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CMAJ. 2011 Nov 22;183(17):1969-76. doi: 10.1503/cmaj.110676. Epub 2011 Oct 24.

Predictors of long-term prognosis of depression.

Author information

1
School of Public Health, University of Alberta, Edmonton, Alta. icolman@uottawa.ca

Abstract

BACKGROUND:

Many people with depression experience repeated episodes. Previous research into the predictors of chronic depression has focused primarily on the clinical features of the disease; however, little is known about the broader spectrum of sociodemographic and health factors inherent in its development. Our aim was to identify factors associated with a long-term negative prognosis of depression.

METHODS:

We included 585 people aged 16 years and older who participated in the 2000/01 cycle of the National Population Health Survey and who reported experiencing a major depressive episode in 2000/01. The primary outcome was the course of depression until 2006/07. We grouped individuals into trajectories of depression using growth trajectory models. We included demographic, mental and physical health factors as predictors in the multivariable regression model to compare people with different trajectories.

RESULTS:

Participants fell into two main depression trajectories: those whose depression resolved and did not recur (44.7%) and those who experienced repeated episodes (55.3%). In the multivariable model, daily smoking (OR 2.68, 95% CI 1.54-4.67), low mastery (i.e., feeling that life circumstances are beyond one's control) (OR 1.10, 95% CI 1.03-1.18) and history of depression (OR 3.5, 95% CI 1.95-6.27) were significant predictors (p < 0.05) of repeated episodes of depression.

INTERPRETATION:

People with major depression who were current smokers or had low levels of mastery were at an increased risk of repeated episodes of depression. Future studies are needed to confirm the predictive value of these variables and to evaluate their accuracy for diagnosis and as a guide to treatment.

PMID:
22025655
PMCID:
PMC3225418
DOI:
10.1503/cmaj.110676
[Indexed for MEDLINE]
Free PMC Article

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