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BackgroundThe prevalence of neurodevelopmental and psychiatric diagnoses (NPDs) in youth is increasing, and unhealthy physical activity (PA), diet, screen time, and sleep habits contribute to the chronic disease disparities and behavioral challenges this population experiences. ObjectiveThis pilot study aims to adapt a proven exergaming and telehealth PA coaching intervention for typically developing youth with overweight or obesity; expand it to address diet, screen, and sleep behaviors; and then test its feasibility and acceptability, including PA engagement, among youth with NPDs. MethodsParticipants (N=23; mean age 15.1 years, SD 1.5; 17 males, 9 people of color) recruited in person from clinic and special education settings were randomized to the Adaptive GameSquad (AGS) intervention or wait-list control. The 10-week adapted intervention included 3 exergaming sessions per week and 6 real-time telehealth coaching sessions. The primary outcomes included feasibility (adherence to planned sessions), engagement (uptake and acceptability as reported on process questionnaires), and PA level (combined light, moderate, and vigorous as measured by accelerometer). Descriptive statistics summarized feasibility and engagement data, whereas paired, two-tailed t tests assessed group differences in pre-post PA. ResultsOf the 6 coaching sessions, AGS participants (n=11; mean age 15.3 years, SD 1.2; 7 males, 4 people of color) completed an average of 5 (83%), averaging 81.2 minutes per week of exergaming. Of 9 participants who completed the exit questionnaire, 6 (67%) reported intention to continue, and 8 (89%) reported feeling that the coaching sessions were helpful. PA and sleep appeared to increase during the course of the intervention over baseline, video game use appeared to decrease, and pre-post intervention PA per day significantly decreased for the control (−58.8 min; P=.04) but not for the intervention group (−5.3 min; P=.77), despite potential seasonality effects. However, beta testers and some intervention participants indicated a need for reduced complexity of technology and more choice in exergames. ConclusionsAGS shows promise in delivering a health behavior intervention remotely to youth with NPDs, but a full-scale efficacy trial with a larger sample size is needed to confirm this finding. On the basis of feedback from beta testers and intervention participants, the next steps should include reduced technology burden and increased exergame choice before efficacy testing. Trial RegistrationClinicalTrials.gov NCT03665415; https://clinicaltrials.gov/ct2/show/NCT03665415.

BackgroundScant data exist on weight loss interventions for youth with intellectual disabilities (ID).ObjectiveTo compare weight loss among youth with ID randomized to a 6-month, family-based behavioural intervention (FBBI) or a waitlist and to compare weight loss among youth who completed a 6-month maintenance (FBBI-M) intervention to a control group (FBBI-C).MethodsYouth with ID and overweight/obesity, aged 14-22 years, were randomized to the FBBI or to a waitlist and subsequently randomized to a maintenance intervention or a control group. Sessions were held weekly during the FBBI and biweekly during the FBBI-M. Using an intention-to-treat approach, we used linear mixed models to test differences in the change in weight and in BMI from the start of FBBI.ResultsThe 24 participants who received the FBBI lost, on average (SE), 5.1 (1.1) kg (P

Youth with intellectual disabilities engage in low levels of physical activity (PA). An aim of this family-based weight-loss behavioral intervention (FBBI) trial was to increase and sustain PA in these youth. Accelerometry data were available from 21 individuals with intellectual disabilities, age 14–22 years. Each completed the 6-month FBBI, after which 10 completed a 6-month maintenance intervention (FBBI-M), and 11 received no further intervention (FBBI-C). Twenty participated in a further 6-month follow-up. Accelerometry data were analyzed using linear mixed models. During FBBI, mean (SE) moderate to vigorous PA increased by 4.1 (2.5) min/day and light PA by 24.2 (13.5) min/day. Mean (SE) difference in moderate to vigorous PA between participants in FBBI-M and FBBI-C at 18 months was 14.0 (5.1) min/day (p =.005); mean (SE) difference in light PA was 47.4 (27.4) min/day (p =.08). Increasing PA through behavioral intervention is possible in youth with intellectual disabilities. [ABSTRACT FROM AUTHOR]

