Evidence map›Paper›PMID 33429472›Full record

ArticleJournal of Korean medical science2021

Spatio-temporal Analysis of District-level Life Expectancy from 2004 to 2017 in Korea.

Hwa Kyung Lim, Hee Yeon Kang, Ikhan Kim, Young Ho Khang

Abstract read
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Article in Journal of Korean medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
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  4. Social Determinants of Remaining Life Expectancy at Age 60: A District-Level Analysis in Germany.International journal of environmental research and public health · 2022
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hwa Kyung LimInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Korea.ORCID https://orcid.org/0000-0003-2330-718X
Hee Yeon KangInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-8530-8087
Ikhan KimDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-6428-4159
Young Ho KhangInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-9585-8266

Funding

Korea Health Industry Development Institute HI18C0446National Research Foundation of Korea NRF-2019R1I1A1A01063964
6 · The paper itself

Abstract

backgroundHealth indicators, such as mortality rates or life expectancy, need to be presented at the local level to improve the health of local residents and to reduce health inequality across geographic areas. The aim of this study was to estimate life expectancy at the district level in Korea through a spatio-temporal analysis.

methodsSpatio-temporal models were applied to the National Health Information Database of the National Health Insurance Service to estimate the mortality rates for 19 age groups in 250 districts from 2004 to 2017 by gender in Korea. Annual district-level life tables by gender were constructed using the estimated mortality rates, and then annual district-level life expectancy by gender was estimated using the life table method and the Kannisto-Thatcher method. The annual district-level life expectancies based on the spatio-temporal models were compared to the life expectancies calculated under the assumption that the mortality rates in these 250 districts are independent from one another.

resultsIn 2017, district-level life expectancy at birth ranged from 75.5 years (95% credible interval [CI], 74.0-77.0 years) to 84.2 years (95% CI, 83.4-85.0 years) for men and from 83.9 years (95% CI, 83.2-84.6 years) to 88.2 years (95% CI, 87.3-89.1 years) for women. Between 2004 and 2017, district-level life expectancy at birth increased by 4.57 years (95% CI, 4.49-4.65 years) for men and by 4.06 years (95% CI, 3.99-4.12 years) for women. To obtain stable annual life expectancy estimates at the district level, it is recommended to use the life expectancy based on spatio-temporal models instead of calculating life expectancy using observed mortality.

conclusionIn this study, we estimated the annual district-level life expectancy from 2004 to 2017 in Korea by gender using a spatio-temporal model. Local governments could use annual district-level life expectancy estimates as a performance indicator of health policies to improve the health of local residents. The approach to district-level analysis with spatio-temporal modeling employed in this study could be used in future analyses to produce district-level health-related indicators in Korea.

Indexed as

Life ExpectancyAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDatabases, FactualFemaleGeographyHumansInfantInfant, NewbornMaleMiddle AgedRepublic of KoreaGeographyKoreaLife ExpectancyMortalitySpatio-Temporal Analysis

Identifiers

PMID33429472
PMCPMC7801148

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.