Identifying risk factors for mortality among patients previously hospitalized for a suicide attempt.

ABSTRACT: Age-adjusted suicide rates in the US have increased over the past two decades across all age groups. The ability to identify risk factors for suicidal behavior is critical to selected and indicated prevention efforts among those at elevated risk of suicide. We used widely available statewide hospitalization data to identify and test the joint predictive power of clinical risk factors associated with death by suicide for patients previously hospitalized for a suicide attempt (N = 19,057). Twenty-eight clinical factors from the prior suicide attempt were found to be significantly associated with the hazard of subsequent suicide mortality. These risk factors and their two-way interactions were used to build a joint predictive model via stepwise regression, in which the predicted individual su

SUBMITTER: Doshi RP 

PROVIDER: S-EPMC7495431 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature