Multiple risk factors predict recurrence of major depressive disorder in women.

ABSTRACT:

Background

It is difficult to predict recurrence of depressive episodes in patients with major depression (MD): evidence for many risk factors is inconsistent and general prediction algorithms are lacking. The aim of this study was to develop a prediction model for recurrence of depressive episodes in women using improved methodology.

Methods

We used prospective data from a general population sample of female twins with a last-year MD episode (n=194). A rich set of baseline predictors was analyzed with Cox proportional hazards regression subject to elastic net regularization to find a model predicting recurrence of depressive episodes. Prediction accuracy of the model was assessed in an independent test sample (n=133), which was limited by the unavailability of a number of k

SUBMITTER: van Loo HM 

PROVIDER: S-EPMC4504430 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature