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Objective To investigate the changes of age, body mass index (BMI) and body composition in postmenopausal women and their relationship with osteoporosis. Methods The body composition and bone mineral density (BMD) data of 98 postmenopausal women over 45 years collected from the outpatient department of the Third Affiliated Hospital of Guangzhou University of Chinese Medicine from December 2019 to January 2021 were analyzed. According to the age and BMI of the subjects, the body composition of different age and BMI groups were compared.Spearman's rank correlation was used to analyze the effects of age, BMI and body composition on osteoporosis, and multiple linear regression was used to study the influencing factors of BMD and overall bone mineral content ( BMC). Results Both BMD(P < 0. 001) and BMC (P < 0. 05) in each age group decreased with age, while BMC (P < 0. 05 ), lean mass ( P <0. 001 ) and fat mass (P < 0. 001) in each BMI group increased with the BMI Spearman's rank correlation analysis showed that the severity of osteoporosis increased with age (P = 0. 005, r = 0. 281). The severity of osteoporosis was decreased with the increase of BMI ( P = 0. 019, r = -0. 237), BMC (P < 0. 001, r = -0. 719), lean mass (P = 0. 014, r = -0. 249) and fat mass ( P = 0. 013, r = - 0. 249). The result of multiple linear regression analysis showed that age was negatively correlated with BMD ( P = 0. 002, B = -0. 004) and BMC (P = 0. 000, B = -0. 013), while lean mass ( P = 0. 018, B = 0. 022) and fat mass ( P = 0. 037, B = 0. 027) were positively correlated with BMC in postmenopausal women Conclusion Age is a risk factor for osteoporosis in postmenopausal women, while BMI, lean mass and fat mass are protective factors, which can improve the BMD and BMC. [ABSTRACT FROM AUTHOR]

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+0.034xmenopausal age+0.177xBMI. Conclusion Patients with sarcopenia have a lower BMI than those without. Menopausal age and BMI are positively correlated with muscle mass in postmenopausal women. [ABSTRACT FROM AUTHOR]