Evidence map›Paper›PMID 39450566›Full record

ArticleBJPsych open2024

'I am more stressed if my infection affects others': development of a COVID-19-related stress scale in older people and examination of its validity and associations with mental health risks.

Tianyin Liu, Lesley Cai Yin Sze, Eric Kwok Lun Yiu, Edwin Lok Yan Wong, Dara Kiu Yi Leung, Wai-Wai Kwok, Jennifer Tang, Jiaqi Xu, Gloria Wong, Terry Lum

Abstract read
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Article in BJPsych open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Tianyin LiuDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong.ORCID https://orcid.org/0000-0002-8194-5342
Lesley Cai Yin SzeCounseling and Wellness Center, The Hong Kong University of Science and Technology, Hong Kong.
Eric Kwok Lun YiuDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong.
Edwin Lok Yan WongSchool of Psychology, University of Birmingham, UK.
Dara Kiu Yi LeungDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong.
Wai-Wai KwokDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong.
Jennifer TangDepartment of Educational Psychology, The Chinese University of Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0002-4160-1713
Jiaqi XuDepartment of Psychology, The University of Hong Kong, Hong Kong.
Gloria WongDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0002-1331-942X
Terry LumDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 was a collective traumatic event; however, different individuals may have perceived it differently.

aimsThis study investigated what older people in a collective culture perceived as stressful during COVID-19 and examined how different stressors related to COVID-19 infection and mental health risks.

methodThirty-six participants from diverse backgrounds engaged in a three-round Delphi study to generate items for a COVID-19-related stress scale for older adults (CSS-OA). Subsequently, 4674 people (aged ≥60 years) participated in a cross-sectional telephone survey; interviewers collected their responses to CSS-OA and information about COVID-19 infection, depressive symptoms, anxiety, loneliness and demographics. Exploratory factor analysis and confirmatory factor analysis were conducted on CSS-OA. A multiple indicator multiple cause (MIMIC) model was used to examine associations between CSS-OA and other measures.

resultsThe Delphi process generated eight items, all secondary or tertiary stressors related to infection. Exploratory factor analysis revealed a three-factor model, and confirmatory factor analysis confirmed an excellent fit (comparative fit index = 0.99, root mean square error of approximation = 0.06). Pre-existing mental health conditions, having family members/friends infected with COVID-19, loneliness, anxiety and depressive symptoms were associated with higher stress. Conversely, self-infection with COVID-19, older age, being female and living alone were negatively associated with some domains of CSS-OA (all

conclusionsThe Delphi process enhanced our understanding of what older people perceived as stressful, much of which resulted from certain healthcare strategies and reflected cultural influences. These and the MIMIC results highlight the need to balance public health policies with respect to infectious diseases and older people's mental health and quality of life.

Indexed as

bottom-up approachCOVID-19measurementmental healthMixed-methods

Identifiers

PMID39450566
PMCPMC11698184

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.