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Background: Many authors consider running to be a protective physical activity (PA) in bone health. However, many studies also show inconsistencies in their results. The objective of the study is to analyze the effect of cumulative loading rate (TCL) on the bone mass of middle-aged runners and non-runners is assessed., Methods: This cross-sectional study included 322 individuals. There were 212 runners (109 male, 103 female) and those were individuals who did >10 km of running per week. There were 110 non-runners (54 male, 56 female). This group included individuals who did not adhere to the WHO (2020) recommendations for PA. The average age in the individual groups ranged from 40.9±4.1 to 42.3±4.8 years. Bone parameters were measured on the lower extremities and vertebral spine using the DXA method (Hologic QDR Horizon A). Multi-regression dependencies analysis was used to assess the results., Results: The results of the multi-regression dependencies analysis showed that the bone mineral content (BMC) and bone mineral density (BMD) are significantly influenced by the TCL and gender., Conclusions: Therefore, we can conclude that running could be a suitable PA for preventing the reduction of BMD in the middle-aged population, especially in the lower limbs.

Background: Ice hockey includes symmetrical as well as asymmetrical movements. As such, possible difference in mass and strength, as well as performance variables, may be observed between limbs., Methods: We examined the relation between body composition and lower extremity anaerobic power in Czech elite ice hockey players with the inter-limb difference dependence. In total, 168 ice hockey players (age = 20.81, Q1 = 18.24, Q3 = 28.75) underwent body composition measurement and Wingate Anaerobic Test (WAnT). The dominant (D) and non-dominant (ND) leg was established. A Wilcoxon Signed Rank was used. The difference between the dominant and non-dominant lower extremities was evaluated using the dimensionless analysis and by setting the value for the dominant leg at 100%., Results: The difference in muscle mass (MM), fat mass (FM), and WAnT outcome variables (MP, RAP, MP5sP) between the right and left leg was greater than the difference between D and ND leg. Less total body fat mass (TBFM) and more total body muscle mass (TBMM) and lower extremities muscle mass (LEMM) were associated with higher WAnT outcome values. The dimensionless analysis showed a statistically significant correlation between almost all variables., Conclusions: More TBMF and LEMM and less TBFM was better for WAnT. The difference between the right and left leg was greater than the difference between D and ND leg. If there is a difference between MM and FM of lower limbs than there could be difference between the power of lower limbs as well.