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Dataset Information

Predictors of Psychological Distress and Resilience in the Post-COVID-19 Era.


ABSTRACT:

Background

The COVID-19 global pandemic has had profound effects on mental health and wellbeing. The present study examined trends in distress and recovery in the aftermath of COVID-19 in China. Predictors that might increase risks or provide protections again distress were explored.

Method

Participants were recruited using social media during the COVID-19 pandemic to complete a baseline and 6-week follow-up survey (N = 241). The change patterns of PTSD symptoms from baseline to follow-up were characterized using latent class growth analysis (LCGA). A repeated-measures ANOVA was conducted to explore the differences in the depressive symptoms across trajectory groups. Multinominal logistic regression was performed to investigate potential predictors of the outcome trajectorie

SUBMITTER: Lin T 

PROVIDER: S-EPMC8533665 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature