Titre
Geographic footprints of life expectancy inequalities in the state of Geneva, Switzerland.
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Ladoy, A.
Auteure/Auteur
Vallarta-Robledo, J.R.
Auteure/Auteur
De Ridder, D.
Auteure/Auteur
Sandoval, J.L.
Auteure/Auteur
Stringhini, S.
Auteure/Auteur
Da Costa, H.
Auteure/Auteur
Guessous, I.
Auteure/Auteur
Joost, S.
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
ISSN
2045-2322
Statut éditorial
Publié
Date de publication
2021-12-02
Volume
11
Numéro
1
Première page
23326
Peer-reviewed
Oui
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Publication Status: epublish
Résumé
Though Switzerland has one of the highest life expectancies in the world, this global indicator may mask significant disparities at a local level. The present study used a spatial cluster detection approach based on individual death records to investigate the geographical footprint of life expectancy inequalities in the state of Geneva, Switzerland. Individual-level mortality data (n = 22,751) were obtained from Geneva's official death notices (2009-2016). We measured life expectancy inequalities using the years of potential life lost or gained (YPLLG) metric, defined as the difference between an individual's age at death and their life expectancy at birth. We assessed the spatial dependence of YPLLG across the state of Geneva using spatial autocorrelation statistics (Local Moran's I). To ensure the robustness of the patterns discovered, we ran the analyses for ten random subsets of 10,000 individuals taken from the 22,751 deceased. We also repeated the spatial analysis for YPLLG before and after controlling for individual-level and neighborhood-level covariates. The results showed that YPLLG was not randomly distributed across the state of Geneva. The ten random subsets revealed no significant difference with the geographic footprint of YPLLG and the population characteristics within Local Moran cluster types, suggesting robustness for the observed spatial structure. The proportion of women, the proportion of Swiss, the neighborhood median income, and the neighborhood median age were all significantly lower for populations in low YPLLG clusters when compared to populations in high YPLLG clusters. After controlling for individual-level and neighborhood-level covariates, we observed a reduction of 43% and 39% in the size of low and high YPLLG clusters, respectively. To our knowledge, this is the first study in Switzerland using spatial cluster detection methods to investigate inequalities in life expectancy at a local scale and based on individual data. We identified clear geographic footprints of YPLLG, which may support further investigations and guide future public health interventions at the local level.
PID Serval
serval:BIB_53B7C86F88CD
PMID
Open Access
Oui
Date de création
2021-12-11T11:49:25.502Z
Date de création dans IRIS
2025-05-20T17:04:03Z
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Nom
34857856_BIB_53B7C86F88CD.pdf
Version du manuscrit
published
Licence
https://creativecommons.org/licenses/by/4.0
Taille
2.43 MB
Format
Adobe PDF
PID Serval
serval:BIB_53B7C86F88CD.P001
URN
urn:nbn:ch:serval-BIB_53B7C86F88CD2
Somme de contrôle
(MD5):8b9a5936b294451ce8c280017318634a