Irregular sleep and a weaker day-night activity contrast may flag depression relapse weeks before it happens. Could wrist-worn devices become part of relapse prevention?
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Irregular sleep and a weaker day-night activity contrast may flag depression relapse weeks before it happens. Could wrist-worn devices become part of relapse prevention?
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Adolescents with mental health conditions spend more time on social media and engage with it differently, especially those with internalising conditions like anxiety or eating disorders. Let’s avoid thinking of ‘mental health’ as one category when it comes to young people’s lives on social media.
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Approach Bias Modification didn’t significantly beat standard smoking cessation care, but this may say more about the trial’s power than the intervention itself.
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Young people engage more with digital mental health platforms when they feel validated by peer stories, social connection and accessible design. These are the key drivers of sustained youth engagement.
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Two new studies from the Adolescent Brain Cognitive Development cohort find that the younger a child is when they get a phone, the higher their risk of depression, obesity and insufficient sleep over the following year. For families whose children already have a phone, the most actionable levers are limiting daily use and keeping the device out of the bedroom at night.
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A new systematic review finds that mental health and neurodivergence-related misinformation is highest on TikTok, but quality varies widely across all platforms.
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A new RCT tested text message CBT for generalised anxiety in young adults, with promising results. But is it ready for clinical practice?
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Schools spend the equivalent of three full-time staff managing phone use, whether or not students are allowed to have phones in school. This new study asks if banning smartphones actually improves pupils’ wellbeing or saves money for schools.
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Four recent reviews all agree: we still don’t know how to define, measure, or improve engagement with digital mental health interventions.
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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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