This study investigates the effects of anthropometric attributes, biological sex, and posture on translational body kinematic responses in translational vibrations. In total, 35 participants were recruited. Perturbations were applied on a standard car seat using a motion-based platform with 0.1 to 12.0 Hz random noise signals, with 0.3 m/s2 rms acceleration, for 60 seconds. Multiple linear regression models (three basic models and one advanced model, including interactions between predictors) were created to determine the most influential predictors of peak translational gains in the frequency domain per body segment (pelvis, trunk, and head). The models introduced experimentally manipulated factors (motion direction, posture, measured anthropometric attributes, and biological sex) as predictors. Effects of included predictors on the model fit were estimated. Basic linear regression models could explain over 70% of peak body segments' kinematic body response (where the R2 adjusted was 0.728). The inclusion of additional predictors (posture, body height and weight, and biological sex) did enhance the model fit, but not significantly (R2 adjusted was 0.730). The multiple stepwise linear regression, including interactions between predictors, accounted for the data well with an adjusted R2 of 0.907. The present study shows that perturbation direction and body segment kinematics are crucial factors influencing peak translational gains. Besides the body segments' response, perturbation direction was the strongest predictor. Adopted postures and biological sex do not significantly affect kinematic responses.

翻译：本研究探讨人体测量属性、生物性别及坐姿对平移振动中身体运动学响应的影响。共招募35名受试者。使用运动平台在标准汽车座椅上施加扰动，采用0.1至12.0 Hz随机噪声信号，加速度均方根值为0.3 m/s²，持续60秒。建立多元线性回归模型（三个基础模型及一个包含预测变量间交互作用的进阶模型），以确定各身体节段（骨盆、躯干和头部）在频域内峰值平移增益的最显著预测因子。模型将实验操控因素（运动方向、坐姿、测量的人体测量属性及生物性别）作为预测变量，并评估各预测变量对模型拟合度的影响。基础线性回归模型可解释超过70%的身体节段运动学响应峰值（调整后R²为0.728）。加入额外预测变量（坐姿、身高体重及生物性别）虽提升模型拟合度，但效果不显著（调整后R²为0.730）。包含预测变量间交互作用的多元逐步线性回归对数据的拟合度较好，调整后R²为0.907。本研究表明，扰动方向与身体节段运动学是影响峰值平移增益的关键因素。除身体节段响应外，扰动方向为最强预测因子，而采用坐姿与生物性别对运动学响应无显著影响。