Evidence map›Paper›PMID 36792591›Full record

ArticleTranslational psychiatry2023

The interrelations between psychological outcome trajectories and resource changes amid large-scale disasters: A growth mixture modeling analysis.

Tiffany Junchen Tao, Li Liang, Huinan Liu, Stevan E Hobfoll, Wai Kai Hou, George A Bonanno

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Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tiffany Junchen Tao *Centre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-5809-4631
Li Liang *Centre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-2963-5005
Huinan LiuCentre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China.
Stevan E HobfollSTAR Consultants-STress, Anxiety and Resilience, Salt Lake City, UT, USA.
Wai Kai HouCentre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China. wkhou@eduhk.hk.ORCID 0000-0003-1402-2318
George A BonannoDepartment of Counseling and Clinical Psychology, Teachers College, Columbia University, New York, NY, 10027, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently little is known about the interrelations between changes in psychiatric symptoms and changes in resources (personal, social, financial) amid large-scale disasters. This study investigated trajectories of psychiatric symptoms and their relationships with different patterns of changes in personal, social, and financial resources between 2020 and 2022 amid the COVID-19 pandemic. A population-representative sample (N = 1333) was recruited to complete self-report instruments at the pandemic's acute phase (February-July 2020, T1), and again at 1-year (March-August 2021, T2) and 1.5-year (September 2021-February 2022, T3) follow-ups. Respondents reported depressive and anxiety symptoms, self-efficacy, perceived social support, and financial capacity. Growth mixture modeling (GMM) identified four trajectories of depressive and anxiety symptoms: resilience (72.39-74.19%), recovery (8.40-11.93%), delayed distress (7.20-7.35%), and chronic distress (8.33-10.20%). Four patterns were demonstrated in resource changes: persistent high resources (40.89-47.64%), resource gain (12.08-15.60%), resource loss (6.30-10.43%), and persistent low resources (28.73-36.61%). Loss and gain in financial resources characterized chronic distress and resilience, respectively. Loss in personal resources characterized delayed distress, whereas loss or no gain in social resources was related to chronic/delayed distress. Respondents in resilience were also more likely to have persistent high resources while those with delayed/chronic distress were more likely to have persistent low resources. These results provide an initial evidence base for advancing current understanding on trajectories of resilience and psychopathology in the context of resource changes during and after large-scale disasters.

Indexed as

COVID-19DisastersMental DisordersResilience, PsychologicalDepressionHumansPandemics

Identifiers

PMID36792591
PMCPMC9930711

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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.