This study gathered formative data on barriers to optimal child sleep to inform the development of a sleep intervention for parents of preschool-aged children in low-income households. Parents ( = 15, age: 34 ± 8 years, household income: $30,000 ± 17,845/year) reporting difficulties with their child's sleep participated in this study. Mixed methods included an online survey and semi-structured phone interview.
View Article and Find Full Text PDFAnn Epidemiol
August 2022
Purpose: This study evaluated the stability over time of prevalence estimates of mental disorders among school-aged children from the same community.
Methods: We compared screening status and weighted prevalence of selected mental disorders from the two-stage school-based South Carolina Project to Learn About Youth-Mental Health (Time 1) and its replication study (Time 2) conducted between 2014 and 2017. During stage 1, two teacher screeners were used to group students into high or low risk for a mental disorder.
This study illustrated the effect of varying the number of response alternatives in clinical assessment using a within-participant, repeated-measures approach. Participants reported the presence of current attention-deficit/hyperactivity disorder symptoms using both a binary and a polytomous (4-point) rating scale across two counterbalanced administrations of the Current Symptoms Scale (CSS). Psychometric properties of the CSS were examined using (a) self-reported binary, (b) self-reported 4-point ratings obtained from each administration of the CSS, and (c) artificially dichotomized responses derived from observed 4-point ratings.
View Article and Find Full Text PDFPrevious studies examining the factor structure of attention-deficit/hyperactivity disorder (ADHD) symptoms in adults using self-report measures have shown mixed results, supporting two-, three-, and bifactor solutions. The current study further investigated the structure of ADHD symptoms in adults using the Current Symptoms Scale and rigorous model evaluation in a sample of 892 college students. Confirmatory factor analysis was used to analyze and compare five-factor structures; a single-factor model, a two-factor model, a three-factor model, and two bifactor models.
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