Comparative assessment of the dietary and kinesiological recommendations with and without genetic profiling data mining

Objectives: Our work aimed to compare two strategic approaches in defining efficient personal dietary and physical activity plans based on available data. Methods: Energy imbalance between calories consumed and calories expended is the elementary cause of obesity and overweight and can be addressed with population based guidelines and recommendations for personalized dietary and physical activity plan methodologies. Two independent professionals in nutrition and physical coaching made a parallel set of personal plans for 15 participants who voluntarily asked for their dietary and physical activity plan. One professional used physical measurement and self-reported data while the second used genetic profiling data in addition. Main differences were observed in more specific plans for dietary restrictions in calorie type intake and type of endurance training that was feasible only when genetic data were taken into account.  Results: Out of 15 participants, 9 of them were into the category of obese or overweight. 46,7 % of them did not have any specific dietary regime, 73,33 % hade sedentary job while 53,3 % of them had regular physical activities 2 or 3 times per week. Discussion: Compared to the parameter "frequency of exercise" (using Interrater kappa agreement test), the value of the kappa parameter of -0.15 was obtained, which indicates a negative match between the two tested methods. Conclusions: Our study implies that informed and guided use of widely accessible genetic profiling and its standardized use could significantly contribute to the specificity of personalized dietary and physical activity plans.