The Standardised Mensendieck Test as a tool for evaluation of movement quality in patients with nonspecific chronic low back pain

2018 ◽  
Vol 18 (2) ◽  
pp. 203-210 ◽  
Author(s):  
Mette Bøymo Kaarbø ◽  
Gro Killi Haugstad ◽  
Audun Stubhaug ◽  
Slawomir Wojniusz

Abstract Background and aims: Nonspecific chronic low back pain is a multifactorial biopsychosocial health problem where accurate assessments of pain, function and movement are vital. There are few reliable and valid assessment tools evaluating movement quality, hence the aim was to investigate nonspecific chronic low back pain patients’ movement patterns with the Standardised Mensendieck Test. Methods: Twenty patients (mean age=41, SD=9.02) with nonspecific chronic low back pain were examined with the Standardised Mensendieck Test whilst being videotaped and compared with 20 healthy controls. A physiotherapist, blinded to participant’s group belonging, scored Standardised Mensendieck Test videos according to the standardised manual. Associations between movement quality, fear of movement and re(injury) i.e. kinesiophobia and pain intensity were also investigated. Results: Patients scored significantly poorer than the controls in all 5 Standardised Mensendieck Test domains (p<0.001). The biggest difference was observed with regard to movement pattern domain. In women we also found a difference in the respiration pattern domain. Conclusions: The Standardised Mensendieck Test was able to detect significant differences in quality of movement between patients and healthy controls. These results indicate that the Standardised Mensendieck Test may be a valuable examination tool in assessment and treatment of nonspecific chronic low back pain patients. Further, longitudinal studies should investigate whether poor movement and respiration patterns are important factors in nonspecific chronic low back pain, e.g. as predictors and/or mediators of therapeutic effects.

2014 ◽  
Vol 32 (2) ◽  
pp. 102-108 ◽  
Author(s):  
Ji Li ◽  
Jun-Hai Zhang ◽  
Tao Yi ◽  
Wei-Jun Tang ◽  
Song-Wei Wang ◽  
...  

Background Acupuncture is gaining in popularity as a treatment for chronic low back pain (cLBP); however, its therapeutic mechanisms remain controversial, partly because of the absence of an objective way of measuring subjective pain. Resting-state functional MRI (rsfMRI) has demonstrated aberrant default mode network (DMN) connectivity in patients with chronic pain, and also shown that acupuncture increases DMN connectivity in pain-modulator and affective-emotional brain regions of healthy subjects. Objective This study sought to explore how cLBP influences the DMN and whether, and how, the altered DMN connectivity is reversed after acupuncture for clinical pain. Methods RsfMRI data from 20 patients with cLBP, before and after 4 weeks of treatment, and 10 age- and gender-matched healthy controls (without treatment) were analysed using independent components analyses to determine connectivity within the DMN, and combined with correlation analyses to compute covariance between changes in DMN connectivity and changes in clinical pain. Visual analogue scale data were assessed to rate clinical pain levels. Results Less connectivity within the DMN was found in patients with cLBP than in healthy controls, mainly in the dorsolateral prefrontal cortex, medial prefrontal cortex, anterior cingulate gyrus and precuneus. After acupuncture, patients’ connectivities were restored almost to the levels seen in healthy controls. Furthermore, reductions in clinical pain were correlated with increases in DMN connectivity. Conclusions This result suggests that modulation of the DMN by acupuncture is related to its therapeutic effects on cLBP. Imaging of the DMN provides an objective method for assessment of the effects of acupuncture-induced analgesia.


Spine ◽  
2020 ◽  
Vol 45 (1) ◽  
pp. E37-E44
Author(s):  
Bruna Pilz ◽  
Rodrigo A. Vasconcelos ◽  
Paulo P. Teixeira ◽  
Wilson Mello ◽  
Isadora O. Oliveira ◽  
...  

2019 ◽  
Vol 24 (2) ◽  
pp. 325-337 ◽  
Author(s):  
Elizabeth N. Mutubuki ◽  
Mariette A. Luitjens ◽  
Esther T. Maas ◽  
Frank J. P. M. Huygen ◽  
Raymond W. J. G. Ostelo ◽  
...  

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