Harmonizing data on correlates of sleep in children within and across neurodevelopmental disorders: lessons learned from an Ontario Brain Institute cross-program collaboration.

There is an increasing desire to study neurodevelopmental disorders (NDDs) together to understand commonalities to develop generic health promotion strategies and improve clinical treatment. Common data elements (CDEs) collected across studies involving children with NDDs afford an opportunity to answer clinically meaningful questions. We undertook a retrospective, secondary analysis of data pertaining to sleep in children with different NDDs collected through various research studies.

Implementation of a Clinical, Patient-Level Dashboard at a Mental Health Hospital: Lessons Learned from Two Pilot Clinics.

The Centre for Addiction and Mental Health has implemented mechanisms to standardize routine data collection with the vision of a Learning Health System. To improve clinical decision-making and patient outcomes, a clinical dashboard was implemented to provide a real-time visualization of data from patient self-assessments and other physical and mental health indicators. This case report shares early findings of dashboard implementation to understand user uptake and improve fidelity of the technology and processes that need to support adoption.

A holistic approach to integrating patient, family, and lived experience voices in the development of the BrainHealth Databank: a digital learning health system to enable artificial intelligence in the clinic.

Artificial intelligence, machine learning, and digital health innovations have tremendous potential to advance patient-centred, data-driven mental healthcare. To enable the clinical application of such innovations, the Krembil Centre for Neuroinformatics at the Centre for Addiction and Mental Health, Canada's largest mental health hospital, embarked on a journey to co-create a digital learning health system called the BrainHealth Databank (BHDB). Working with clinicians, scientists, and administrators alongside patients, families, and persons with lived experience (PFLE), this hospital-wide team has adopted a systems approach that integrates clinical and research data and practices to improve care and accelerate research.

Sleep Duration Is Associated with Academic Achievement of Adolescent Girls in Mathematics.

Purpose: To examine the associations between objective measures of sleep during the school week and academic achievement in mathematics and languages in typically developing adolescent girls.

Methods: Eighty adolescent girls aged 12-17 years (M=14.74, SD=1.

Using Parental Report to Identify Children at Risk for Poor Sleep and Daytime Problems.

Objective: To examine objective sleep patterns and the daytime behavioral, emotional and academic functioning of school-age children above and below the clinical cutoff score for the Child Sleep Habits Questionnaire (CSHQ), which is a parental-report-based measure of sleep disturbances.

Participants: 48 boys and 74 girls aged 7-11 years.

Methods: Participants' sleep was assessed in their home environment using a miniature actigraph (AW-64 series; Mini-Mitter, Sunriver, OR, USA) for five consecutive weeknights.

Cumulative mild partial sleep deprivation negatively impacts working memory capacity but not sustained attention, response inhibition, or decision making: a randomized controlled trial.

Background: Twenty-eight per cent (28%) of adults sleep at least 1 hour less than they consider optimal, yet the effects of such cumulative mild partial sleep deprivation on cognitive functions are unknown. The objective of this study was to examine how cumulative mild partial sleep deprivation over 6 nights can impact working memory, sustained attention, response inhibition, and decision making.

Methods: A double-blind placebo-controlled randomized study was conducted to determine the impact of sleep restriction (elimination of 1 hour of sleep relative to the baseline habitual sleep duration) vs placebo (exposure to a lamp with no known therapeutic effect) on cognitive performance.

Association between the Munich Chronotype Questionnaire and Wrist Actigraphy.

Chronotype refers to individuals' preferences for timing of sleep and wakefulness. It can be quantified by measuring the midpoint time between the start and end of sleep during free days. Measuring chronotype is helpful to diagnose circadian rhythm sleep-wake disorders.

An actigraphic study of the sleep patterns of younger and older school-age children.

Objective: Sleep is viewed as being relatively consistent across the school-age period (6-13 years of age), however this claim has not been empirically supported. The objective of this study was to document the duration, schedule, variability, and week versus weekend discrepancies of sleep in three distinct age groups within the school-age period.

Methods: Participants were divided by age: Cycle 1, 6 and 7 years; Cycle 2, 8 and 9 years; and Cycle 3, 10 and 11 years.