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Vol. 22. Num. 4.01 July 2018
Pages 255-344
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Vol. 22. Num. 4.01 July 2018
Pages 255-344
Original Research
DOI: 10.1016/j.bjpt.2018.06.005
Can demographic and anthropometric characteristics predict clinical improvement in patients with chronic non-specific low back pain?
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Indiara Soares Oliveira
Corresponding author
indiara.doc@gmail.com

Corresponding author at: Endereço:Rua Cesário Galeno 448, Tatuapé, CEP: 03071-000 São Paulo, Brazil.
, Leonardo Oliveira Pena Costa, Alessandra Narciso Garcia, Gisela Cristiane Miyamoto, Cristina Maria Nunes Cabral, Lucíola da Cunha Menezes Costa
Masters and Doctoral Program in Physical Therapy, Universidade Cidade de São Paulo (UNICID), São Paulo, SP, Brazil
Highlights

  • Gender, marital status, BMI, and duration of pain do not influence the prognosis of patients with chronic LBP.

  • Age has little influence on the clinical improvement of patients with chronic LBP after four weeks of treatment.

  • Physical therapists can predict the clinical improvement of their patients based on a simple assessment of their disability at baseline consultation. This model explains 42.1% of the variability.

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Table 1. Characteristics of the participants (n=616).
Table 2. Regression analysis for pain intensity after four weeks.
Table 3. Regression analysis for disability after four weeks.
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Abstract
Objective

To identify potential prognostic factors that may predict clinical improvement of patients treated with different physical therapy interventions in the short-term.

Methods

This is a prospective cohort study. A total of 616 patients with chronic non-specific low back pain treated with interventions commonly used by physical therapists were included. These patients were selected from five randomized controlled trials. Multivariate linear regression models were used to verify if sociodemographic characteristics (age, gender, and marital status), anthropometric variables (height, body mass, and body mass index), or duration of low back pain, pain intensity at baseline, and disability at baseline could be associated with clinical outcomes of pain intensity and disability four weeks after baseline.

Results

The predictive variables for pain intensity were age (β=0.01 points, 95% CI=0.00 to 0.03, p=0.03) and pain intensity at baseline (β=0.23 points, 95% CI=0.13 to 0.33, p=0.00), with an explained variability of 4.6%. Similarly, the predictive variables for disability after four weeks were age (β=0.03 points, 95% CI=0.00 to 0.06, p=0.01) and disability at baseline (β=0.71 points, 95% CI=0.65 to 0.78, p=0.00), with an explained variability of 42.1%.

Conclusion

Only age, pain at baseline and disability at baseline influenced the pain intensity and disability after four weeks of treatment. The beta coefficient for age was statistically significant, but the magnitude of this association was very small and not clinically important.

Keywords:
Clinical improvement
Treatment
Prognostic factors
Chronic non-specific low back pain

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