Somatotype analysis of physically active individuals.

Autor: Almeida AH; Kineanthropometry Laboratory of Physical Activity and Sports Performance (LACADE) Department of Physical Education Federal University of Pernambuco, Recife, Brazil., Santos SA, Castro PJ, Rizzo JA, Batista GR
Jazyk: angličtina
Zdroj: The Journal of sports medicine and physical fitness [J Sports Med Phys Fitness] 2013 Jun; Vol. 53 (3), pp. 268-73.
Abstrakt: Aim: The present study aimed at comparing demographic variables, physical activity level, and health-related anthropometric indicators according to somatotype among physically active individuals.
Methods: This is a descriptive cross-sectional study, in which the sample consisted of 304 individuals, who are users of the jogging track at the Federal University of Pernambuco (UFPE) in Recife, state of Pernambuco, northeastern Brazil. Somatotypes were analyzed using the anthropometric technique proposed by Heath & Carter (1990). To assess physical activity level, we used the short version of the International Physical Activity Questionnaire (IPAQ). We used as health-related anthropometric indicators: body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), and conicity index (CI). We used descriptive statistics to characterize the sample, and then used a multivariate analysis of variance (a = 0.05) to test for differences.
Results: In the somatotype analysis, we observed among women significant predominance of the endomorphy and lower predominance of the ectomorphy in comparison to men. In the age group ≤ 29 years significantly lower values were found for endomorphy than in other age groups. Irregularly active individuals had significantly lower values of endomorphy. We observed that individuals with obesity and risk in WHR, WC and CI had higher scores of endomorphy and mesomorphy and lower scores of ectomorphy.
Conclusion: The somatotype of physically active individuals in the present study raises health concern, mainly related to high relative adiposity represented by endomorphy.
Databáze: MEDLINE