Evidence map›Paper›PMID 40332542›Full record

ArticleSocial psychiatry and psychiatric epidemiology2025

Change in psychological distress and associated factors among Hong Kong young adults in post-COVID-19 era: a latent transition analysis.

Haorui Li, Ted Chun Tat Fong, Yu Cheng Hsu, Wendy Wing Yan So, Tsz Mei Lam, William G Hayward, Paul Siu Fai Yip

Abstract read
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Article in Social psychiatry and psychiatric epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Haorui LiDepartment of Social Work and Social Administration, The University of Hong Kong, Pokfulam, Hong Kong SAR.
Ted Chun Tat FongCentre on Behavioral Health, The University of Hong Kong, Pokfulam, Hong Kong SAR.ORCID http://orcid.org/0000-0001-5210-5531
Yu Cheng HsuThe Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Pokfulam, Hong Kong SAR.
Wendy Wing Yan SoThe Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Pokfulam, Hong Kong SAR.
Tsz Mei LamThe Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Pokfulam, Hong Kong SAR.
William G HaywardDepartment of Psychology, Lingnan University, Tuen Mun,, Hong Kong SAR.ORCID http://orcid.org/0000-0002-7248-0301
Paul Siu Fai YipDepartment of Social Work and Social Administration, The University of Hong Kong, Pokfulam, Hong Kong SAR. sfpyip@hku.hk.ORCID http://orcid.org/0000-0003-1596-4120

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe COVID-19 pandemic has brought negative impacts on young adults' mental health. The present study aimed to examine the transition of psychological distress classes in young adults after the pandemic and the associated factors.

methodsA total of 577 young adults (mean age = 25.9 years, SD = 4.4) in Hong Kong participated in a longitudinal online survey on mental health in 2022 and 2023. The participants completed the 10-item Chinese Health Questionnaire and self-constructed items on COVID-19 distress, financial distress, and social distress. Latent class analysis was used to classify the participants into latent classes of psychological distress. Latent transition analysis was conducted with measurement invariance to examine the transition amongst the latent classes from 2022 to 2023 and the associations with changes in the stressors.

resultsThe data supported three latent classes of psychological distress. A third of the participants belonged to the High-distress class with elevated symptoms and its prevalence decreased from 34.3% to 27.8% over one year. 40.9% and 10.0% of the Moderate-distress and High-distress classes transitioned to the Low-distress class after the pandemic, respectively. Financial distress (OR = 3.14, 95% CI = 1.17-8.41) and social distress (OR = 3.25, 95% CI = 1.70-6.21) was significantly linked to higher odds of transitioning from the Low-distress to High-distress class. Increased social distress was associated with decreased odds (OR = 0.57, 95% CI = 0.39-0.84) of improvement from the High-distress to Moderate-distress class.

conclusionThe findings suggest an overall reduction in psychological distress among young adults after the pandemic. Increases in financial and social distresses after COVID-19 showed significant effects on worsening psychological distress.

Indexed as

COVID-19Financial StressMental HealthPsychological DistressStress, PsychologicalAdolescentAdultFemaleHong KongHumansLatent Class AnalysisLongitudinal StudiesMalePandemicsPrevalenceSARS-CoV-2ChineseLatent transition analysisMental healthPost-pandemicSocial distressYoung adults

Identifiers

PMID40332542
PMCPMC12594645

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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.