Table 4.
Association between micronutrient deficiencies and increased CRP values in logistic regression models and at mediation analysis
| Univariate regression | Multivariate regressiona | Indirect effects° | |||||
|---|---|---|---|---|---|---|---|
| OR | 95% CI | p | OR | 95% CI | p | p | |
| Iron deficiencyb | 1.98 | 1.02–3.85 | 0.044 | 1.78 | 0.88–3.60 | 0.11 | 0.23 |
| Vitamin B12 deficiencyc | 5.46 | 1.22–24.5 | 0.026 | 5.84 | 1.25–27.2 | 0.024 | 0.94 |
| Folate deficiencyd | 4.06 | 1.94–8.47 | < 0.001 | 4.02 | 1.87–8.66 | < 0.001 | 0.45 |
| ≥ 2 nutritional deficiencies | 2.62 | 1.42–4.82 | 0.002 | 2.31 | 1.21–4.42 | 0.010 | 0.12 |
aModel adjusted for age, sex, BMI, glycated hemoglobin. Each row is a model
bTransferrin saturation < 15% (females), < 20% (males)
cVitamin B12 < 200 pg/mL
dFolate < 3.0 ng/mL
°p values for the presence of indirect effects mediated by age, sex, BMI, glycated hemoglobin at mediation analysis