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J Intellect Disabil Res ; 66(6): 503-516, 2022 06.
Article in English | MEDLINE | ID: covidwho-1702190


BACKGROUND: Although correlates of physical activity (PA) have been extensively examined in both children and adolescents who are typically developing, little is known about correlates of moderate to vigorous physical activity (MVPA) and sedentary time in adolescents with intellectual and developmental disabilities (IDD). Therefore, we examined intrapersonal, interpersonal and environmental factors and their association with device-based MVPA and sedentary time in adolescents with IDD. METHODS: MVPA and sedentary time was assessed using a hip-worn ActiGraph model wGT3x-BT tri-axial accelerometer across a 7-day period in adolescents with IDD and one of their parents. Pearson and point-biserial correlations were calculated to inspect the associations of PA (MVPA, sedentary time) with intrapersonal factors (demographic characteristic, BMI, waist circumference, motor ability, muscle strength, grip strength, cardiovascular fitness and self-efficacy for PA), interpersonal factors (parent demographics, parent BMI, parent MVPA and sedentary time, family social support for PA, parent barriers and support for PA, parent's beliefs/attitudes towards PA and number of siblings), and environmental factors (meteorologic season and COVID-19). Ordinary least squares regression was used to estimate the unique contributions of key factors to PA after controlling for participants' age, sex, race, waist circumference and total wear time. RESULTS: Ninety-two adolescents (15.5 ± 3.0 years old, 21.7% non-White, 6.5% Hispanic, 56.5% female) provided valid accelerometer data. Average sedentary time was 494.6 ± 136.4 min/day and average MVPA was 19.8 ± 24.2 min/day. Age (r = 0.27, P = 0.01), diagnosis of congenital heart disease (r = -0.26, P = 0.01) and parent sedentary time (r = 0.30, P = 0.01) were correlated with sedentary time. BMI (r = -0.24, P = 0.03), waist circumference (r = -0.28, P = 0.01), identifying as White (r = -0.23, P = 0.03) and parent MVPA (r = 0.56, P < 0.001) were correlated with MVPA. After adjusting for the adolescent's age, sex, race, waist circumference, and total wear time, the association between parent and adolescent MVPA remained significant (b = 0.55, P < 0.01, partial η2  = 0.11). CONCLUSION: The results of this study provide evidence that race, waist circumference and parental MVPA may influence the amount of MVPA in adolescents with IDD. The limited available information and the potential health benefits of increased MVPA highlight the need to evaluate the effectiveness of multi-component interventions targeting both intrapersonal and interpersonal levels to promote increased PA in adolescents with IDD.

COVID-19 , Sedentary Behavior , Adolescent , Child , Developmental Disabilities , Exercise/physiology , Female , Humans , Male , Waist Circumference
Obesity ; 29(SUPPL 2):189-190, 2021.
Article in English | EMBASE | ID: covidwho-1616053


Background: Individuals living in rural areas have higher obesity and obesity related co-morbidities than their urban counterparts. Understanding rural-urban differences associated with weight management may inform the development of effective weight management interventions for adults living in rural areas. Methods: The International Weight Control Registry (IWCR) is an online registry designed to assess factors contributing to successes and challenges with weight loss and weight loss maintenance across the world. We examined demographics, weight history and weight management strategies in a sample of urban and rural residents in the Midwestern U.S. (IA, IL, IN, KS, MI, MN, MO, ND, NE, OH, SD, WI). Participants were classified as rural or urban by the Rural-Urban Commuting Area Code. Analyses included Chi-square tests for proportions and independent t-test and Wilcoxon rank sum test for continuous variables. Results: The sample was 45% rural (n = 78 of a total N = 174) with a mean age of 50.3 years. Rural residents were more likely to be white, non-college graduates, and have lower family income compared with urban areas (p < 0.05). Rural and urban residents reported similar weight histories and strategies for weight management. Work-related physical activity was higher and weekday sitting time was lower in rural compared to urban residents (p < 0.01). These data could potentially be impacted by the relative number of residents working from home during COVID-19 (Urban: 59% vs. Rural: 37%, p < 0.05). Rural residents were more likely to report a lack of neighborhood walkability (p < 0.01) and healthy food availability (p < 0.05) compared with urban residents. Conclusions: These data suggest rural-urban differences in demographic characteristics, opportunity for leisure time physical activity, and the availability of heathy foods should be considered in the development of weight management interventions. The consistency of the observed findings will be evaluated at the regional, national and international levels as the size of the available sample in the IWCR increases.