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2013 - 2022年韩国可避免死亡的发生率及影响因素:死因统计分析

Incidence and Influencing Factors of Avoidable Mortality in Korea From 2013-2022: Analysis of Cause-of-death Statistics.

作者信息

Yang Jeong Min, Hwang Jieun

机构信息

Department of Public Health, General Graduate School of Dankook University, Cheonan, Korea.

Institute of Convergence Healthcare, Dankook University, Cheonan, Korea.

出版信息

J Prev Med Public Health. 2024 Nov;57(6):540-551. doi: 10.3961/jpmph.24.232. Epub 2024 Sep 23.

DOI:10.3961/jpmph.24.232
PMID:39438013
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11626111/
Abstract

OBJECTIVES

This study aimed to identify trends in avoidable mortality (AVM) in 16 provincial and metropolitan regions of Korea and determine the factors influencing AVM.

METHODS

First, the avoidable mortality rate (AVMR) was calculated using the Statistics Korea cause-of-death and population data by age and region from 2013 to 2022. Second, a health determinants model was built, and we identified the factors influencing AVM using generalized estimating equations analysis.

RESULTS

Although the AVMR per 100 000 people displayed a steadily decreasing trend from 2013 to 2020, it began to increase in 2021. Meanwhile, Jeonnam, Jeonbuk, Gyeongnam, Gyeongbuk, Chungnam, Chungbuk, and Gangwon Provinces showed a higher AVMR than the national average. The analysis revealed that each 1-unit increase in the older adult population, smoking, perceived stress, or non-local medical utilization was associated with an increase in the AVMR. Conversely, 1-unit increases in the male-to-female ratio, marriage rate, positive self-rated health, local medical utilization, doctor population, influenza vaccination rate, cancer screening rate, or financial independence were associated with decrease in the AVMR.

CONCLUSIONS

This study established that the AVMR, which had been continuously decreasing across the 16 regions, shifted to an increasing trend in 2021. We also identified several factors influencing AVM. Further studies are needed to confirm the reasons for this shift in the AVMR and explore the factors that influence AVM across Korea's 16 provincial and metropolitan regions.

摘要

目的

本研究旨在确定韩国16个省和直辖市可避免死亡率(AVM)的趋势,并确定影响可避免死亡率的因素。

方法

首先,利用韩国统计局2013年至2022年按年龄和地区划分的死因和人口数据计算可避免死亡率(AVMR)。其次,建立了一个健康决定因素模型,并使用广义估计方程分析确定影响可避免死亡率的因素。

结果

尽管每10万人的可避免死亡率从2013年到2020年呈稳步下降趋势,但在2021年开始上升。同时,全罗南道、全罗北道、庆尚南道、庆尚北道、忠清南道、忠清北道和江原道的可避免死亡率高于全国平均水平。分析表明,老年人口、吸烟、感知压力或非本地医疗利用率每增加1个单位,可避免死亡率就会增加。相反,男女比例、结婚率、自我健康评价良好、本地医疗利用率、医生人口、流感疫苗接种率、癌症筛查率或经济独立每增加1个单位,可避免死亡率就会降低。

结论

本研究确定,16个地区持续下降的可避免死亡率在2021年转变为上升趋势。我们还确定了几个影响可避免死亡率的因素。需要进一步研究来确认可避免死亡率这种转变的原因,并探索影响韩国16个省和直辖市可避免死亡率的因素。

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本文引用的文献

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Regional and sex inequalities of avoidable mortality in Italy: A time trend analysis.意大利可避免死亡率的地区和性别不平等:一项时间趋势分析。
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Did the socioeconomic inequalities in avoidable and unavoidable mortality worsen during the first year of the COVID-19 pandemic in Korea?在韩国 COVID-19 大流行的第一年,可避免和不可避免死亡率的社会经济不平等是否恶化了?
Epidemiol Health. 2023;45:e2023072. doi: 10.4178/epih.e2023072. Epub 2023 Aug 3.
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Different health systems - Different mortality outcomes? Regional disparities in avoidable mortality across German-speaking Europe, 1992-2019.
不同的卫生系统是否会产生不同的死亡率结果?1992-2019 年德语欧洲地区可避免死亡率的区域差异。
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Trends and disparities in avoidable, treatable, and preventable mortalities in South Korea, 2001-2020: comparison of capital and non-capital areas.2001-2020 年韩国可避免、可治疗和可预防的死亡趋势和差异:首都和非首都地区比较。
Epidemiol Health. 2022;44:e2022067. doi: 10.4178/epih.e2022067. Epub 2022 Aug 16.
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Is Avoidable Hospitalization Experienced Prior to Infection Associated With COVID-19-Related Deaths?感染 COVID-19 之前是否有可避免的住院经历?
Int J Public Health. 2022 Jun 20;67:1604426. doi: 10.3389/ijph.2022.1604426. eCollection 2022.
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Excess All-Cause Deaths during Coronavirus Disease Pandemic, Japan, January-May 2020.2020 年 1 月至 5 月日本冠状病毒病大流行期间的全因超额死亡。
Emerg Infect Dis. 2021 Mar;27(3):789-795. doi: 10.3201/eid2703.203925.
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Gender differences in the effect of self-rated health (SRH) on all-cause mortality and specific causes of mortality among individuals aged 50 years and older.50 岁及以上人群中,自评健康状况对全因死亡率和特定死因死亡率的影响存在性别差异。
PLoS One. 2019 Dec 4;14(12):e0225732. doi: 10.1371/journal.pone.0225732. eCollection 2019.
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Avoidable, amenable, and preventable mortalities in South Korea, 2000-2017: Age-period-cohort trends and impact on life expectancy at birth.2000-2017 年韩国可避免、可归因和可预防的死亡:年龄-时期-队列趋势及其对出生时预期寿命的影响。
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