| Objective To explore the common factors affecting bone mineral density (BMD) and skeletal muscle mass in postmenopausal women based on the analysis of body composition measured using dual energy X-ray absorptiometry, so as to provide ideas for the coordinated prevention and treatment of postmenopausal osteoporosis and sarcopenia. Methods A total of 171 postmenopausal women who underwent body composition analysis in the First Affiliated Hospital of Sun Yat-sen University from January 2015 to October 2020 were included in this study. According to the whole body BMD and relative skeletal muscle index (RSMI), they were divided into normal group (T-score≥–1 and RSMI>5.45 kg/m2), low muscle mass group (T-score≥–1 and RSMI≤5.45 kg/m2), abnormal bone mass group (T-score<–1 and RSMI>5.45 kg/m2), and low muscle mass / abnormal bone mass group (T-score<–1 and RSMI≤5.45 kg/m2). Univariate analysis was used to compare the differences of general data and body composition among the four groups. Pearson correlation analysis was used to study the correlation between body composition and BMD and RSMI. Multiple linear regression analysis was used to explore the common factors affecting BMD and RSMI. Results Significant differences of body fat (PBF), fat mass (FM), fat mass index (FMI), lean mass (LM), lean mass index (LMI), bone mineral content (BMC), and Android/Gynoid fat ratio and resting metabolic rate (RMR) were found among the four groups (P<0.05). After adjusting for confounding factors, PBF, FM, and FMI were negatively correlated with BMD and RSMI, while LM, LMI, BMC, and RMR were positively correlated with BMD and RSMI. Multiple linear regression analysis showed that high PBF, low LM, and low BMC were common risk factors for BMD and RSMI. Conclusion The changes of BMD and skeletal muscle mass in postmenopausal women are closely related. Intervention measures for the common risk factors may contribute to the coordinated prevention and treatment of postmenopausal osteoporosis and sarcopenia. |