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肌肉含量指标预测社区人群骨质疏松症风险研究

Screening on muscle mass indexes for predicting osteoporosis risk in community residents

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【作者】 杨秀琳马斌莫晓丹马力扬海向军

【Author】 YANG Xiulin;MA Bin;MO Xiaodan;MA Liyang;HAI Xiangjun;Medical Department of Northwest Minzu University;Key Laboratory of Environmental Ecology and Population Health in Northwest Minority Areas, Northwest Minzu University;

【通讯作者】 海向军;

【机构】 西北民族大学医学部西北民族地区环境生态与人群健康国家民委重点实验室

【摘要】 目的评价肌肉含量指标与骨质疏松症(osteoporosis, OP)的关联性,筛选预测社区人群OP风险的良好肌肉含量指标。方法选取来自甘肃省四个市、县的3 151名社区居民,用超声骨密度仪测量研究对象的骨强度、T值,运用生物电阻抗体成分分析仪分别测量四肢肌肉量,并计算四肢骨骼肌量(appendicular skeletal muscle mass, ASM)、四肢骨骼肌指数(appendicular skeletal muscle mass index, ASMI)、四肢骨骼肌体重比(skeletal muscle index, SMI)及四肢骨骼肌BMI比(ASM-to-BMI ratio)。应用ROC曲线及Logistic回归分析评价各肌肉量指标与OP风险的关联强度。结果男、女性ASM、ASMI、SMI、ASM-to-BMI ratio预测OP的ROC曲线下面积均有统计学意义(P<0.05),最佳切点值:ASM:男19.550 kg,女16.350 kg; ASMI:男7.523 3 kg/m~2,女6.463 3 kg/m~2;SMI:男0.327 5,女0.281 6;ASM-to-BMI ratio:男0.898 6,女0.708 8。多因素Logistic回归分析显示,男性ASM与ASMI,女性ASM、ASMI与ASM-to-BMI ratio是预测OP风险有意义的肌肉量指标;男性ASM与AMSI均(+)组与均(-)组OP检出率分别为26.60%及4.38%;女性ASM、AMSI、ASM-to-BMI ratio均(-)组与均(+)组OP检出率分别为0.88%与23.78%。结论男性ASM与ASMI,女性ASM、ASMI与ASM-to-BMI ratio是预测OP风险的良好肌肉量指标;指标联合应用能显著提高预测OP风险的效果。

【Abstract】 Objective To assess relationships of muscle mass indexes and osteoporosis, and identify muscle mass indexes for predicting risk of osteoporosis in community residents. Methods Bone strength, T value, appendicular skeletal muscle mass(ASM)on a sample of 3151 Gansu community dwellers in 4 cities/counties were tested by Ultrasonic bone mineral density meter and bioelectric impedance technique; three other muscle mass indexes include appendicular skeletal muscle mass index(ASMI), skeletal muscle index(SMI)and ASM/BMI(ASM-to-BMI ratio)were calculated. ROC curve and Logistic analysis were used to analyze the relationship of muscle mass indexes and the risk of osteoporosis. Results ASM、ASMI、SMI and ASM-to-BMI ratio were significant muscle mass index in predicting OP risk in both male and female according to the result of ROC curves analysis, the optimal cut-off values were: ASM(male 19.550 kg, female 16.350 kg), ASMI(male 7.523 3 kg/m~2,female 6.463 3 kg/m~2), SMI(male 0.327 5,female 0.281 6), ASM-to-BMI ratio(male 0.898 6,female 0.708 8); Multivariate logistic analysis showed that ASM and ASMI were significant indexes for predicting OP risk for male whereas ASM,ASMI and ASM-to-BMI ratio were significant indexes for female; the incidence of OP in ASM(-), ASMI(-) group and ASM(+), ASMI(+) group of male were 4.38% and 26.60% respectively whereas the incidence of OP in ASM(-), ASMI(-), ASM-to-BMI ratio(-) group and ASM(+), ASMI(+), ASM-to-BMI ratio(+) group were 0.88% and 23.78% respectively of female. Conclusion ASM and ASMI in male and ASM, ASMI and ASM-to-BMI ratio in female were significant muscle mass indexes for OP risk prediction; the combination of indicators can significantly improve the effect of predicting OP risk.

【关键词】 肌肉量指标骨质疏松症风险预测
【Key words】 muscle mass indexesosteoporosisriskpredication
【基金】 甘肃省科学技术厅技术引导创新计划项目(20CX9ZA115);甘肃省教育厅高等学校创新基金项目(2020B-072);兰州市城关区科技计划项目(2018-7-18);西北民族大学中央高校基本科研业务费资助项目(31920190207,31920170002,31920190007)
  • 【文献出处】 中国骨质疏松杂志 ,Chinese Journal of Osteoporosis , 编辑部邮箱 ,2022年02期
  • 【分类号】R580
  • 【被引频次】3
  • 【下载频次】241
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