BACKGROUND: Current evidence suggests an inverse association between socioeconomic status and stroke incidence. Our aim was to measure the variation in incidence among different city districts (CD) and their association with socioeconomic variables. METHODS: We prospectively ascertained all possible stroke cases occurring in the city of Joinville during the period 2005-2007. We determined the incidence for each of the 38 CD, age-adjusted to the population of Joinville. By linear regression analysis, we correlated incidence data with mean years of education (MYE) and mean income per month (MIPM). RESULTS: Of the 1,734 stroke cases registered, 1,034 were first-ever strokes. In the study period, the crude incidence in Joinville was 69.5 per 100,000 (95% confidence interval, 65.3-73.9). The stroke incidence among CD ranged from 37.5 (22.2-64.6) to 151.0 per 100,000 (69.0-286.6). The stroke incidence was inversely correlated with years of education (r = -0.532; p < 0.001). MYE and MIPM were strongly related (R = 0.958), resulting in exclusion of MIPM by collinearity. CONCLUSIONS: Years of education can explain a wide incidence variation among CD. These results may be useful to guide the allocation of resources in primary prevention policies.
BACKGROUND: Current evidence suggests an inverse association between socioeconomic status and stroke incidence. Our aim was to measure the variation in incidence among different city districts (CD) and their association with socioeconomic variables. METHODS: We prospectively ascertained all possible stroke cases occurring in the city of Joinville during the period 2005-2007. We determined the incidence for each of the 38 CD, age-adjusted to the population of Joinville. By linear regression analysis, we correlated incidence data with mean years of education (MYE) and mean income per month (MIPM). RESULTS: Of the 1,734 stroke cases registered, 1,034 were first-ever strokes. In the study period, the crude incidence in Joinville was 69.5 per 100,000 (95% confidence interval, 65.3-73.9). The stroke incidence among CD ranged from 37.5 (22.2-64.6) to 151.0 per 100,000 (69.0-286.6). The stroke incidence was inversely correlated with years of education (r = -0.532; p < 0.001). MYE and MIPM were strongly related (R = 0.958), resulting in exclusion of MIPM by collinearity. CONCLUSIONS: Years of education can explain a wide incidence variation among CD. These results may be useful to guide the allocation of resources in primary prevention policies.
Authors: András Folyovich; Ildikó Vastagh; Anna Kéri; Angéla Majoros; Koppány Levente Kovács; András Ajtay; Zsuzsanna Laki; Bence Gunda; Katalin Erdei; Laura Lenti; Zsófia Dános; Dániel Bereczki Journal: Int J Public Health Date: 2015-04-08 Impact factor: 3.380
Authors: Carlos Dornels Freire de Souza; Denilson José de Oliveira; Leonardo Feitosa da Silva; Camila Damasceno Dos Santos; Monaliza Coelho Pereira; João Paulo Silva de Paiva; Thiago Cavalcanti Leal; Renato de Souza Mariano; Amanda Karine Barros Ferreira de Araújo; Jussara Almeida de Oliveira Baggio Journal: Arq Bras Cardiol Date: 2021-01 Impact factor: 2.000
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Authors: Carla H C Moro; Anderson R R Gonçalves; Alexandre L Longo; Patricia G Fonseca; Rodrigo Harger; Débora B Gomes; Mariana C Ramos; Aline L G Estevam; Cristiane S Fissmer; Adriana C Garcia; Vivian Nagel; Norberto L Cabral Journal: Cerebrovasc Dis Extra Date: 2013-12-20