title: Part II: Sex differences in persons found not guilty by reason of insanity: analysis of data from the Connecticut NGRI Registry.
abstract: Thirty-one female insanity acquittess from Connecticut were matched to a group of 31 male NGRIs. The samples were compared with regard to demographic, criminal, and clinical characteristics. Logistic regression analyses were used to determine predictors of criminal recidivism for the sample. Results indicated that women NGRIs were older, more likely to be married, less likely to be substance abusers, had less extensive criminal records, and were released from hospitals sooner than the men. A significant racial difference was noted: white women had less extensive criminal records and were hospitalized for shorter periods than minority women. Results of the logistic regression analyses showed that the strongest independent predictors of criminal recidivism were race and having a diagnosis other than psychosis (schizophrenia, affective or organic disorders). Findings support recent APA policy guidelines on the insanity defense.
authors.affiliation: Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519.
authors.forename: H V
authors.initials: HV
authors.lastname: Zonana
authors.forename: R L
authors.initials: RL
authors.lastname: Bartel
authors.forename: J A
authors.initials: JA
authors.lastname: Wells
authors.forename: J A
authors.initials: JA
authors.lastname: Buchanan
authors.forename: M A
authors.initials: MA
authors.lastname: Getz
mesh_terms: D000328:Adult; D003134:Commitment of Persons with Psychiatric Disorders / Q000706:statistics & numerical data; D003237:Connecticut / Q000453:epidemiology; D003415:Crime / Q000706:statistics & numerical data; D005260:Female; D005555:Forensic Psychiatry / Q000706:statistics & numerical data*; D006708:Homicide / Q000706:statistics & numerical data; D006801:Humans; D015994:Incidence; D007298:Insanity Defense / Q000706:statistics & numerical data*; D007902:Length of Stay / Q000706:statistics & numerical data; D008297:Male; D008393:Marriage / Q000706:statistics & numerical data; D001523:Mental Disorders / Q000175:diagnosis / Q000453:epidemiology; D012042:Registries; D012044:Regression Analysis; D012737:Sex Factors