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Drewnowski's index to measure lifespan variation: Revisiting the Gini coefficient of the life table.
Aburto, José Manuel; Basellini, Ugofilippo; Baudisch, Annette; Villavicencio, Francisco.
Affiliation
  • Aburto JM; Department of Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK; Leverhulme Centre for Demographic Science, Department of Sociology and Nuffield College, University of Oxford, Oxford OX1 1JD, UK; Interdisciplinary Centre on Population Dynamics, University of Sout
  • Basellini U; Laboratory of Digital and Computational Demography, Max Planck Institute for Demographic Research, 18057 Rostock, Germany; Mortality, Health and Epidemiology Unit, Institut national d'études démographiques (INED), 93322 Aubervilliers, France.
  • Baudisch A; Interdisciplinary Centre on Population Dynamics, University of Southern Denmark, 5230 Odense, Denmark.
  • Villavicencio F; Interdisciplinary Centre on Population Dynamics, University of Southern Denmark, 5230 Odense, Denmark; Centre for Demographic Studies (CED), Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
Theor Popul Biol ; 148: 1-10, 2022 12.
Article in En | MEDLINE | ID: mdl-36084792
ABSTRACT
The Gini coefficient of the life table is a concentration index that provides information on lifespan variation. Originally proposed by economists to measure income and wealth inequalities, it has been widely used in population studies to investigate variation in ages at death. We focus on the complement of the Gini coefficient, Drewnowski's index, which is a measure of equality. We study its mathematical properties and analyze how changes over time relate to changes in life expectancy. Further, we identify the threshold age below which mortality improvements are translated into decreasing lifespan variation and above which these improvements translate into increasing lifespan inequality. We illustrate our theoretical findings simulating scenarios of mortality improvement in the Gompertz model, and showing an example of application to Swedish life table data. Our experiments demonstrate how Drewnowski's index can serve as an indicator of the shape of mortality patterns. These properties, along with our analytical findings, support studying lifespan variation alongside life expectancy trends in multiple species.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Health Status Disparities / Longevity Type of study: Prognostic_studies Language: En Journal: Theor Popul Biol Year: 2022 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Health Status Disparities / Longevity Type of study: Prognostic_studies Language: En Journal: Theor Popul Biol Year: 2022 Type: Article