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

Table 1 Modeling the association between deprivation, urban-rural gradient, and stroke incidence

	Women Negative Binomial models
	Coefficients	p value	Goodness of fit
FDep index
Intercept	0.002
FDep index	−0.025	0.11
AICc ^a			883.1
Pseudo R-square value ^b			1.5%
Deprivation & Urban-rural index
Intercept	−0.08
Class 1: Low deprived in suburban or isolated towns	0.016	0.82
Class 2: High deprived in rural areas	0.237	< 0.001
Class 3: Low deprived in urban areas	REF
Class 4: High deprived in urban areas	0.212	0.01
AICc ^a			872.3
Pseudo R-square value ^b			7.9%

^a Corrected Akaike Information Criterion often used for small number of observational data
^b R square value = percentage of deviance explained by the model

ISSN: 1471-2458