2011
DOI: 10.1503/cmaj.110676
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Predictors of long-term prognosis of depression

Abstract: Research CMAJBackground: 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… Show more

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Cited by 86 publications
(66 citation statements)
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“…Sixth, we did not have information on all demographic factors, including family income, to include as covariates in our study. Income is a risk factor for depression 54,55 and higher religiousness has been associated with higher income level in Canada, 56 therefore, it is possible that income may account for these associations. Last, our study was carried out in a single region of central and northern Nova Scotia, which may limit its generalizability.…”
Section: Discussionmentioning
confidence: 99%
“…Sixth, we did not have information on all demographic factors, including family income, to include as covariates in our study. Income is a risk factor for depression 54,55 and higher religiousness has been associated with higher income level in Canada, 56 therefore, it is possible that income may account for these associations. Last, our study was carried out in a single region of central and northern Nova Scotia, which may limit its generalizability.…”
Section: Discussionmentioning
confidence: 99%
“…8 The accuracy of family physicians in predicting the course of depression is described as fair, 9 although as in other conditions it has been studied relatively little. Useful predictors of poor depression outcome in primary care have been identified in 3 main areas: individual characteristics (age, 10 high neuroticism levels, 11 perceived need for care, 12 low mastery 13 ); socioeconomic status (low education level, 12 low income, 12 unemployment 12 ); loneliness, 12 low social support, 12,14 limitations of social activities due to health 14 ; and health, both physical (medical comorbidity, 11,12,14,15 chronic pain, 11 daily smoking 13 ) and mental (comorbid anxiGilles Ambresin, MD 1 ety, 11,12,15 double depression, 11 severity of depressive symptoms, 11,12,14,16 somatic symptoms of depression, 16 history of recurrent depression, 15 remission status at 3 months, 15 appropriate use of antidepressant medications, 14 greater mental dysfunction 16 ). Reliable assessment of the predictors listed above requires time and a multitude of validated instruments.…”
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confidence: 99%
“…In a related research article, Colman and colleagues used population-based longitudinal data to try to identify risk factors that predict recurrence. 2 Individuals with recurrent depression tend to have more severe initial episodes and a poorer response to treatment during subsequent recurrences compared with those without recurrent depression. 3 One goal of predicting which patients are likely to experience a recurrence is to identify those who should receive long-term treatment for depression.…”
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confidence: 99%
“…The other reaction is to believe that there is no method beyond that used by Colman and colleagues that can add to our ability to predict recurrence. 2 Data from population-based surveys may be useful for understanding the predictors of recurrence because the samples tend to be more heterogeneous than those derived from clinical populations and therefore may potentially be more representative of the population with the disorder. At the same time, such heterogeneity can lead to at least two major limitations.…”
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confidence: 99%