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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