Do guided internet-based interventions result in clinically relevant changes for patients with depression? An individual participant data meta-analysis
Little is known about clinically relevant changes in guided Internet-based interventions for
depression. Moreover, methodological and power limitations preclude the identification of …
depression. Moreover, methodological and power limitations preclude the identification of …
Understanding depressive rumination from a cognitive science perspective: The impaired disengagement hypothesis
EHW Koster, E De Lissnyder, N Derakshan… - Clinical psychology …, 2011 - Elsevier
Persisting negative thoughts are considered a hallmark of depression. Recent information-
processing approaches have begun to uncover underlying mechanisms of depressive …
processing approaches have begun to uncover underlying mechanisms of depressive …
Childhood maltreatment predicts unfavorable course of illness and treatment outcome in depression: a meta-analysis
Objectives: Evidence suggests that childhood maltreatment may negatively affect not only
the lifetime risk of depression but also clinically relevant measures of depression, such as …
the lifetime risk of depression but also clinically relevant measures of depression, such as …
Estimating remission from untreated major depression: a systematic review and meta-analysis
BackgroundFew studies have examined spontaneous remission from major depression.
This study investigated the proportion of prevalent cases of untreated major depression that …
This study investigated the proportion of prevalent cases of untreated major depression that …
Life stress, the" kindling" hypothesis, and the recurrence of depression: considerations from a life stress perspective.
SM Monroe, KL Harkness - Psychological review, 2005 - psycnet.apa.org
Major depression is frequently characterized by recurrent episodes over the life course. First
lifetime episodes of depression, however, are typically more strongly associated with major …
lifetime episodes of depression, however, are typically more strongly associated with major …
Major depression in individuals with chronic medical disorders: prevalence, correlates and association with health resource utilization, lost productivity and functional …
LE Egede - General hospital psychiatry, 2007 - Elsevier
OBJECTIVE: The objective of this study was to determine the prevalence and odds of major
depression and the incremental effect of major depression on utilization, lost productivity …
depression and the incremental effect of major depression on utilization, lost productivity …
Predictors of depression after stroke: a systematic review of observational studies
ML Hackett, CS Anderson - Stroke, 2005 - Am Heart Assoc
Background and Purpose—Although depression is common after stroke, there is uncertainty
over its etiology and risk factors, which complicates management. Knowledge of the …
over its etiology and risk factors, which complicates management. Knowledge of the …
How should remission from depression be defined? The depressed patient's perspective
M Zimmerman, JB McGlinchey… - american Journal of …, 2006 - Am Psychiatric Assoc
OBJECTIVE: Although experts in the treatment of depression have suggested that achieving
remission is the primary goal of treatment, questions remain about how remission should be …
remission is the primary goal of treatment, questions remain about how remission should be …
Optimized antidepressant therapy and pain self-management in primary care patients with depression and musculoskeletal pain: a randomized controlled trial
Context Pain and depression are the most common physical and psychological symptoms in
primary care, respectively. Moreover, they co-occur 30% to 50% of the time and have …
primary care, respectively. Moreover, they co-occur 30% to 50% of the time and have …
The default mode network and recurrent depression: a neurobiological model of cognitive risk factors
A neurobiological account of cognitive vulnerability for recurrent depression is presented
based on recent developments of resting state neural networks. We propose that alterations …
based on recent developments of resting state neural networks. We propose that alterations …