Table 2.

Multivariate Analysis of factors associated with employment and education in 327 adults with thalassemia

	Adjusted OR	95% CI
Non-employment
Race
Asian vs. White	2.76	[1.50,5.06]
Other vs. White	2.54	[1.20, 5.36]
Lung disease
Yes vs. No	8.03	[0.78,83.1]
Region
West vs. East	1.24	[0.57,2.67]
Mid vs. East	0.70	[0.17,2.95]
Canada vs. East	1.16	[0.64,2.10]
Education
Age	1.67	[1.29,2.15]
(in 10 year increment s)
Gender
Female vs.Male	2.08	[1.32,3.23]
Transfusion Status
≥ 8 / year vs. < 8 / year	2.06	[1.03, 4.10]
Chelation Status
Regular vs. Not	1.14	[0.56, 2.31]
Lung disease
Yes vs. No	0.07	[0.01, 0.49]

Possible predictors were age, gender, race/ethnicity, nationality, transfusion and chelation status, serum ferritin, and clinical complications(heart disease, liver failure or cirrhosis, lung disease, pulmonary hypertension, arthralgia or arthritis, HIV, osteoporosis/fracture, hypogonadism, thyroid disease, parathyroid disease, diabetes, Hep C ,stature). Predictors found significant in univariate analyses were entered into multivariate models. A logistic regression model was used for employment and a proportional odds model for education. OR = odds ratio. CI = confidence interval. The OR models the odds of non -employment (vs. employment) or higher education (post-college vs. college vs. high school vs. < high school). Significance at level 0.05 is indicated in bold type.