Table of Contents
International Scholarly Research Notices
Volume 2014 (2014), Article ID 248402, 9 pages
Research Article

Predictors of Compliance to Gluten-Free Diet in Children with Celiac Disease

1Department of Pediatrics, Sir Padampat Mother and Child Health Institute (J.K. Loan Hospital), SMS Medical College, Jaipur, Rajasthan 302004, India
2Department of Pediatrics, Subharti Institute of Medical Sciences, Meerut, Uttar Pradesh 250004, India

Received 23 March 2014; Revised 10 June 2014; Accepted 18 June 2014; Published 28 August 2014

Academic Editor: Gian V. Zuccotti

Copyright © 2014 Anu Garg and Rajkumar Gupta. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Aim. To identify the predictors of compliance to gluten free diet in children with celiac disease. Methods. 134 children in the study group were assessed for dietary compliance followed by a questionnaire based interview. Psychosocial parameters were assessed by standard Pediatric Symptom Checklist (PSC). Dietary compliant and noncompliant groups were compared and assessed for factors affecting the dietary compliance. Predictability of all of these factors was assessed using binary logistic regression analysis with backward elimination to find out the best predictors of compliance. Results. In the study group, 88 (65.67%) were found to be strictly compliant. Factors that were found to be significantly associated with compliance were age at presentation, nuclear families, mother’s education, and parents having better knowledge of celiac disease. Parents’ and child’s attitude towards his having to follow a restrictive diet and child’s feelings were also shown to be significantly associated with compliance. Binary logistic regression analysis with backward elimination demonstrated that age at presentation, family type, child’s attitude, and child’s behaviour made a significant contribution to prediction. Conclusions. These results will contribute to the current body of research by providing health care practitioners with a framework for better dietary instruction to ensure maximum adherence to GFD.