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绝经后女性肌肉质量的影响因素研究
引用本文:袁嘉尧 林燕平 黄佳纯 林贤灿 万雷 陈桐莹 赵宇 刘远祥 王世浩,黄宏兴.绝经后女性肌肉质量的影响因素研究[J].中国骨质疏松杂志,2022(3):359-363.
作者姓名:袁嘉尧 林燕平 黄佳纯 林贤灿 万雷 陈桐莹 赵宇 刘远祥 王世浩  黄宏兴
作者单位:1.广州中医药大学第三临床医学院,广东 广州 510006 2.广州中医药大学第三附属医院,广东 广州 510000
基金项目:国家自然科学基金面上项目(81973886);广州中医药大学学科研究重点项目(XK2019028)
摘    要:目的 探讨广州市绝经后女性肌肉质量的相关影响因素。方法 收集2019年6月至2020年12月广州市120名自愿参加本研究的绝经后女性的临床资料;其中符合纳入标准的有90例,年龄47~88岁,平均年龄(62.4±7.5)岁。所有受试者均记录其年龄、绝经年龄、绝经年限和身高、体重,计算BMI数值并进行骨密度测定、体成分分析检测肌肉质量。根据ASMI数值将受试者分为肌肉减少组及非肌肉减少组;分析两组年龄、绝经年龄、绝经年限和BMI数值、骨密度及肌肉质量的差异,比较两组患骨质疏松症的比率,利用Pearson相关性分析研究各因素与肌肉质量的相关程度,利用多元线性回归分析分析各指标与肌肉质量的相关性并得出回归方程。结果 肌肉减少组BMI和ASMI数值低于非肌肉减少组(P<0.05);肌肉减少组发生骨质疏松的比例大于非肌肉减少组(P>0.05);Pearson相关性分析提示绝经年龄(r=0.262,P=0.012)和BMI(r=0.771,P<0.001)与ASMI呈正相关;多元线性回归分析显示,影响绝经后女性ASMI值的因素主要有绝经年龄(P=0.037,B=0.034)和BMI(P<0.001,B=0.177),回归方程为ASMI=0.685+0.034?绝经年龄+0.177?BMI。结论 肌肉减少者比非肌肉减少者BMI更低;绝经后女性肌肉质量与绝经年龄、BMI呈正相关。

关 键 词:绝经后女性  肌肉质量  肌肉减少症

Study of the influential factors of muscle mass in postmenopausal women
YUAN Jiayao,LIN Yanping,HUANG Jiachun,LIN Xiancan,WAN Lei,CHEN Tongying,ZHAO Yu,LIU Yuanxiang,WANG Shihao,HUANG Hongxing.Study of the influential factors of muscle mass in postmenopausal women[J].Chinese Journal of Osteoporosis,2022(3):359-363.
Authors:YUAN Jiayao  LIN Yanping  HUANG Jiachun  LIN Xiancan  WAN Lei  CHEN Tongying  ZHAO Yu  LIU Yuanxiang  WANG Shihao  HUANG Hongxing
Institution:ZHAO Yu1, LIU Yuanxiang1, WANG Shihao1, HUANG Hongxing2* 1.The Third Clinical Medicine School, Guangzhou University of Chinese Medicine, Guangzhou 510006, China 2.The Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510000, China
Abstract: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.
Keywords:postmenopausal women  muscle mass  sarcopenia
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