Relationships Between Muscular Power and Bone Health Parameters in a Group of Young Lebanese Adults

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Abstract

The aim of the current study was to explore the relationships between lower limb muscular power and bone variables (bone mineral content (BMC), bone mineral density (BMD), hip geometry indices and trabecular bone score (TBS)) in a group of young Lebanese adults. 29 young Lebanese men and 31 young Lebanese women whose ages range between 18 and 32 years participated in this study. Body weight and height were measured, and body mass index (BMI) was calculated. Body composition and bone variables were measured by DXA. DXA measurements were completed for the whole body (WB), lumbar spine (L2–L4), total hip (TH) and femoral neck (FN). Hip geometry parameters including cross-sectional area (CSA), cross-sectional moment of inertia (CSMI), section modulus (Z), strength index (SI) and buckling ratio (BR) were derived by DXA. Trabecular bone score was also derived by DXA. Horizontal jump (HJ), vertical jump, vertical jump maximum power, force-velocity maximum power and 20-m sprint performance were measured or calculated by using validated fitness tests. In men, fat mass percentage was negatively correlated to TH BMD, FN BMD, CSA, CSMI, Z and SI. In women, weight, BMI, lean mass and fat mass were positively correlated to WB BMC, CSMI and Z. Regarding physical performance variables, horizontal jump performance and force-velocity maximal power were positively correlated to TH BMD, FN BMD, CSA and Z in men. Vertical jump maximal power was positively correlated to WB BMC in women. 20-m sprint performance was negatively correlated to FN BMD, CSA, Z and SI in men. In conclusion, the current study suggests that force-velocity maximum power is a positive determinant of BMD and hip geometry indices in men but not in women.

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APA

Sabbagh, P., Kamlé, P., Pinti, A., Farah, G., Saddick, H., Zakhem, E., … El Hage, R. (2020). Relationships Between Muscular Power and Bone Health Parameters in a Group of Young Lebanese Adults. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12108 LNBI, pp. 119–129). Springer. https://doi.org/10.1007/978-3-030-45385-5_11

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