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. 2013 Mar 5;8(3):e58278. doi: 10.1371/journal.pone.0058278

Table 4. Regression Models of Magnesium Intake on Insulin Resistance based upon %BF and BMI.

Body Fat Percentage
Low Medium High
β β* p β β* p β β* p
Entire Cohort
Unadjusted −14.98 (2.5) −0.165 (0.03) <0.0001 −17.36 (3.4) −0.191 (0.04) <0.0001 −20.98 (4.1) −0.231 (0.05) <0.0001
Adjusted −14.30 (4.1) −0.157 (0.04) 0.001 −23.39 (6.0) −0.258 (0.07) 0.0002 −45.59 (6.48) −0.502 (0.07) 0.000
Body Mass Index
Entire Cohort
Unadjusted −3.89 (2.1) −0.043 (0.02) NS −12.4 (3.5) −0.137 (0.04) 0.0004 −24.27 (4.7) −0.267 (0.05) <0.0001
Adjusted −9.97 (3.5) −0.110 (0.04) 0.004 −12.8 (6.4) −0.141 (0.07) 0.047 −57.6 (7.9) −0.446 (0.08) 0.000
1

Regression model adjusted for caloric intake, physical activity, medication use and menopausal status.Subjects were also stratified into a tertiles(Low, Medium and High) based upon %BF and BMI.

2

β = Unstandardized Beta (standard error), β* = Standardized Beta (standard error), Magnesium intake (g/day/kg).

3

Magnesium intake (Low BMI 409.78±243.5 mg/day, Medium BMI 353.24±180.9 mg/day, High BMI 342.76±196.1 mg/day) (Low %BF 387.5±230.3 mg/day, Medium %BF 360.54±187.5 mg/day, High %BF 357.68±210.7 mg/day).

4

Statistical significance was set to p<0.05 (IBM SPSS Statistics 19).