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Dataset Information

Prediction of drug abuse recurrence: a Swedish National Study.


ABSTRACT:

Background

Relapse from drug abuse (DA) is common, but has rarely been studied in general population samples using a wide range of objective predictors.

Method

Using nationwide registries, we ascertained 44 523 subjects first registered for DA between the ages of 15 and 40 in 1998 to 2004 and followed for 8 years. We predicted relapse in subjects defined as a second DA registration. We also predicted DA relapse in relative pairs concordant for DA but discordant for relapse.

Results

In multivariate regression analyses, the strongest predictors for relapse were prior criminal behavior, male sex, being on social welfare, low school achievement, prior alcoholism, and a high-risk father. A risk index trained from these analyses on random split-halves demonstrated a risk ra

SUBMITTER: Kendler KS 

PROVIDER: S-EPMC5893422 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature