Search

Objective: To investigate the association between homicide rates and socio-economic variables taking into account the spatial site of the indicators., Methods: An ecological study was conducted. The dependent variable was the rate of homicides among the male population aged 15 to 49 years, residing in the districts of the State of Pernambuco from 1995 to 1998. The independent variables were an index of the living conditions, per capita family income, Theil inequality index, Gini index, average income of the head of the family, poverty index, rate of illiteracy, and demographic density. The following techniques were used in the analysis: a spatial autocorrelation test determined by the Moran index, multiple linear regression, a spatial regression model (CAR) and a generalized additive model for the detection of spatial trend (LOESS)., Results: The illiteracy and the poverty index explained 24.6% of the total variability of the homicide rates and there was an inverse relationship. Moran's I statistics indicated spatial autocorrelation between municipalities. The multiple linear regression model best fitted for the purposes of this study was the Conditional Auto Regressive (CAR) model. The latter confirmed the association between the poverty index, illiteracy and homicide rates., Conclusions: The inverse association observed between socio-economic indicators and homicides may be expressing a process that propitiates improvement in living conditions and that is linked predominantly to conditions that generate violence, such as drug traffic.

Objective: To analyze the magnitude and growth of homicides among male population according to the geopolitical areas., Methods: An ecological study including a time series analysis was carried out among 15 to 49 year-old males living in the state of Pernambuco, Brazil. Mortality data was collected from the Ministry of Health's Mortality Information System. Data on population was from the 1980 and 1991 censuses and the 1996 Brazilian Institute of Geography and Statistics' census. For inter-census years, the population size was estimated by interpolation, and for the period 1997-1998 it was estimated by projection, using the geometric method. Statistical analysis was performed using mobile mean and regression analysis techniques., Results: In the 1980s, the greatest increase in homicide rates was in the state capital (390%). In the 1990s, the greatest increase occurred in the metropolitan region (68.5%) suggesting violence spread from the capital to other municipalities of greater Recife. Homicide rates tended to grow linearly in the interior, whilst there was an exponential growth in the capital and metropolitan region. A striking feature is the high rates of homicides with firearms in the three areas., Conclusions: The progression of homicides in the three areas of study shows a characteristic increase. It should be stressed that even though it is the same phenomenon - male homicides -, the generating dynamic of this process has geographical particularities between more urban and interior areas and they should be taken into account while developing local policies for supporting victims and preventing these events.