Faculty of Physiotherapy, University School of Physical Education in Wrocław, Al Ignacego Jana Paderewskiego 35, 51-612, Wrocław, Poland.
Faculty of Physiotherapy, University School of Physical Education in Wrocław, Al Ignacego Jana Paderewskiego 35, 51-612, Wrocław, Poland.
Complement Ther Clin Pract. 2021 Aug;44:101439. doi: 10.1016/j.ctcp.2021.101439. Epub 2021 Jul 5.
Active treatments focused on improvement in motor function are postulated in chronic low back patients (CLBP).
to establish the acute effects of PNF exercise on the postural control strategy.
The sway of the body was tested before intervention in fifty-three CLBP patients and after that participants were randomly assigned into the intervention PNF group (n = 25). Mean velocity (VEL) and sample entropy (SEn), over the center of pressure in the mediolateral (ML) and anterior-posterior (AP) planes served to estimate the postural strategy and automaticity levels in the neuromuscular controller. Tandem and one-leg standing tests (OLST) with eyes open and eyes closed were used.
Pain intensity decreased after the intervention. The VEL was no longer vision-dependent in both planes. The SEn decreased immediately after the exercise and either returned to or even exceeded the baseline values in the OLST ML plane.
A single session of PNF exercise may have a beneficial effect on pain and postural control in CLBP patients. The statistically significant pain relief combined with newly acquired better control of posture may have encouraged the PNF group participants to a subconscious exploration of the stability area. Postural movements were more automatized in OLST in the delayed test.
针对慢性下腰痛患者(CLBP)的运动功能改善的主动治疗方法已被提出。
确定本体感觉神经肌肉促进法(PNF)练习对姿势控制策略的急性影响。
在 53 例 CLBP 患者进行干预前测试了身体摆动,之后参与者被随机分配到干预 PNF 组(n=25)。中压在前后(AP)和前后(AP)平面上的均值速度(VEL)和样本熵(SEn)用于估计姿势策略和自动控制器中的自动控制器水平。使用睁眼和闭眼的串联和单腿站立测试(OLST)。
干预后疼痛强度降低。在两个平面上,VEL 不再依赖于视觉。在运动后,SEn 立即降低,OLST ML 平面中的值要么恢复到基线值,要么甚至超过基线值。
单次 PNF 运动可能对 CLBP 患者的疼痛和姿势控制有有益的影响。有统计学意义的疼痛缓解与新获得的更好的姿势控制相结合,可能鼓励 PNF 组参与者潜意识地探索稳定区域。在延迟测试中,OLST 中的姿势运动更加自动化。