Accurate evaluations of the dangers posed by psychiatric inpatients are nec
essary, although a number of studies have questioned the accuracy of violen
ce prediction. In this prospective study, we evaluated several variables in
the prediction of violence in 63 inpatients with a DSM-IV diagnosis of sch
izophrenia or schizoaffective disorder. Nurses rated violent incidents with
the Overt Aggression Scale. During hospitalization, sociodemographic varia
bles, clinical history, neurological soft signs, community alcohol or drug
abuse, and electroencephalographic abnormalities did not differ between vio
lent and nonviolent groups. Violent patients had significantly more positiv
e symptoms as measured by the Positive and Negative Syndrome Scale (PANSS),
higher scores on the PANSS general psychopathology scale, and less insight
in the different constructs assessed. A logistic regression was performed
to discriminate between violent and nonviolent patients. Three variables en
tered the model: insight into symptoms, PANSS general psychopathology score
, and violence in the previous week. The actuarial model correctly classifi
ed 84.13 percent of the sample; this result is significantly better than ch
ance for the base rate of violence in this study. At hospital admission, cl
inical rather than sociodemographic variables were more predictive of viole
nce. This finding has practical importance because clinical symptoms are am
enable to therapeutic approaches. This study is the first to demonstrate th
at insight into psychotic symptoms is a predictor of violence in inpatients
with schizophrenia.