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. 2023 Nov 29;12(23):7391. doi: 10.3390/jcm12237391

Table A1.

Subgroup analysis with benefit status added to the final logistic regression model for work ability 12 months after rehabilitation, n = 834.

OR (95% CI) p-Value
Independent variable
Age
   18–39 years a 1.0
   40–49 years 1.10 (0.48, 2.52) 0.82
   50–59 years 3.04 (1.44, 6.40) 0.003
   60–66 years 1.65 (0.67, 4.08) 0.28
Diagnosis
   Other a 1.0
   Rheumatic and musculoskeletal diseases 1.04 (0.55, 1.96) 0.90
   Cancer 0.40 (0.18, 0.88) 0.02
Comorbidities
   None a 1.0
   1–2 0.74 (0.29, 1.86) 0.52
   3–4 0.77 (0.29, 1.99) 0.58
   5 or more 0.42 (0.12, 1.45) 0.17
Pain intensity
   0–5 a 1.0
   6–7 0.54 (0.31, 0.95) 0.03
   8–10 0.78 (0.39, 1.59) 0.50
EQ-5D VAS
   0–39 a 1.0
   40–55 2.96 (1.61, 5.43) <0.001
   56–100 4.17 (2.15, 8.09) <0.001
Marital status
   Single a 1.0
   Married/cohabiting 0.64 (0.39, 1.07) 0.09
Benefit status
   Disability pension a 1.0
   Work assessment allowance 1.40 (0.49, 3.96) 0.53
   Sick leave 9.95 (3.90, 25.39) <0.001

Work ability score (WAS) as dependent variable, dichotomized into low/moderate and good/excellent. CI: confidence interval. OR: Odds ratio. EQ-5D: EuroQol 5 dimensions. VAS: Visual analogue scale (100 = best). OR adjusted for age, gender, region, diagnosis, comorbidities and baseline work ability. a Reference category. Bold indicates p < 0.05. Pseudo R2 = 0.23.