Journal of affective disorders
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Randomized Controlled Trial Comparative Study
Internet-based versus face-to-face cognitive-behavioral intervention for depression: a randomized controlled non-inferiority trial.
In the past decade, a large body of research has demonstrated that internet-based interventions can have beneficial effects on depression. However, only a few clinical trials have compared internet-based depression therapy with an equivalent face-to-face treatment. The primary aim of this study was to compare treatment outcomes of an internet-based intervention with a face-to-face intervention for depression in a randomized non-inferiority trial. ⋯ This study shows that an internet-based intervention for depression is equally beneficial to regular face-to-face therapy. However, more long term efficacy, indicated by continued symptom reduction three months after treatment, could be only be found for the online group.
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Randomized Controlled Trial Comparative Study
Do depression treatments reduce suicidal ideation? The effects of CBT, IPT, pharmacotherapy, and placebo on suicidality.
Many well-researched treatments for depression exist. However, there is not yet enough evidence on whether these therapies, designed for the treatment of depression, are also effective for reducing suicidal ideation. This research provides valuable information for researchers, clinicians, and suicide prevention policy makers. ⋯ This study demonstrates the specific effectiveness of IPT and medications in reducing suicidal ideation (relative to placebo), albeit largely as a consequence of their more general effects on depression. This adds to the growing body of evidence that depression treatments, specifically IPT and medication, can also reduce suicidal ideation and serves to further our understanding of the complex relationship between depression and suicide.
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Integration of depression screening into primary care may increase access to mental health services in sub-Saharan Africa, but this approach requires validated screening instruments. We sought to validate the Patient Health Questionnaire-9 (PHQ-9) as a depression screening tool at a high HIV-burden primary care clinic in Johannesburg, South Africa. ⋯ This is the first validation study of the PHQ-9 in a primary care clinic in sub-Saharan Africa. It highlights the potential for using primary care as an access point for identifying depressive symptoms during routine HIV testing. The PHQ-9 showed reasonable accuracy in classifying cases of depression, was easily implemented by lay health workers, and is a useful screening tool in this setting.
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Lifetime rates of depression are distinctly higher in women reflecting both real and artefactual influences. Most prevalence studies quantifying a female preponderance have examined severity-based diagnostic groups such as major depression or dysthymia. We examined gender differences across three depressive sub-type conditions using four differing measures to determine whether any gender differences emerge more from severity or symptom prevalence, reflect nuances of the particular measure, or whether depressive sub-type is influential. ⋯ The study had considerable power reflecting large sample sizes and thus risks assigning significant differences where none truly exist, although we repeated analyses after controlling for the type I error rate.
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Meta Analysis Comparative Study
Could glutamate spectroscopy differentiate bipolar depression from unipolar?
Accurate differentiation of bipolar and unipolar depression is a key clinical challenge. A biological measure that could differentiate bipolar and unipolar depression might supplement clinical assessment. Magnetic Resonance Spectroscopy measurements of total glutamate and glutamine (Glx) in anterior cingulate cortex are one potential measure. The objective of this study was to assess the potential performance of this measure. ⋯ On available data, measurement of anterior cingulate Glx is a promising potential tool for differentiation of bipolar and unipolar depression. This potential effect requires direct validation within mixed clinical cohorts.