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Spatial distribution of end-stage renal disease (ESRD) and social inequalities in mixed urban and rural areas: a study in the Bretagne administrative region of France
Auteur(s) : Kihal-Talantikite, W. Deguen, S. Padilla, C. Siebert, M. Couchoud, C. Vigneau, C. Bayat, S.
Auteurs secondaires : École des Hautes Études en Santé Publique [EHESP] (EHESP) Institut de recherche, santé, environnement et travail [Rennes] (Irset) ; Université d'Angers (UA) - Université des Antilles et de la Guyane (UAG) - Université de Rennes 1 (UR1) - École des Hautes Études en Santé Publique [EHESP] (EHESP) - Institut National de la Santé et de la Recherche Médicale (INSERM) - Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ) CHU Pontchaillou [Rennes] Agence de la Biomédecine ; Agence de la biomédecine Institut de Génétique et Développement de Rennes (IGDR) ; Université de Rennes 1 (UR1) - Centre National de la Recherche Scientifique (CNRS) - Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ) This study was supported by grants from French Biomedicine Agency.

Éditeur(s) : HAL CCSD Oxford Journals
Résumé : International audience
Background - Several studies have investigated the implication of biological and environmental factors on geographic variations of end-stage renal disease (ESRD) incidence at large area scales, but none of them assessed the implication of neighbourhood characteristics (healthcare supply, socio-economic level and urbanization degree) on spatial repartition of ESRD. We evaluated the spatial implications of adjustment for neighbourhood characteristics on the spatial distribution of ESRD incidence at the smallest geographic unit in France.Methods - All adult patients living in Bretagne and beginning renal replacement therapy during the 2004–09 period were included. Their residential address was geocoded at the census block level. Each census block was characterized by socio-economic deprivation index, healthcare supply and rural/urban typology. Using a spatial scan statistic, we examined whether there were significant clusters of high risk of ESRD incidence.Results - The ESRD incidence was non-randomly spatially distributed, with a cluster of high risk in the western Bretagne region (relative risk, RR = 1.28, P-value = 0.0003). Adjustment for sex, age and neighbourhood characteristics induced cluster shifts. After these adjustments, a significant cluster (P = 0.013) persisted.Conclusions - Our spatial analysis of ESRD incidence at a fine scale, across a mixed rural/urban area, indicated that, beyond age and sex, neighbourhood characteristics explained a great part of spatial distribution of ESRD incidence. However, to better understand spatial variation of ESRD incidence, it would be necessary to research and adjust for other determinants of ESRD.
Clinical Kidney Journal

hal-01118626
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01118626
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01118626/document
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01118626/file/Spatial%20distribution%20of%20end-stage%20renal%20disease.pdf
DOI : 10.1093/ckj/sfu131

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