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Sørensen test performance is driven by different physiological and psychological variables in participants with and without recurrent low back pain
- Source :
- Journal of Electromyography and Kinesiology. 44:1-7
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Time to task failure (TTF) on the Sørensen test predicts low back pain (LBP), but mechanisms driving TTF may vary in those with and without recurrent LBP. To determine the physiological and psychological predictors of TTF, 48 sex, age, and BMI matched participants (24 Healthy, 24 LBP) completed psychological surveys, maximal strength assessments, and the Sørensen test. A two-way ANOVA revealed no significant effects of group (p = 0.75) or sex (p = 0.21) on TTF. In the full sample, linear regression analyses revealed that normalized Median Power Frequency (MPF) slope of the Erector Spinae (β = 0.350, p 0.01), the Biceps Femoris (β = 0.375, p 0.01), and self-efficacy (β = 0.437, p 0.01) predicted TTF. In the Healthy group, normalized MPF slope of the Erector Spinae (β = 0.470, p 0.01), the Biceps Femoris (β = 0.437, p 0.01), and self-efficacy (β = 0.330, p = 0.02) predicted TTF. In the LBP group, trunk mass (β = -0.369, p = 0.04) and self-efficacy (β = 0.450, p = 0.02) predicted TTF. In sum, self-efficacy consistently predicts performance, while trunk mass appears to negatively influence TTF only for those with recurrent LBP.
- Subjects :
- Adult
Male
endocrine system
medicine.medical_specialty
Power frequency
Biophysics
Neuroscience (miscellaneous)
03 medical and health sciences
0302 clinical medicine
Isometric Contraction
Linear regression
Maximal strength
Humans
Medicine
Muscle, Skeletal
business.industry
030229 sport sciences
Middle Aged
respiratory system
Low back pain
Full sample
Case-Control Studies
Muscle Fatigue
Physical Endurance
Physical therapy
Female
Test performance
Neurology (clinical)
Analysis of variance
medicine.symptom
business
Recurrent Low Back Pain
Low Back Pain
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 10506411
- Volume :
- 44
- Database :
- OpenAIRE
- Journal :
- Journal of Electromyography and Kinesiology
- Accession number :
- edsair.doi.dedup.....3e4a36ca34b63daa1bdfff282232fb0c
- Full Text :
- https://doi.org/10.1016/j.jelekin.2018.11.006