anxiety
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From COP29 to Net Zero Mental Health Care: What does it mean for Child and Adolescent Mental Health professionals?
Climate change and biodiversity loss are affecting the mental health of children and young people worldwide. Although many of us care deeply about ecological issues, they can seem less relevant to clinical practice and research. In this blog, Dr Shuo Zhang and Shailpriya Nand briefly summarise the literature on climate change and youth mental health before considering how Child and Adolescent Mental Health professionals can play a vital role in both reducing the carbon costs of healthcare and strengthening population mental health.
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University Students and Imposterism: Its Relationship with Happiness, Self-Efficacy, and Perfectionism
Imposter syndrome is a pertinent issue in academia. A recent article from May 2023 titled “The imposter phenomenon and its relationship with self-efficacy, perfectionism and happiness in university students” (Pákozdy et al., 2023) sheds light on this pressing issue. This blog aims to summarise the key findings of the article, discuss its strengths and limitations, evaluate its evidence, and provide a personal perspective on how this evidence can inform practice and future research.
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Professor Stephan Collishaw
Professor Stephan Collishaw serves as co-director for the Wolfson Centre for Young People’s Mental Health and Professor in the Child and Adolescent Psychiatry Section in the Division of Psychological Medicine and Clinical Neurosciences at Cardiff University.
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JCPP Annual Research Review 2024 – “Time may change me”: Developmental change across multiple time scales
We are delighted to announce the release of the 2024 Journal of Child Psychology & Psychiatry (JCPP) Annual Research Review, edited by Sara R. Jaffee.
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Inclusion and Advocacy for Women with ADHD: Addressing Inequities and Challenging Diagnostic Bias on International Women’s Day
March 8th, 2024 is International Women’s Day and this year’s theme is “Inspire Inclusion.” Unfortunately, women who hold multiple intersecting identities that are systemically oppressed world-wide are often excluded from discussions. One example includes women who are neurodiverse, and more specifically for this post, women with attention-deficit/hyperactivity disorder (ADHD). Women and non-binary folks are often excluded from appropriate diagnosis of ADHD due to bias in providers, boy/men-dominated symptoms in the DSM-5 (Barkley, 2023; Hinshaw et al., 2021), socialization to mask and internalize symptoms, and sexism and other forms of discrimination. As with most discrimination, this is even worse for women with ADHD who also hold other systemically oppressed identities. This blog will focus on how to increase equity for women with ADHD with concrete solutions for multiples systems that affect them.
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ACEs – Adverse Childhood Experiences
Adverse Childhood Experiences (ACEs) are defined as situations that lead to an elevated risk of children and young people experiencing damaging impacts on their health and other social outcomes across the life course.
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CAMH Special Issue – ‘Mental Health and the Global Ecological Crisis’
To accompany the CAMH Special Issue on ‘Child and youth mental health & the global ecological crisis’ (January 2022), ACAMH is proud to bring you a series of events, content, and Open Access papers, focusing on the mental health implications of climate change.
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Dr. Gordana Milavić on World Mental Health Day 2021
Dr. Gordana Milavić on World Mental Health Day 2021
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Insufficient sleep might affect children’s emotional health
Data from a new study published in the Journal of Child Psychology and Psychiatry suggest that insufficient sleep can affect emotional health in children. The study, conducted by Candice Alfano and colleagues, assessed the impact of sleep duration on different aspects of emotion in a cohort of 53 children aged 7-11 years old.
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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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