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Life Tables01:22

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A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
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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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The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
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Comparing Life Expectancy Determinants between Saudi Arabia and United Arab Emirates from 1980-2020.

Anak Agung Bagus Wirayuda1, Abdulaziz Al-Mahrezi2, Moon Fai Chan1

  • 1Department of Family Medicine and Public Health, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat 123, Oman.

European Journal of Investigation in Health, Psychology and Education
|July 28, 2023
PubMed
Summary

Life expectancy growth in Saudi Arabia and UAE is stagnant. Macroeconomic, sociodemographic, and health factors significantly impact life expectancy, necessitating holistic policy interventions for improvement.

Keywords:
Saudi ArabiaUnited Arab Emirateshealth status–resourceslife expectancymacroeconomicsociodemographicstructural equation model

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Area of Science:

  • Public Health
  • Health Economics
  • Demography

Background:

  • Life expectancy (LE) growth in Saudi Arabia and the United Arab Emirates (UAE) lags behind developed nations.
  • Understanding the determinants of LE is crucial for targeted health policy development in these regions.

Purpose of the Study:

  • To investigate the correlation between macroeconomic (ME), sociodemographic (SD), and health status and resources (HSR) factors and LE in Saudi Arabia and the UAE.
  • To formulate an explanatory model for LE in these nations, addressing a previously unexplored area.

Main Methods:

  • Ecological, retrospective, time-series study design.
  • Utilized secondary data spanning three decades (1980-2020) for Saudi Arabia and the UAE.
  • Employed partial least squares-structural equation modeling (PLS-SEM) for statistical analysis.

Main Results:

  • Significant direct impacts of HSR factors on LE were found for both Saudi Arabia (β = 0.958) and the UAE (β = 0.716).
  • ME factors indirectly influenced LE through SD and HSR factors (Saudi: β = 0.507; UAE: β = 0.509).
  • SD factors indirectly influenced LE through HSR (Saudi: β = 0.529; UAE: β = 0.711).

Conclusions:

  • A nexus of ME, SD, and HSR factors significantly mediates life expectancy in Saudi Arabia and the UAE.
  • Holistic policy interventions targeting ME, SD, and HSR are imperative to improve health behaviors and long-term LE projections.