Institute of Sport Sciences of the University of Lausanne (ISSUL), University of Lausanne, Bâtiment Synathlon, 1015 Lausanne, Switzerland.
Center for Bone Diseases, Lausanne University Hospital, 1011 Lausanne, Switzerland.
Nutrients. 2021 Dec 18;13(12):4546. doi: 10.3390/nu13124546.
Higher mass-normalized net energy cost of walking (NetC) and mechanical pendular recovery are observed in obese compared to lean adults. This study aimed to investigate the effect of different classes of obesity on the energetics and mechanics of walking and to explore the relationships between body mass, NetC and gait mechanics by using principal component analysis (PCA). NetC and gait mechanics were computed in severely obese (SOG; = 18, BMI = 40.1 ± 4.4 kg·m), moderately obese (MOG; = 17, BMI = 32.2 ± 1.5 kg·m) and normal-weight (NWG; = 13, BMI = 22.0 ± 1.5 kg·m) adults during five walking trials (0.56, 0.83, 1.11, 1.39, 1.67 m·s) on an instrumented treadmill. NetC was significantly higher in SOG compared to NWG ( = 0.019), with no significant difference between SOG and MOG ( = 0.14), nor between MOG and NWG ( = 0.27). Recovery was significantly higher in SOG than in NWG ( = 0.028), with no significant difference between SOG and MOG ( = 0.13), nor between MOG and NWG ( = 0.35). PCA models explained between 17.0% and 44.2% of the data variance. This study showed that: (1) obesity class influences the gait energetics and mechanics; (2) PCA was able to identify two components, showing that the obesity class is associated with lower walking efficiency and better pendulum-like characteristics.
与瘦成年人相比，肥胖成年人的步行净能量成本（NetC）和机械摆式恢复更高。本研究旨在探讨不同类型肥胖对步行能量学和力学的影响，并通过主成分分析（PCA）探索体重、NetC 和步态力学之间的关系。在仪器化跑步机上，对 18 名严重肥胖（SOG；BMI = 40.1 ± 4.4 kg·m）、17 名中度肥胖（MOG；BMI = 32.2 ± 1.5 kg·m）和 13 名正常体重（NWG；BMI = 22.0 ± 1.5 kg·m）成年人进行了 5 次步行试验（0.56、0.83、1.11、1.39、1.67 m·s），计算了 NetC 和步态力学。与 NWG 相比，SOG 的 NetC 显著更高（ = 0.019），而 SOG 与 MOG 之间（ = 0.14）或 MOG 与 NWG 之间（ = 0.27）没有显著差异。SOG 的恢复明显高于 NWG（ = 0.028），而 SOG 与 MOG 之间（ = 0.13）或 MOG 与 NWG 之间（ = 0.35）没有显著差异。PCA 模型解释了数据方差的 17.0%至 44.2%。本研究表明：（1）肥胖类型影响步态能量学和力学；（2）PCA 能够识别两个成分，表明肥胖类型与较低的步行效率和更好的钟摆特征有关。
