risk factors
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big data, cohort study, Denmark, Editor Laura Hemming, fatherhood, Finland, longitudinal, motherhood, offspring, parenting, parents, perinatal, perinatal mental health, risk factors, The British Journal of Psychiatry, youth mental healthThe chicken and egg story: does children’s mental health worsen parental mental health outcomes?
Mental health difficulties in children and young people are a significant public…
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abuse, adverse childhood experiences, Anxiety, child abuse, childhood adversity, cohort study, crime, depression, domestic abuse, domestic violence, gender-based violence, interpersonal violence, intimate partner violence, long-term illness or disability, male mental health, physical abuse, physical health, PTSD, risk factors, self-harm, sexual abuse, sexual violence, suicide, violence, women’s mental healthViolence’s health toll doesn’t fade with age
Violence may end in a moment, but its effects can last a…
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abuse, adverse childhood experiences, Anxiety, child abuse, childhood adversity, cohort study, crime, depression, domestic abuse, domestic violence, gender-based violence, interpersonal violence, intimate partner violence, long-term illness or disability, male mental health, physical abuse, physical health, PTSD, risk factors, self-harm, sexual abuse, sexual violence, suicide, violence, women’s mental healthViolence’s health toll shows little sign of fading with age
Violence may end in a moment, but its effects can last a…
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antipsychotic, BMJ Mental Health, cardiovascular disease, cardiovascular events, cohort study, Denmark, Editor Eimear Foley, electronic health records, external validation, health inequalities, lasso regression, logistic regression, machine learning, mixed methods, mortality gap, physical health, physical health inequalities, prediction, psychosis, registry data, risk factors, risk prediction, schizophrenia, Sweden, topical, xgboostPredicting cardiovascular disease in schizophrenia: does machine learning actually help?
On average, people with schizophrenia spectrum disorders die 15 to 20 years…
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antipsychotic, BMJ Mental Health, cardiovascular disease, cardiovascular events, cohort study, Denmark, Editor Eimear Foley, electronic health records, external validation, health inequalities, lasso regression, logistic regression, machine learning, mixed methods, mortality gap, physical health, physical health inequalities, prediction, psychosis, registry data, risk factors, risk prediction, schizophrenia, Sweden, topical, xgboostPredicting cardiovascular disease in schizophrenia: does machine learning actually help?
On average, people with schizophrenia spectrum disorders die 15 to 20 years…
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child and adolescent, cross-sectional, depression, digital health, digital mental health, digital technology, harm, harm reduction, JAMA Pediatrics, obesity, parenting, Pediatrics, prospective study, risk factors, sleep, sleep disorders, sleep problems, smartphone acquisition, smartphones, teenagers, topical, youth mental health
Should we wait until age 13 before giving our kids a smartphone?
Two new studies from the Adolescent Brain Cognitive Development cohort find that…
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abuse, bmj open, child abuse, domestic abuse, Editor Laura Hemming, physical abuse, risk factors, survey, topical, trauma, verbal abuseWhen words wound: the underestimated impact of verbal abuse
We often say that words can hurt, but do we really take…
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bipolar disorder, Diagnosis, digital health, digital innovation, digital mental health, early intervention, Editor Simon Bradstreet, Lancet Psychiatry, natural language processing, prediction, prediction model, psychosis, risk factors, routinely collected data, schizophreniaSpotting bipolar and psychosis risk earlier using routine clinical records
The signs of mental health conditions, such as schizophrenia and bipolar disorder,…

