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. 2017 Jun 28;2017(1):109–119. doi: 10.1093/emph/eox010

Table 3.

Logistic regression models evaluating associations between iron status and DTH-Candidaa (reference: iron replete)

Model 1: crudea
Model 2: adjusted for identified confounding variablesb
Model 3: adjusted for all individual characteristicsc
OR 95% CI P-value aOR 95% CI P-value aOR 95% CI P-value
Outcome: DTH-Candida
    Iron deficient erythropoesis 1.14 0.65, 2.00 0.656 1.33 0.74, 2.39 0.340 1.40 0.70, 2.76 0.347
    Iron deficiency anemia 1.71 0.84, 3.48 0.139 2.34 1.08, 5.07 0.031 2.60 0.99, 6.85 0.053
    Non-iron deficiency anemia 1.14 0.56, 2.33 0.716 1.27 0.61, 2.63 0.516 1.39 0.60, 3.20 0.444
a

N = 283.

b

Controlling for age; N = 283.

c

Controlling for age, sex, triceps skinfold thickness, elevated biomarkers of inflammation, early weaning, home construction materials, and household cattle ownership; N = 219.

aOR, adjusted odds ratio; CI, confidence interval; DTH-Candida, delayed-type hypersensitivity to Candida albicans; OR, odds ratio.