Ma Yiming, de Groot Sonja, Weijs Peter J M, Achterberg Wendy, Adriaansen Jacinthe, Janssen Thomas W J
Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.
Amsterdam Rehabilitation Research Center | Reade, Amsterdam, The Netherlands.
Spinal Cord. 2022 Mar;60(3):228-236. doi: 10.1038/s41393-021-00682-w. Epub 2021 Aug 12.
Cross-sectional study.
This study: (1) investigated the accuracy of bioelectrical impedance analysis (BIA) and skinfold thickness relative to dual-energy X-ray absorptiometry (DXA) in the assessment of body composition in people with spinal cord injury (SCI), and whether sex and lesion characteristics affect the accuracy, (2) developed new prediction equations to estimate fat free mass (FFM) and percentage fat mass (FM%) in a general SCI population using BIA and skinfolds outcomes.
University, the Netherlands.
Fifty participants with SCI (19 females; median time since injury: 15 years) were tested by DXA, single-frequency BIA (SF-BIA), segmental multi-frequency BIA (segmental MF-BIA), and anthropometry (height, body mass, calf circumference, and skinfold thickness) during a visit. Personal and lesion characteristics were registered.
Compared to DXA, SF-BIA showed the smallest mean difference in estimating FM%, but with large limits of agreement (mean difference = -2.2%; limits of agreement: -12.8 to 8.3%). BIA and skinfold thickness tended to show a better estimation of FM% in females, participants with tetraplegia, or with motor incomplete injury. New equations for predicting FFM and FM% were developed with good explained variances (FFM: R = 0.94; FM%: R = 0.66).
None of the measurement techniques accurately estimated FM% because of the wide individual variation and, therefore, should be used with caution. The accuracy of the techniques differed in different subgroups. The newly developed equations for predicting FFM and FM% should be cross-validated in future studies.
横断面研究。
本研究:(1)调查生物电阻抗分析(BIA)和皮褶厚度相对于双能X线吸收法(DXA)在评估脊髓损伤(SCI)患者身体成分方面的准确性,以及性别和损伤特征是否会影响准确性,(2)利用BIA和皮褶测量结果开发新的预测方程,以估计一般SCI人群的去脂体重(FFM)和体脂百分比(FM%)。
荷兰的一所大学。
50名SCI患者(19名女性;受伤后的中位时间:15年)在一次就诊期间接受了DXA、单频BIA(SF-BIA)、节段多频BIA(节段MF-BIA)和人体测量(身高、体重、小腿围和皮褶厚度)测试。记录个人和损伤特征。
与DXA相比,SF-BIA在估计FM%方面的平均差异最小,但一致性界限较大(平均差异=-2.2%;一致性界限:-12.8%至8.3%)。BIA和皮褶厚度在女性、四肢瘫痪患者或运动不完全损伤患者中对FM%的估计往往更好。开发了用于预测FFM和FM%的新方程,其具有良好的解释方差(FFM:R=0.94;FM%:R=0.66)。
由于个体差异较大,没有一种测量技术能准确估计FM%,因此应谨慎使用。这些技术在不同亚组中的准确性有所不同。新开发的预测FFM和FM%的方程应在未来的研究中进行交叉验证。