Table 3.

Multivariate sub-analysis of factors associated with employment and education in 242 transfused adults with thalassemia

	Adjusted OR	95% CI
Non-employment in Adults
Race
Asian vs. White	2.67	[1.18,6.04]
Other vs. White	1.26	[0.42,3.78]
Chelation Status: DFO or L1
Not Regular vs. Regular	6.67	[1.96, 25.0]
Liver Failure
Yes vs. No	7.86	[2.14,28.8]
HIV
Positive vs. Negative	9.45	[1.61, 55.5]
Education in Adults
Age (in 10 year increments)	1.61	[1.10,2.35]
Gender
Female vs.Male	2.38	[1.37,4.17]
Chelation Status: DFO or L1
Regular vs. Not regular	3.87	[1.36, 11.0]
Most recent serum ferritin Level
>= 2500 vs. < 2500	0.71	[0.40, 1.27]

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 multivariatemodels. 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.