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. Author manuscript; available in PMC: 2011 Mar 1.
Published in final edited form as: J Ren Nutr. 2009 Oct 22;20(2):74–81. doi: 10.1053/j.jrn.2009.08.001

Table 2.

Multivariate logistic regression models of the relation of serum CML with chronic kidney disease in men and women in the Baltimore Longitudinal Study of Aging*

Model adjusted for age, race Model adjusted for age, race,
smoking		 Model adjusted for age, race,
smoking, and chronic diseases‡
OR 95% CI P OR 95% CI P OR 95%CI P
Serum
CML†
(μg/mL) 		All participants
(n = 750) 		1.36 1.11-1.66 0.003 1.36 1.11-1.66 0.003 1.37 1.11-1.67 0.003
Non-diabetic
participants
(n = 706) 		1.39 1.27-1.71 0.002 1.39 1.13-1.71 0.002 1.38 1.12-1.70 0.003
*

Separate logistic regression models shown for serum CML in which chronic kidney disease (defined as estimated glomerular filtration rate <60 mL/min/1.73 m2) is the dependent variable.

†

Odds ratios expressed per 1 SD of serum CML (1 SD = 0.13 μg/mL).

‡

Chronic diseases were hypertension, angina, myocardial infarction, congestive heart failure, diabetes, and cancer.