肌肉含量指标对绝经后女性骨质疏松症发生风险的预测价值分析
Analysis of the predictive value of muscle content indicators for the risk of developing osteoporosis in postmenopausal women
  
DOI:10.3969/j.issn.1006-7108.2023.01.009
中文关键词:  肌肉质量指标  骨质疏松  临界值  预测  绝经后
英文关键词:muscle mass index  osteoporosis  cut off value  predication  post-menopause
基金项目:贵州省卫生健康委科学技术基金项目(gzwjkj20191214);中国健康促进基金会博士联盟项目(横向课题);贵州医科大学附属医院2021年度临床研究课题项目 (2021-GMHCT-011)
作者单位
许海娜1 莫国应2 朱焱1 安苗苗1 吴春艳1 方月3 冉利梅1,3* 1.贵州医科大学公共卫生与健康学院环境污染与疾病监控教育部重点实验室贵州 贵阳 550025 2.贵州省荔波县人民医院贵州 黔南州 558400 3.贵州医科大学附属医院健康管理中心贵州 贵阳 550004 
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中文摘要:
      目的 评价肌肉含量指标与骨密度(bone mineral density,BMD)的关联性,筛选预测绝经后女性骨质疏松(osteoporosis,OP)发生风险的最佳部位肌肉指标及其截止点。方法 选取2018年1月至2021年10月贵州医科大学附院健康管理中心的1366名绝经后女性,采用DXA和BIA测量BMD和四肢骨骼肌含量(ASM),以ASM算出各肌肉含量指标:ASMI、ASMBMI及SMI。应用ROC曲线及Logistic回归分析验证肌肉指标对OP风险的预测能力及评估关联强度。结果 OP组的肌肉含量低于非OP组,除腰椎BMD间的SMI和股骨颈、腰椎BMD间的内脏脂肪面积及大粗隆、全髋BMD间的ASMBMI差异无统计学意义(P>0.05),各部位不同BMD间脂肪、肌肉含量指标差异均有统计学意义(P<0.05)。Pearson分析显示,各部位BMD与SMI呈负相关(r=-0.095、-0.122、-0.195、-0.177);与ASM、ASM、ASMBMI呈正相关(r=0.369、0.298、0.085;0.366、0.297、0.066;0.366、0.369;0.362、0.360,P<0.05)。ROC曲线及Logistic分析显示ASM<17.2 kg(OR=3.699)和ASMBMI<0.74(OR=2.235)是预测绝经后女性股骨颈和腰椎OP发生风险关联强度最高的肌肉含量指标及截止点。结论 ASM<17.2 kg和ASMBMI<0.74是OP的独立风险因素及预测绝经后女性股骨颈和腰椎部位发生OP风险的肌肉量指标及截止点范围。
英文摘要:
      Objective To evaluate the correlation between muscle content index and bone mineral density (BMD) of different parts, and to screen the best site of muscle content index measurement and cut-off point for predicting the risk of postmenopausal osteoporosis. Methods A total of 1366 postmenopausal women were selected from the Health Management Center of the Affiliated Hospital of Guizhou Medical University from January 2018 to October 2021. BMD and skeletal muscle content (ASM) of limbs were measured with DXA and BIA methods. Muscle indexes such as ASMI, ASMBMI, and SMI were calculated from ASM. ROC curve and logistic regression analysis were used to verify the ability of muscle index to predict OP risk and to evaluate the correlation strength. Results The muscle content in OP group was lower than that in non-OP group. There was no significant difference between SMI and different BMD group in lumbar, the visceral fat area and different BMD group in femoral neck, and ASMBMI and different BMD group in greater trochanter and total hip BMD (P>0.05). There were significant differences in fat and muscle content among different BMD group (P<0.05). There was a negative correlation between BMD and SMI (r=0.095, -0.122, r=0.195 and r=0.177, P<0.05), and a positive correlation with ASM, ASM and ASMBMI (r=0.369, 0.298, 0.085/0.366, 0.297, 0.066/0.366, 0.362/0.362, 0.360, P<0.05). ROC curve and regression analysis showed that ASM<17.2 kg (OR=3.699) and ASMBMI<0.74 (OR=2.235) were the highest muscle content indexes and cut-off points for predicting the risk of OP in postmenopausal women. Conclusion ASM<17.2 kg and ASMBMI< 0.74 are independent risk factors of OP and muscle mass index and cut-off point range for predicting the risk of OP in postmenopausal women's femoral neck and lumbar spine.
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