Kamp F A, Lennon N, Holmes L, Dallmeijer A J, Henley J, Miller F
Department of Rehabilitation Medicine, VU University Medical Centre, P.O. Box 7057, 1007 MB Amsterdam, The Netherlands.
Department of Orthopedics, A.I. DuPont Hospital, 1600 Rockland Road, Wilmington, DE 190803, USA.
Gait Posture. 2014;40(1):209-14. doi: 10.1016/j.gaitpost.2014.03.187. Epub 2014 Apr 5.
The energy cost (EC) of walking is different for typically developing (TD) and children with cerebral palsy (CP). The associated factors of EC are not fully understood in children with CP. We assessed the relationship between EC and age, body surface area (BSA), and gross motor function measure (GMFM). We retrospectively examined data collected between 2003 and 2011 on 276 children aged 4-18 years who were classified as Gross Motor Function Classification System level I, n=79; II, n=123; and III, n=74. Energy cost was assessed while children walked 6-8 min at a comfortable, self-selected speed using their typical walking aids and/or orthoses as part of a clinical gait analysis. During the test, participants wore a breath-by-breath portable gas analysis system, measuring oxygen consumption. To calculate EC (J/kg/m), oxygen consumption was converted to J/kg/min and divided by walking speed. Data were analyzed using linear regression model. Energy cost correlated inversely with age (β=-0.16, R2=0.02, P=0.01), BSA (β=-3.35, R2=0.11, P<0.0001), and GMFM (β=-0.12, R2=0.42, P<0.0001). In the multiple linear regression model, GMFM was the most potent correlate of EC, BSA explained another 10% of the variance (R2=0.53), and age was a marginally significant correlate of EC (P=0.08). In summary, in children with CP in our study, EC decreased as GMFM and BSA increased, and GMFM was the most potent correlate of EC.
对于发育正常(TD)的儿童和脑瘫(CP)儿童来说,行走的能量消耗(EC)是不同的。CP儿童中EC的相关因素尚未完全明确。我们评估了EC与年龄、体表面积(BSA)和粗大运动功能测量(GMFM)之间的关系。我们回顾性分析了2003年至2011年期间收集的276名4至18岁儿童的数据,这些儿童被分类为粗大运动功能分类系统I级(n = 79)、II级(n = 123)和III级(n = 74)。在临床步态分析中,当儿童使用他们常用的助行器和/或矫形器以舒适的、自我选择的速度行走6 - 8分钟时,评估能量消耗。测试期间,参与者佩戴逐次呼吸便携式气体分析系统,测量耗氧量。为了计算EC(焦耳/千克/米),将耗氧量转换为焦耳/千克/分钟并除以行走速度。使用线性回归模型分析数据。能量消耗与年龄呈负相关(β = -0.16,R2 = 0.02,P = 0.01)、与体表面积呈负相关(β = -3.35,R2 = 0.11,P < 0.0001)以及与GMFM呈负相关(β = -0.12,R2 = 0.42,P < 0.0001)。在多元线性回归模型中,GMFM是EC的最主要相关因素,BSA解释了另外10%的方差(R2 = 0.53),年龄是EC的边缘显著相关因素(P = 0.08)。总之,在我们研究的CP儿童中,随着GMFM和BSA的增加,EC降低,并且GMFM是EC的最主要相关因素。