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Table 5 Single and multiple regression analysis relative to bodily pain a

From: The effect of low back pain and neck-shoulder stiffness on health-related quality of life: a cross-sectional population-based study

Logistic regression (Bodily pain)

 

B

β

95% CI

P value

NSS alone

Crude

−2.282

−0.103

−3.573 to −0.992

0.001

Adjusted

−1.600

−0.073

− 2.906 to − 0.293

0.016

LBP alone

Crude

4.275

0.170

2.823 to 5.728

< 0.001

Adjusted

3.587

0.143

2.126 to 5.047

< 0.001

Comorbid

Crude

5.055

0.249

3.901 to 6.209

< 0.001

Adjusted

−4.939

0.243

3.791 to 6.087

< 0.001

  1. B, unstandardized regression coefficient; β, standardized regression coefficient: r2, coefficient of determination (adjusted)
  2. aSingle and forced entry multiple regression analysis was performed using bodily pain as the dependent variable and age, Gender, BMI, selected potential confounders (hypertension, antihypertensive medication, and sleeping pills medications), the prevalence of NSS, LBP alone, and comorbid NSS/LBP as independent variables