Table 2.
Multivariate logistic regression models of the relationship of serum CML, sRAGE and esRAGE with anaemia in women, aged ≥65 years, in the Women's Health and Aging Study I in Baltimore, MDa
Model adjusted for age, race, | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
Model adjusted for age, race, | smoking, education, MMSE, | |||||||||
Model adjusted for age | smoking, education | chronic diseasesc | ||||||||
OR | 95% CI | P | OR | 95% CI | P | OR | 95% CI | P | ||
Serum CMLb (μg/mL) | 1.51 | 1.16–1.95 | 0.0018 | 1.50 | 1.15–1.97 | 0.003 | 1.47 | 1.11–1.95 | 0.008 | |
Serum sRAGEb (ng/mL) | 1.25 | 1.03–1.52 | 0.026 | 1.58 | 1.26–1.97 | <0.0001 | 1.52 | 1.21–1.92 | 0.0004 | |
Serum esRAGEb (ng/mL) | 1.22 | 1.01–1.47 | 0.048 | 1.56 | 1.24–1.94 | <0.0001 | 1.49 | 1.18–1.87 | 0.0006 |
aSeparate logistic regression models shown for serum CML, sRAGE and esRAGE in which anaemia is the dependent variable.
bOdds ratios are expressed per 1 SD change in serum CML, sRAGE and esRAGE, respectively.
cChronic diseases were hypertension, diabetes, chronic obstructive pulmonary disease and renal insufficiency.