Table 3.

Multivariate logistic regression model for microalbuminuria in National Health and Nutrition Examination Surveys (NHANES) 1999 to 2004

Variable	Demographic Factors Adjusted (AUC = 0.70)		Multivariables Adjusted* (AUC = 0.75)
	OR (95% CI)	p Value	OR (95% CI)	p Value
Age (yrs)	1.04 (1.03–1.04)	<0.0001	1.01 (1.10–1.02)	<0.0001
Women	1.05 (0.93–1.18)	0.44
White†	0.59 (0.50–0.69)	<0.0001	0.73 (0.62–0.87)	0.0003
Low education‡			1.16 (1.0–1.35)	0.05
Current smoker			1.43 (1.21–1.69)	<0.0001
History of heart failure			1.53 (1.20–1.93)	0.0005
Body mass index			1.00 (0.98–1.01)	0.49
Systolic blood pressure			1.02 (1.02–1.03)	<0.0001
Diabetes mellitus			3.41 (2.75–4.23)	<0.0001
Peripheral vascular disease			1.40 (1.04–1.88)	0.026
Anemia			1.51 (1.05–2.15)	0.025
CRP	1.02 (1.01–1.03)	<0.0001	1.02 (1.01–1.02)	0.0003

All results were from weighted analyses to account for complex survey design.

^*Significant predictors or suspected confounders selected a priori are included in the final model, n = 802 participants were not included due to missing covariates.

^†There is no difference among African-American, Hispanic, and other races; therefore, these are combined into 1 group (reference).

^‡Education was used instead of income for socioeconomic status because income had high missing data.