Abstract：
OBJECTIVE: This study aims to develop a regression model to estimate peak oxygen consumption (VO2peak) in individuals with spinal cord injury (SCI) by employing different variables.
METHODS: In this study, 34 participants were divided into two groups: 19 with cervical injury (CI) and 15 with thoracic injury (TI). Key measurements included VO2peak and related factors such as age, height, weight, body mass index (BMI), fat-free mass, body fat percentage, limb and trunk circumferences, spinal cord independence (SCIM III), Korean activities of daily living (K-ADL), and respiratory functions (forced vital capacity (FVC), peak expiratory flow (PEF), and maximum voluntary ventilation (MVV)). Statistical analyses were conducted using forward selection regression to examine the relationships between these variables.
RESULTS: Height, calf circumference, SCIM III score, and PEF were key variables in all patients with SCI (TSCI). For patients with CI, the key variables were height, calf circumference, and MVV, whereas for patients with TI, the key variable was calf circumference. The average explanatory powers of the VO2peak regression model for TSCI were 70.3% (R2) and 66.2% (adjusted R2), with an average standard error of estimate (SEE) of 2.94 ml/kg/min. The average explanatory power for patients with CI was 71.7% (R2) and 66.1% (adjusted R2), with an average SEE of 1.88 ml/kg/min. The average explanatory power for patients with TI was 55.9% (R2) and 52.5% (adjusted R2), with an average SEE of 3.41 ml/kg/min. There was no significant difference between the VO2peak measured and predicted VO2peak for each type of injury.
CONCLUSIONS: The regression model for estimating VO2peak in SCI patients in this preliminary study is as follows: TSCI=39.684-0.144×(Height)-0.513×(Calf)+0.136×(SCIM III)+1.187×(PEF), CI=38.842-0 .158×(Height) - 0.371×(Calf)+0.093×(MVV), TI=42.325-0.813×(Calf).
METHODS: In this study, 34 participants were divided into two groups: 19 with cervical injury (CI) and 15 with thoracic injury (TI). Key measurements included VO2peak and related factors such as age, height, weight, body mass index (BMI), fat-free mass, body fat percentage, limb and trunk circumferences, spinal cord independence (SCIM III), Korean activities of daily living (K-ADL), and respiratory functions (forced vital capacity (FVC), peak expiratory flow (PEF), and maximum voluntary ventilation (MVV)). Statistical analyses were conducted using forward selection regression to examine the relationships between these variables.
RESULTS: Height, calf circumference, SCIM III score, and PEF were key variables in all patients with SCI (TSCI). For patients with CI, the key variables were height, calf circumference, and MVV, whereas for patients with TI, the key variable was calf circumference. The average explanatory powers of the VO2peak regression model for TSCI were 70.3% (R2) and 66.2% (adjusted R2), with an average standard error of estimate (SEE) of 2.94 ml/kg/min. The average explanatory power for patients with CI was 71.7% (R2) and 66.1% (adjusted R2), with an average SEE of 1.88 ml/kg/min. The average explanatory power for patients with TI was 55.9% (R2) and 52.5% (adjusted R2), with an average SEE of 3.41 ml/kg/min. There was no significant difference between the VO2peak measured and predicted VO2peak for each type of injury.
CONCLUSIONS: The regression model for estimating VO2peak in SCI patients in this preliminary study is as follows: TSCI=39.684-0.144×(Height)-0.513×(Calf)+0.136×(SCIM III)+1.187×(PEF), CI=38.842-0 .158×(Height) - 0.371×(Calf)+0.093×(MVV), TI=42.325-0.813×(Calf).
摘要：
目的：本研究旨在建立一个回归模型，通过使用不同的变量来估计脊髓损伤（SCI）个体的峰值耗氧量（VO2peak）。
方法：在本研究中，34名参与者被分为两组：19名颈椎损伤（CI）和15名胸部损伤（TI）。关键测量包括VO2peak和相关因素，如年龄，高度,体重,体重指数（BMI），无脂质量，身体脂肪百分比，四肢和躯干的圆周，脊髓独立性（SCIMIII），韩国日常生活活动（K-ADL），和呼吸功能(强制肺活量(FVC)，峰值呼气流量(PEF),和最大自愿通风(MVV))。使用正向选择回归进行统计分析以检查这些变量之间的关系。
结果：高度，小腿周长,SCIMIII评分,和PEF是所有SCI（TSCI）患者的关键变量。对于CI患者，关键变量是身高，小腿周长,和MVV，而对于TI患者，关键变量是小腿周长。VO2peak回归模型对TSCI的平均解释能力分别为70.3%(R2)和66.2%(调整后的R2),平均标准误差（SEE）为2.94ml/kg/min。CI患者的平均解释能力为71.7%(R2)和66.1%(调整后的R2)，平均SEE为1.88ml/kg/min。TI患者的平均解释能力为55.9%（R2）和52.5%（调整后的R2），平均SEE为3.41ml/kg/min。对于每种类型的损伤，测得的VO2峰与预测的VO2峰之间没有显着差异。
结论：本初步研究中估计SCI患者VO2peak的回归模型如下：TSCI=39.684-0.144×（身高）-0.513×（小牛）0.136×（SCIMIII）1.187×（PEF），CI=38.842-0.158×（高度）-0.371×（小牛）+0.093×（MVV），TI=42.325-0.813×(小牛)。
方法：在本研究中，34名参与者被分为两组：19名颈椎损伤（CI）和15名胸部损伤（TI）。关键测量包括VO2peak和相关因素，如年龄，高度,体重,体重指数（BMI），无脂质量，身体脂肪百分比，四肢和躯干的圆周，脊髓独立性（SCIMIII），韩国日常生活活动（K-ADL），和呼吸功能(强制肺活量(FVC)，峰值呼气流量(PEF),和最大自愿通风(MVV))。使用正向选择回归进行统计分析以检查这些变量之间的关系。
结果：高度，小腿周长,SCIMIII评分,和PEF是所有SCI（TSCI）患者的关键变量。对于CI患者，关键变量是身高，小腿周长,和MVV，而对于TI患者，关键变量是小腿周长。VO2peak回归模型对TSCI的平均解释能力分别为70.3%(R2)和66.2%(调整后的R2),平均标准误差（SEE）为2.94ml/kg/min。CI患者的平均解释能力为71.7%(R2)和66.1%(调整后的R2)，平均SEE为1.88ml/kg/min。TI患者的平均解释能力为55.9%（R2）和52.5%（调整后的R2），平均SEE为3.41ml/kg/min。对于每种类型的损伤，测得的VO2峰与预测的VO2峰之间没有显着差异。
结论：本初步研究中估计SCI患者VO2peak的回归模型如下：TSCI=39.684-0.144×（身高）-0.513×（小牛）0.136×（SCIMIII）1.187×（PEF），CI=38.842-0.158×（高度）-0.371×（小牛）+0.093×（MVV），TI=42.325-0.813×(小牛)。
