Résumé :
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[BDSP. Notice produite par INIST-CNRS 8pnR0xqr. Diffusion soumise à autorisation]. Objectives. We sought to better determine the way in which neighborhood disadvantage affects the shape of the age-crime curve. Methods. We used data from the Pittsburgh Youth Study (PYS), a 14-year longitudinal study, to compare the age-crime curves of individuals in neighborhoods of different disadvantage. We visually compared observed age-crime curves, and then used generalized linear mixed models to test for differences in curve parameters. Results. Adjusted for individual risk factors, the mixed models found that the parameters for interactions of neighborhood disadvantage with both linear age and quadratic age were significant (P<. and consistent with higher longer age-crime curves in more disadvantaged neighborhoods. this implied that compared boys advantaged neighborhoods rates of violence among rose to levels were sustained significantly longer. conclusions. these results suggested residing a neighborhood during early adolescence may have an enduring effect on the shape curve throughout individual life.>
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