Skip Navigation
Skip to contents

Epidemiol Health : Epidemiology and Health

OPEN ACCESS
SEARCH
Search
Advanced Search
mobile menu button

Search

Page Path
HOME > Search
3 "Seoul"
Filter
Filter
Article category
Keywords
More +
Publication year
Authors
More +
Original Article
Trends and disparities in avoidable, treatable, and preventable mortalities in South Korea, 2001-2020: comparison of capital and non-capital areas
Sang Jun Eun
Epidemiol Health. 2022;44:e2022067.   Published online August 16, 2022
DOI: https://doi.org/10.4178/epih.e2022067
  • 9,826 View
  • 296 Download
  • 8 Web of Science
  • 7 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
This study aimed to describe the regional avoidable mortality trends in Korea and examine the trends in avoidable mortality disparities between the Seoul Capital Area and non-Seoul-Capital areas, thereby exploring the underlying reasons for the trend changes.
METHODS
Age-standardized mortality rates from avoidable causes between 2001-2020 were calculated by region. Regional disparities in avoidable mortality were quantified on both absolute and relative scales. Trends and disparities in avoidable mortality were analyzed using joinpoint regression models.
RESULTS
Avoidable, treatable, and preventable mortalities in Korea decreased at different rates over time by region. The largest decreases were in the non-Seoul-Capital non-metropolitan area for avoidable and preventable mortality rates and the non-Seoul- Capital metropolitan area for treatable mortality rates, despite the largest decline being in the Seoul Capital Area prior to around 2009. Absolute and relative regional disparities in avoidable and preventable mortalities generally decreased. Relative disparities in treatable mortality between areas widened. Regional disparities in all types of mortalities tended to improve after around 2009, especially among males. In females, disparities in avoidable, treatable, and preventable mortalities between areas improved less or even worsened.
CONCLUSIONS
Trends and disparities in avoidable mortality across areas in Korea seem to have varied under the influence of diverse social changes. Enhancing health services to underserved areas and strengthening gender-oriented policies are needed to reduce regional disparities in avoidable mortality.
Summary
Korean summary
2001년부터 2020년까지 회피가능, 예방가능 사망률의 수도권과 비수도권 대도시, 비수도권 비대도시 지역 간 절대적, 상대적 격차는 대체로 감소했지만, 치료가능 사망률의 상대적 격차는 커졌다. 회피가능, 치료가능, 예방가능 사망률의 지역 간 격차는 2009년경 이후에 특히 남성에서 개선됐지만, 여성의 경우 덜 개선되거나 오히려 악화되기도 했다.
Key Message
Regional disparities in avoidable, treatable, and preventable mortalities tended to improve after around 2009, especially among males, but, in females, disparities in all types of mortalities between areas improved less or even worsened.

