Citation

Nasri R, Hassen Zrour S, Rebai H, Neffeti F, Najjar MF, Bergaoui N, Mejdoub H, Tabka Z. J. Clin. Densitom. 2013; 18(1): 54-59.

Affiliation

Laboratory of Physiology and Functional Explorations, Faculty of Medicine Ibn El Jazzar of Sousse, University of Sousse, Sousse, Tunisia. Electronic address: raouf.nasri@gmail.com.

Copyright

(Copyright © 2013, International Society for Clinical Densitometry, Publisher Elsevier Publishing)

DOI

10.1016/j.jocd.2013.09.012

PMID

24176431

Abstract

The aim of this study was to determine the impact of combat sports practice on bone mineral density (BMD) and to analyze the relationship between bone parameters and anthropometric measurements, bone markers, and activity index (AI). In other words, to detect the most important determinant of BMD in the adolescent period among combat sports athletes. Fifty athletes engaged in combat sports, mean age 17.1 ± 0.2 yr, were compared with 30 sedentary subjects who were matched for age, height, and pubertal stage. For all subjects, the whole-body BMD, lumbar spine BMD (L2-L4), and BMD in the pelvis, arms, and legs was measured by dual-energy X-ray absorptiometry, and anthropometric measurements were evaluated. Daily calcium intake, bone resorption, and formation markers were measured. BMD measurements were greater in the combat sports athletes than in the sedentary group (p < 0.01). Weight, body mass index, and lean body mass were significantly correlated with BMD in different sites. Daily calcium consumption lower than daily calcium intake recommended in both athletes and sedentary group. AI was strongly correlated with all BMD measurements particularly with the whole body, legs, and arms. Negative correlations were observed between bone markers and BMD in different sites. The common major predictor of BMD measurements was AI (p < 0.0001). AI associated to lean body mass determined whole-body BMD until 74%. AI explained both BMD in arms and L2-L4 at 25%. AI associated to height can account for 63% of the variance in BMD legs. These observations suggested that the best model predicting BMD in different sites among adolescent combat sports athletes was the AI. Children and adolescents should be encouraged to participate in combat sports to maximize their bone accrual.

Language: en