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Table 6 Univariate and multivariate regression analysis with demographic factors as independent variables and FABQ-W as the dependent variable in sick-listed patients with neck or back pain

From: Fear–avoidance beliefs associated with perceived psychological and social factors at work among patients with neck and back pain: a cross-sectional multicentre study

 

Univariate analysis

Multivariate analysis

Independent variables

β

95% CI for β

p value

β

95% CI for β

p value

Age (increase of 9.8 yr.)*

-1.44

-2.46 to -0.41

0.006

-1.15

-2.15 to -0.15

0.025

Gender (men vs. women)

4.20

2.17–6.23

< 0.001

3.02

0.93–5.10

0.005

Education (high vs. low education)

-3.99

-6.27 to -1.71

0.001

-0.96

-3.70 to 1.77

0.49

Low-skilled white-collar (vs. blue-collar)

-0.86

-3.05 to 1.33

0.44

   

High-skilled white-collar (vs. blue-collar)

-5.15

-7.41 to -2.89

< 0.001

-3.39

-6.16 to -0.62

0.016

  1. Both univariate and multivariate regression coefficients are given. Only independent variables with p < 0.2 in the univariate analyses are included in multivariate analysis.
  2. *For continuous variables, β coefficient is given for an increase in the variable of 1 SD. SD Standard Deviation, CI Confidence Interval.