Estimation of peak oxygen consumption in individuals with spinal cord injury patients using multiple linear regression analysis: a preliminary study.

Physical activity and nutrition Pub Date : 2023-12-01 Epub Date: 2023-12-31 DOI:10.20463/pan.2023.0034
Hyun-Hee Choi, Hana Ahn, Won-Sang Jung
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Abstract

Purpose: 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.

Conclusion: 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).

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利用多元线性回归分析估算脊髓损伤患者的峰值耗氧量:初步研究。
目的:本研究旨在建立一个回归模型,通过采用不同的变量来估算脊髓损伤(SCI)患者的峰值耗氧量(VO2peak):本研究将 34 名参与者分为两组:19 名颈椎损伤者(CI)和 15 名胸椎损伤者(TI)。主要测量指标包括 VO2 峰值和相关因素,如年龄、身高、体重、体重指数 (BMI)、无脂肪质量、体脂百分比、肢体和躯干周长、脊髓独立性 (SCIM III)、韩国日常生活活动 (K-ADL) 和呼吸功能(强制生命容量 (FVC)、呼气流量峰值 (PEF) 和最大自主通气量 (MVV))。统计分析采用前向选择回归法来研究这些变量之间的关系:结果:身高、小腿围、SCIM III 评分和 PEF 是所有 SCI(TSCI)患者的关键变量。CI 患者的关键变量是身高、小腿围和 MVV,而 TI 患者的关键变量是小腿围。VO2peak 回归模型对 TSCI 的平均解释力分别为 70.3%(R2)和 66.2%(调整后 R2),平均估计标准误差 (SEE) 为 2.94 毫升/千克/分钟。CI 患者的平均解释力为 71.7%(R2)和 66.1%(调整后 R2),平均 SEE 为 1.88 毫升/千克/分钟。TI 患者的平均解释力为 55.9%(R2)和 52.5%(调整后 R2),平均 SEE 为 3.41 毫升/千克/分钟。对于每种类型的损伤,测量的 VO2peak 与预测的 VO2peak 之间没有明显差异:在这项初步研究中,估计 SCI 患者 VO2peak 的回归模型如下:TSCI=39.684-0.144×(身高)-0.513×(小腿)+0.136×(SCIM III)+1.187×(PEF),CI=38.842-0.158×(身高)-0.371×(小腿)+0.093×(MVV),TI=42.325-0.813×(小腿)。
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