| Objective To explore the influential factors of muscle mass in postmenopausal women in Guangzhou. Methods The clinical data of 120 postmenopausal women who volunteered to participate in this study in Guangzhou were collected from June 2019 to December 2020. Among them, 90 patients met the inclusion criteria. They were 47~88 years old, with an average age of 62.4±7.46 years old. Age, menopausal age, menopausal years, height, and weight of all patients were recorded. BMI was calculated. Bone mineral density (BMD) and muscle mass were measured and body composition was analyzed. The patients were divided into sarcopenia group and non-sarcopenia group according to ASMI. The differences of age, menopausal age, menopausal years, BMI, BMD, and muscle mass between the two groups were analyzed. The ratio of osteoporosis between the two groups was compared. Pearson correlation analysis was used to study the correlation between various factors and muscle mass. Multiple linear regression analysis was used to analyze the correlation between each index and muscle mass, and the regression equation was obtained. Results BMI and ASMI in the sarcopenia group were significantly lower than those in the non-sarcopenia group (P<0.05). The proportion of osteoporosis in the sarcopenia group was higher than that in the non-sarcopenia group (P>0.05). Pearson correlation analysis showed that menopausal age (r=0.262, P=0.012) and BMI (r=0.771, P<0.001) were positively correlated with ASMI. Multiple linear regression analysis showed that the main factors affecting ASMI of postmenopausal women were menopausal age (P=0.037, B=0.034) and BMI (P<0.001, B=0.177). The regression equation was ASMI=0.685+0.034?menopausal age+0.177?BMI. Conclusion Patients with sarcopenia have a lower BMI than those without. Menopausal age and BMI are positively correlated with muscle mass in postmenopausal women. |