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. 2017 Mar 17;9(3):296. doi: 10.3390/nu9030296

Table 2.

Association of serum Mg with demographic factors, diabetes and biochemical measures 1.

IV Estimate (95% CI) 2,3 Estimate (95% CI) 3,4 p Distribution of Continuous IV
mmol·L−1 5th (95% CI ) 95th (95% CI )
Male 5 0.01 (0.00, 0.01) - <0.01 - -
White race 6 −0.01 (−0.02, −0.00) - <0.001 - -
Diabetes 7 −0.04 (−0.05, −0.02) - <0.001 - -
Age, year 0.01 (0.01, 0.01) 0.05 (0.04, 0.05) <0.001 21.1 (18.3, 23.9) 71.7 (70.1, 73.3)
BMI, kg·m−2 −0.002 (−0.002, −0.001) −0.03 (−0.03, −0.02) <0.001 19.7 (19.1, 20.3) 36.3 (34.7, 38.0)
Household income, K 0.0005 (0.0001, 0.0008) 0.01 (0.00, 0.01) <0.01 15.0 (11.5, 18.5) 196.7 (166.2, 227.2)
Serum albumin, g·L−1 0.002 (0.001, 0.003) 0.02 (0.01, 0.03) <0.001 37.8 (36.3, 39.3) 48.9 (47.4, 50.5)
HbA1c, % −0.01 (−0.02, −0.01 ) −0.02 (−0.03, −0.02) <0.001 4.8 (4.6, 5.0) 6.5 (6.1, 6.9)

1 Results from fasted and nonfasted adults aged 20–79 years, n = 2838 (Model 1). Sex, race, diabetes, age, BMI, household income, serum albumin concentration and HbA1c were tested in the model. All variables were statistically significant (p < 0.05) and retained in the final model. HbA1c, glycated hemoglobin; IV, independent variables; Mg, magnesium; 2 Changes in serum Mg concentrations associated with being male (compared to female), white race (compared to non-white race), diabetes, a 10 years increment in age, a 1 kg·m−2 increment in BMI, a $10 K increment in yearly household income, a 1 g·L−1 increment in serum albumin concentration and a 1% increment in HbA1c; 3 Estimates are adjusted for all IV in the model; 4 Continuous variables were transformed using the 5th and 95th percentiles prior to analysis; 5 Males, n = 1438; 6 Whites, n = 2331; 7 Diabetics, n = 217.