Lifespan variation among people with a given disease or condition
Zheng, Yan (Aarhus University)
Permanyer, Iñaki (Centre d'Estudis Demogràfics)
Canudas-Romo, Vladimir (Australian National University)
Aburto, José Manuel (University of Oxford)
Nigri, Andrea (University of Foggia)
Plana-Ripoll, Oleguer (Aarhus University)

Data:	2023
Resum:	In addition to fundamental mortality metrics such as mortality rates and mortality rate ratios, life expectancy is also commonly used to investigate excess mortality among a group of individuals diagnosed with specific diseases or conditions. However, as an average measure, life expectancy ignores the heterogeneity in lifespan. Interestingly, the variation in lifespan-a measure commonly used in the field of demography-has not been estimated for people with a specific condition. Based on recent advances in methodology in research within epidemiology and demography, we discuss two metrics, namely, the average life disparity and average lifetable entropy after diagnosis, which estimate the variation in lifespan for time-varying conditions in both absolute and relative aspects. These metrics are further decomposed into early and late components, separated by their threshold ages. We use mortality data for women with mental disorders from Danish registers to design a population-based study and measure such metrics. Compared with women from the general population, women with a mental disorder had a shorter average remaining life expectancy after diagnosis (37. 6 years vs. 44. 9 years). In addition, women with mental disorders also experienced a larger average lifespan variation, illustrated by larger average life disparity (9. 5 years vs 9. 1 years) and larger average lifetable entropy (0. 33 vs 0. 27). More specifically, we found that women with a mental disorder had a larger early average life disparity but a smaller late average life disparity. Unlike the average life disparity, both early and late average lifetable entropy were higher for women with mental disorders compared to the general population. In conclusion, the metric proposed in our study complements the current research focusing merely on life expectancy and further provides a new perspective into the assessment of people's health associated with time-varying conditions.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Publicat a:	PloS one, Vol. 18 Núm. 9 (September 2023) , ISSN 1932-6203

DOI: 10.1371/journal.pone.0290962
PMID: 37656703

13 p, 1.1 MB

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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències socials i jurídiques > Centre d’Estudis Demogràfics (CED-CERCA)
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