Ecological study of isolation and suicide in Tuscany (Italy)

The purpose of the study was to investigate the association between suicide and demographic and socio-economic measures in Tuscany. Data on standardized rates of suicide from 1997 to 2005 in addition to census-derived variables, income and abstention were derived from the Mortality register, the 2001 Census, the Tax Agency and the Regional Electoral Office databases. Pearson's correlation and stepwise multiple regression analyses (unweighted and weighted by population) were used to analyze the association between suicide rates and demographic and socio-economic measures for the 34 health districts for both males and females. The correlation analyses showed that suicide was significantly associated with many variables in men, but only with old age in women. The multiple regression analyses showed that the best predictors in men were education, single person households and isolated houses (only education and single person households in the weighted model). For women, the best predictors were the proportion of elderly people and income (this was also true for the weighted model, but in the opposite order). An ecological correlation between suicide and measures of economic deprivation and social fragmentation was found in both men and women. Among the best predictors, isolated houses may act as a marker for remoteness and isolation on a small scale.