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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