Some highlights from our three journals JCPP, CAMH, and JCPP Advances. Each one of the posts below provides a link to read, and download the full paper.
Feature Papers
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Adolescent sleep, distress, and technology use: weekday versus weekend
Open Access paper from the CAMH journal 2023 Special Issue – Self-reported measures of sleep timing, chronotype (early, neither early nor late, late), technology medium (social media/texting, TV/streaming, and gaming), and psychological distress (DASS-21) were collected from 462 students attending one Australian high school. Alexander Reardon et al.
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Cyberbullying among adolescents in Turkey: the relationship between coping strategies and cyberbullying perpetration
Paper from the CAMH journal 2023 Special Issue – “Cyberbullying is becoming a global threat with the ease of access to the internet”. Eyüp Sabır Erbiçer et al.
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Technology Matters: Increasing access to evidence-based treatment for child anxiety problems: online parent-led CBT for children identified via schools
Open Access paper from the CAMH journal 2023 Special Issue – “Anxiety problems are extremely common and have an early age of onset. We previously found, in a study in England, that fewer than 3% of children with an anxiety disorder identified in the community had accessed an evidence-based treatment (Cognitive Behavioural Therapy; CBT)”. Iheoma Green (pic) et al.
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Review: Can digital mental health interventions bridge the ‘digital divide’ for socioeconomically and digitally marginalised youth? A systematic review
Open Access paper from the CAMH journal 2023 Special Issue – “This review aims to investigate the characteristics, acceptability and efficacy of DMHIs specifically developed for socioeconomically and digitally marginalised youth”. Rowena Piers (pic) et al.
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Associations between emotion recognition and autistic and callous-unemotional traits: differential effects of cueing to the eyes
Open Access paper from the JCPP – We tested whether cueing to the eyes improved emotion recognition in relation to autistic and CU traits in a heterogeneous sample of children enhanced for social, emotional and behavioural difficulties. Virginia Carter Leno et al.
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Annual Research Review: Stability of psychopathology: lessons learned from longitudinal population survey
Open Access paper from the JCPP – “Psychopathology has been long recognized as a fluctuating process with various expressions over time, which can only be properly understood if we follow individuals and their social context from childhood up until adulthood”. Albertine J. Oldehinkel (pic) and Johan Ormel
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Review: Interventions addressing loneliness amongst university students: a systematic review
Open Access paper from the CAMH journal – “Loneliness is detrimental to mental health, with university students at higher risk of feeling lonely than other population groups”. Olivia Betty Ellard et al.
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Schools engaged in doom-monitoring students’ online interactions and content creation: an analysis of dominant media discourses
Paper from the CAMH journal 2023 Special Issue – “Growing public concern about the safety and security of schools has led many schools and school districts within the United States to hire private companies to monitor students’ online interactions and the content they create, including on social media”. Kristjan Kikerpill and Andra Siibak
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Review: Digital experiences and their impact on the lives of adolescents with pre-existing anxiety, depression, eating and nonsuicidal self-injury conditions – a systematic review
Open Access paper from the CAMH journal 2023 Special Issue – “We review publications relating to anxiety, depression, eating disorders and nonsuicidal self-injury to identify common and condition-specific digital experiences and how these may be implicated in the origins and maintenance of these mental health conditions”. Katarzyna Kostyrka-Allchorne (pic) et al.
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Using machine-learning methods to identify early-life predictors of 11-year language outcome
Open Access paper from the JCPP – “This study aims to identify a parsimonious set of preschool indicators that predict language outcomes in late childhood, using data from the population-based Early Language in Victoria Study (n = 839)”. Loretta Gasparini et al.
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