Acute Modulation of Physiological Tremor by Physical Exercise and Resistance Training: A Meta-Analysis of Quantitative Neuromuscular Responses in Healthy Adults

This dataset supports the meta-analysis titled “Acute Modulation of Physiological Tremor by Physical Exercise and Resistance Training: A Meta-Analysis of Quantitative Neuromuscular Responses in Healthy Adults.” The study systematically synthesized experimental data on how various forms of physical exertion, including resistance training and isometric tasks, influence physiological tremor amplitude and frequency in healthy adults. It focused on validated tremor metrics such as root mean square (RMS) amplitude and peak power. The dataset contains records of 140 screened studies, of which 13 were included in the final quantitative synthesis. A random-effects meta-analysis revealed a significant overall reduction in physiological tremor amplitude following physical activity (Hedges’ g = –0.42), with a more pronounced effect for resistance training protocols (Hedges’ g = –1.03). The analysis identified tremor as a sensitive neuromechanical marker of acute motor unit behavior, fatigue, and central-peripheral drive modulation. The uploaded files include: Supplementary Table S4: Full list of 140 screened studies with bibliographic and methodological annotations; Supplementary Table S1: Risk of Bias Assessment (JBI Checklist); Supplementary Table S2: Certainty of Evidence (GRADE framework); PRISMA Flowchart: Documentation of study selection process; Meta-analysis Summary Files: Effect sizes, forest plots, funnel plots. This work follows PRISMA 2020 guidelines and incorporates sensitivity analyses, subgroup comparisons (e.g., isometric vs. eccentric tasks), and heterogeneity diagnostics (Q, I², τ²). The findings emphasize the value of physiological tremor analysis as a non-invasive indicator of acute neuromuscular state, with applications in sports science, rehabilitation, and motor control research.本数据集用于支撑题为《运动与抗阻训练对生理性震颤（physiological tremor）的急性调控：健康成人定量神经肌肉反应的荟萃分析（meta-analysis）》的研究。 本研究系统整合了各类身体负荷（包括抗阻训练与等长任务）对健康成人生理性震颤振幅与频率影响的实验数据，聚焦于经过验证的震颤评估指标，例如均方根（root mean square, RMS）振幅与峰值功率。本数据集收录了140项经筛选的研究记录，其中13项被纳入最终的定量整合分析。 采用随机效应模型的荟萃分析结果显示，运动后成人生理性震颤振幅总体呈显著降低趋势（Hedges’g = –0.42），其中抗阻训练方案的效应更为显著（Hedges’g = –1.03）。本次分析证实，震颤可作为反映急性运动单位活动、疲劳及中枢-外周驱动调控的敏感神经力学标志物。 本次上传的文件包括： - 补充表S4：140项经筛选研究的完整列表，附文献题录与方法学注释； - 补充表S1：偏倚风险评估（JBI量表）； - 补充表S2：证据等级评估（GRADE框架）； - PRISMA流程图：研究筛选流程记录文件； - 荟萃分析汇总文件：效应量、森林图与漏斗图。 本研究遵循PRISMA 2020报告规范，纳入了敏感性分析、亚组对比（如等长任务与离心任务对比）及异质性诊断（Q、I²、τ²）。本研究结果证实，生理性震颤分析可作为反映急性神经肌肉状态的无创指标，其应用场景涵盖运动科学、康复医学及运动控制研究领域。