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. 2010 Aug 31;33(12):2604–2610. doi: 10.2337/dc10-0994

Table 1.

Baseline characteristics of CARDIA study participants according to total magnesium intake quintiles

Characteristics Quintile 1 Quintile 2 Quintile 3 Quintile 4 Quintile 5 P values*
n 899 900 899 900 899
Magnesium intake (mg/1,000 kcal) 99.9 (91.7–106.1) 121.0 (116.5–125.2) 140.1 (134.8–145.5) 162.1 (155.8–169.3) 201.5 (187.7–233.3)
Age (years) 23.9 ± 3.8 24.3 ± 3.7 25.0 ± 3.6 25.5 ± 3.4 26.0 ± 3.2 <0.01
Female sex (%) 52.4 46.8 46.8 53.0 64.7 <0.01
African American (%) 82.7 67.7 48.5 31.1 23.0 <0.01
Education (years) 12.8 ± 1.8 13.3 ± 2.1 13.9 ± 2.1 14.4 ± 2.3 14.8 ± 2.3 <0.01
Current smoker (%) 36.4 33.0 28.1 27.2 24.7 <0.01
Alcohol intake (g/day) 10.2 ± 20.1 12.9 ± 22.2 12.2 ± 19.6 13.4 ± 22.6 10.6 ± 16.2 <0.01
Physical activity score (units) 354.0 ± 293.5 407.7 ± 305.2 421.4 ± 289.5 435.7 ± 289.3 474.8 ± 288.5 <0.01
Family history of diabetes (%) 16.2 14.0 14.6 12.3 11.4 0.02
BMI (kg/m2) 25.0 ± 5.9 25.0 ± 5.5 24.5 ± 4.7 24.1 ± 4.4 24.0 ± 4.3 <0.01
Waist circumference (cm) 78.5 ± 12.9 79.1 ± 11.7 78.4 ± 10.6 77.3 ± 10.7 76.2 ± 10.0 <0.01
Glucose (mg/dl) 81.3 ± 8.8 81.9 ± 9.0 81.6 ± 8.5 82.2 ± 7.7 82.0 ± 7.4 0.29
Insulin (μU/ml) 12.8 ± 6.9 12.5 ± 6.5 11.2 ± 4.9 10.6 ± 4.7 10.5 ± 4.8 <0.01
Systolic blood pressure (mmHg) 111.2 ± 10.8 111.5 ± 11.2 110.8 ± 10.9 109.9 ± 10.2 109.2 ± 11.3 <0.01
Diastolic blood pressure (mmHg) 68.2 ± 10.2 68.8 ± 10.2 69.2 ± 9.5 68.8 ± 9.0 68.2 ± 9.3 0.11
Total energy intake (kcal) 3,264 ± 1,650 3,170 ± 1,571 2,943 ± 1,363 2,652 ± 1,189 2,374 ± 1,127 <0.01
Total saturated fat (g) 53.4 ± 31.3 51.6 ± 28.3 47.8 ± 25.0 42.3 ± 21.6 35.2 ± 20.6 <0.01
Crude fiber (g) 4.7 ± 2.9 5.4 ± 3.0 5.6 ± 3.1 6.0 ± 3.2 6.7 ± 4.0 <0.01
Whole grain (times/week) 4.9 ± 7.3 7.4 ± 8.6 9.7 ± 9.7 11.0 ± 9.5 13.1 ± 11.1 <0.01
Magnesium supplementation (mg) 1.6 ± 9.4 4.0 ± 15.7 9.5 ± 25.2 17.9 ± 35.9 69.4 ± 137.1 <0.01

Data are median (interquartile range), means ± SD, or %.

*P values are for any difference across the quintiles of magnesium intake using ANOVA, Kruskal-Wallis test, or χ2 test as appropriate.