临床研究

青年女性疲劳诱发试验后腰部肌肉疲劳与疼痛发生的关系

  • 陈睿 ,
  • 周珊瑶 ,
  • 李洋 ,
  • 佘燕玲 ,
  • 史华彩 ,
  • 郭隽 ,
  • 黎程
展开
  • 广东省第二人民医院,广东省传统医学与运动伤害康复研究所,广东广州市 510317。
陈睿(1981-),男,汉族,广东广州市人,硕士,助理研究员、主治医师,主要研究方向:运动系统损伤康复的临床与基础研究。

收稿日期: 2017-06-06

  修回日期: 2017-06-26

  网络出版日期: 2017-10-10

基金资助

1.广东省科技计划项目(No.20130319c); 2.广东省医学科学技术研究基金项目(No.A2016612); 3.广东省第二人民医院科研基金项目(No.YQ2015-018)

Relationship between Lumbar Muscle Fatigue and Pain after Fatigue Induced Test in Young Women

  • CHEN Rui ,
  • ZHOU Shan-yao ,
  • LI Yang ,
  • SHE Yan-ling ,
  • SHI Hua-cai ,
  • GUO Jun ,
  • LI Cheng
Expand
  • Guangdong Traditional Medical and Sports Injury Rehabilitation Research Institute, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510317, China

Received date: 2017-06-06

  Revised date: 2017-06-26

  Online published: 2017-10-10

摘要

目的探讨疲劳诱发试验中肌肉疲劳与疼痛发生的相关性。方法2016年7月至10月,招募21例青年女性健康志愿者进行疲劳诱发试验,采集试验前、试验过程中和试验后表面肌电信号的均方根(RMS)和中值频率(MF),采用Borg疲劳量表、疲劳视觉模拟评分(VAS)评价疲劳程度,测定最大自主收缩力(MVC)、压力疼痛阈值(PPT)等数据。根据试验后是否诱发疼痛分为两组,比较试验前后差值。结果Borg疲劳量表评分、疲劳VAS评分、MVC、RMS和MF在疲劳诱发前后有非常高度显著性差异(Z>6.064, P<0.001)。两组间疲劳诱发试验前各项指标无显著性差异,试验前后VAS评分差(t=-4.112, P=0.001)、部分测试点RMS差(t>2.385, P<0.05)有显著性差异;接受者操作特征曲线分析显示疲劳VAS评分差预测疼痛发生的最佳临界点为3.45,敏感性100%,特异性81.8%。结论疲劳诱发试验中,疲劳VAS评分差对疼痛发生有一定的预测价值;RMS差与疼痛发生存在一定关联;未发现Borg疲劳量表和PPT在预测疼痛发生中的价值。

本文引用格式

陈睿 , 周珊瑶 , 李洋 , 佘燕玲 , 史华彩 , 郭隽 , 黎程 . 青年女性疲劳诱发试验后腰部肌肉疲劳与疼痛发生的关系[J]. 中国康复理论与实践, 2017 , 23(9) : 1099 -1103 . DOI: 10.3969/j.issn.1006-9771.2017.09.023

Abstract

ObjectiveTo explore the relationship between muscle fatigue and pain in lumbar muscle fatigue induced test. MethodsFrom July to October, 21 healthy female volunteers were subjected to the fatigue induced test. Their root mean square (RMS) and median frequency (MF) of the surface electromyography were collected, their fatigue were assessed with Borg Fatigue Scale and Visual Analogue Scale (VAS), and their maximal voluntary contraction (MVC) and pressure pain threshold (PPT) were measured, before, during and after experiment. They were divided into pain or no-pain groups according to the symptom, and the differences before and after test were compared. ResultsThere was significant difference in the scores of Borg Fatigue Scale and VAS, MVC, RMS, and MF after test (Z>6.064, P<0.001). There was significant difference between two groups in all the data before test, and there was significant difference between two groups in the difference before and after test of the VAS score (t=-4.112, P=0.001) and RMS (t>2.385, P<0.05) in some points. Receiver operating characteristic curve analysis showed that the optimal cut-off point of VAS score difference was 3.45 in predicting the pain onset, with sensitivity of 100% and specificity of 81.8%. ConclusionFor the fatigue induced test, the fatigue VAS score difference may predict the induced pain, and RMS difference associate with the occurrence of pain. No significant is observed of the Borg Fatigue Scale and PPT.

