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Depression in older people is commonly under diagnosed and is associated with increased morbidity and mortality. Because older people currently occupy 65% of acute hospital beds, it is crucial for them to be properly assessed for depression to optimise their medical care. The aim of this study was to identify potential risk factors for depression in the medically ill in order to improve their inpatient care. Login using your SSSFT NHS OpenAthens for full text. SSOTP - request a copy of the article from the library - www.sssft.nhs.uk/library
Follow-up data from the CoBalT trial poses an interesting clinical question (Wiles et al, 2016). If an individual has apparently treatment-resistant depression and antidepressant ‘usual care’ appears the only option available, is there any possible benefit to providing a moderate length course of CBT alongside the medication, and if so, what are the benefits and how long do they last for? Could benefits be detected not just months, but years after the end of therapy?
Despite being ‘everyday technology’, the Internet and telephone are under-utilised in helping meet the challenges of improving access to services. The Serenity Programme enables people to receive psychological therapy at home, using the telephone and Internet.
Users decide when and where they will use the Programme. The programme is delivered in North Wales in partnership with Mind (Aberconwy) and Parabl (http://www.parabl.org.uk/), a third-sector provider of mental health services.
Problem and pathological gamblers are significantly more likely to experience mood disorders, compared with the general population. Our study examined the relation of psychological characteristics (personality, trait impulsiveness, and gambling motives) to current co-occurring mood disorder (major depression and dysthymia) status among problem and pathological gamblers. Login using your SSSFT NHS OpenAthens for full text. SSOTP - request a copy of the article from the library - www.sssft.nhs.uk/library
Combining antidepressants (ADs) for therapy of acute depression is frequently employed, but randomized studies have yielded conflicting results. We conducted a systematic review and meta-analysis aimed at determining efficacy and tolerability of combination therapy. Login using your SSSFT NHS OpenAthens for full text. SSOTP - request a copy of the article from the library - www.sssft.nhs.uk/library
Understanding who responds well to treatment for depression is important both scientifically (to help develop better treatments) and clinically (to more efficiently prescribe effective treatments to individuals). Many attempts to predict treatment outcomes have focused on mechanistic pathways (e.g., genetic and brain imaging measures). However, these may not be particularly useful clinically, where such measures are typically not available to clinicians making treatment decisions. A better alternative might be to use routinely- or readily-collected behavioural and self-report data, such as demographic variables and symptom scores.
Chekroud and colleagues (2015) report the results of a machine learning approach to predicting treatment outcome in depression, using clinical (rather than mechanistic) predictors.
Women have twice the risk of developing major depression compared to men. This difference is most noticeable during the reproductive period years (Soares et al, 2008) (e.g. premenstrual, during pregnancy and postpartum, and perimenopause) when women are subject to large fluctuations of ovarian hormones.
Additionally, oestrogens are believed to utilise neuroprotective and antidepressive actions within the the brain (Arevalo et al, 2015), and transitioning to the postmenopausal period is associated with a large drop in oestrogen production (Burger al al., 2007).
Therefore, the authors, Georgakis et al (2016), are using ‘age at menopause’ and ‘duration of reproductive age’ as two markers of lifelong oestrogen exposure to measure the association with risk of depression in postmenopausal women.
Depression in older adults is often under recognised despite it being the most common mental health illness in this age group. An increasing older adult population highlights the need for improved diagnostic rates. Brief versions (15 items or less) of the Geriatric Depression Scale (GDS), which are suitable for busy clinical practice, could improve detection rates. Login using your SSSFT NHS OpenAthens for full text. SSOTP - request a copy of the article from the library - www.sssft.nhs.uk/library
Cognitive therapies could be an effective alternative to medication in the treatment of depression, according to NIHR research featured in a new Highlight from the NIHR Dissemination Centre.
The Highlight brings together four studies funded by the NIHR that shed light on when, how and for whom, cognitive therapies might be effective. These are accompanied by blogs and interviews with charities, clinicians, researchers and patients.
Antidepressant treatment failure is a common problem worldwide. In this study, we assess whether or not an important aspect of depression, cognitive impairment, is untreated by antidepressants by studying the effect of acute antidepressant treatment on a range of cognitive domains. Please contact the library to receive a copy of this article - http://bit.ly/1Xyazai
Cognitive–behavioural therapy (CBT) is effective for treating anxiety disorders and is offered in most mental health services around the world. However, a relatively large number of patients with anxiety disorders do not benefit from CBT, experience relapses or drop out. Reliable predictors of treatment effects are lacking. The aim of this study is to investigate the predictive value of emotion regulation and attentional control for CBT outcome in a routine setting. To read the full article, log in using your NHS OpenAthens details
Adolescence is a period of increased risk for mental health problems and development of associated lifestyle risk behaviours. This study examined cross-sectional and longitudinal associations between obesogenic risk factors, weight status, and depressive symptomatology in a cohort of Australian adolescents. Open Access Article
Although there have been tremendous advances in the understanding of human dysfunctions in the brain circuitry for self-reflection, emotion, and cognitive control, a brain-based taxonomy for mental disease is still lacking. As a result, these advances have not been translated into actionable clinical tools, and the language of brain circuits has not been incorporated into training programmes. To address this gap, I present this synthesis of published work, with a focus on functional imaging of circuit dysfunctions across the spectrum of mood and anxiety disorders. Please contact the library to receive a copy of this article - http://bit.ly/1Xyazai