Excess mortality and the COVID-19 pandemic: causes of death and social inequalities

被引:16
作者
Oh, Jieun [1 ]
Min, Jieun [2 ,3 ]
Kang, Cinoo [1 ]
Kim, Ejin [4 ,5 ]
Lee, Jung Pyo [6 ]
Kim, Ho [1 ]
Lee, Whanhee [7 ]
机构
[1] Seoul Natl Univ, Grad Sch Publ Hlth, Dept Publ Hlth Sci, Seoul 08826, South Korea
[2] Ewha Womans Univ, Coll Med, Dept Environm Med, Seoul, South Korea
[3] Ewha Womans Univ, Coll Med, Grad Program Syst Hlth Sci & Engn, Seoul, South Korea
[4] Seoul Natl Univ, Inst Hlth & Environm, Seoul, South Korea
[5] Seoul Natl Univ, Grad Sch Publ Hlth, Seoul, South Korea
[6] Seoul Natl Univ, Boramae Med Ctr, Dept Internal Med, Seoul, South Korea
[7] Pusan Natl Univ, Coll Informat & Biomed Engn, Sch Biomed Convergence Engn, Yangsan 50612, South Korea
关键词
Excess mortality; COVID-19; Cause-specific mortality; Social inequality; HEALTH;
D O I
10.1186/s12889-022-14785-3
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: During the coronavirus diseases 2019 (COVID-19) pandemic, population's mortality has been affected not only by the risk of infection itself, but also through deferred care for other causes and changes in lifestyle. This study aims to investigate excess mortality by cause of death and socio-demographic context during the COVID-19 pandemic in South Korea. Methods: Mortality data within the period 2015-2020 were obtained from Statistics Korea, and deaths from COVID-19 were excluded. We estimated 2020 daily excess deaths for all causes, the eight leading causes of death, and according to individual characteristics, using a two-stage interrupted time series design accounting for temporal trends and variations in other risk factors. Results: During the pandemic period (February 18 to December 31, 2020), an estimated 663 (95% empirical confidence interval [eCI]: -2356-3584) excess deaths occurred in South Korea. Mortality related to respiratory diseases decreased by 4371 (3452-5480), whereas deaths due to metabolic diseases and ill-defined causes increased by 808 (456-1080) and 2756 (2021-3378), respectively. The increase in all-cause deaths was prominent in those aged 65-79 years (941, 88-1795), with an elementary school education or below (1757, 371-3030), or who were single (785, 384-1174), while a decrease in deaths was pronounced in those with a college-level or higher educational attainment (1471, 589-2328). Conclusion: No evidence of a substantial increase in all-cause mortality was found during the 2020 pandemic period in South Korea, as a result of a large decrease in deaths related to respiratory diseases that offset increased mortality from metabolic disease and diseases of ill-defined cause. The COVID-19 pandemic has disproportionately affected those of lower socioeconomic status and has exacerbated inequalities in mortality.
引用
收藏
页数:11
相关论文
共 40 条
[1]   THE EVOLVING CONCEPT OF THE HEALTHY WORKER SURVIVOR EFFECT [J].
ARRIGHI, HM ;
HERTZPICCIOTTO, I .
EPIDEMIOLOGY, 1994, 5 (02) :189-196
[2]   Excess mortality: the gold standard in measuring the impact of COVID-19 worldwide? [J].
Beaney, Thomas ;
Clarke, Jonathan M. ;
Jain, Vageesh ;
Golestaneh, Amelia Kataria ;
Lyons, Gemma ;
Salman, David ;
Majeed, Azeem .
JOURNAL OF THE ROYAL SOCIETY OF MEDICINE, 2020, 113 (09) :329-334
[3]   Time series regression studies in environmental epidemiology [J].
Bhaskaran, Krishnan ;
Gasparrini, Antonio ;
Hajat, Shakoor ;
Smeeth, Liam ;
Armstrong, Ben .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2013, 42 (04) :1187-1195
[4]  
Calderon-Larranaga Amaia, 2020, BMJ Glob Health, V5, DOI 10.1136/bmjgh-2020-003595
[5]   Associations Between Individual Demographic Characteristics And Involuntary Health Care Delays As A Result Of COVID-19 [J].
Callison, Kevin ;
Ward, Jason .
HEALTH AFFAIRS, 2021, 40 (05) :837-843
[6]   COVID-19 non-pharmaceutical intervention portfolio effectiveness and risk communication predominance [J].
Chan, Louis Yat Hin ;
Yuan, Baoyin ;
Convertino, Matteo .
SCIENTIFIC REPORTS, 2021, 11 (01)
[7]   Quantifying the effects of the COVID-19 pandemic on gender equality on health, social, and economic indicators: a comprehensive review of data from March, 2020, to September, 2021 [J].
Flor, Luisa S. ;
Friedman, Joseph ;
Spencer, Cory N. ;
Cagney, John ;
Arrieta, Alejandra ;
Herbert, Molly E. ;
Stein, Caroline ;
Mullany, Erin C. ;
Hon, Julia ;
Patwardhan, Vedavati ;
Barber, Ryan M. ;
Collins, James K. ;
Hay, Simon, I ;
Lim, Stephen S. ;
Lozano, Rafael ;
Mokdad, Ali H. ;
Murray, Christopher J. L. ;
Reiner, Robert C., Jr. ;
Sorensen, Reed J. D. ;
Haakenstad, Annie ;
Pigott, David M. ;
Gakidou, Emmanuela .
LANCET, 2022, 399 (10344) :2381-2397
[8]   Multivariate meta-analysis for non-linear and other multi-parameter associations [J].
Gasparrini, A. ;
Armstrong, B. ;
Kenward, M. G. .
STATISTICS IN MEDICINE, 2012, 31 (29) :3821-3839
[9]   Mortality risk attributable to high and low ambient temperature: a multicountry observational study [J].
Gasparrini, Antonio ;
Guo, Yuming ;
Hashizume, Masahiro ;
Lavigne, Eric ;
Zanobetti, Antonella ;
Schwartz, Joel ;
Tobias, Aurelio ;
Tong, Shilu ;
Rocklov, Joacim ;
Forsberg, Bertil ;
Leone, Michela ;
De Sario, Manuela ;
Bell, Michelle L. ;
Guo, Yue-Liang Leon ;
Wu, Chang-fu ;
Kan, Haidong ;
Yi, Seung-Muk ;
Zanotti Stagliorio Coelho, Micheline de Sousa ;
Nascimento Saldiva, Paulo Hilario ;
Honda, Yasushi ;
Kim, Ho ;
Armstrong, Ben .
LANCET, 2015, 386 (9991) :369-375
[10]   Modeling exposure-lag-response associations with distributed lag non-linear models [J].
Gasparrini, Antonio .
STATISTICS IN MEDICINE, 2014, 33 (05) :881-899