2013
DOI: 10.4321/s1135-57272013000100006
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Análisis espacial de la morbimortalidad del cáncer de mama y cérvix: Villa Clara. Cuba. 2004-2009

Abstract: the presence of significant conglomerates so much was shown space as temporal-space, of the areas of more risk of to make sick for breast and cervix cancers. Not existing of mortality and late diagnosis conglomerates.

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Cited by 4 publications
(2 citation statements)
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“…Proportion and regression for high waist circumference across occupation level: low (57.1%, reference), intermediate (54.8%, OR 1.0, 95% CI 0.7–1.4), high (50.8%, OR 0.8, 95% CI 0.6–1.1). Proportion and regression for high waist to hip ratio across occupation level: low (67.6%, reference), intermediate (66.4%, OR 1.0, 95% CI 0.7–1.5), high (63.8%, OR 0.8, 95% CI 0.6–1.2).Hernández, 2013 [64]Registry-based/(all)Region/communityCuba/Residence I /There existed spacial clustering (RR 1.63, p  = 0.015) and spacial-time clustering (RR 1.91, p  = 0.016) of breast cancer incidence in: Encrucijada, Camajuani, Caibarien, Santa Clara, but not in the other municipalities. But there were no significant rural/urban distictions among these and other municipalities examined.Ichinohe, 2005 [52]Cross-sectional1,935/PopulationJamaicaEducation O //Regression for education as a predictor of BMI: β -0.560, CI −0.795–0.325, p  = 0.000.…”
Section: Resultsmentioning
confidence: 99%
“…Proportion and regression for high waist circumference across occupation level: low (57.1%, reference), intermediate (54.8%, OR 1.0, 95% CI 0.7–1.4), high (50.8%, OR 0.8, 95% CI 0.6–1.1). Proportion and regression for high waist to hip ratio across occupation level: low (67.6%, reference), intermediate (66.4%, OR 1.0, 95% CI 0.7–1.5), high (63.8%, OR 0.8, 95% CI 0.6–1.2).Hernández, 2013 [64]Registry-based/(all)Region/communityCuba/Residence I /There existed spacial clustering (RR 1.63, p  = 0.015) and spacial-time clustering (RR 1.91, p  = 0.016) of breast cancer incidence in: Encrucijada, Camajuani, Caibarien, Santa Clara, but not in the other municipalities. But there were no significant rural/urban distictions among these and other municipalities examined.Ichinohe, 2005 [52]Cross-sectional1,935/PopulationJamaicaEducation O //Regression for education as a predictor of BMI: β -0.560, CI −0.795–0.325, p  = 0.000.…”
Section: Resultsmentioning
confidence: 99%
“…Además de ello, basados en el uso de geoestadísticas se sugiere a priori estudiar la presencia o ausencia de un esquema de dependencia espacial a nivel univariante, para las variables estudiadas. Con tal propósito se debe implementar un análisis exploratorio de datos espaciales (AEDE) y el cálculo de un estadístico de Moran y el test local de LISA (Local Index Spatial Asociation) que ayudará a entender si se presentan asociaciones positivas o negativas entre las variables estudiadas y su efecto a nivel departamental y si esto tiene incidencia en la distribución de las respuestas sobre conocimiento y práctica en el territorio nacional (Batista Hernández et al, 2013).…”
Section: Pruebaunclassified