确定绝经后肥胖妇女骨骼肌减少症筛查的临界值。

Q2 Medicine
Current Gerontology and Geriatrics Research Pub Date : 2021-03-18 eCollection Date: 2021-01-01 DOI:10.1155/2021/6634474
Nurdiana Z Abidin, Soma R Mitra
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引用次数: 3

摘要

骨肌减少性肥胖(OSO)是指个体同时存在肥胖、低骨量和低肌肉量。目前,尚无诊断OSO的既定标准。我们假设肥胖个体需要不同的切点与标准切点来定义低骨量和低肌肉量,因为他们的体重负荷更高。在这项研究中,我们根据定量超声(QUS)、生物电阻抗分析(BIA)和功能性能测试的测量结果,确定了筛查肥胖绝经后马来西亚妇女骨骼肌减少症(OS)的截止值。然后,我们比较了3种不同统计建模方法得出的截止值,(1)受试者工作特征(ROC)曲线,(2)研究人群最低五分位数,(3)年轻参照组均值以下2个标准差(SD),并讨论了筛查肥胖人群存在OS的最合适方法。141名绝经后的马来西亚妇女参与了这项研究。用跟骨定量超声评估骨密度。采用生物电阻抗分析仪测定体成分。使用握力计评估握力,使用改进的短物理性能电池测试评估物理性能。ROC曲线被确定为最适合的统计建模方法,以得出肥胖人群中存在OS的截止点。根据ROC曲线法,最终估计肥胖绝经后妇女OS概率的模型由5个变量组成:握力(HGS,曲线下面积(AUC) = 0.698,阈值≤16.5 kg)、骨骼肌质量指数(SMMI, AUC = 0.966,阈值≤8.2 kg/m2)、无脂质量指数(FFMI, AUC = 0.946,阈值≤15.2 kg/m2)、宽带超声衰减(BUA, AUC = 0.987,阈值≤52.85 dB/MHz)、声速(SOS, AUC = 0.991,阈值≤1492.15 m/s)。便携式设备可用于肥胖妇女的OS筛查。早期识别OS有助于降低晚期功能损伤的风险,而晚期功能损伤可能导致肥胖绝经后妇女的身体残疾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Determination of Cutoff Values for the Screening of Osteosarcopenia in Obese Postmenopausal Women.

Determination of Cutoff Values for the Screening of Osteosarcopenia in Obese Postmenopausal Women.

Osteosarcopenic obesity (OSO) describes the concurrent presence of obesity, low bone mass, and low muscle mass in an individual. Currently, no established criteria exist to diagnose OSO. We hypothesized that obese individuals require different cut-points from standard cut-points to define low bone mass and low muscle mass due to their higher weight load. In this study, we determined cutoff values for the screening of osteosarcopenia (OS) in obese postmenopausal Malaysian women based on the measurements of quantitative ultrasound (QUS), bioelectrical impedance analysis (BIA), and functional performance test. Then, we compared the cutoff values derived by 3 different statistical modeling methods, (1) receiver operating characteristic (ROC) curve, (2) lowest quintile of the study population, and (3) 2 standard deviations (SD) below the mean value of a young reference group, and discussed the most suitable method to screen for the presence of OS in obese population. One hundred and forty-one (n = 141) postmenopausal Malaysian women participated in the study. Bone density was assessed using calcaneal quantitative ultrasound. Body composition was assessed using bioelectrical impedance analyzer. Handgrip strength was assessed using a handgrip dynamometer, and physical performance was assessed using a modified Short Physical Performance Battery test. ROC curve was determined to be the most suitable statistical modeling method to derive the cutoffs for the presence of OS in obese population. From the ROC curve method, the final model to estimate the probability of OS in obese postmenopausal women is comprised of five variables: handgrip strength (HGS, with area under the curve (AUC) = 0.698 and threshold ≤ 16.5 kg), skeletal muscle mass index (SMMI, AUC = 0.966 and threshold ≤ 8.2 kg/m2), fat-free mass index (FFMI, AUC = 0.946 and threshold ≤ 15.2 kg/m2), broadband ultrasonic attenuation (BUA, AUC = 0.987 and threshold ≤ 52.85 dB/MHz), and speed of sound (SOS, AUC = 0.991 and threshold ≤ 1492.15 m/s). Portable equipment may be used to screen for OS in obese women. Early identification of OS can help lower the risk of advanced functional impairment that can lead to physical disability in obese postmenopausal women.

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来源期刊
Current Gerontology and Geriatrics Research
Current Gerontology and Geriatrics Research Medicine-Geriatrics and Gerontology
CiteScore
5.20
自引率
0.00%
发文量
1
审稿时长
13 weeks
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