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Table 2 Results of the multivariable binary logistic regression model predicting poststroke pain three months after stroke, no. Of patients 4069

From: Predicting pain and its association with mortality in patients with stroke

Variables

OR

95% CI

P values

Male sex

0.60

0.53

0.69

< 0.001

Born in Sweden

0.55

0.46

0.66

< 0.001

High income

0.78

0.68

0.89

< 0.001

Smoking

1.15

0.95

1.40

0.14

Light intensity PA

0.73

0.63

0.84

< 0.001

Moderate to high intensity PA

0.56

0.43

0.74

< 0.001

Antiplatelet use

1.18

1.01

1.37

0.04

Atrial fibrillation

0.90

0.77

1.05

0.18

Diabetes

1.25

1.06

1.48

< 0.05

Neuro interventional therapy

0.80

0.67

0.96

< 0.05

Hemiparesis

1.26

1.08

1.48

< 0.01

Sensory deficit

1.50

1.27

1.77

< 0.001

Need of assistance before stroke

1.27

1.05

1.54

< 0.05

  1. Note: All variables represent the presence of the condition or characteristic
  2. PA, Physical activity before stroke. Odds ratios and 95% confidence intervals (CI) were calculated using a multivariable binary logistic regression model. AUC (95% CI), 0.65 (0.64–0.68). Akaike information criteria, 5315