The ketogenic diet can be effective in children who suffer from drug-resistant epilepsy. However, it is still hard to predict how large an effect this diet will have for an individual child. Previous data suggests a high-fat food preference is more likely in those with epilepsy, as assessed by in-person forced-choice design. The aim of this study is to examine whether a partiality to fatty foods prior to commencing the ketogenic diet can be used as a predictive factor for the efficacy of this diet in children with drug-resistant epilepsy. Data from 43 children aged between 2 and 19 years was used in this retrospective, non-controlled, non-randomised, open study. All children had followed the ketogenic diet for a period of 3 months or more. Before commencing the diet, a food record was collected for each child to determine the percentage of daily energy-intake accounted for by fats. Parents of the participants completed a questionnaire to measure fat-preference in the pre-diet period and received a score to objectify the efficacy of the treatment. The raw scores on the food record and on the questionnaire were divided into subgroups. Subsequently Kendall's tau-b was calculated for the correlation between each combination of variables. A non-significant correlation was found for the relationship between the food record and the questionnaire (p=.939), the relationship between the food record and the efficacy of the treatment (p=.827) and the relationship between the questionnaire and the efficacy of the treatment (p=.539). This means treatment efficacy cannot be predicted by the child's food preference.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.