English
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Developmental and Behavioral Pediatrics

Associations Between Family Member BMI and Obesity Status of Children with Autism Spectrum Disorder.

Only registered users can translate articles
Log In/Sign up
The link is saved to the clipboard
Jack Dempsey
Allison G Dempsey
Robert G Voigt
Sonia Monteiro

Keywords

Abstract

OBJECTIVE

To determine whether there is an association between parent and sibling obesity status and obesity status in children with autism spectrum disorder (ASD).

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

Join our facebook page

The most complete medicinal herbs database backed by science

  • Works in 55 languages
  • Herbal cures backed by science
  • Herbs recognition by image
  • Interactive GPS map - tag herbs on location (coming soon)
  • Read scientific publications related to your search
  • Search medicinal herbs by their effects
  • Organize your interests and stay up do date with the news research, clinical trials and patents

Type a symptom or a disease and read about herbs that might help, type a herb and see diseases and symptoms it is used against.
*All information is based on published scientific research

Google Play badgeApp Store badge