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. 2022 Jun 3;10:888219. doi: 10.3389/fpubh.2022.888219

Table 2.

The association between plasma copper concentration and prevalence of diabetes in 2,579 Chinese adults with hypertensiona.

Plasma copper concentration, μg/dl N No. of case (%) Model 1 Model 2 Model 3
OR (95% CI) P OR (95% CI) P OR (95% CI) P
Quintiles
Q1 (<80.1) 516 141 (27.3) Ref Ref Ref
Q2 (80.1–89.4) 516 140 (27.1) 0.99 (0.75, 1.30) 0.944 1.03 (0.77, 1.37) 0.865 1.02 (0.77, 1.36) 0.886
Q3 (89.4–98.2) 515 136 (26.4) 0.95 (0.72, 1.26) 0.740 0.98 (0.73, 1.31) 0.867 0.97 (0.72, 1.30) 0.834
Q4 (98.2–109.4) 516 128 (24.8) 0.88 (0.66, 1.16) 0.357 0.93 (0.69, 1.26) 0.646 0.93 (0.69, 1.25) 0.633
Q5 (≥109.4) 516 152 (29.5) 1.11 (0.85, 1.46) 0.448 1.24 (0.92, 1.66) 0.163 1.20 (0.89, 1.62) 0.231
P for trend 0.754 0.332 0.429
Q1–4 (<109.4) 2,063 545 (26.4) Ref Ref Ref
Q5 (≥109.4) 516 152 (29.5) 1.16 (0.94, 1.44) 0.165 1.26 (1.00, 1.58) 0.048 1.23 (0.97, 1.55) 0.080

aData are presented as OR (95% CI) estimated by using logistic regression models. Model 1 was crude model. Model 2 adjusted for potential confounders, including age, sex, current smoking, current alcohol drinking, BMI, family history of diabetes, SBP, DBP, tHcy, TC and TG. Model 3 additionally adjusted for HDL-C.

BMI, body mass index; DBP, diastolic blood pressure; SBP, systolic blood pressure; TC, total cholesterol; TG, triglycerides; tHcy, total homocysteine.