Publications by authors named "P Sherlock"
Early adversity increases risk for child mental health difficulties. Stressors in the home environment (e.g.
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- - National health policies during the COVID-19 pandemic led to school closures in the U.S., disrupting learning for many students in Spring 2020.
- - A study analyzed data from 282 children aged 5-12, finding that those with more than 4 weeks of learning disruption scored significantly lower in math assessments compared to those with fewer disruptions.
- - The findings highlight the need for educators to prioritize math support for students who faced prolonged learning interruptions, especially those impacted by their caregivers' pandemic-related stress and educational background.
While attention dysregulation is a promising early indicator of neurodevelopmental risk, in particular attention-deficit/hyperactivity disorder (ADHD), it is difficult to characterize clinical concern due to its developmental expectability at the transition to toddlerhood. Thus, explicating the typical:atypical continuum of risk indicators is among the key future directions for research to promote early identification and intervention, and prevent decrements in the attainment of developmental milestones into early childhood. In this paper, we present the Multidimensional Assessment Profiles-Attention Regulation Infant-Toddler (MAPS-AR-IT) Scale, a novel parent-report survey of dimensional, developmentally specified indicators of attention (dys)regulation.
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- Researchers developed the Pandemic-Related Traumatic Stress Scale (PTSS) to measure the mental health effects of the COVID-19 pandemic on adolescents and adults, along with caregiver reports for younger children.
- The study analyzed data from over 18,000 participants, assessing the PTSS's reliability and its relationships with factors like depression and anxiety.
- Results showed that adult caregivers reported the highest stress levels, with variations based on age, gender, and the age of children being cared for.
Background: This study aimed to identify contextual factors associated with life satisfaction during the COVID-19 pandemic for adolescents with mental, emotional, behavioral, and developmental (MEBD) disabilities.
Methods: Data were collected from a sample of 1084 adolescents aged 11-21 years from April 2020 to August 2021. This cross-sectional study used a sequential machine learning workflow, consisting of random forest regression and evolutionary tree regression, to identify subgroups of adolescents in the Environmental influences on Child Health Outcomes (ECHO) consortium who demonstrated enhanced vulnerability to lower life satisfaction as described by intersecting risk factors, protective factors, and MEBD disabilities.