Objectives: Hormonal changes during the postmenopausal period of life predispose women to changes in fat tissue distribution and the risk of insulin resistance, and may lead to deterioration of bone metabolism. Physical activity plays a significant role in improving metabolic health and may inhibit bone mass decrease. The purpose of this study was to analyze the relationships between bone health, body composition, maximal oxygen uptake (VO2max), and carbohydrate metabolic indices in non-diabetic postmenopausal women. Methods: Fifty-seven postmenopausal women were included in the study (64.9 ± 4.8 years). The areal bone mineral density (aBMD) of femoral neck and L1–L4, femur strength index (FSI), total fat (FM), lean body mass (LBM), VO2max, serum insulin, and glucose concentrations were determined. The insulin resistance index (HOMA-IR) was also calculated. The main statistical analyses were performed using hierarchical multiple linear regression models. Results: Body mass index (BMI), FM and LBM positively correlated with aBMD results (p ≤ 0.01) and FM negatively with FSI levels (p < 0.05). VO2max showed a positive association with FSI and this relationship was confirmed in hierarchical multiple regression analysis (p < 0.05). Regression analysis revealed that the base model including age and BMI explained the variance in the femoral neck aBMD (p ≤ 0.01) and L1–L4 aBMD (p ≤ 0.01), respectively. In the case of the femoral neck aBMD model, adjustment for VO2max increased the explained variance. Alternative models with carbohydrate metabolic indicators did not increase the explained variance. Conclusion: Our results suggest that aerobic capacity may be related to the level of femur bone strength. Somatic characteristics and carbohydrate metabolic status appear to play a role in the correlations between femur bone health and VO2max.
Wochna et al. (Fri,) studied this question.