Open Access. Powered by Scholars. Published by Universities.®
- Keyword
Articles 1 - 2 of 2
Full-Text Articles in Psychiatry and Psychology
A Predictable Home Environment May Protect Child Mental Health During The Covid-19 Pandemic, Laura M. Glynn, Elyssia Poggi Davis, Joan L. Luby, Tallie Z. Baram, Curt A. Sandman
A Predictable Home Environment May Protect Child Mental Health During The Covid-19 Pandemic, Laura M. Glynn, Elyssia Poggi Davis, Joan L. Luby, Tallie Z. Baram, Curt A. Sandman
Psychology Faculty Articles and Research
Objective
Information about the adverse effects of the COVID-19 pandemic on adolescent and adult mental health is growing, yet the impacts on preschool children are only emerging. Importantly, environmental factors that augment or protect from the multidimensional and stressful influences of the pandemic on emotional development of young children are poorly understood.
Methods
Depressive symptoms in 169 preschool children (mean age 4.1 years) were assessed with the Preschool Feelings Checklist during a state-wide stay-at-home order in Southern California. Mothers (46% Latinx) also reported on externalizing behaviors with the Strengths & Difficulties Questionnaire. To assess the role of environmental factors in …
A Markov Approach For Increasing Precision In The Assessment Of Data-Intensive Behavioral Interventions, Vincent Berardi, Ricardo Carretero-González, John Belletierre, Marc A. Adams, Suzanne C. Hughes, Melbourne Hovell
A Markov Approach For Increasing Precision In The Assessment Of Data-Intensive Behavioral Interventions, Vincent Berardi, Ricardo Carretero-González, John Belletierre, Marc A. Adams, Suzanne C. Hughes, Melbourne Hovell
Psychology Faculty Articles and Research
Health interventions using real-time sensing technology are characterized by intensive longitudinal data, which has the potential to enable nuanced evaluations of individuals’ responses to treatment. Existing analytic tools were not developed to capitalize on this opportunity as they typically focus on first-order findings such as changes in the level and/or slope of outcome variables over different intervention phases. This paper introduces an exploratory, Markov-based empirical transition method that offers a more comprehensive assessment of behavioral responses when intensive longitudinal data are available. The procedure projects a univariate time-series into discrete states and empirically determines the probability of transitioning from one …