Citations

Citations to this article as recorded by  
  • Evaluating the effects of the 2017 National Health Insurance coverage expansion on amenable mortality and its disparities between areas in South Korea using Bayesian structural time-series models
    Sang Jun Eun
    Social Science & Medicine.2024; 344: 116574.     CrossRef
  • Residential mobility according to health status in South Korea's largest metropolitan city during the COVID-19 pandemic using generalized estimating equations for longitudinal data
    Ikhan Kim, Duwon Kim
    Health & Place.2024; 88: 103265.     CrossRef
  • Determinants of internal migration to smaller cities: local public goods, job opportunities, and lifecycle stages
    Hemin Choi
    Local Government Studies.2024; 50(3): 617.     CrossRef
  • Avoidable Mortality in Korea 1997–2001: Temporal Trend and its Contribution to All-cause Mortality
    Yoolwon Jeong, Sunghyo Seo
    International Journal of Public Health.2024;[Epub]     CrossRef
  • Regional Health Disparities in Hypertension-Related Hospitalization of Hypertensive Patients: A Nationwide Population-Based Nested Case-Control Study
    Woo-Ri Lee, Jun Hyuk Koo, Ji Yun Jeong, Min Su Kim, Ki-Bong Yoo
    International Journal of Public Health.2023;[Epub]     CrossRef
  • Regional Disparities in the Infant Mortality Rate in Korea Between 2001 and 2021
    Hyeongtaek Woo, Ji Sook Kim
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Changes in Barriers That Cause Unmet Healthcare Needs in the Life Cycle of Adulthood and Their Policy Implications: A Need-Selection Model Analysis of the Korea Health Panel Survey Data
    Woojin Chung
    Healthcare.2022; 10(11): 2243.     CrossRef
COVID-19: Brief Communication
Time-variant reproductive number of COVID-19 in Seoul, Korea
Seong-Geun Moon, Yeon-Kyung Kim, Woo-Sik Son, Jong-Hoon Kim, Jungsoon Choi, Baeg-Ju Na, Boyoung Park, Bo Youl Choi
Epidemiol Health. 2020;42:e2020047.   Published online June 28, 2020
DOI: https://doi.org/10.4178/epih.e2020047
  • 13,525 View
  • 340 Download
  • 2 Web of Science
  • 4 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
To estimate time-variant reproductive number (R<sub>t</sub>) of coronavirus disease 19 based on either number of daily confirmed cases or their onset date to monitor effectiveness of quarantine policies.
METHODS
Using number of daily confirmed cases from January 23, 2020 to March 22, 2020 and their symptom onset date from the official website of the Seoul Metropolitan Government and the district office, we calculated R<sub>t</sub> using program R’s package “EpiEstim”. For asymptomatic cases, their symptom onset date was considered as -2, -1, 0, +1, and +2 days of confirmed date.
RESULTS
Based on the information of 313 confirmed cases, the epidemic curve was shaped like ‘propagated epidemic curve’. The daily R<sub>t</sub> based on R<sub>t_c</sub> peaked to 2.6 on February 20, 2020, then showed decreased trend and became <1.0 from March 3, 2020. Comparing both R<sub>t</sub> from R<sub>t_c</sub> and from the number of daily onset cases, we found that the pattern of changes was similar, although the variation of R<sub>t</sub> was greater when using R<sub>t_c</sub>. When we changed assumed onset date for asymptotic cases (-2 days to +2 days of the confirmed date), the results were comparable.
CONCLUSIONS
R<sub>t</sub> can be estimated based on R<sub>t_c</sub> which is available from daily report of the Korea Centers for Disease Control and Prevention. Estimation of R<sub>t</sub> would be useful to continuously monitor the effectiveness of the quarantine policy at the city and province levels.
Summary
Korean summary
우리나라 전체와 각 시도별 일별 증상 발현자 수 또는 확진자 수를 이용하여 추정한 Rt로 방역정책의 효과를 국가 및 시도 수준에서 지속적으로 모니터링 할 필요가 있다.

Citations

Citations to this article as recorded by  
  • Reproduction Factor Based Latent Epidemic Model Inference: A Data-Driven Approach Using COVID-19 Datasets
    Sujin Ahn, Minhae Kwon
    IEEE Journal of Biomedical and Health Informatics.2023; 27(3): 1259.     CrossRef
  • 코로나19 핵심 지표 산출체계 국제 비교 및 활용도 제고 방안 연구
    나애 이, 연경 김, 승필 정, 우주 이, 주환 오, 승식 황
    Public Health Weekly Report.2023; 16(29): 973.     CrossRef
  • The Impacts of Compact City Characteristics on COVID-19 Spreading Force : Focused on the Seoul Metropolitan Area
    Haejun Hyun, Myungje Woo
    Journal of Korea Planning Association.2023; 58(7): 5.     CrossRef
  • COVID-19 early-alert signals using human behavior alternative data
    Anasse Bari, Aashish Khubchandani, Junzhang Wang, Matthias Heymann, Megan Coffee
    Social Network Analysis and Mining.2021;[Epub]     CrossRef
Original Article
Measurement Errors on Normotensive Subjects in Screening Test.
Jong Myon Bae, Dae Sung Kim, Jaiyong Kim, Yoon Ok Ahn
Korean J Epidemiol. 1999;21(1):1-7.
  • 5,416 View
  • 8 Download
AbstractAbstract PDF
Abstract
BACKGROUND
Blood pressure measurements with a mercury sphygmomanometer serve as the screening test to establish the clinical diagnosis of primary hypertension. But one of the problems of hypertension screening is the variability of blood pressure measurements.
METHODS
In order to identify the measurement error of blood pressure through the biennial health screening program of Korea Insurance Medical Corporation, we compared the blood pressure of screening test with true value which defined as the mean of blood pressures taken from the direct contact and twice check-up among normotensive Seoul Cohort participants.
RESULTS
Three hundred forty-nine participants had both data of screening measurement and survey of direct contact. The means of difference in systolic and diastolic blood pressure between both data were 8.47 mmHg and 6.54 mmHg, respectively. These results showed statistical significance with paired t-test (p=0.001).
CONCLUSION
Our findings indicated that screening measurement of blood pressure had false negative. And if a epidemiologic study about blood pressure used the data of screening test, it should adjust value of systolic and diastolic blood pressure with adding 8 and 7 mmHg, respectively.
Summary
Epidemiol Health : Epidemiology and Health
© Korean Society of Epidemiology.