Trends of Gaps Between Health-Adjusted Life Expectancy and Life Expectancy at the Regional Level in Korea Using a Group-Based Multi-Trajectory Modeling Approach (2008-2019).

Disparity Group-Based Multi-Trajectory Modeling Health-Adjusted Life Expectancy Region

Journal

Journal of Korean medical science
ISSN: 1598-6357
Titre abrégé: J Korean Med Sci
Pays: Korea (South)
ID NLM: 8703518

Informations de publication

Date de publication:
06 May 2024
Historique:
received: 16 01 2024
accepted: 02 04 2024
medline: 7 5 2024
pubmed: 7 5 2024
entrez: 7 5 2024
Statut: epublish

Résumé

Health-adjusted life expectancy (HALE) is an indicator of the average lifespan in good health. Through this study, we aimed to identify regional disparities in the gap between HALE and life expectancy, considering the trends that have changed over time in Korea. We employed a group-based multi-trajectory modeling approach to capture trends in the gap between HALE and life expectancy at the regional level from 2008 to 2019. HALE was calculated using incidence-based "years lived with disability." This methodology was also employed in the Korean National Burden of Disease Study. Based on five different information criteria, the most fitted number of trajectory groups was seven, with at least 11 regions in each group. Among the seven groups, one had an exceptionally large gap between HALE and life expectancy compared to that of the others. This group was assigned to 17 regions, of which six were metropolitan cities. Based on the results of this study, we identified regions in which health levels have deteriorated over time, particularly within specific areas of metropolitan cities. These findings can be used to design comprehensive policy interventions for community health promotion and urban regeneration projects in the future.

Sections du résumé

BACKGROUND BACKGROUND
Health-adjusted life expectancy (HALE) is an indicator of the average lifespan in good health. Through this study, we aimed to identify regional disparities in the gap between HALE and life expectancy, considering the trends that have changed over time in Korea.
METHODS METHODS
We employed a group-based multi-trajectory modeling approach to capture trends in the gap between HALE and life expectancy at the regional level from 2008 to 2019. HALE was calculated using incidence-based "years lived with disability." This methodology was also employed in the Korean National Burden of Disease Study.
RESULTS RESULTS
Based on five different information criteria, the most fitted number of trajectory groups was seven, with at least 11 regions in each group. Among the seven groups, one had an exceptionally large gap between HALE and life expectancy compared to that of the others. This group was assigned to 17 regions, of which six were metropolitan cities.
CONCLUSION CONCLUSIONS
Based on the results of this study, we identified regions in which health levels have deteriorated over time, particularly within specific areas of metropolitan cities. These findings can be used to design comprehensive policy interventions for community health promotion and urban regeneration projects in the future.

Identifiants

pubmed: 38711316
pii: 39.e145
doi: 10.3346/jkms.2024.39.e145
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e145

Subventions

Organisme : Ministry of Health and Welfare
ID : HA21C0206
Pays : Korea

Informations de copyright

© 2024 The Korean Academy of Medical Sciences.

Déclaration de conflit d'intérêts

The authors have no potential conflicts of interest to disclose.

Auteurs

Chung-Nyun Kim (CN)

Department of Public Health, Graduate School of Korea University, Seoul, Korea.
Transdisciplinary Major in Learning Health Systems, Department of Healthcare Sciences, Graduate School, Korea University, Seoul, Korea.

Yoon-Sun Jung (YS)

Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.

Young-Eun Kim (YE)

Department of Big Data Strategy, National Health Insurance Service, Wonju, Korea.

Minsu Ock (M)

Department of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.
Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea.

Dal-Lae Jin (DL)

Department of Public Health, Graduate School of Korea University, Seoul, Korea.
Transdisciplinary Major in Learning Health Systems, Department of Healthcare Sciences, Graduate School, Korea University, Seoul, Korea.

Seok-Jun Yoon (SJ)

Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.
Graduate School of Public Health, Korea University, Seoul, Korea.
Institute for Future Public Health, Korea University, Seoul, Korea. yoonsj02@korea.ac.kr.

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