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. 2024 Jan 23;16(3):335. doi: 10.3390/nu16030335

Table 5.

Association between serum iron and type 2 diabetes (stratified by copper levels according to physiological status).

N Case (%) OR (95%CI) p p interaction
Age, years Copper, µg/dL
≤60 ≤132.1 655 149 (22.7) 1.48 (1.01, 2.12) 0.046 0.054
>132.1 702 84 (11.9) 0.82 (0.51, 1.30) 0.393
>60 ≤132.1 444 222 (50.0) 1.73 (1.18, 2.53) 0.005 0.016
>132.1 397 47 (11.8) 0.63 (0.33, 1.23) 0.175
Gender
Men ≤132.1 408 153 (37.5) 1.90 (1.22, 2.97) 0.004 0.029
>132.1 364 47 (12.9) 0.75 (0.39, 1.45) 0.398
Women ≤132.1 691 218 (31.5) 1.42 (1.01, 1.99) 0.046 0.042
>132.1 735 84 (11.4) 0.78 (0.49, 1.24) 0.288
BMI, kg/m2
≤24 ≤132.1 483 152 (31.5) 1.71 (1.13, 2.59) 0.011 0.079
>132.1 519 44 (8.5) 0.82 (0.43, 1.54) 0.528
>24 ≤132.1 616 219 (35.6) 1.54 (1.08, 2.19) 0.017 0.007
>132.1 580 87 (15.0) 0.69 (0.43, 1.11) 0.125

Odds ratios (95% confidence intervals) and p values were obtained from the logistic regression model adjusted for age, gender, body mass index, total cholesterol, and triglycerides. Serum iron was included in the analysis as a binary variable according to the median, with the lower group serving as the reference group. p-values for interaction were assessed using a likelihood ratio test to compare the models with and without interaction terms. BMI, body mass index; OR, odds ratio; CI, confidence interval.