We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Dietary Patterns in Children with Attention Deficit/Hyperactivity Disorder (ADHD).
- Authors
Hae Dong Woo; Dong Woo Kim; Young-Seoub Hong; Yu-Mi Kim; Ju-Hee Seo; Byeong Moo Choe; Jae Hong Park; Je-Wook Kang; Jae-Ho Yoo; Hee Won Chueh; Jung Hyun Lee; Min Jung Kwak; Jeongseon Kim
- Abstract
The role of diet in the behavior of children has been controversial, but the association of several nutritional factors with childhood behavioral disorders has been continually suggested. We conducted a case-control study to identify dietary patterns associated with attention deficit hyperactivity disorder (ADHD). The study included 192 elementary school students aged seven to 12 years. Three non-consecutive 24-h recall (HR) interviews were employed to assess dietary intake, and 32 predefined food groups were considered in a principal components analysis (PCA). PCA identified four major dietary patterns: the "traditional" pattern, the "seaweed-egg" pattern, the "traditional-healthy" pattern, and the "snack" pattern. The traditional-healthy pattern is characterized by a diet low in fat and high in carbohydrates as well as high intakes of fatty acids and minerals. The multivariate-adjusted odds ratio (OR) of ADHD for the highest tertile of the traditional-healthy pattern in comparison with the lowest tertile was 0.31 (95% CI: 0.12-0.79). The score of the snack pattern was positively associated with the risk of ADHD, but a significant association was observed only in the second tertile. A significant association between ADHD and the dietary pattern score was not found for the other two dietary patterns. In conclusion, the traditional-healthy dietary pattern was associated with lower odds having ADHD.
- Subjects
SOUTH Korea; ACADEMIC medical centers; ATTENTION-deficit hyperactivity disorder; CHILD behavior; CONFIDENCE intervals; DIET; EPIDEMIOLOGY; FACTOR analysis; FOOD habits; INTERVIEWING; MULTIVARIATE analysis; REGRESSION analysis; RESEARCH funding; T-test (Statistics); LOGISTIC regression analysis; DATA analysis; CASE-control method; DATA analysis software; DESCRIPTIVE statistics
- Publication
Nutrients, 2014, Vol 6, Issue 4, p1539
- ISSN
2072-6643
- Publication type
Article
- DOI
10.3390/nu6041539