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dc.contributor.authorMuszyńska-Spielauer, Magdalenade
dc.contributor.authorRiffe, Timde
dc.contributor.authorSpielauer, Martinde
dc.date.accessioned2024-04-02T10:35:08Z
dc.date.available2024-04-02T10:35:08Z
dc.date.issued2024de
dc.identifier.issn1869-8999de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/93536
dc.description.abstractHealth expectancy (HE), commonly derived from cross-sectional prevalence data using the Sullivan method, serves as the most frequently used summary measure of population health. Like lifespan distribution statistics, which are often discussed alongside life expectancy (LE) in demographic studies, analogous statistics on healthy lifespans can provide valuable information on population health. We examine whether healthy lifespan distribution statistics beyond HE can be estimated based on cross-sectional prevalence data and the life table, the data inputs of the Sullivan method. To do so, we treat the Sullivan method as an extension of the stationary population model to health and distinguish between health conditions with and without recovery from the state of decreased health. Our empirical demonstration is based on the prevalence of chronic diseases in selected European countries in 2017 from the Survey of Health, Ageing and Retirement in Europe (SHARE), as well as on life tables from EUROSTAT. We find that the Sullivan method, when considered as an extension of the stationary population model to health, allows for the estimation of a healthy survival distribution and its statistics, beyond HE, for health characteristics with no recovery from the state of decreased health. We show that for such health conditions, the method requires that the number of persons in full health in a stationary population does not increase with age. We argue that for such health dimensions, HE conditional on being in good health at the life table radix age is of relevance for health policy interventions. In our empirical application, we show that the conditional and unconditional measures of HE can give substantially different pictures of population health. Furthermore, we show that across European countries, in contrast to the negative relationship between LE and lifespan inequality, higher HE is associated with greater inequality in healthy years lived when conditional on being healthy at age 50. Overall, the Sullivan method, when considered as an extension of the stationary population model, proves to be a valuable tool for deriving summary statistics of population health beyond HE, which are highly relevant to public policy. - Online Appendix: https://comparativepopulationstudies.de/index.php/CPoS/article/view/555/405de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherHealth expectancy; Healthy lifespan; Healthy survival; Population health; The Sullivan method; Survey of Health, Ageing and Retirement in Europe (SHARE), waves 1-7, Release Version: 7.1.0.de
dc.titleHealthy Lifespan Statistics Derived From Cross-Sectional Prevalence Data Using the Sullivan Method are Informative Summary Measures of Population Healthde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.identifier.urlhttp://www.comparativepopulationstudies.de/index.php/CPoS/article/view/555/404de
dc.identifier.urlhttp://www.comparativepopulationstudies.de/index.php/CPoS/article/view/555/405de
dc.source.journalComparative Population Studies - Zeitschrift für Bevölkerungswissenschaft
dc.source.volume49de
dc.publisher.countryDEUde
dc.subject.classozBevölkerungde
dc.subject.classozPopulation Studies, Sociology of Populationen
dc.subject.thesozGesundheitde
dc.subject.thesozhealthen
dc.subject.thesozLebensdauerde
dc.subject.thesozlife-spanen
dc.subject.thesozLebenserwartungde
dc.subject.thesozlife expectancyen
dc.subject.thesozPublic Healthde
dc.subject.thesozpublic healthen
dc.subject.thesozchronische Krankheitde
dc.subject.thesozchronic illnessen
dc.subject.thesozEuropade
dc.subject.thesozEuropeen
dc.subject.thesozGesundheitspolitikde
dc.subject.thesozhealth policyen
dc.identifier.urnurn:nbn:de:bib-cpos-2024-03en3de
dc.rights.licenceCreative Commons - Namensnennung, Weitergabe unter gleichen Bedingungen 4.0de
dc.rights.licenceCreative Commons - Attribution-ShareAlike 4.0en
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10045492
internal.identifier.thesoz10040576
internal.identifier.thesoz10050660
internal.identifier.thesoz10053580
internal.identifier.thesoz10040302
internal.identifier.thesoz10042879
internal.identifier.thesoz10045550
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo55-80de
internal.identifier.classoz10303
internal.identifier.journal60
internal.identifier.document32
internal.identifier.ddc300
dc.source.issuetopicLevels and Trends of Health Expectancy: Understanding its Measurement and Estimation Sensitivityde
dc.identifier.doihttps://doi.org/10.12765/CPoS-2024-03de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence24
internal.identifier.pubstatus1
internal.identifier.review1
internal.dda.referencehttp://www.comparativepopulationstudies.de/index.php/CPoS/oai@@oai:ojs.comparativepopulationstudies.de:article/555


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