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. Author manuscript; available in PMC: 2010 Feb 1.
Published in final edited form as: Eur J Nutr. 2008 Nov 24;48(1):38–44. doi: 10.1007/s00394-008-0757-0

Table 4.

Separate multivariate linear regression models of the cross-sectional relationship of plasma CML with estimated glomerular filtration rate in adults, aged ≥65 years, at enrollment in the InCHIANTI Study

Model adjusted for age, sex Model adjusted for age, sex, education, smoking, MMSE Model adjusted for age, sex, education, smoking, MMSE and chronic diseases3
Beta SE P Beta SE P Beta SE P
Plasma CML1,2 (ng/mL) All Subjects (n = 1008) -3.29 0.51 <0.0001 -3.24 0.51 <0.0001 -2.77 0.51 <0.0001
Subjects Without Diabetes (n = 879) -3.20 0.53 <0.0001 -3.17 0.53 <0.0001 -2.98 0.54 <0.0001
Subjects Who Were Current Nonsmokers (n = 871) -3.32 0.56 <0.0001 -3.30 0.56 <0.0001 -2.73 0.56 <0.0001
1

Separate multivariate linear regression models shown for plasma CML in which estimated glomerular filtration rate (mL/min/1.73 m2) is the dependent variable.

2

Beta expressed per 1 SD of plasma CML (1 SD = 110 ng/mL).

3

Chronic diseases were congestive heart failure, stroke, depression, and cancer.