Evidence map›Paper›PMID 36155236›Full record

ArticleJournal of affective disorders2022

Self-compassion predicted joint trajectories of depression and anxiety symptoms during the COVID-19 pandemic: A five-wave longitudinal study on Chinese college students.

Kaixin Liang, Liuyue Huang, Diyang Qu, He Bu, Xinli Chi

Abstract read
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Article in Journal of affective disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
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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

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kaixin LiangSchool of Psychology, Shenzhen University, Shenzhen, China.
Liuyue HuangSchool of Psychology, Shenzhen University, Shenzhen, China; Department of Psychology, Faculty of Social Sciences, University of Macau, Macau SAR, China.
Diyang QuDepartment of Social and Behavioral Sciences, City University of Hong Kong, Hong Kong, China.
He BuDepartment of Social and Behavioral Sciences, City University of Hong Kong, Hong Kong, China.
Xinli ChiSchool of Psychology, Shenzhen University, Shenzhen, China. Electronic address: xinlichi@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe long-term protective effect of self-compassion on mental health remained unclear in the pandemic context. This study aimed to investigate the trajectories of depression and anxiety symptoms and the role of self-compassion during the pandemic.

methodsIn this one-year five-wave longitudinal study (retested every three months from February 2020 to February 2021), 494 Chinese college students completed the study through online questionnaires and provided information on depression and anxiety symptoms, self-compassion, and sociodemographic variables. Independent and joint trajectories of depression and anxiety symptoms were explored by growth mixture models. Predictive effects of self-compassion on trajectories were examined by logistic regression models.

resultsFour and three heterogeneous latent trajectories were identified for depression and anxiety symptoms, respectively. Three distinct joint trajectories of depression and anxiety were determined: low symptoms group (54.0 %), mild symptoms group (34.4 %), and risk group (11.5 %). Participants with higher levels of self-compassion were more likely to follow the low symptoms trajectory of depression and anxiety symptoms (all p < 0.001).

conclusionsGroup heterogeneity existed in the trajectories of depression and anxiety symptoms. Improving the levels of self-compassion would help to prevent and alleviate depression and anxiety symptoms. Programs based on self-compassion are encouraged to cope with the mental health challenges in the pandemic context.

Indexed as

COVID-19DepressionAnxietyChinaHumansLongitudinal StudiesPandemicsSelf-CompassionStudentsAnxietyCollege studentsCOVID-19 pandemicDepressionLongitudinal studyMental healthSelf-compassion

Identifiers

PMID36155236
PMCPMC9499990

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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.