In the lead up to our Loneliness Mental Health Question Time on 3rd Dec 2018, Dr Michelle Lim summarises a recent systematic review on the associations between loneliness and perceived social support and outcomes of mental health problems.
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Martin Webber looks at a systematic review and meta-analysis of studies reporting on the association between informal carers’ sense of coherence, caregiver burden and mental health outcomes.
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This review of the association between depression an oral health included 16 cross-sectional studies suggesting a positive association between depression and dental caries, tooth loss, and edentulism.
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Andrew Thompson writes his debut blog on a recent systematic review that explores the associations linking facial scarring (largely caused by assaults or burn injuries) to depression and anxiety.
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Thalia Eley and Gerome Breen explore a new systematic meta-review of predictors of antidepressant treatment outcome in depression, which looks at clinical and demographic variables, but also biomarkers including both genetic and neuroimaging data.
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Simon Brett summarises a robust systematic review that looks at the effectiveness of physical activity as a treatment for depression in adolescents and young adults.
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Andy Bell from Centre for Mental Health writes his debut elf blog on a systematic review of income inequality and depression, which explores the associations between the two, but also the likely causes of these associations.
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As we prepare for our Cannabis #MHQT event on Wed 26 Sep, Luke Sheridan Rains dissects a narrative review that asks: Is cannabis treatment for anxiety, mood, and related disorders ready for prime time?
His answer is that current evidence does not support the use of medical cannabis for mental illnesses such as anxiety or depression.
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Ava Schulz reviews a paper by Mansell and McEvoy which looks at psychopathology in a heterogenous clinical sample of anxiety and depression.
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Sarah Hetrick publishes her debut blog on a recent US cross-sectional study that looks at the association between positive and negative social media experiences and symptoms of depression.
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