Comorbidity
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Autism and Co-occurring Conditions: Adapting Psychological Therapies
There remains a significant gap in both research and clinical practice concerning the treatment of co-occurring conditions in autism. Although evidence-based protocols are widely used in mental health care, findings suggest that their effectiveness may be reduced when applied to autistic individuals without modification.
- Event type
- Intermediate level
- Location
- LIVE STREAM
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Treatment of Conduct Disorders: Tailoring Approaches to Different Subtypes and Clinical Presentations
Join Professor Stephen Scott (ACAMH President) for a practical and insightful webinar on the treatment of conduct disorders in children and adolescents. This session will explore how to tailor interventions to different subtypes and clinical presentations, including comorbid ADHD, callous-unemotional traits, irritability, and treatment resistance.
- Event type
- Introductory and Update Session
- Location
- LIVE STREAM
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Laurie Hannigan
Laurie Hannigan is a senior researcher based at the Lovisenberg Diaconal Hospital and the Norwegian Institute of Public Health (NIPH), Oslo, Norway. He completed an undergraduate degree in Psychology at the University of Southampton, in the UK, followed by a master’s in Social, Genetic, and Developmental Psychiatry at King’s College London. He obtained his PhD in Behavior Genetics from King’s in 2018.
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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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How far have we advanced this decade in understanding reading disorders?
Earlier this year, Margaret Snowling and Charles Hulme at the University of Oxford compiled an Annual Research Review for the Journal of Child Psychology and Psychiatry on reading disorders.
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Chronic illness may present barriers to engaging in CBT for depression
Between 10 and 20% of teenagers have a chronic illness:1 an ongoing health condition that lasts at least 3 months, and for which a cure is unlikely. Research suggests that teenagers with chronic illnesses are more likely to also have low mood and develop depression than their healthy peers.2
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Which disorders precede the development of mood disorders in young people?
Mood disorders such as bipolar disorder (BPD) and major depressive disorder (MDD) typically emerge in childhood or adolescence. Now, researchers in Switzerland, the USA and Canada have investigated whether certain other mental health disorders precede the onset of mood disorders
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How effective is medication for ADHD symptoms in children with ASD?
Clinically significant attention-deficit/hyperactivity disorder (ADHD) symptoms are common and impairing in children with autism spectrum disorder (ASD).1 Moreover, ADHD is the most common co-occurring mental health diagnosis driving increased rates of medication use in children with ASD.
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Do ADHD and ASD symptoms have similar characteristics in childhood and young adulthood?
Lucy Riglin and colleagues in the UK have investigated whether ADHD and ASD traits in young adulthood show similar characteristics to those reported in childhood.
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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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