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

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

	Countries with high GDP, n = 1503 OR (95%CI)	Countries with low GDP, n = 856 OR (95%CI)
Age^a (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 education^a
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)

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
Abbreviations: OR odds ratio, CI confidence interval, mHAQ modified health assessment questionnaire, DAS28 28-joint Disease Activity Scale
^aSignificant interaction with GDP (GDP ≤20,000, high; GDP >20,000, low)

ISSN: 1478-6362