参考文献

[1] Froud R, Patterson S, Eldridge S, et al. A systematic review and meta-synthesis of the impact of low back pain on people's lives [J]. BMC Musculoskelet Disord, 2014, 15: 50.
[2] Yang H, Haldeman S, Lu M, et al. Low back pain prevalence and related workplace psychosocial risk factors: a study using data from the 2010 National Health Interview Survey [J]. J Manipulative Physiol Ther, 2016, 39(7): 459-472.
[3] Carregaro R, Falcao J, Massuda K, et al. Postural analysis and psychosocial measurements of federal civil servants of an institution of higher education [J]. Work, 2012, 41(Suppl 1): 4795-4800.
[4] Maher C, Underwood M, Buchbinder R. Non-specific low back pain [J]. Lancet, 2017, 389(10070): 736-747.
[5] 王凯,闵少雄,徐新毅,等. 非特异性腰痛预测评分方法的构建[J]. 中国疼痛医学杂志, 2016, 22(3): 235-238.
[6] Jubany J, Marina M, Angulo-Barroso R. Electromyographic and kinematic analysis of trunk and limb muscles during a holding task in individuals with chronic low back pain and healthy controls [J]. PM R, 2017. doi:10.1016/j.pmrj.2017.04.008.
[7] Bauer CM, Rast FM, Ernst MJ, et al. The effect of muscle fatigue and low back pain on lumbar movement variability and complexity [J]. J Electromyogr Kinesiol, 2017, 33: 94-102.
[8] Jubany J, Danneels L, Angulo-Barroso R. The influence of fatigue and chronic low back pain on muscle recruitment patterns following an unexpected external perturbation [J]. BMC Musculoskelet Disord, 2017, 18: 161.
[9] 张丽,李文源. 青年骨量减少危险因素的Logistic回归分析[J]. 南方医科大学学报, 2011, 31(6): 1078-1080.
[10] Lindgren I, Jonsson AC, Norrving B, et al. Shoulder pain after stroke: a prospective population-based study [J]. Stroke, 2007, 38(2): 343-348.
[11] Boucher J, Abboud J, Nougarou F, et al. The Effects of vibration and muscle fatigue on trunk sensorimotor control in low back pain patients [J]. PLoS One, 2015, 10(8): e0135838.
[12] Moseley GL, Hodges PW. Reduced variability of postural strategy prevents normalization of motor changes induced by back pain: a risk factor for chronic trouble? [J]. Behav Neurosci, 2006, 120(2): 474-476.
[13] Shin G, D'Souza C, Liu YH. Creep and fatigue development in the low back in static flexion [J]. Spine (Phila Pa 1976), 2009, 34(17): 1873-1878.
[14] 陈景农,王健. 静态负荷表面肌电信号功率谱的二维地形图分析[J]. 中华劳动卫生职业病杂志, 2001, 19(3): 13-15.
[15] 王乐军,陆爱云,范年春,等. 表面肌电信号指标评价低负荷等长收缩诱发屈肘肌疲劳的敏感性和稳定性分析[J]. 中国运动医学杂志, 2013, 32(2): 117-123.
[16] 王健,方红光,刘加海. 表面肌电信号分析:下腰痛研究中的新方法[J]. 中国康复医学杂志, 2004, 19(8): 67-70.
[17] 杨红春,王健,张海红. 等长收缩诱发肌肉疲劳及恢复过程中表面肌电信号特征变化规律[J]. 生物物理学报, 2005, 21(5): 64-69.
[18] 于瑞,王楚怀,潘翠环,等. 悬吊运动疗法治疗慢性非特异性下腰痛后站立位腰屈伸运动表面肌电信号的变化[J]. 中国康复理论与实践, 2015, 21(8): 943-946.
[19] Hu Y, Kwok JW, Tse JY, et al. Time-varying surface electromyography topography as a prognostic tool for chronic low back pain rehabilitation [J]. Spine J, 2014, 14(6): 1049-1056.
[20] 冯能,李跃红,缪芸,等. 慢性腰痛患者站立位躯干屈伸运动时腰背肌的功能变化研究[J]. 中国康复医学杂志, 2012, 27(7): 600-604.
[21] 宋海新,魏爽,李建华,等. 关于下背痛患者腰部多裂肌表面肌电信号与肌肉横断面积的研究分析[J]. 中华物理医学与康复杂志, 2016, 38(4): 297-299.
[22] Li KW, Yu R. Assessment of grip force and subjective hand force exertion under handedness and postural conditions [J]. Appl Ergon, 2011, 42(6): 929-933.
[23] Starkweather AR, Heineman A, Storey S, et al. Methods to measure peripheral and central sensitization using quantitative sensory testing: A focus on individuals with low back pain [J]. Appl Nurs Res, 2016, 29: 237-241.
[24] Blumenstiel K, Gerhardt A, Rolke R, et al. Quantitative sensory testing profiles in chronic back pain are distinct from those in fibromyalgia [J]. Clin J Pain, 2011, 27(8): 682-690.
[25] O'Neill S, Manniche C, Graven-Nielsen T, et al. Association between a composite score of pain sensitivity and clinical parameters in low-back pain [J]. Clin J Pain, 2014, 30(10): 831-838.
[26] Neill SO, Kjær P, Graven-Nielsen T, et al. Low pressure pain thresholds are associated with, but does not predispose for, low back pain [J]. Eur Spine J, 2011, 20(12): 2120-2125.
文章导航

/