title: Models of suicide risk: nice persons.
abstract: The hypotheses are advanced that: (1) certain types of persons at risk for suicide represent identifiable clinical models, and (2) that such models provide relatively homogeneous samples from which specific high-risk indicators can be derived for clinical application to others who represent that model. Nine-hundred and eighty-six psychiatric inpatients representing the "Nice Persons" model, including 35 suicides, were randomly divided into an index and a validation set. Statistical analysis of the index set (N = 579), using a screening procedure followed by linear discriminant and linear logistic procedures, identified 11 high-risk indicators from 184 prospectively determined variables. When applied to the independent validation set (N = 407), the 11 indicators identified the suicides in that set with a sensitivity of 46% and specificity of 88%. Though not statistically significant, this level of efficiency is clinically of considerable potential value. Most importantly, the hypothesis is testable and is shown to deserve further development.
authors.affiliation: School of Medicine, University of California, San Francisco 94143.
authors.forename: J A
authors.initials: JA
authors.lastname: Motto
authors.forename: A G
authors.initials: AG
authors.lastname: Bostrom
mesh_terms: D006379:Helping Behavior; D006801:Humans; D008019:Life Style; D010552:Personality Assessment; D012307:Risk Factors; D013405:Suicide / Q000523:psychology*; D013406:Suicide, Attempted / Q000517:prevention & control / Q000523:psychology; D000092864:Suicide Prevention