Emerson Nadia S, Fukuda David H, Stout Jeffrey R, Robinson Edward H, McCormack William P, Scanlon Tyler C, Warren Ashlee M, Wells Adam J, Gonzalez Adam M, Mangine Gerald T, Fragala Maren S, Hoffman Jay R
Institute of Exercise Physiology and Wellness, University of Central Florida, 4000 Central Florida Blvd, Orlando, FL 32816, United States.
Institute of Exercise Physiology and Wellness, University of Central Florida, 4000 Central Florida Blvd, Orlando, FL 32816, United States.
Arch Gerontol Geriatr. 2014 Sep-Oct;59(2):300-4. doi: 10.1016/j.archger.2014.04.012. Epub 2014 May 4.
The relationship between PWCFT and common measures used to assess sarcopenia in older adults were examined. Fifty-eight older adults [age: 71.1 ± 6.2 years; body mass index (BMI): 28.0 ± 5.4 kg/m(2)] completed the testing procedures. Sarcopenia-related body composition was measured by dual-energy X-ray absorptiometry and participants performed a discontinuous cycle ergometry test to determine PWCFT. Functionality assessments included maximal isometric grip strength (GRIP) and sit-to-stand (STS) repetitions in 30s. Muscle quality (MQ) was defined as GRIP relative to appendicular lean soft tissue (ALM), while skeletal muscle index (SMI) was defined as ALM/height(2). Pearson correlations were used to examine the relationships among dependent variables. PWCFT showed significant relationships with ALM (r=0.57), SMI (r=0.47), body fat percentage (BF%) (r=-0.50), GRIP (r=0.49), and STS (r=0.44). For follow-up analyses, study participants were categorized into low sarcopenia risk (n=31) or high sarcopenia risk (n=27) groups by SMI. Sarcopenia risk was associated with PWCFT [odds ratio (OR): 1.051, 95% confidence interval (CI): 1.016-1.087] and STS (OR: 1.305, CI: 1.060-1.607), but not GRIP (OR: 1.098, CI: 0.989-1.218). Using receiver-operator characteristic curve analysis, both PWCFT [area under the curve (AUC): 0.737, CI: 0.608-0.866, optimal cutoff: 37.5 W] and STS (AUC: 0.749, CI: 0.623-0.874, optimal cutoff: 12.5 repetitions) showed discriminative ability with regard to sarcopenia risk. The current data suggest that the neuromuscular fatigue threshold, as measured by PWCFT, is related to measures of body composition and function in older adults.
研究了老年人峰值工作能力（PWCFT）与用于评估肌肉减少症的常用指标之间的关系。58名老年人[年龄：71.1±6.2岁；体重指数（BMI）：28.0±5.4kg/m²]完成了测试程序。通过双能X线吸收法测量与肌肉减少症相关的身体成分，参与者进行间断循环测力计测试以确定PWCFT。功能评估包括最大等长握力（GRIP）和30秒内从坐到站（STS）的重复次数。肌肉质量（MQ）定义为相对于附属瘦软组织（ALM）的GRIP，而骨骼肌指数（SMI）定义为ALM/身高²。采用Pearson相关性分析来检验各因变量之间的关系。PWCFT与ALM（r = 0.57）、SMI（r = 0.47）、体脂百分比（BF%）（r = -0.50）、GRIP（r = 0.49）和STS（r = 0.44）均呈现显著相关性。在后续分析中，根据SMI将研究参与者分为低肌肉减少症风险组（n = 31）或高肌肉减少症风险组（n = 27）。肌肉减少症风险与PWCFT[比值比（OR）：1.051，95%置信区间（CI）：1.016 - 1.087]和STS（OR：1.305，CI：1.06 = 1.607）相关，但与GRIP无关（OR：1.098，CI：0.989 - 1.218）。使用受试者工作特征曲线分析，PWCFT[曲线下面积（AUC）：0.737，CI：0.608 - 0.866，最佳截断值：37.5W]和STS（AUC：0.749，CI：0.623 - 0.874，最佳截断值：12.5次重复）在肌肉减少症风险方面均显示出判别能力。当前数据表明，通过PWCFT测量的神经肌肉疲劳阈值与老年人的身体成分和功能指标相关。
