SynthesisJournal of affective disorders2022
COVID-19 depression and its risk factors in Asia Pacific - A systematic review and meta-analysis.
Synthesis 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 34 papers, 8 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
34 citing papers in PubMed, 8 syntheses or guidelines pooled it, 63 citations in OpenAlex.
- An umbrella review of the prevalence of depression during the COVID-19 pandemic: Call to action for post-COVID-19 at the global level.BMC public health · 2024Pooled it
- Estimation of the prevalence of anxiety during the COVID-19 pandemic: A meta-analysis of meta-analyses.BMC public health · 2024Pooled it
- Global prevalence of self-harm during the COVID-19 pandemic: a systematic review and meta-analysis.BMC psychology · 2023Pooled it
- COVID-19 and common mental health symptoms in the early phase of the pandemic: An umbrella review of the evidence.PLoS medicine · 2023Pooled it
- The prevalence and risk factors of mental problems in medical students during COVID-19 pandemic: A systematic review and meta-analysis.Journal of affective disorders · 2023Pooled it
- Prevalence and factors associated with depression, anxiety and stress in Malaysia during COVID-19 pandemic: A systematic review.PloS one · 2023Pooled it
- Burnout status of healthcare workers in the world during the peak period of the COVID-19 pandemic.Frontiers in psychology · 2022Pooled it
- Prevalence of anxiety, depressive and insomnia symptoms among the different groups of people during COVID-19 pandemic: An overview of systematic reviews and meta-analyses.Frontiers in psychology · 2022Pooled it
- Factors Associated with Acute and Persistence of Depressive Symptoms among the General Population during the COVID-19 Pandemic in South Korea: An Online Longitudinal Survey Study.Chonnam medical journal · 2026Article
- Machine learning-based nomogram for predicting depressive symptoms in women: A cross-sectional study in Guangdong Province, China.World journal of psychiatry · 2025Article
- Influence of sleep duration and quality on depression symptoms among nurses during the Omicron outbreak: a cross-sectional survey.BMC nursing · 2025Article
- Article
- Mental health status and quality of life among Thai people after the COVID-19 outbreak: a cross-sectional study.Scientific reports · 2024Article
- Effects and neural mechanisms of different physical activity on major depressive disorder based on cerebral multimodality monitoring: a narrative review.Frontiers in human neuroscience · 2024Review
- Development of Visible Spectrophotometric Methods for the Determination of Tricyclic Antidepressants Based on Formation of Molecular Complexes withInternational journal of molecular sciences · 2023Article
- Attitudes toward COVID-19 pandemic measures and clinical symptom severity in schizophrenia patients: a preliminary cross-sectional study.The Journal of international medical research · 2023Article
- Impact of continued mindfulness practice on resilience and well-being in mindfulness-based intervention graduates during the COVID-19 pandemic: A cross-sectional study.PCN reports : psychiatry and clinical neurosciences · 2023Article
- Change of human flourishing during the COVID-19 pandemic in Japan: Results from population-based U-CORONA study.SSM - population health · 2023Article
- Curcumin: Overview of Extraction Methods, Health Benefits, and Encapsulation and Delivery Using Microemulsions and Nanoemulsions.International journal of molecular sciences · 2023Review
- Symptoms and risk factors of depression and PTSD in the prolonged COVID-19 pandemic: a longitudinal survey conducted from 2020 to 2022 in Japan.BMC psychiatry · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis systematic review and meta-analysis aim to synthesize the extant literature reporting the effects of COVID-19 pandemic based on the pooled prevalence of depression among affected populations in Asia Pacific, as well as its risk factors.
methodA systematic review and meta-analysis approach was adopted as per the PRISMA guidelines, targeting articles published in PubMed, Google Scholar and Scopus from January 2021 to March 30, 2021. The screening resulted in 82 papers.
resultsThe overall pooled depression prevalence among 201,953 respondents was 34% (95%CI, 29-38, 99.7%), with no significant differences observed between the cohorts, timelines, and regions (p > 0.05). Dominant risk factors found were fear of COVID-19 infection (13%), gender (i.e., females; 12%) and deterioration of underlying medical conditions (8.3%), regardless of the sub-groups. Specifically, fear of COVID-19 infection was the most reported risk factor among general population (k = 14) and healthcare workers (k = 8). Gender (k = 7) and increased workload (k = 7) were reported among healthcare workers whereas education disruption among students (k = 7). LIMITATION: The review is limited to articles published in three electronic databases. Conclusion The pandemic has caused depression among the populations across Asia Pacific, specifically among the general population, healthcare workers and students. Immediate attention and interventions from the concerned authorities are needed in addressing this issue.
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Registered trials
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.