Cause of death decomposition of cohort survival comparisons
| dc.contributor.author | Canudas Romo, Vladimir | |
| dc.contributor.author | Adair, Timothy | |
| dc.contributor.author | Mazzuco, Stefano | |
| dc.date.accessioned | 2020-11-04T22:38:58Z | |
| dc.date.issued | 2020-02-03 | |
| dc.date.updated | 2021-03-07T07:17:02Z | |
| dc.description.abstract | 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. | |
| dc.description.sponsorship | S. A. received partial support from the PRIN project ‘Unfolding the SEcrets of LongEvity: Current Trends and future prospects’ (SELECT), project number 20177BRJXS and from MIUR Departments of Excellence funding scheme. | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.issn | 0300-5771 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/213614 | |
| dc.language.iso | en_AU | en_AU |
| dc.publisher | Oxford University Press | |
| dc.rights | © 2020 The Author(s) | |
| dc.source | International Journal of Epidemiology | |
| dc.subject | Life expectancy | |
| dc.subject | cohort survival | |
| dc.subject | causes of death | |
| dc.subject | decomposition | |
| dc.subject | longevity | |
| dc.title | Cause of death decomposition of cohort survival comparisons | |
| dc.type | Journal article | |
| dcterms.dateAccepted | 2019-12-18 | |
| local.bibliographicCitation.lastpage | 7 | en_AU |
| local.bibliographicCitation.startpage | 1 | en_AU |
| local.contributor.affiliation | Canudas-Romo, Vladimir, College of Arts and Social Sciences, ANU | en_AU |
| local.contributor.affiliation | Adair, Timothy, University of Melbourne | en_AU |
| local.contributor.affiliation | Mazzuco, Stefano, University of Padova | en_AU |
| local.contributor.authoruid | Canudas-Romo, Vladimir, u1019088 | en_AU |
| local.description.embargo | 2037-12-31 | |
| local.description.notes | Imported from ARIES | en_AU |
| local.identifier.absfor | 160304 - Mortality | en_AU |
| local.identifier.ariespublication | u3555277xPUB391 | en_AU |
| local.identifier.citationvolume | Online | |
| local.identifier.doi | 10.1093/ije/dyz276 | en_AU |
| local.identifier.scopusID | 2-s2.0-85095544947 | |
| local.publisher.url | https://academic.oup.com/ | en_AU |
| local.type.status | Published Version | en_AU |
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