Sarah Carr explores a recent cross-sectional study on sexual minority status and symptoms of psychosis, which looks at the role of bullying, discrimination, social support and drug use.
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Jennifer Burgess summarises the results of a small cross-sectional study of young pregnant women at risk of mental disorders, which found that young women had greater odds of having a common mental disorder and CMDs were associated with living alone and abuse.
Follow #ESMI today on Twitter for all of the updates from the ESMI study day (Effectiveness of Services for Mothers with Mental Illness).
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Lucinda Powell looks at a recent study which finds little clear-cut evidence that screen time decreases adolescent well-being.
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Ben Janaway explores a recent review in JAMA Psychiatry on the emerging clinical neuroscience of Autism Spectrum Disorder.
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David Turgoose explores a systematic review of reviews that looks at the effects of screen time on the health and well-being of children and adolescents. The review found that higher levels of screen time were related to some physical and mental health concerns, such as poor diet, obesity and depression.
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Sally McManus writes her debut elf blog on a recent national cohort study of multiple adverse outcomes following first discharge from psychiatric care, which finds that mental health inpatients are more likely to experience all types of adversity after leaving hospital.
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Benjamin Janaway blogs about a major data analysis that links adolescent cannabis use with increased risk of depression and suicide. He considers the opportunities for early recognition of cannabis use and public intervention.
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Samuele Cortese reports on a recent study of 13-25 year old people with ADHD, which looks at the comparative risk of psychosis during treatment with methylphenidate and amphetamines.
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Sarah Carr writes an important blog for #PrideMonth that looks at general and LGBTQ-specific factors associated with mental health and suicide risk among LGBTQ students.
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Lucy Bowes explores a multi-polygenic score approach to identifying individual vulnerabilities associated with the risk of bullying, which suggests that depression, ADHD, risk taking, BMI and intelligence are independently associated with exposure to bullying.
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