Food Intake Assessment And Anthropometric Characterisation Of Teenage Gymnasts

ANNALS OF MEDICINE(2021)

Cited 0|Views5
No score
Abstract
Introduction Food and nutrition have a critical role in health, sports performance but also in a proper growth a development when we consider young athletes [1,2]. In addition to the increased energy needs, there is a special concern in ensuring adequate intakes of specific micronutrients such as calcium and iron [3]. The aim of the present study was to evaluate the food intake of a group of teenager gymnasts and to compare energy, macronutrient and micronutrient intake with recommendations for this age group.Methods In this observational study, the teenager gymnasts had answered two 24 h dietary recall applied three days apart. The sample included 66 participants 11–17 (14.74 ± 1.79) years old and 26 (39%) were male. Participants were weighted in a 100 g digital sacale (Beurer GS-10) and had their height measured in a stadiometer (SECA213). Body fat had been assessed through skinfold measurement using a INNOVACARE Cescorf through Durnin & Womersley formula which included 5-site measures (bicep, tricep, subscapula, suprailiac and abdominal).Results Results had shown that 15% were overweight and only 3% were obese, 39% of the sample had normal values of body fat. The average energy intake was 1660 ± 621 kcal while the calcium average intake was 652 ± 307 mg, significantly lower than the recommended value (p = .02). The average Iron intake in female athletes was 7.68 ± 2.81 mg, also significantly lower than the recommended (p = .03). In this sample 23 participants (35%) of the young athletes did not had any dairy portion and 47 (72%) did not had any portion of vegetables daily.Conclusions Data of this sample had shown a very low calcium intake in the participants and also a low iron intake in female individuals. Considering the age group, these results reinforce the importance of the nutritionist role in sports specially in young athletes in order to improve not only individual choices but also nutritional knowledge.
More
Translated text
Key words
anthropometric characterisation,food
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined