The moderating role of social media motives in the relationship between screen usage and cybervictimization.

Background: Screen time is on the rise among youth, and as a result, cyberbullying victimization has become increasingly prevalent. While prior research has established a positive correlation between screen usage and cyberbullying victimization, a paucity of research has explored how motives for screen usage are associated with cyberbullying victimization and moderate the positive association between screen usage and cyberbullying victimization.

Objective: The present study sought to address these research gaps by exploring the association between motives for screen usage and cyberbullying victimization and examining whether these motives moderate the association between screen time and cyberbullying.

Does ruminating about the previous night's drinking during a hangover predict changes in heavy episodic drinking? A two-wave, 30-day prospective study.

Objective: We examined whether hangover-related rumination-repeatedly dwelling on negative aspects of yesterday's drinking while hungover the following morning-predicts changes in three dimensions of heavy episodic drinking (HED) over time.

Method: = 334 emerging adults (aged 19-29) from three Eastern Canadian universities who had recently experienced a hangover completed online self-report questionnaires at baseline (Wave 1) and 30 days later (Wave 2; 71.6% retention).

Expressive Writing About One's Trauma Increases Accessibility of Cannabis Information in Memory Among Trauma-Exposed Individuals.

Objective: Trauma survivors are more likely than others to use cannabis, and post-traumatic stress disorder (PTSD) commonly co-occurs with cannabis use disorder (CUD). Automatic memory associations between trauma reminders and cannabis use have been suggested as contributing mechanisms. These associations can be studied experimentally by manipulating trauma cue exposure in a cue-reactivity paradigm (CRP) and examining effects on the accessibility of cannabis information in memory in trauma survivors with and without PTSD.

Prediction of Neurodevelopmental Outcomes in Very Preterm Infants: Comparing Machine Learning Methods to Logistic Regression.

Purpose: Is machine learning (ML) superior to the traditionally used logistic regression (LR) in prediction of neurodevelopmental outcomes in preterm infants?

Objectives: To develop and internally validate a ML model to predict neurodevelopmental impairment (NDI) in very preterm infants (<31 weeks) at 36 months corrected age, using clinical predictors.

Methods: A retrospective cohort of very preterm infants (2330 weeks) born between January 2004 and December 2016 in Nova Scotia, Canada. Survivors with neurodevelopmental assessment at 36 months corrected age were included.

School Closures on Bullying Experiences of Treatment-Seeking Children and Youth: The Influence of the COVID-19 Pandemic Within Ontario, Canada.

Amongst school-aged children and youth, bullying is a significant problem warranting further investigation. The current study sought to investigate the influence of the COVID-19 pandemic waves and school closures on the bullying experiences of 22,012 children aged 4-18-years-old who were referred and assessed at mental health agencies in Ontario, Canada. Individual, familial, and mental health variables related to bullying experiences were also investigated.