Your browser doesn't support javascript.
loading
Reflection on modern methods: cause of death decomposition of cohort survival comparisons.
Canudas-Romo, Vladimir; Adair, Tim; Mazzuco, Stefano.
Afiliação
  • Canudas-Romo V; School of Demography, College of Arts and Social Sciences, The Australian National University, Acton, ACT 2601, Australia.
  • Adair T; Melbourne School of Population and Global Health, University of Melbourne, VIC, Australia.
  • Mazzuco S; Department of Statistical Sciences, University of Padova, Padova, Italy.
Int J Epidemiol ; 49(5): 1712-1718, 2020 10 01.
Article em En | MEDLINE | ID: mdl-32011680
Life expectancy is most commonly measured for a period (corresponding to mortality within a given year) or for a specific birth cohort. Although widely used, period and cohort life expectancy have limitations as their time-trends often show disparities and can mask the historical mortality experience of all cohorts present at a given time. The truncated cross-sectional average length of life, or TCAL, is a period measure including all available cohort mortality information, irrespective of whether all cohort members have died. It is particularly useful for comparing cohort mortality between populations. This study extends TCAL by disentangling causes of death contributions. The strength of the approach is that it allows identification of mortality differences in cohorts with members still alive, as well as identification of which ages and causes of death contribute to mortality differentials between populations. Application of the method to Japan shows that over the period 1950-2014 a major contributor to TCAL differences with other high-longevity countries was its lower cardiovascular disease mortality.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Expectativa de Vida / Longevidade Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Expectativa de Vida / Longevidade Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2020 Tipo de documento: Article