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Body Composition and Dietary Assessment and Its Relationship with Knowledge of Nutrition in Young Athletes
Author(s) -
Hernandez Alma Nubia Mendoza,
Castillo Maria Jose,
NnuñezGuzman Ada Esmeralda
Publication year - 2017
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.31.1_supplement.795.12
Subject(s) - athletes , medicine , body mass index , physical therapy , muscle mass , zoology , biology
Energy and protein intake is relate to increase the muscle mass (MM), thus this approach prevent the loose of muscle glycogen and to avoid fatigue. A sport‐nutritional knowledge's allows dietary intake with specific recommendations in order to increase the quality of their food choices. The nutritional intake recommendation has to be monitored by sports specialist using validated instruments. Objective To determine the nutritional knowledge in young athletes, the Healthy Eating Index and the relation with body muscle mass in young athletes Method and Materials The dietary intake was obtained by 24‐hours recall the nutriment amount was used US Department of Agriculture database to obtain Healthy Eating Index. Electrical Bioimpedance was used to determinate Fat Mass(FM) and Muscle Mass(MM) kilograms. The Nutritional knowledge was evaluated by a questionnaire of General Knowledge for Adults. Statistical analysis included a paired t test, to determinate the differences between the intake amount and the suggested; and linear regression analysis to determinate the effect of the Strength in the MM. Results 68 athletes were evaluated (39 men and 29 women). The mean of energy, fat, protein and carbohydrates were: 2015.6 kcal/day (±769.5SD), 69.6 gr/day (±33.4SD), 100 gr/day (±38.7SD), 225.4 gr (±88.4SD)respectively. The MM was 35.29% which indicate a normal status. The analysis of HEI shows 61.6% of athletes need diet modifications and 33.3% is healthy. The questionnaire shows that 36% ignore topics about general nutrition knowledge. The protein and lipid intake were lower than the requirement for sports competitors (p=0.85 and p=0.026) Fig 1. MM was entered into the linear regression model as a continuous variable, the Strength‐kg were significant (p<0.05) Fig 2. Conclusion The synthesis of MM was adequate when the body composition was analyzed, thus makes available a poor protein degradation. The nutritional dietary analysis indicates a high lipids deficit. The analysis of HEI shows 61.6% of athletes need diet modifications and 33.3% is healthy.