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Table 2 Association of individual sociodemographic and clinical characteristics with being employed, stratified by gross domestic product (GDP)

From: Large country differences in work outcomes in patients with RA – an analysis in the multinational study COMORA

  Countries with high GDP, n = 1503
OR (95%CI)
Countries with low GDP, n = 856
OR (95%CI)
Agea (years) 0.97 (0.95; 0.98) 0.99 (0.97; 1.01)
Gender (female vs. male)a 0.44 (0.33; 0.60) 0.25 (0.16; 0.41)
Level of educationa
 Low vs. high 0.50 (0.36; 0.69) 0.18 (0.11; 0.27)
 Medium vs. high 0.79 (0.61; 1.02) 0.39 (0.25; 0.59)
mHaq (0–3) 0.53 (0.42; 0.67) 0.94 (0.70; 0.91)
DAS28 0.89 (0.81; 0.97) 0.80 (0.70; 0.91)
Rheumatic Disease Comorbidity Index (0–8)a 0.89 (0.81; 0.97) 10.80 (0.70; 0.91)
  1. Results are from multivariable logistic regression analysis. Low GDP-countries: Morocco, Egypt, Venezuela, Uruguay, Argentina, Hungary. High GDP-countries: Italy, Spain, Korea, Japan, France, United Kingdom, Taiwan, Germany, Austria, the Netherlands, United States of America
  2. Abbreviations: OR odds ratio, CI confidence interval, mHAQ modified health assessment questionnaire, DAS28 28-joint Disease Activity Scale
  3. aSignificant interaction with GDP (GDP ≤20,000, high; GDP >20,000, low)