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Gender difference of geographic distribution of the stroke incidence affected by socioeconomic, clinical and urban-rural factors: an ecological study based on data from the Brest stroke registry in France.
Padilla, Cindy M; Foucault, Anais; Grimaud, Olivier; Nowak, Emmanuel; Timsit, Serge.
Afiliação
  • Padilla CM; Univ Rennes, EHESP, REPERES (Recherche en pharmaco-épidémiologie et recours aux soins) - EA 7449, 15, Avenue du Professeur Léon Bernard, 35043, Rennes, France. cindy.padilla@ehesp.fr.
  • Foucault A; Univ Rennes, EHESP, REPERES (Recherche en pharmaco-épidémiologie et recours aux soins) - EA 7449, 15, Avenue du Professeur Léon Bernard, 35043, Rennes, France.
  • Grimaud O; Univ Rennes, EHESP, REPERES (Recherche en pharmaco-épidémiologie et recours aux soins) - EA 7449, 15, Avenue du Professeur Léon Bernard, 35043, Rennes, France.
  • Nowak E; Centre d'Investigation Clinique-INSERM CIC 1412, CHRU, Brest, France.
  • Timsit S; Univ Brest, Inserm, EFS, UMR 1078, GGB, Neurology and Stroke unit Department, CHRU de Brest, Université de Bretagne Occidentale, Inserm 1078, Brest, F-29200, France.
BMC Public Health ; 21(1): 39, 2021 01 06.
Article em En | MEDLINE | ID: mdl-33407274
BACKGROUND: Mapping the spatial distribution of disease occurrence is a strategy to identify contextual factors that could be useful for public health policies. The purpose of this ecological study was to examine to which extent the socioeconomic deprivation and the urbanization level can explain gender difference of geographic distribution in stroke incidence in Pays de Brest, France between 2008 and 2013. METHODS: Stroke cases aged 60 years or more were extracted from the Brest stroke registry and combined at the census block level. Contextual socioeconomic, demographic, and geographic variables at the census block level come from the 2013 national census. We used spatial and non-spatial regression models to study the geographic correlation between socioeconomic deprivation, degree or urbanization and stroke incidence. We generated maps using spatial geographically weighted models, after longitude and latitude smoothing and adjustment for covariates. RESULTS: Stroke incidence was comparable in women and men (6.26 ± 3.5 vs 6.91 ± 3.3 per 1000 inhabitants-year, respectively). Results showed different patterns of the distribution of stroke risk and its association with deprivation or urbanisation across gender. For women, stroke incidence was spatially homogeneous over the entire study area, but was associated with deprivation level in urban census blocks: age adjusted risk ratio of high versus low deprivation = 1.24, [95%CI 1.04-1.46]. For men, three geographic clusters were identified. One located in the northern rural and deprived census blocks with a 9-14% increase in the risk of stroke. Two others clusters located in the south-eastern (mostly urban part) and south-western (suburban and rural part) with low deprivation level and associated with higher risk of stroke incidence between (3 and 8%) and (8.5 and 19%) respectively. There were no differences in profile of cardiovascular risk factors, stroke type and stroke severity between clusters, or when comparing clusters cases to the rest of the study population. CONCLUSIONS: Understanding whether and how neighborhood and patient's characteristics influence stroke risk may be useful for both epidemiological research and healthcare service planning.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Caracteres Sexuais / Acidente Vascular Cerebral Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged País como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Caracteres Sexuais / Acidente Vascular Cerebral Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged País como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article