Effects of Manipulative Therapy and Pain Education in Individuals With CLBP

Overview

The burden of low back pain more than doubled in the last 20 years, probably caused by biopsychosocial factors. Some noninvasive treatments have been applied in individuals with chronic nonspecific low back pain as spinal manipulation and pain education. However, it is not already clear the neurophysiological effects of these treatments.The purpose of this research is to verify the effects of the technique of spinal manipulation and pain education in individuals with chronic low back pain

The outcomes will be subjective pain (measured by Numeric Pain Rating Scale), pressure pain threshold (measured by Algometer), disability (measured by Roland-Morris Disability Questionnaire), fear and avoidance beliefs (measured by Fear Avoidance Beliefs Questionnaire), risk of poor prognosis (measured by STarT Back Screening Tool), quality of life (measured by Short Form-12v2) and blood biomarkers (measured by ELISA). The data will be collected by a blinded assessor. Individuals eligibility is going to be assessed by blinded assessor to determine if they are or not eligible for this research. Then, they will be informed about the objectives of this study and asked to sign the consent form. Afterward, the sociodemographic data will be recorded. The data related to the research outcomes will be collected by the blinded assessor at baseline assessment, after six weeks and three months. Random Allocation Before the treatment begins, one of the researchers not involved in the recruiting and assessment will allocate the individuals in one of the groups. Block randomization will be used; it is going to generate by randomization.com, this site will create a list with the randomization sequence, which will be only seen by the physical therapists that will treat the individuals. Statistical Methods Sample size calculation The sample size calculation was calculated with the A-priori test with the following specifications: Statistical test ANCOVA, the effect size of 0.25, the statistical power of 80%, and an alpha level of 5%. As a result, the study requires a sample size of 64 per group or 128 individuals in total. Analysis of effects of treatment Our research will use the intention-to-treat principles. The descriptive data and the scores of RMDQ, SBST, FABQ, SF-12v2 and NPRS as well as the pressure pain threshold means and the values of inflammatory biomarkers, before and after interventions, will be tabbed on Microsoft Excel 2010. To see the effect of treatment is going to be used statistical based on intention-to-treat principles, statistical analyses will be used to analyses data of individuals socio-demographics and clinics characteristics, and they will be presented by mean and standard deviation. To compare the groups, Shapiro-Wilk test will be applied to test the normality distribution of data, depending on this distribution will be used ANOVA one-way for parametric data or Kruskal-Wallis test for non-parametric data. To compare groups on the pre-intervention period another ANOVA-one way or another Kruskal-Wallis will be applied. Covariance analysis (ANCOVA) will be conducted to assess the effect of treatment on the following outcomes: Scores obtained on RMDQ, FABQ, SF-12v2, SBST and NPRS, pressure pain threshold and the blood biomarkers concentrations, utilizing the post-treatment means as dependent variables, the pre-treatment means as co-variables and the group as fixed factor. To the relationships among the variables must be applied the Pearson correlation coefficient to parametric data and Spearman correlation coefficient to nonparametric data. To classify the relationships will be used the Munro's classification, where values between 0.26 and 0.49 will be low, values between 0.50 and 0.69 will be moderate, between 0.70 and 0.89 will be high values, and between 0.90 and 1.0 will be considered very high. For all of these analyses will be used the Statistical Package for the Social Sciences (IBM SPSS version 20.0, IBM Corp, Armonk, New York).

Conditions

Interventions

Eligibility

Locations (1)

Outcomes