence level could be predicted by various factors. It is vital to consider these factors in order to improve the public’s adherence. |
Keywords: | Adherence COVID-19 Health belief Pandemics Preventive measures |
Publisher: | Molecular Diversity Preservation International (MDPI) | Journal: | International journal of environmental research and public health | ISSN: | 1661-7827 | EISSN: | 1660-4601 | DOI: | 10.3390/ijerph182312403 | Rights: | Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). The following publication Yan, E.; Lai, D.W.L.; Lee, V.W.P.; Ng, H.K.L. Predicting Public Adherence to COVID-19 Preventive Measures: A Cross-Sectional Study in Hong Kong. Int. J. Environ. Res. Public Health 2021, 18, 12403 is available https://doi.org/10.3390/ijerph182312403. |
Appears in Collections: | Journal/Magazine Article |
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44667_1. Predicting Public Adherence to COVID-19 Preventive Measures.pdf | 334.39 kB | Adobe PDF | View/Open |
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