Totosy de Zepetnek Julia O, Au Jason S, Hol Adrienne T, Eng Janice J, MacDonald Maureen J
a Department of Kinesiology, McMaster University, Hamilton, ON L8S 4L8, Canada.
b Department of Physical Therapy, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
Appl Physiol Nutr Metab. 2016 Jul;41(7):775-81. doi: 10.1139/apnm-2015-0670. Epub 2016 Mar 15.
The purpose of this study was to determine the validity of the 6-min arm ergometry test (6MAT) in predicting peak oxygen consumption (V̇O2peak) in individuals with chronic spinal cord injury (SCI). Fifty-two individuals with chronic SCI (age, 38 ± 10 years; American Spinal Injury Association Impairment Scale (AIS), A-D; neurological level of injury (NLI), C1-L2; years post-injury (YPI), 13 ± 10 years) completed an incremental arm ergometry V̇O2peak test and a submaximal 6MAT. Oxygen consumption (V̇O2) data from both tests were used to create a predictive equation with regression analysis. Subsequently, a cross-validation group comprising an additional 10 individuals with SCI (age, 39 ± 13 years; AIS, A-D; NLI, C3-L3; YPI, 9 ± 9 years) were used to determine the predictive power of the equation. All participants were able to complete both the V̇O2peak and 6MAT assessments. Regression analysis yielded the following equation to predict V̇O2peak from end-stage 6MAT V̇O2: V̇O2peak (mL·kg(-1)·min(-1)) = 1.501(6MAT V̇O2) - 0.940. Correlation between measured and predicted V̇O2peak was excellent (r = 0.89). No significant difference was found between measured (17.41 ± 7.44 mL·kg(-1)·min(-1)) and predicted (17.42 ± 6.61 mL·kg(-1)·min(-1)) V̇O2peak (p = 0.97). When cross-validated with a sample of 10 individuals with SCI, correlation between measured and predicted V̇O2peak remained high (r = 0.89), with no differences between measured (18.81 ± 8.35 mL·kg(-1)·min(-1)) and predicted (18.73 ± 7.27 mL·kg(-1)·min(-1)) V̇O2peak (p = 0.75). Results suggest that 6MAT V̇O2 can be used to predict V̇O2peak among individuals with chronic SCI. The 6MAT should be used as a clinical tool for assessing aerobic capacity when peak exercise testing is not feasible.
本研究的目的是确定6分钟手臂测力计测试(6MAT)在预测慢性脊髓损伤(SCI)个体的峰值耗氧量(V̇O2peak)方面的有效性。52名慢性SCI个体(年龄38±10岁;美国脊髓损伤协会损伤分级量表(AIS),A - D级;神经损伤平面(NLI),C1 - L2;受伤后年限(YPI),13±10年)完成了递增式手臂测力计V̇O2peak测试和次最大强度6MAT测试。来自两项测试的耗氧量(V̇O2)数据用于通过回归分析创建一个预测方程。随后,另外10名SCI个体(年龄39±13岁;AIS,A - D级;NLI,C3 - L3;YPI,9±9年)组成的交叉验证组用于确定该方程的预测能力。所有参与者都能够完成V̇O2peak和6MAT评估。回归分析得出以下从6MAT测试末期V̇O2预测V̇O2peak的方程:V̇O2peak(mL·kg⁻¹·min⁻¹) = 1.501(6MAT V̇O2) - 0.940。测量的和预测的V̇O2peak之间的相关性极佳(r = 0.89)。测量的V̇O2peak(17.41±7.44 mL·kg⁻¹·min⁻¹)和预测的V̇O2peak(17.42±6.61 mL·kg⁻¹·min⁻¹)之间未发现显著差异(p = 0.97)。当用10名SCI个体的样本进行交叉验证时,测量的和预测的V̇O2peak之间仍然具有高度相关性(r = 0.89),测量的V̇O2peak(18.81±8.35 mL·kg⁻¹·min⁻¹)和预测的V̇O2peak(18.73±7.27 mL·kg⁻¹·min⁻¹)之间无差异(p = 0.75)。结果表明,6MAT V̇O2可用于预测慢性SCI个体的V̇O2peak。当峰值运动测试不可行时,6MAT应用作评估有氧能力的临床工具。