{"title":"COVID-19大流行对日本大都市队列中老年人新的长期护理保险申请和全因死亡率的影响:一项中断时间序列分析","authors":"Satoshi Seino, Toshiki Hata, Hiroki Mori, Shoji Shinkai, Yoshinori Fujiwara, Erika Kobayashi","doi":"10.2188/jea.JE20240464","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>New long-term care insurance (LTCI) certifications and mortality are key outcomes in cohort studies involving older adults; however, the coronavirus disease 2019 (COVID-19)'s comprehensive impacts on these outcomes remain underexplored. We examined the pandemic's impact on new LTCI applications and all-cause mortality in a metropolitan cohort.</p><p><strong>Methods: </strong>In 2016, 15,500 individuals aged 65-84 years were randomly selected through stratified sampling from Ota City, Tokyo. LTCI and death records were tracked through December 2023; the monthly LTCI applications and all-cause deaths per 10,000 people were calculated. The COVID-19 pandemic period was defined as beginning in March 2020, after the World Health Organization Director-General characterized the situation as a pandemic on March 11, 2020. Interrupted time-series segmented regression analysis was used to compare trends pre- (January 2018-February 2020) and post-pandemic onset (March 2020-December 2023).</p><p><strong>Results: </strong>From January 2018 to December 2023, 4083 new LTCI applications and 2457 deaths were recorded. New monthly LTCI applications showed a modest upward trend pre-pandemic (0.4 per 10,000 people, 95% confidence interval [CI]: 0.1-0.8), declined sharply at the pandemic's onset (-9.6 per 10,000 people, 95% CI: -16.0 to -3.2), and subsequently increased at a higher rate than pre-pandemic levels (0.8 per 10,000 people, 95% CI: 0.6-1.0). Monthly all-cause deaths remained stable before and immediately after the pandemic's onset but rose slightly in the post-pandemic period (0.3 per 10,000 people per month, 95% CI: 0.2-0.5).</p><p><strong>Conclusions: </strong>The COVID-19 pandemic influenced both new LTCI applications and all-cause mortality in this study. These impacts should be carefully considered in cohort studies examining these outcomes.</p>","PeriodicalId":15799,"journal":{"name":"Journal of Epidemiology","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of the COVID-19 Pandemic on New Long-term Care Insurance Applications and All-Cause Mortality in Older Adults in a Japanese Metropolitan Cohort: An Interrupted Time-Series Analysis.\",\"authors\":\"Satoshi Seino, Toshiki Hata, Hiroki Mori, Shoji Shinkai, Yoshinori Fujiwara, Erika Kobayashi\",\"doi\":\"10.2188/jea.JE20240464\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>New long-term care insurance (LTCI) certifications and mortality are key outcomes in cohort studies involving older adults; however, the coronavirus disease 2019 (COVID-19)'s comprehensive impacts on these outcomes remain underexplored. We examined the pandemic's impact on new LTCI applications and all-cause mortality in a metropolitan cohort.</p><p><strong>Methods: </strong>In 2016, 15,500 individuals aged 65-84 years were randomly selected through stratified sampling from Ota City, Tokyo. LTCI and death records were tracked through December 2023; the monthly LTCI applications and all-cause deaths per 10,000 people were calculated. The COVID-19 pandemic period was defined as beginning in March 2020, after the World Health Organization Director-General characterized the situation as a pandemic on March 11, 2020. Interrupted time-series segmented regression analysis was used to compare trends pre- (January 2018-February 2020) and post-pandemic onset (March 2020-December 2023).</p><p><strong>Results: </strong>From January 2018 to December 2023, 4083 new LTCI applications and 2457 deaths were recorded. New monthly LTCI applications showed a modest upward trend pre-pandemic (0.4 per 10,000 people, 95% confidence interval [CI]: 0.1-0.8), declined sharply at the pandemic's onset (-9.6 per 10,000 people, 95% CI: -16.0 to -3.2), and subsequently increased at a higher rate than pre-pandemic levels (0.8 per 10,000 people, 95% CI: 0.6-1.0). Monthly all-cause deaths remained stable before and immediately after the pandemic's onset but rose slightly in the post-pandemic period (0.3 per 10,000 people per month, 95% CI: 0.2-0.5).</p><p><strong>Conclusions: </strong>The COVID-19 pandemic influenced both new LTCI applications and all-cause mortality in this study. These impacts should be carefully considered in cohort studies examining these outcomes.</p>\",\"PeriodicalId\":15799,\"journal\":{\"name\":\"Journal of Epidemiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Epidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2188/jea.JE20240464\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2188/jea.JE20240464","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Impact of the COVID-19 Pandemic on New Long-term Care Insurance Applications and All-Cause Mortality in Older Adults in a Japanese Metropolitan Cohort: An Interrupted Time-Series Analysis.
Purpose: New long-term care insurance (LTCI) certifications and mortality are key outcomes in cohort studies involving older adults; however, the coronavirus disease 2019 (COVID-19)'s comprehensive impacts on these outcomes remain underexplored. We examined the pandemic's impact on new LTCI applications and all-cause mortality in a metropolitan cohort.
Methods: In 2016, 15,500 individuals aged 65-84 years were randomly selected through stratified sampling from Ota City, Tokyo. LTCI and death records were tracked through December 2023; the monthly LTCI applications and all-cause deaths per 10,000 people were calculated. The COVID-19 pandemic period was defined as beginning in March 2020, after the World Health Organization Director-General characterized the situation as a pandemic on March 11, 2020. Interrupted time-series segmented regression analysis was used to compare trends pre- (January 2018-February 2020) and post-pandemic onset (March 2020-December 2023).
Results: From January 2018 to December 2023, 4083 new LTCI applications and 2457 deaths were recorded. New monthly LTCI applications showed a modest upward trend pre-pandemic (0.4 per 10,000 people, 95% confidence interval [CI]: 0.1-0.8), declined sharply at the pandemic's onset (-9.6 per 10,000 people, 95% CI: -16.0 to -3.2), and subsequently increased at a higher rate than pre-pandemic levels (0.8 per 10,000 people, 95% CI: 0.6-1.0). Monthly all-cause deaths remained stable before and immediately after the pandemic's onset but rose slightly in the post-pandemic period (0.3 per 10,000 people per month, 95% CI: 0.2-0.5).
Conclusions: The COVID-19 pandemic influenced both new LTCI applications and all-cause mortality in this study. These impacts should be carefully considered in cohort studies examining these outcomes.
期刊介绍:
The Journal of Epidemiology is the official open access scientific journal of the Japan Epidemiological Association. The Journal publishes a broad range of original research on epidemiology as it relates to human health, and aims to promote communication among those engaged in the field of epidemiological research and those who use epidemiological findings.