Denkowski K M, Denkowski G C, Omizo M M
Biofeedback Self Regul. 1984 Jun;9(2):253-64. doi: 10.1007/BF00998839.
EMG biofeedback training is continuing to evolve as a promising treatment of hyperactivity. But while research on its application suggests that this technique induces significantly lower EMG levels in experimental samples as a whole, it also discloses that some children evidence but limited reductions. Most likely, this variability is introduced by differences in subject attributes. This study assessed that prospect by examining whether four common subject characteristics correlated with the extent of decrease in EMG level achieved by 59 hyperactive school-aged boys. Those variables were pretreatment EMG level, age degree of hyperactivity, and locus of control. Number of applications or training sessions was included as the fifth predictor. A multiple regression analysis determined that only locus of control was predictive of success in EMG training; however, it accounted for 72% of the variance. Implications of these findings are discussed.
肌电图生物反馈训练作为一种治疗多动症的有前景的方法，仍在不断发展。然而，尽管对其应用的研究表明，从总体实验样本来看，该技术能显著降低肌电图水平，但研究也表明，一些儿童的肌电图水平仅有有限的降低。这种差异很可能是由个体属性的不同导致的。本研究通过考察59名患有多动症的学龄男孩的四个常见个体特征是否与肌电图水平降低程度相关，来评估这一可能性。这些变量包括治疗前肌电图水平、年龄、多动程度和控制点。训练应用次数或训练疗程数作为第五个预测因素。多元回归分析确定，只有控制点能预测肌电图训练的成功；然而，它解释了72%的方差。本文讨论了这些研究结果的意义。
