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Table 3 Univariate linear or logistic regression analysis

From: Is there a relationship between self-efficacy, disability, pain and sociodemographic characteristics in chronic low back pain? A multicenter retrospective analysis

Linear regression models associated to PSEQ Regression Coefficient std.error p.value 95% CIs R2, %
 Sex = female −3.428 1.552 0.028 −6.481 −0.375 1.6
 Drugs −5.156 1.494 0.001 −8.097 −2.216 3.7
Logistic regression models associated to PSEQ > 40 Odds Ratio std.error p.value 95% CIs AIC
 Sex = female 1.8 0.242 0.015 1.121 2.899 404.4
 Drugs 1.685 0.239 0.029 1.056 2.7 402.6
Linear regression models associated to NRS Regression Coefficient std.error p.value 95% CIs R2, %
 Educational level [1–4] −0.471 0.147 0.001 −0.76 −0.182 3.3
 Smokers 0.56 0.24 0.021 0.087 1.033 1.7
 Height [cm] −0.026 0.012 0.036 −0.05 −0.002 1.7
 Drugs 0.81 0.209 < 0.001 0.399 1.221 4.7
Linear regression models associated to RMDQ Regression Coefficient std.error p.value 95% CIs R2, %
 AGE [yrs] 0.066 0.028 0.02 0.01 0.121 3.3
 Sex = female 1.802 0.753 0.018 0.315 3.288 3.4
 Educational level [1–4] −1.684 0.458 < 0.001 −2.589 −0.779 7.6
 Height [cm] −0.08 0.04 0.045 −0.158 −0.002 2.4
 Pain duration [mos] 0.011 0.005 0.041 0 0.021 2.6
 Drugs 2.855 0.716 < 0.001 1.44 4.27 8.9