The Gaps in Health-Adjusted Life Years (Hale) by Income and Region in Korea
A National Representative Bigdata Analysis
Dados Bibliográficos
| ID | 15510697 |
|---|---|
| Autores | Young-Eun Kim (0009-0000-4237-691X, National Health Insurance Service), Young‐Eun Kim (0000-0003-0694-6844, National Health Insurance Service), Yoon-Sun Jung (0000-0002-9379-4908, Korea University), Minsu Ock (0000-0001-9949-9224, Ulsan College), Hyesook Park (0000-0002-9359-6522, Ewha Womans University), Ki-Beom Kim (0000-0001-7613-0125, Korea University), Dun‐Sol Go (0000-0002-9025-7760, Korea Institute for Health and Social Affairs), Dun-Sol Go (Korea Institute for Health and Social Affairs), Seok‐Jun Yoon (0000-0003-3297-0071, Korea University, autor correspondente) |
| Ano | 2021 |
| Volume | 18 |
| Fascículo | 7 |
| Páginas | 3473-3473 |
| Data de publicação | 2021-03-27 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | International Journal of Environmental Research and Public Health (JOURNAL) |
| Identificadores do periódico | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Editora | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph18073473 |
| PMID | 33801588 |
| OpenAlex | W3149938798 |
| Idioma | EN |
| Citações recebidas | 3 |
| Referências citadas | 14 |
This study aims to calculate the health-adjusted life years (HALE) by using years lived with disability (YLD) from the national claims data, as well as to identify the differences and inequalities in income level and region. The study was carried out on total population receiving health insurance and medical benefits. We calculated incidence-based YLD for 260 disease groups, and used it as the number of healthy years lost to calculate HALE. We adopted the insurance premium to calculate the income as a proxy indicator. For the region classification, we chose 250 Korean municipal-level administrative districts. Our results revealed that HALE increased from 2008 to 2018. HALE in males increased faster than that in females. HALE was higher in higher income levels. In 2018, the gap in HALE between Q1 and Q2, the lower income group, was about 5.57 years. The gap in females by income level was smaller than that in males. Moreover, the gap in HALE by region was found to increase. Results suggest that there is an inequality in YLD in terms of income level in Korea. Therefore, we need intensive management for the low-income group to promote HALE at the national level
Demographic economics · Economic inequality · Economics · Geography · Incidence (geometry · Inequality · Low income · Population · Proxy (statistics · Socioeconomics · Sociology · Statistics · Demography · Global Health Care Issues · Health and Wellbeing Research · Health disparities and outcomes · Mathematics
Income-Related Mortality Inequalities and Its Social Factors among Middle-Aged and Older Adults at the District Level in Aging Seoul
The socioeconomic distribution of life expectancy and healthy life expectancy in Chile
Construction and evaluation of a practical model for measuring health-adjusted life expectancy (Hale) in China
Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016
Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010
A Single Index of Mortality and Morbidity
Lifespan and Healthspan
Global, regional, and national disability-adjusted life-years (Dalys) for 359 diseases and injuries and healthy life expectancy (Hale) for 195 countries and territories, 1990–2017
| Obras citantes distintas | 3 |
|---|---|
| Citações por ano | 0,6 |
| Intervalo de citações | 2021 - 2024 (4) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 3 |