To date, studies using cross-sectional methodologies make up a majority of the literature surrounding children with autism spectrum disorders and participation in physical activity and screen time. Longitudinal studies are needed to examine how physical activity and screen time behaviors co-develop for children with and without an autism spectrum disorder. To address this research gap, this study compared how physical activity and screen time levels changed over time (9 to 18 years of age) between youth with autism spectrum disorder and youth with neurotypical development. Data on the levels of moderate-to-vigorous physical activity, light physical activity, television-, and video game-based screen time, collected as a part of the “Growing up in Ireland” study, were compared between youth with autism spectrum disorder and a propensity-matched sample of youth with neurotypical development ( n = 88 per group; 176 in total). Robust regression analyses indicated that children with autism spectrum disorder became less active over time compared to children with neurotypical development and that video game screen time also differed significantly between the groups when children were 9 years old. These findings elucidate important disparities present between these groups of children during pivotal developmental times. Lay abstract To date, studies using cross-sectional methodologies make up a majority of the literature surrounding children with autism spectrum disorders and participation in physical activity and screen time. Longitudinal studies are needed to examine how physical activity and screen time behaviors co-develop for children with and without an autism spectrum disorder. To address this research gap, this study compared how physical activity and screen time levels changed over time (from 9 to 18 years of age) between youth with autism spectrum disorder and youth with neurotypical development. Data on the levels of moderate-to-vigorous physical activity, light physical activity, television-, and video game-based screen time, collected as a part of the “Growing up in Ireland” study, were compared between youth with autism spectrum disorder and a propensity-matched sample of youth with neurotypical development ( n = 88 per group; 176 in total). Robust regression analyses indicated that children with autism spectrum disorder became less active over time compared to children with neurotypical development and that video game screen time also differed significantly between the groups when children were 9 years old. These findings elucidate important disparities present between these groups of children during pivotal developmental times.
There is increasing recognition of the potential for sibling relationships to promote the well-being of youth in out-of-home care. Efficacious interventions now exist to strengthen the sibling relationships for youth in out-of-home care, yet the processes through which these interventions work to enhance sibling relationships remains largely speculative. The current study therefore aimed to identify the critical components of an efficacious dyadic relationship enhancement intervention for siblings in foster care through a secondary analysis of fidelity of implementation and trial outcome data. Data for 168 youth from the treatment condition of the Supporting Siblings in Foster Care study were analysed. Fidelity of implementation was assessed across seven intervention domains: Sibs 4 Life, Positive/Sib Thinking, Activity Planning, Problem Solving, Cooperation, Managing Feelings and Adult Allies. Trial outcome data were drawn from efficacy test results and included a multi-agent construct of sibling relationship quality. Descriptive statistics detailed intervention implementation, and hierarchical linear models examined associations between intervention coverage, comprehension, and engagement, and 18-month improvements to the sibling relationship. Results indicate high fidelity to implementation, and Positive/ Sib Thinking was the primary intervention domain associated with sibling relationship improvements. Considerations for future mechanisms-based intervention research with siblings in out-of-home care are provided.
In the present study, we investigated the relative impact of age-versus schooling-related growth in school readiness skills using four modeling approaches that leverage natural variation in longitudinal data collected within the preschool year. Our goal was to demonstrate the applicability of different analytic techniques that do not rely on assumptions inherent in commonly applied methods (e.g., the school entrance cutoff method, regression discontinuity design) that selection into subsequent grades is based on birthdate alone and that the quality of experiences between grades are not responsible for differences in outcomes. Notably, these alternative methods also do not require data collected across multiple grades. Participants included 316 children (M age = 54.77 months; 47.15% male) who mostly identified as White (64%) or Latinx (20%). A little over half of the sample attended Head Start preschools (54.75%). Four modeling techniques that leverage data collected at two timepoints in preschool were used to examine schooling effects on children's preliteracy, emergent math, and executive function (EF) skills. Results replicate evidence from previous research using traditional methods. Specifically, findings across all models demonstrate a schooling effect on preliteracy skills during the preschool year, above and beyond maturation, but not on emergent math or EF. We discuss the advantages and disadvantages of each analytical tool for researchers who are interested in answering questions about the effects of schooling with diverse data collection strategies, as well as broader implications for the integrity of educational and developmental science.
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