Background: We examined differences in food selectivity by gender and parent race/ethnicity in children with intellectual disabilities. Method: A convenience sample of 56 children with intellectual disabilities was analysed. A modified Youth/Adolescent Food Frequency Questionnaire and a 3-day food record were used to measure child food refusal rate and food repertoire, respectively. Results: Boys were about twice as likely to refuse total foods (rate ratio = 2.34, 95%CI = 1.34-4.09) and fruits (rate ratio = 2.03, 95%CI = 1.04-3.95) and 54% more likely to refuse vegetables (rate ratio = 1.54, 95%CI = 0.93-2.54). Children with Hispanic parents were twice as likely to refuse vegetables compared to children with non-Hispanic White parents (rate ratio = 2.00, 95%CI = 1.03-3.90). In analyses stratified by the presence or absence of co-occurring probable autism spectrum disorder, boys had greater food selectivity than girls. Conclusions: This study expands our understanding of food selectivity in children with intellectual disabilities.

Food selectivity is a common feeding problem among autistic children. The objective of this qualitative study was to explore the impact of selective eating on key social domains--with family, peers, and in other social situations--of transition-age autistic youth who self-identified as being food selective. Interviews were conducted with 20 autistic youth ages 18-23 years. Data were analyzed using descriptive and thematic coding. Participants had developed a range of strategies to cope with their food selectivity, and although some expressed concerns, they did not feel that it had a major impact on social situations. A responsive approach to supporting such youth would likely involve recognizing the effort and skills that the youth have already developed around this issue.

Background: Negative healthcare provider attitudes may contribute to healthcare disparities in adults with intellectual disabilities. This study identified predictors of nurses' attitudes and emotions toward caring for adults with intellectual disabilities in the United States. Method: A convenience sample of 248 nurses was used to collect nurses' attitudes and emotions toward caring for adults with intellectual disabilities (Adapted Caring for Adults with Disabilities Questionnaire) and quality of life beliefs (Prognostic Beliefs Scale). Results: Overall, nurses held less positive attitudes toward caring for an adult with intellectual disability versus a physical disability. Intellectual disability nurses held more positive attitudes and emotions and less negative emotions than non-intellectual disability nurses. Quality of life beliefs predicted nurse attitude, positive emotions and negative emotions. The number of adults with intellectual disabilities cared for during the nurse's career predicted negative emotions. Conclusions: Future interventions should focus on improving nurses' understanding of the quality of life of adults with intellectual disabilities.

A mixed-methods randomized controlled trial pilot study evaluated an educational curriculum focused on the medical needs of transition-age youth (TAY) with autism (ASD) for family nurse practitioner students. Fourteen out of a cohort of 16 (87.5%) nursing students consented to participate in the study and were randomly assigned to either a waitlist control group (WLC) (n = 8) or an intervention group (INT) (n = 6). Three measures were used to determine pre- and post-intervention levels of self-efficacy, knowledge, and attitudes. Quantitative and qualitative data provide preliminary support that participation in intervention may improve and enhance knowledge and level of self-efficacy in working with TAY with ASD.

Few studies have compared atypical sensory characteristics and food selectivity between children with and without autism spectrum disorder (ASD). We compared oral sensory processing between children with (n = 53) and without ASD (n = 58), ages 3-11 years. We also examined the relationships between atypical oral sensory processing, food selectivity, and fruit/vegetable consumption in children with ASD. We found that more children with ASD presented with atypical sensory processing than children without ASD. Among children with ASD, those with atypical oral sensory sensitivity refused more foods and ate fewer vegetables than those with typical oral sensory sensitivity. The findings suggest that efforts to address food selectivity in children with ASD may be enhanced by including strategies that address oral sensory processing.

