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A Note on the Measurement of Socioeconomic Inequalities in Life Years Lost by Cause of Death.
Latouche, Aurélien; Andersen, Per Kragh; Rey, Grégoire; Moreno-Betancur, Margarita.
Afiliación
  • Latouche A; From the Conservatoire national des arts et metiers, Paris, France.
  • Andersen PK; Inserm U900, In-stitut Curie, Saint Cloud, France.
  • Rey G; Department of Biostatistics, University of Copenhagen, Denmark.
  • Moreno-Betancur M; Epidemiology Centre on Medical Causes of Death, Inserm, Le Kremlin-Bicetre, France.
Epidemiology ; 30(4): 569-572, 2019 07.
Article en En | MEDLINE | ID: mdl-31162283
ABSTRACT
Quantifying socioeconomic inequalities in health in absolute terms is of prime interest for decision-making and for international comparisons. The Slope Index of Inequality (SII), an index that quantifies absolute socioeconomic inequalities, was recently formalized, particularly in the context of mortality differences measured in the rate or hazard scale. However, absolute inequalities using either rates or hazards do not translate into a time dimension, which makes their interpretation difficult for policymakers. We propose an extension of the (Equation is included in full-text article.)in terms of the expected number of life years lost before an upper age, as well as its decomposition by cause of death. The (Equation is included in full-text article.)in the life years lost metric quantifies the extent to which life expectancy is shortened when comparing the higher and lower ends of the socioeconomic scale. The methodology proposed builds on recent developments in survival analysis for decomposing the number of life years lost according to cause of death using a pseudo-value approach. We illustrate our proposal using a representative 1% sample of the French population. On average, the least educated men lost 7 years of life from age 30 up to age 90 compared to the most educated. The loss for women is twice as much with 3.5 years. The (Equation is included in full-text article.)in the life years lost metric is easily understood, and the decomposition of the all-cause mortality (Equation is included in full-text article.)into parts attributable to given causes provides a sound estimation of the burden of different causes of death on absolute socioeconomic inequalities in mortality.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Factores Socioeconómicos / Diseño de Investigaciones Epidemiológicas / Interpretación Estadística de Datos / Esperanza de Vida / Causas de Muerte / Disparidades en el Estado de Salud Tipo de estudio: Prognostic_studies País/Región como asunto: Europa Idioma: En Revista: Epidemiology Asunto de la revista: EPIDEMIOLOGIA Año: 2019 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Factores Socioeconómicos / Diseño de Investigaciones Epidemiológicas / Interpretación Estadística de Datos / Esperanza de Vida / Causas de Muerte / Disparidades en el Estado de Salud Tipo de estudio: Prognostic_studies País/Región como asunto: Europa Idioma: En Revista: Epidemiology Asunto de la revista: EPIDEMIOLOGIA Año: 2019 Tipo del documento: Article