A Systematic Review and Meta-Analysis of the Mental Health Symptoms during the Covid-19 Pandemic in Southeast Asia

Aims: The Covid-19 pandemic has had a substantial impact on the mental health of the general public and high-risk groups across the globe. Southeast Asia, one of the first regions to be affected by the outbreak, is of particular interest given its proximity and close links to China, experience with recent epidemics (i.e. SARS), and the variable course of the outbreak in the region thus far. The aim of this study was to systemically review and assess the prevalence of anxiety, depression and insomnia symptoms in the general adult population, frontline and general healthcare workers (HCWs), and adult students in Southeast Asia during the course of the first year of the Covid-19 pandemic. Methods: Several literature databases (PubMed, Embase, PsycINFO, Web of Science, and medRxiv) were systemically searched for articles published up to February 2021. Two reviewers independently evaluated all the relevant studies using pre-determined criteria and assessed the risk of bias for each included study. The prevalence rates of mental health symptoms were estimated using a random-effect meta-analysis model. Results: In total, 32 samples from 25 studies with 20,352 participants were included. Anxiety symptoms was assessed in all 25 studies and depressive symptoms in 15 studies with pooled prevalence rates of 22% and 16% respectively. Only two studies evaluated insomnia, whose prevalence was estimated to be 19%. The overall prevalence of mental health disorders was similar amongst frontline HCWs (18%), general HCWs (17%), and students (20%) whilst being noticeably higher in the general population (27%). Conclusions: The results indicate that a considerable proportion of participants report the presence of anxiety, depression and insomnia symptoms. However, the pooled prevalence rates in Southeast Asia are significantly lower than those reported in other meta-analyses from other areas such as China and Europe. This meta-analysis may provide valuable evidence for more targeted identification of mental health needs and guide future research of long-term outcomes. Keywords: meta-analysis; Covid-19; mental health; pandemic; general population; healthcare workers; students; anxiety; depression; insomnia