Patterns of Perceived Harms and Benefits of the COVID-19 Outbreak in Hong Kong Adults: A Latent Profile Analysis
Bo-Wen Chen,
Wei-Jie Gong,
Agnes Yuen-Kwan Lai,
Shirley Man-Man Sit,
Sai-Yin Ho,
Man-Ping Wang,
Nancy Xiaonan Yu and
Tai-Hing Lam
Additional contact information
Bo-Wen Chen: Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, China
Wei-Jie Gong: School of Public Health, The University of Hong Kong, Hong Kong, China
Agnes Yuen-Kwan Lai: School of Nursing, The University of Hong Kong, Hong Kong, China
Shirley Man-Man Sit: School of Public Health, The University of Hong Kong, Hong Kong, China
Sai-Yin Ho: School of Public Health, The University of Hong Kong, Hong Kong, China
Man-Ping Wang: School of Nursing, The University of Hong Kong, Hong Kong, China
Nancy Xiaonan Yu: Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, China
Tai-Hing Lam: School of Public Health, The University of Hong Kong, Hong Kong, China
IJERPH, 2022, vol. 19, issue 7, 1-12
Abstract:
The COVID-19 pandemic caused different types of harms and benefits, but the combined patterns of perceived harms and benefits are unclear. We aimed to identify the patterns of perceived harms and benefits of the COVID-19 outbreak and to examine their associations with socio-demographic characteristics, happiness, and changes in smoking and drinking. A population-based cross-sectional online survey was conducted in May 2020 on Hong Kong adults (N = 4520). Patterns of perceived harms and benefits of COVID-19 were identified using latent profile analysis. Their associations with socio-demographic characteristics, happiness, and changes in smoking and drinking were examined using multinomial logistic regression. We identified three distinct patterns: indifferent (66.37%), harm (13.28%), and benefit (20.35%). Compared with the indifferent subgroup, the harm subgroup was younger, less happy, and had increased drinking, and hence might be at higher risk, whereas the benefit subgroup was more likely to be female, live with one or more cohabitants, have postsecondary education, be happier, and have decreased drinking, and could be more adaptive. Future studies can target the harm subgroup to facilitate their positive adjustments.
Keywords: COVID-19; meaning making; perceived harm; perceived benefit; latent profile analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1660-4601/19/7/4352/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/7/4352/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:7:p:4352-:d:787097
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().