@ARTICLE{Salehikia, author = {Nazem, Farzad and Salehikia, Abbas and Marandi, Seyyed Mohammad and Sahdadi, Ahmad and }, title = {Impact of a 12 week resistance and concurrent training on bone mechanical strength and mineral density of osteoporotic male Wistar rats}, volume = {20}, number = {2}, abstract ={Background: This study evaluated the efficacy of concurrent training compared to resistance training on femoral bone mineral density (BMD) and mechanical strength of osteoporotic male rats. Materials and Methods: Eight out of 40 male Wistar rats were separated as healthy subjects. Then osteoporosis was induced in the remaining rats by the injection of ethanol (20%, i.p) for 3 weeks. Osteoporotic rats divided into 4 groups: Baseline, Resistance training, Concurrent training and Control. The resistance training protocol consisted of 8 series of climbs on a 110-cm vertical ladder angled at 80º with weights tied to the animal tail. The overload for first and eighth series was set at 50% and 100% of the total body mass of the animal, respectively. Concurrent group completed a combination of both resistance and endurance treadmill trainings (60 min/day, speed: 12 m/min). The left excised femur of the animals were scanned for BMD measurement and examined by three point bending test to obtain the maximum force and stiffness. Result: Two Resistance training and Concurrent training groups had significantly increased maximum force, stiffness and BMD compared to Control group (P=0.019). Compared to resistance group, the Concurrent group showed a positive effect on bone mechanical strength (P=0.039) with no significance difference in BMD (P=0.890). Conclusion: The results of this study shows that the combination of resistance and endurance exercise may have a synergistic effect on increasing the mechanical strength of osteoporotic femoral bone in male rats compared to resistance training alone. }, URL = {http://feyz.kaums.ac.ir/article-1-3040-en.html}, eprint = {http://feyz.kaums.ac.ir/article-1-3040-en.pdf}, journal = {Feyz Medical Sciences Journal}, doi = {}, year = {2016} }