To determine whether there is an association between parent and sibling obesity status and obesity status in children with autism spectrum disorder (ASD).
We examined predictors of obesity in children with ASD with body mass index data for the proband, 1 sibling, and 2 parents using data from the multisite Simons Simplex Collection.
In a stepwise logistic regression model, proband obesity status was associated with obesity status of the sibling (odds ratio [OR] 2.66; 95% confidence interval [CI], 1.92–3.70), mother (OR 2.10; 95% CI, 1.59–2.77), and father (OR 1.51; 95% CI, 1.15–1.98). Proband obesity was also related to somatic complaints (OR 1.60; 95% CI, 1.006–2.53), mood stabilizers (OR 1.80; 95% CI, 1.19–2.72), internalizing problems (OR 1.60; 95% CI, 1.14–2.30), age (OR 1.01; 95% CI, 1.00–1.01), and some adaptive functioning domains (OR 0.987; 95% CI, 0.977–0.997). Race, ethnicity, income, sex, and maternal education were not significant predictors.
Familial factors were generally the strongest predictors of obesity rather than medication use, demographics, or psychological characteristics. Results support a family-centered approach to treatment of obesity in children with ASD.
*Section of Psychology, Department of Pediatrics, Baylor College of Medicine, Autism Center, Texas Children's Hospital, Houston, TX;
†Division of Neonatology, Department of Pediatrics, McGovern Medical School, Center for Clinical Research and Evidence-Based Medicine, University of Texas Health Science Center at Houston, Houston, TX;
‡Section of Developmental Pediatrics, Department of Pediatrics, Baylor College of Medicine, Houston, TX.
Address for reprints: Jack Dempsey, PhD, Section of Psychology, Department of Pediatrics, Baylor College of Medicine, Autism Center, Texas Children'’s Hospital, 8080 N Stadium Drive Ste. 100, Houston, TX 77054; e-mail: email@example.com.
Funding for this study was provided by the Simons Foundation (SSC-15 to A.G.D. [co-investigator]).
Disclosure: The authors declare no conflict of interest.
See the video abstract at jdbp.org.
Received January , 2017
Accepted June , 2017