Table 2.

Univariable and multivariable linear regression analysis of the association between BMI and obesity with clinical outcome.

Dependent VariablesPredicting VariablesUnivariable Analysis, B (95% CI)pMultivariable Analysis*, B (95% CI)p
BASDAIBMI0.056 (0.011–0.101)0.0140.047 (−0.004–0.099)0.072
Obesity0.841 (0.341–1.341)0.0010.629 (0.080–1.179)0.025
ASDASBMI0.036 (0.016–0.057)< 0.0010.033 (0.010–0.057)0.005
Obesity0.526 (0.299–0.752)< 0.0010.497 (0.248–0.746)< 0.001
CRP (log)BMI0.015 (0.006–0.023)0.0010.017 (0.007–0.026)0.001
Obesity0.186 (0.092–0.279)< 0.0010.231 (0.130–0.333)< 0.001
ESR (log)BMI0.013 (0.005–0.021)0.0030.013 (0.003–0.022)0.009
Obesity0.116 (0.020–0.211)0.0170.118 (0.015–0.220)0.024
BASFIBMI0.133 (0.083–0.183)< 0.0010.073 (0.019–0.128)0.009
Obesity1.609 (1.056–2.163)< 0.0011.040 (0.460–1.619)< 0.001
ASQoLBMI0.147 (0.042–0.252)0.0060.086 (−0.031–0.204)0.150
Obesity2.891 (1.744–4.038)< 0.0012.157 (0.878–3.435)0.001
  • * Adjusted for age, sex, symptom duration, HLA-B27 status, and comorbidity. BMI: body mass index; BASDAI: Bath Ankylosing Spondylitis Disease Activity Index; ASDAS: Ankylosing Spondylitis Disease Activity Score; CRP: C-reactive protein; ESR: erythrocyte sedimentation rate; BASFI: Bath Ankylosing Spondylitis Functional Index; ASQoL: Ankylosing Spondylitis Quality of Life questionnaire.