low mood
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A machine learning approach identifies unique predictors of borderline personality disorder
Researchers in the USA have identified critical predictors of borderline personality disorder (BPD) in late adolescence, using a machine learning approach. Joseph Beeney and colleagues harnessed data from a large, prospective, longitudinal dataset of >2,400 girls who were evaluated yearly for various clinical, psychosocial and demographic factors.
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Dr. Andrew Beck ‘CAMHS, COVID19, and CBT’ – In Conversation
Dr. Beck is the President Elect of BABCP, taking the position in July 2020 and he talks about his hopes for the future of the organisation, the importance of self-care, CAMHS, and why CBT is his intervention of choice.
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Reporting of depression symptoms in children with ADHD: do parents know best?
ADHD is a common neurodevelopmental disorder characterised by hyperactive-impulsiveness and inattention. ADHD often co-occurs with emotional disorders such as depression and anxiety. Depression in particular is prominent amongst adolescents with ADHD, and can be difficult to identify as it can have similar features both to ADHD itself and to some of the side effects of ADHD medication.
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Parental responses in predicting children’s PTSD
Many children will be exposed to a potentially traumatic situation at some point in their childhood -that is, an event where there is a potential threat to life or of serious injury to the child, or to someone close to them. These events can range from common unintentional or accidental traumas, such as car accidents or serious sporting accidents, to deliberate harm, such as assault or maltreatment. Such trauma exposure can have a significant negative impact on a child’s psychological wellbeing.
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Clinical characteristics of adolescents referred for treatment of depressive disorders
Low mood and depression often emerge during adolescence and are associated with long-term difficulties including increased risk of developing other mental health disorders, educational underachievement, low income/unemployment, and risk of suicidal behaviour.
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