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Excess suicide attributable to the COVID-19 pandemic and social disparities in South Korea
- Title
- Excess suicide attributable to the COVID-19 pandemic and social disparities in South Korea
- Authors
- Min J.; Oh J.; Kim S.I.; Kang C.; Ha E.; Kim H.; Lee W.
- Ewha Authors
- 하은희; 김수인
- SCOPUS Author ID
- 하은희; 김수인
- Issue Date
- 2022
- Journal Title
- Scientific Reports
- ISSN
- 2045-2322
- Citation
- Scientific Reports vol. 12, no. 1
- Publisher
- Nature Research
- Indexed
- SCIE; SCOPUS
- Document Type
- Article
- Abstract
- The impact of COVID-19 pandemic on suicide remains unclear and might differ according to individuals’ socioeconomic characteristics. We aimed to investigate excess suicide attributable to COVID-19 in South Korea, stratified by the outbreak period and individual characteristics. We obtained daily time-series suicide mortality data for January 2017–December 2020 from the Korea National Statistics Office and performed a two-stage interrupted time-series analysis. We estimated excess suicide in 16 regions of Korea using a quasi-Poisson time-series regression model and pooled the region-specific estimates using a mixed-effects multivariate meta-analysis model in the first and second stages, respectively. From February 18 to December 31, 2020, suicide decreased by 9.5% [95% empirical confidence interval (eCI): 3.8%, 15.6%] compared to the number expected from the pre-pandemic period. The decrease in excess suicide risk from the initial pandemic was pronounced during the pandemic’s first and third waves. Further, we found that the decrease in suicide was more evident in individuals who were male [11.7% (95% eCI: 5.5%, 18.0%)], middle-aged [13.7% (95% eCI: 7.8%, 19.6%)], highly educated [12.6% (95% eCI: 6.4%, 19.4%)], and married [13.6% (95% eCI: 8.0%, 20.3%)] than in the general population, based on the point estimates. Our results provide timely evidence to establish public health policies for suicide prevention and suggest the prioritization of resource allocation for mental health of individuals based on individual characteristics. © 2022, The Author(s).
- DOI
- 10.1038/s41598-022-22751-7
- Appears in Collections:
- 의과대학 > 의학과 > Journal papers
- Files in This Item:
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s41598-022-22751-7.pdf(2.03 MB)
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