Oana de Vinck-Baroody1, Amy Shui2, Eric A Macklin3, Susan L Hyman4, John M Leventhal5, Carol Weitzman5. 1. Yale School of Medicine, Developmental Behavioral Pediatrics, New Haven, Conn. Electronic address: Odevinck-baroody@HackensackUMC.org. 2. Biostatistics Center, Massachusetts General Hospital, Biostatistics Center, Boston, Mass. 3. Biostatistics Center, Massachusetts General Hospital, Biostatistics Center, Boston, Mass; Harvard Medical School, Boston, Mass. 4. Developmental Behavioral Pediatrics, University of Rochester, NY. 5. Yale School of Medicine, Developmental Behavioral Pediatrics, New Haven, Conn.
Abstract
OBJECTIVE: To determine the prevalence of overweight/obese status in children with autism spectrum disorders (ASD), identify associated characteristics, and develop a model to predict weight status. METHODS: The prevalence of overweight and obesity was determined in 2769 children with ASD enrolled in the Autism Speaks Autism Treatment Network, a collaboration of 17 academic centers, and compared with a national sample matched for age, sex, and race. Associations in the ASD sample between weight status and demographic and clinical variables, such as age, race, head circumference, and adaptive functioning, were tested using ordinal logistic regression. The accuracy of a final model that predicted weight status based on early life variables was evaluated in a validation sample. RESULTS: The prevalence of overweight and obesity were 33.9% and 18.2%, respectively; ASD was associated with a higher risk of obesity (but not overweight) relative to the national sample (odds ratio [OR], 1.16; 95% confidence interval [CI], 1.05-1.28; P = .003). In the adjusted analysis, overweight/obese status was significantly associated with Hispanic ethnicity (OR, 1.99; 95% CI, 1.37-2.89), parental high school education (OR, 1.56; 95% CI, 1.09-2.21), high birth weight (OR, 1.56; 95% CI, 1.11-2.18), macrocephaly (OR, 4.01; 95% CI, 2.96-5.43), and increased somatic symptoms (OR, 1.41; 95% CI, 1.01-1.95). A prediction model designed to have high sensitivity predicted low risk of overweight/obesity accurately, but had low positive predictive value. CONCLUSIONS: The prevalence of obesity in children with ASD was greater than a national sample. Independent associations with increased weight status included known risk factors and macrocephaly and increased level of somatic symptoms. A model based on early life variables accurately predicted low risk of overweight/obesity.
OBJECTIVE: To determine the prevalence of overweight/obese status in children with autism spectrum disorders (ASD), identify associated characteristics, and develop a model to predict weight status. METHODS: The prevalence of overweight and obesity was determined in 2769 children with ASD enrolled in the Autism Speaks Autism Treatment Network, a collaboration of 17 academic centers, and compared with a national sample matched for age, sex, and race. Associations in the ASD sample between weight status and demographic and clinical variables, such as age, race, head circumference, and adaptive functioning, were tested using ordinal logistic regression. The accuracy of a final model that predicted weight status based on early life variables was evaluated in a validation sample. RESULTS: The prevalence of overweight and obesity were 33.9% and 18.2%, respectively; ASD was associated with a higher risk of obesity (but not overweight) relative to the national sample (odds ratio [OR], 1.16; 95% confidence interval [CI], 1.05-1.28; P = .003). In the adjusted analysis, overweight/obese status was significantly associated with Hispanic ethnicity (OR, 1.99; 95% CI, 1.37-2.89), parental high school education (OR, 1.56; 95% CI, 1.09-2.21), high birth weight (OR, 1.56; 95% CI, 1.11-2.18), macrocephaly (OR, 4.01; 95% CI, 2.96-5.43), and increased somatic symptoms (OR, 1.41; 95% CI, 1.01-1.95). A prediction model designed to have high sensitivity predicted low risk of overweight/obesity accurately, but had low positive predictive value. CONCLUSIONS: The prevalence of obesity in children with ASD was greater than a national sample. Independent associations with increased weight status included known risk factors and macrocephaly and increased level of somatic symptoms. A model based on early life variables accurately predicted low risk of overweight/obesity.
Authors: Aviva Must; Misha Eliasziw; Sarah M Phillips; Carol Curtin; Tanja V E Kral; Mary Segal; Nancy E Sherwood; Linmarie Sikich; Heidi I Stanish; Linda G Bandini Journal: Child Obes Date: 2016-10-05 Impact factor: 2.992
Authors: Susan E Levy; Jennifer A Pinto-Martin; Chyrise B Bradley; Jesse Chittams; Susan L Johnson; Juhi Pandey; Alison Pomykacz; AnnJosette Ramirez; Ann Reynolds; Eric Rubenstein; Laura A Schieve; Stuart K Shapira; Aleda Thompson; Lisa Young; Tanja V E Kral Journal: J Pediatr Date: 2018-10-09 Impact factor: 4.406
Authors: Kristen K Criado; William G Sharp; Courtney E McCracken; Oana De Vinck-Baroody; Liansai Dong; Michael G Aman; Christopher J McDougle; James T McCracken; L Eugene Arnold; Carol Weitzman; John M Leventhal; Benedetto Vitiello; Lawrence Scahill Journal: Autism Date: 2017-03-22
Authors: Sarah A Keim; Abigail Jude; Katie Smith; Aiman Q Khan; Daniel L Coury; Joseph Rausch; Shivika Udaipuria; Megan Norris; Lindsay R Bartram; Anita R Narayanan; Lynette K Rogers Journal: J Autism Dev Disord Date: 2022-01-11