We compared time spent in moderate and vigorous physical activity (MVPA), type, and frequency of participation in physical activities between adolescents with ASD (n = 35) and typically developing (TD) adolescents (n = 60). Accelerometers measured MVPA and participants were interviewed about engagement in physical activities. Adolescents with ASD spent less time in MVPA compared to TD adolescents (29 min/day vs. 50 min/day, p < 0.001) and fewer met the Physical Activity Guidelines for Americans (14 vs. 29%, p > 0.05). Among adolescents <16 years old, those with ASD participated in fewer activities than TD adolescents (5.3 vs. 7.1 activities, p < 0.03). Walking/hiking and active video gaming were among the top activities for both groups. Findings support the need for interventions that meet the needs of youth with ASD.

Food selectivity is a common problem in children with autism spectrum disorder (ASD) and has an adverse impact on nutrient adequacy and family mealtimes. Despite recent research in this area, few studies have addressed whether food selectivity present in children with ASD persists into adolescence. In this study, we assessed food selectivity in 18 children with ASD at two time points (mean age = 6.8 and 13.2 years), and examined changes in food selectivity. While food refusal improved overall, we did not observe an increase in food repertoire (number of unique foods eaten). These findings support the need for interventions early in childhood to increase variety and promote healthy eating among children with ASD.

Background: The input of youth with intellectual disabilities in health promotion and health disparities research is essential for understanding their needs and preferences. Regular physical activity (PA) is vital for health and well-being, but levels are low in youth generally, including those with intellectual disabilities. Understanding the perceptions of and barriers to PA as reported by youth with intellectual disabilities themselves is important for designing effective interventions. Materials and methods: We developed a structured interview that queried youth with intellectual disabilities and typically developing youth (ages 13-21 years) about their enjoyment, preferences and perceived barriers to PA. We describe the development of this interview and present its test-retest reliability on 15 youth with intellectual disabilities and 20 typically developing youth. Results: Twenty-three of 33 questions were reliable in both groups. The results suggest that youth with intellectual disabilities can reliably report activities that they do or do not enjoy, as well as their beliefs and perceived benefits of PA. Conclusions: Self-reported information on the experiences, preferences, beliefs and perceptions about among youth with intellectual disabilities is key for research efforts in health promotion and health disparities.

Time spent in sedentary behavior is largely due to time spent engaged with electronic screen media. Little is known about the extent to which sedentary behaviors for children with autism spectrum disorder differ from typically developing children. We used parental report to assess and compare time spent in sedentary behaviors for 53 children with autism spectrum disorder and 58 typically developing children aged 3-11 years. We also determined how sedentary behavior was related to child weight status (body mass index z-score). Overall, children with autism spectrum disorder spent an hour more in sedentary behaviors on weekdays compared to typically developing children (5.2 vs 4.2 h, p = 0.03), and most of this difference was due to screen time. The age- and sex-adjusted estimate of weekday total daily screen time was 1.6 h (typically developing) compared to 2.5 h (autism spectrum disorder, p = 0.004 for difference). A significant relationship between BMI z-score and total sedentary behavior time on weekend days was observed among young children with ASD, but not among TD children. The modest association between weekend sedentary behaviour time and BMI z-score among children with ASD suggests that sedentary behaviour is linked to relative weight status in these children. Further research is needed to confirm these findings and identify causal pathways.

Regular physical activity is important for promoting health and well-being; however, physical activity behaviors in children with autism spectrum disorders (ASD) have received little attention. We compared physical activity levels among 53 children with ASD and 58 typically developing children aged 3-11 years who participated in the Children's Activity and Meal Patterns Study (CHAMPS). After adjustment for age and sex the amount of time spent daily in moderate and vigorous activity was similar in children with ASD (50.0 minutes/day and typically developing children 57.1 minutes/day). However, parents reported that children with ASD participated in significantly fewer types of physical activities than did typically developing children (6.9 vs. 9.6, p less than 0.0001) and spent less time annually participating in these activities than typically developing children (158 vs. 225 hours per year, p less than 0.0001) after adjusting for age and sex. Although both groups of children engaged in similar levels of moderate and vigorous activity as measured by accelerometry, children with ASD engaged in fewer physical activities and for less time according to parental report, suggesting that some of the activity in children with ASD is not captured by standard questionnaire-based measures. (Contains 3 tables and 1 figure.)