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Disentangling rectangularization and life span extension with the moving rectangle method.

Frank H Schalkwijk1, Jacob J E Koopman1, Eidrees Ghariq2

  • 1Leyden Academy on Vitality and Ageing, Leiden, The Netherlands; Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands.

Annals of Epidemiology
|February 6, 2016
PubMed
Summary
This summary is machine-generated.

The moving rectangle method

Keywords:
AgingLife expectancyLife spanLongevityMoving rectangle methodRectangularization

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Area of Science:

  • Demography
  • Gerontology
  • Public Health

Background:

  • Life expectancy has increased due to both rectangularization and life span extension.
  • The moving rectangle method is employed to differentiate these contributions.
  • This method necessitates selecting a survival curve endpoint near the maximum age at death.

Purpose of the Study:

  • To investigate the impact of varying survival curve endpoints on the moving rectangle method's results.
  • To analyze how endpoint selection affects the disentanglement of rectangularization and life span extension.
  • To assess the sensitivity of life expectancy increase attribution to endpoint choice.

Main Methods:

  • Survival curves from age 50 were generated for five developed countries from 1922 onwards.
  • Three distinct survival values (0.1, 0.01, 0.001) were used as endpoints.
  • The moving rectangle method was applied to calculate contributions to life expectancy increase.

Main Results:

  • Endpoint selection significantly altered the estimated contributions of rectangularization and life span extension.
  • Using a 0.001 endpoint indicated rectangularization as the primary driver of increased life expectancy.
  • Conversely, a 0.1 endpoint suggested life span extension contributed more years.

Conclusions:

  • The outcomes of the moving rectangle method are contingent upon the chosen survival curve endpoint.
  • Careful consideration of endpoint selection is crucial for accurate interpretation of life expectancy changes.
  • This highlights a critical methodological consideration in demographic and epidemiological research.