For the first time, people with lived experience, carers and clinicians have identified the top 10 research priorities for body clocks and mental health.
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For the first time, people with lived experience, carers and clinicians have identified the top 10 research priorities for body clocks and mental health.
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A 28-predictor model using routine mental health records correctly identified risk for psychotic or bipolar disorders around 80% of the time, outperforming existing assessment tools in a study of 127,000 people.
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Large pragmatic trial found metformin plus lifestyle intervention reduced weight gain in young people with bipolar disorder taking antipsychotics. Effect significant but modest at 6 and 24 months.
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Psychiatric disorders share genetic variants that cluster into five main factors. Understanding shared biology could improve treatment, but more diverse genetic data urgently needed.
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Psychiatric hospitalisation can save lives, but it also carries major personal and economic costs. Could early warning scores help predict who’s most at risk, allowing for earlier, more targeted support? This new BMJ Mental Health study by Taquet and colleagues explores the potential.
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High misdiagnosis rates between bipolar and major depressive disorder cause real harm to patients and services. This new neuroimaging study tested whether brain connectivity and machine learning could do a better job of telling the two apart, with interesting but limited results.
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People with severe mental illness are more than twice as likely to die from respiratory disease than those without. This new systematic review highlights the scale of the problem and why action on public health and social inequality is just as vital as stop-smoking advice.
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Guidelines say metformin can help prevent weight gain from antipsychotics like olanzapine, but this large UK study shows it’s rarely prescribed. What’s stopping us?
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People with severe mental illness often face years of poor health before diagnosis. A new study uses machine learning and clinical notes to map the early warning networks of symptoms that could help us intervene earlier.
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Psychiatric disorders are highly heritable, but are the genes we identify in GWAS the same ones our medications target? This new study digs into the overlap and raises questions about how we develop treatments.
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