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Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
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Trends of Gaps Between Health-Adjusted Life Expectancy and Life Expectancy at the Regional Level in Korea Using a

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This study reveals significant regional disparities in South Korea

Keywords:
DisparityGroup-Based Multi-Trajectory ModelingHealth-Adjusted Life ExpectancyRegion

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Area of Science:

  • Public Health
  • Epidemiology
  • Health Economics

Background:

  • Health-adjusted life expectancy (HALE) measures healthy lifespan.
  • Understanding regional disparities in HALE is crucial for public health policy.
  • Korea faces challenges in equitable distribution of health outcomes.

Purpose of the Study:

  • To identify and analyze regional disparities in the gap between HALE and overall life expectancy in Korea.
  • To examine temporal trends in these disparities from 2008 to 2019.
  • To pinpoint specific regions experiencing significant changes in health-adjusted lifespan.

Main Methods:

  • Utilized group-based multi-trajectory modeling to analyze regional trends.
  • Calculated HALE using incidence-based 'years lived with disability' (YLD).
  • Applied methodology consistent with the Korean National Burden of Disease Study.

Main Results:

  • Identified seven distinct trajectory groups for the HALE-life expectancy gap.
  • One group exhibited a notably larger gap, encompassing 17 regions.
  • Six of these 17 regions were major metropolitan cities, indicating concentrated health disparities.

Conclusions:

  • Health levels have deteriorated in specific urban areas over time.
  • Metropolitan cities show particular vulnerability regarding health-adjusted lifespan.
  • Findings inform targeted policy interventions for community health and urban regeneration.