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

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 b...

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Published inJournal of preventive medicine and public health Vol. 57; no. 6; pp. 540 - 551
Main Authors Yang, Jeong Min, Hwang, Jieun
Format Journal Article
LanguageEnglish
Published Korea (South) Korean Society for Preventive Medicine 01.11.2024
대한예방의학회
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Online AccessGet full text
ISSN1975-8375
2233-4521
2233-4521
DOI10.3961/jpmph.24.232

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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.
AbstractList 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.
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. KCI Citation Count: 0
This study aimed to identify trends in avoidable mortality (AVM) in 16 provincial and metropolitan regions of Korea and determine the factors influencing AVM. 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. 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. 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.
This study aimed to identify trends in avoidable mortality (AVM) in 16 provincial and metropolitan regions of Korea and determine the factors influencing AVM.OBJECTIVESThis study aimed to identify trends in avoidable mortality (AVM) in 16 provincial and metropolitan regions of Korea and determine the factors influencing AVM.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.METHODSFirst, 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.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.RESULTSAlthough 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.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.CONCLUSIONSThis 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.
Author Yang, Jeong Min
Hwang, Jieun
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Keywords Determinants of health
Avoidable mortality
Influencing factor
Premature mortality
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Snippet Objectives: This study aimed to identify trends in avoidable mortality (AVM) in 16 provincial and metropolitan regions of Korea and determine the factors...
This study aimed to identify trends in avoidable mortality (AVM) in 16 provincial and metropolitan regions of Korea and determine the factors influencing AVM....
This study aimed to identify trends in avoidable mortality (AVM) in 16 provincial and metropolitan regions of Korea and determine the factors influencing...
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SubjectTerms Adolescent
Adult
Aged
Aged, 80 and over
avoidable mortality
Cause of Death - trends
Child
Child, Preschool
determinants of health
Female
Humans
Incidence
Infant
Infant, Newborn
influencing factor
Male
Middle Aged
Mortality - trends
Original
premature mortality
Republic of Korea - epidemiology
Young Adult
예방의학
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Title Incidence and Influencing Factors of Avoidable Mortality in Korea From 2013-2022: Analysis of Cause-of-death Statistics
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