Gianzina Elina, Yiannakopoulos Christos K, Kalinterakis Georgios, Delis Spilios, Chronopoulos Efstathios
School of Physical Education and Sport Science, National and Kapodistrian University of Athens, 17232 Athens, Greece.
Second Department of Orthopaedics, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece.
J Funct Morphol Kinesiol. 2025 Feb 27;10(1):82. doi: 10.3390/jfmk10010082.
: Wearable inertial sensors are essential tools in biomechanics and sports science for assessing gait in real-world conditions. This study explored gender-based differences in biomechanical walking patterns among healthy Greek athletes using the BTS G-Walk system, focusing on key gait parameters to inform gender-specific training and rehabilitation strategies. : Ninety-five healthy athletes (55 men, 40 women), aged 18 to 30 years, participated in this study. Each athlete performed a standardized 14 m walk while 17 biomechanical gait parameters were recorded using the BTS G-Walk inertial sensor. Statistical analyses were conducted using SPSS to assess gender differences and left-right foot symmetry. : No significant asymmetry was found between the left and right feet for most gait parameters. Men exhibited longer stride lengths (left: = 0.005, Cohen's d = 0.61; right: = 0.009, Cohen's d = 0.53) and longer stride and gait cycle durations (left: = 0.025, Cohen's d = 0.52; right: = 0.025, Cohen's d = 0.53). Women showed a higher cadence ( = 0.022, Cohen's d = -0.52) and greater propulsion index (left: = 0.001, Cohen's d = -0.71; right: = 0.001, Cohen's d = -0.73), as well as a higher percentage of first double support ( = 0.030, Cohen's d = -0.44). : These findings highlight the impact of biological and biomechanical differences on walking patterns, emphasizing the need for gender-specific training and rehabilitation. The BTS G-Walk system proved reliable for gait analysis, with potential for optimizing performance, injury prevention, and rehabilitation in athletes. Future research should explore larger, more diverse populations with multi-sensor setups.
可穿戴惯性传感器是生物力学和运动科学中用于在现实世界条件下评估步态的重要工具。本研究使用BTS G-Walk系统探讨了健康希腊运动员生物力学步行模式中的性别差异，重点关注关键步态参数，以为针对性别的训练和康复策略提供依据。：95名年龄在18至30岁之间的健康运动员（55名男性，40名女性）参与了本研究。每位运动员进行一次标准化的14米步行，同时使用BTS G-Walk惯性传感器记录17个生物力学步态参数。使用SPSS进行统计分析以评估性别差异和左右脚对称性。：大多数步态参数在左右脚之间未发现明显不对称。男性表现出更长的步长（左脚： = 0.005，科恩d值 = 0.61；右脚： = 0.009，科恩d值 = 0.53）以及更长的步幅和步态周期持续时间（左脚： = 0.025，科恩d值 = 0.52；右脚： = 0.025，科恩d值 = 0.53）。女性表现出更高的步频（ = 0.022，科恩d值 = -0.52）和更大的推进指数（左脚： = 0.001，科恩d值 = -0.71；右脚： = 0.001，科恩d值 = -0.73），以及更高的首次双支撑百分比（ = 0.030，科恩d值 = -0.44）。：这些发现突出了生物学和生物力学差异对步行模式的影响，强调了针对性别训练和康复的必要性。BTS G-Walk系统被证明对步态分析可靠，具有优化运动员表现、预防损伤和康复的潜力。未来的研究应探索更大、更多样化的人群并采用多传感器设置。
