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Dataset Information

Prediction of suicide attempt in a Swedish population-based cohort.


ABSTRACT:

Background

Suicidal behaviors are prevalent public health concerns, and we need to improve our predictive ability to better inform prevention efforts.

Methods

Using nationwide longitudinal Swedish registers, we included 344,490 males and 323,177 females born 1982-1990 with information on genetic liability and environmental exposures from birth to age 16: perinatal variables, parental psychopathology (suicide attempt, substance use disorder, major depression), family status, socioeconomic difficulties, peers' psychopathology, and school grades. We conducted sex-specific analysis and developed data-driven predictive models including risk factors that occurred between ages 0 and 16 using structural equation modeling.

Results

In both females and males, the best-fitting mo

SUBMITTER: Lannoy S 

PROVIDER: S-EPMC11608809 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature