Weight status and associated comorbidities in children and adults with Down syndrome, autism spectrum disorder and intellectual and developmental disabilities

This is the peer reviewed version of the following article: Ptomey, L. T., Walpitage, D. L., Mohseni, M., Dreyer Gillette, M. L., Davis, A. M., Forseth, B., Dean, E. E., and Waitman, L. R. (2020) Weight status and associated comorbidities in children and adults with Down syndrome, autism spectrum disorder and intellectual and developmental disabilities. Journal of Intellectual Disability Research, 64: 725– 737. https://doi.org/10.1111/jir.12767, which has been published in final form at https://doi.org/10.1111/jir.12767. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.Background Little is known about body weight status and the association between body weight and common comorbidities in children and adults with Down syndrome (DS), autism spectrum disorder (ASD) and other intellectual and developmental disabilities (IDDs). Methods Data were extracted from the University of Kansas Medical Center's Healthcare Enterprise Repository for Ontological Narration clinical integrated data repository. Measures included demographics (sex, age and race), disability diagnosis, comorbid health conditions, height, weight and body mass index percentiles (BMI%ile; <18 years of age) or BMI (≥18 years of age). Results Four hundred and sixty-eight individuals with DS (122 children and 346 adults), 1659 individuals with ASD (1073 children and 585 adults) and 604 individuals with other IDDs (152 children and 452 adults) were identified. A total of 47.0% (DS), 41.9% (ASD) and 33.5% (IDD) of children had overweight/obese (OW/OB), respectively. Children with DS were more likely to have OW/OB compared with children with IDD or ASD [odds ratio (OR) = 1.91, 95% confidence interval (CI): (1.49, 2.46); OR = 1.43, 95% CI: (1.19, 1.72)], respectively. A total of 81.1% (DS), 62.1% (ASD), and 62.4% (IDD) of adults were OW/OB, respectively. Adults with DS were more likely to have OW/OB compared with those with IDD [OR = 2.56, 95% CI: (2.16, 3.02)]. No significant differences were observed by race. In children with ASD, higher OW/OB was associated with significantly higher (compared with non-OW/OB) occurrence of sleep apnoea [OR = 2.94, 95% CI: (2.22, 3.89)], hypothyroidism [OR = 3.14, 95% CI: (2.17, 4.25)] and hypertension [OR = 4.11, 95% CI: (3.05, 5.54)]. In adults with DS, OW/OB was significantly associated with higher risk of sleep apnoea and type 2 diabetes [OR = 2.93, 95% CI: (2.10, 4.09); OR = 1.76, 95% CI: (1.11, 2.79) respectively]. Similarly, in adults with ASD and IDD, OW/OB was significantly associated with higher risk of sleep apnoea [OR = 3.39, 95% CI: (2.37, 4.85) and OR = 6.69, 95% CI: (4.43, 10.10)], type 2 diabetes [OR = 2.25, 95 % CI: (1.68, 3.01) and OR = 5.49, 95% CI: (3.96, 7.61)] and hypertension [OR = 3.55, 95% CI: (2.76, 4.57) and 3.97, 95% CI: (3.17, 4.97)]. Conclusion Findings suggest higher rates of OW/OB in individuals with DS compared with ASD and IDD. Given the increased risk of comorbidities associated with the increased risk of OW/OB, identification of effective interventions for this special population of individuals is critical

Weight management for individuals with intellectual and developmental disabilities: Rationale and design for an 18 month randomized trial

Weight management for individuals with intellectual and developmental disabilities (IDD) has received limited attention. Studies on weight management in this population have been conducted over short time frames, in small samples with inadequate statistical power, infrequently used a randomized design, and have not evaluated the use of emerging effective dietary strategies such as pre-packaged meals (PMs). Low energy/fat PMs may be useful in individuals with IDD as they simplify meal planning, limit undesirable food choices, teach appropriate portion sizes, are convenient and easy to prepare, and when combined with fruits and vegetables provide a high volume, low energy dense meal. A randomized effectiveness trial will be conducted in 150 overweight/obese adults with mild to moderate IDD, and their study partners to compare weight loss (6 months) and weight maintenance (12 months) between 2 weight management approaches: 1. A Stop Light Diet enhanced with reduced energy/fat PMs (eSLD); and 2. A recommended care reduced energy/fat meal plan diet (RC). The primary aim is to compare weight loss (0–6 months) and weight maintenance (7–18 months) between the eSLD and RC diets. Secondarily, changes in chronic disease risk factors between the eSLD and RC diets including blood pressure, glucose, insulin, LDL-cholesterol, and HDL-cholesterol will be compared during both weight loss and weight maintenance. Finally, potential mediators of weight loss including energy intake, physical activity, data recording, adherence to the diet, study partner self-efficacy and daily stress related to dietary change will be explored

Dietary Intake and Physical Activity Assessment: Current Tools, Techniques, and Technologies for Use in Adult Populations

Accurate assessment of dietary intake and physical activity is a vital component for quality research in public health, nutrition, and exercise science. However, accurate and consistent methodology for the assessment of these components remains a major challenge. Classic methods use self-report to capture dietary intake and physical activity in healthy adult populations. However, these tools, such as questionnaires or food and activity records and recalls, have been shown to underestimate energy intake and expenditure as compared with direct measures like doubly labeled water. This paper summarizes recent technological advancements, such as remote sensing devices, digital photography, and multisensor devices, which have the potential to improve the assessment of dietary intake and physical activity in free-living adults. This review will provide researchers with emerging evidence in support of these technologies, as well as a quick reference for selecting the right-sized assessment method based on study design, target population, outcome variables of interest, and economic and time considerations

Weight Management in Primary Care for Children With Autism: Expert Recommendations.

Research suggests that the prevalence of obesity in children with autism spectrum disorder (ASD) is higher than in typically developing children. The US Preventive Services Task Force and the American Academy of Pediatrics (AAP) have endorsed screening children for overweight and obesity as part of the standard of care for physicians. However, the pediatric provider community has been inadequately prepared to address this issue in children with ASD. The Healthy Weight Research Network, a national research network of pediatric obesity and autism experts funded by the US Health Resources and Service Administration Maternal and Child Health Bureau, developed recommendations for managing overweight and obesity in children with ASD, which include adaptations to the AAP\u27s 2007 guidance. These recommendations were developed from extant scientific evidence in children with ASD, and when evidence was unavailable, consensus was established on the basis of clinical experience. It should be noted that these recommendations do not reflect official AAP policy. Many of the AAP recommendations remain appropriate for primary care practitioners to implement with their patients with ASD; however, the significant challenges experienced by this population in both dietary and physical activity domains, as well as the stress experienced by their families, require adaptations and modifications for both preventive and intervention efforts. These recommendations can assist pediatric providers in providing tailored guidance on weight management to children with ASD and their families