BACKGROUND: The relationship between @entity1032 and violent crime is complex because of the involvement of many other confounding risk factors. In the present study, we analysed @entity146 and @entity16 in relation to the risk of convictions for violent crime, taking into account early behavioural and socio-economic risk factors. METHODS: The study population consisted of 49,398 Swedish @entity1 , who were thoroughly assessed at conscription for compulsory military service during the years 1969-1970 and followed in national crime registers up to 2006. Five diagnostic groups were analysed: @entity308 / @entity6004 , @entity1314 , @entity734 , @entity1032 and neurological conditions. In addition, eight confounders measured at conscription and based on the literature on violence risk assessment, were added to the analyses. The relative risks of convictions for violent crime during 35  years after conscription were examined in relation to @entity146 diagnoses and other risk factors at conscription, as measured by odds ratios (ORs) and confidence intervals (CIs) from bivariate and multivariate logistic regression analyses. RESULTS: In the bivariate analyses there was a significant association between receiving a @entity146 diagnosis at conscription and a future conviction for violent crime (OR   =   3.83, 95  % CI   =   3.47-4.22), whereas no significant association between neurological conditions and future violent crime (OR   =   1.03, 95  % CI   =   0.48-2.21) was found. In the fully adjusted multivariate logistic regression model, @entity1032 had the strongest association with future violent crime (OR   =   3.60, 95  % CI   =   2.73-4.75), followed by @entity734 (OR   =   2.81, 95  % CI   =   2.18-3.62), @entity1314 (OR   =   2.66, 95  % CI   =   2.21-3.19) and @entity308 (OR   =   1.29, 95  % CI   =   1.07-1.55). Among the other risk factors, early behavioural problem had the strongest association with convictions for violent crime. CONCLUSIONS: @entity1032 , @entity734 , @entity1314 and early behavioural problems are important predictors of convictions for violent crime in @entity1 .

Psychiatric and @entity16 in late adolescence and risk of convictions for violent crime in XXXX .

@entity1 :: ('9606', 'Species') :: ['men'] @entity1032 :: ('MESH:D008607', 'Disease') :: ['mental illness', 'Mental retardation', 'mental retardation'] @entity308 :: ('MESH:D003866', 'Disease') :: ['anxiety-depression'] @entity146 :: ('MESH:D001523', 'Disease') :: ['psychiatric'] @entity16 :: ('MESH:D009422', 'Disease') :: ['neurological disorders'] @entity6004 :: ('MESH:D009497', 'Disease') :: ['neuroses'] @entity1314 :: ('MESH:D010554', 'Disease') :: ['personality disorders'] @entity734 :: ('MESH:D019966', 'Disease') :: ['substance-related disorders']
@entity1 :: (9606,Species) :: ['men']
