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. 2020 Feb 7;43(4):776–784. doi: 10.2337/dc19-2202

Table 2.

Characteristics of baseline demographic and lifestyle factors and cumulative average food and nutrient intake according to quintiles of dietary intake of heme iron and nonheme iron in women (n = 8,680)*

Quintiles of heme iron intake Quintiles of nonheme iron intake
1 3 5 P-trend 1 3 5 P-trend
Age (years) 41 ± 15.9 40.8 ± 14.7 40.1 ± 14.7 0.217 41.1 ± 15.9 40.3 ± 14.4 41.2 ± 15.1 0.367
BMI (kg/m2) 22.5 ± 3.3 22.4 ± 3.3 22.4 ± 3.3 0.786 22.1 ± 3.4 22.5 ± 3.2 22.7 ± 3.3 <0.0001
PAL (× BMR) 1.7 ± 0.2 1.6 ± 0.2 1.5 ± 0.2 <0.0001 1.61 ± 0.24 1.63 ± 0.24 1.61 ± 0.24 0.763
Urban residence area 312 (9.4) 688 (20.7) 958 (28.8) <0.0001 516 (15.5) 700 (21.1) 752 (22.6) <0.0001
Education level <0.0001 0.004
 Low 1,151 (27.6) 800 (19.2) 548 (13.1) 600 (20.7) 561 (19.3) 564 (19.4)
 Medium 558 (13.9) 845 (21.1) 1,018 (25.4) 931 (19.2) 987 (20.4) 972 (20.1)
 High 27 (5.4) 91 (18.2) 170 (34.0) 138 (22.8) 121 (20.0) 134 (22.2)
Household income level <0.0001 0.072
 Low 894 (36.6) 418 (17.1) 230 (9.4) 483 (19.8) 482 (19.7) 484 (19.8)
 Medium 445 (19.4) 491 (21.4) 413 (18.0) 442 (19.2) 472 (20.5) 432 (18.8)
 High 250 (12.3) 425 (21.0) 483 (23.8) 387 (19.1) 438 (21.6) 398 (19.6)
 Very high 147 (7.7) 402 (21.0) 610 (31.9) 424 (22.2) 344 (18.0) 422 (22.1)
Former or current smoker 105 (29.0) 76 (21.0) 35 (9.7) <0.0001 63 (17.4) 78 (21.5) 71 (19.6) 0.324
alcohol consumer 159 (15.5) 227 (22.1) 223 (21.8) 0.0001 197 (19.2) 211 (20.6) 224 (21.9) 0.126
Hypertension 348 (24.0) 281 (19.4) 247 (17.1) <0.0001 252 (17.4) 288 (19.9) 310 (21.4) 0.002
TE (kcal) 2,061.7 ± 536.5 2,034.3 ± 475.4 1,981.2 ± 492.9 <0.0001 2,006.8 ± 525.9 2,026.3 ± 464.3 2,049.2 ± 558 0.006
Carbohydrates (%TE) 68.6 ± 8.1 57.3 ± 7.8 50.9 ± 9.1 <0.0001 56.9 ± 10.7 58.6 ± 9.6 59.4 ± 11.1 <0.0001
Protein (%TE) 11.3 ± 1.7 12.2 ± 1.7 14.5 ± 2.9 <0.0001 11.6 ± 2.2 12.4 ± 2 13.7 ± 2.8 <0.0001
SFA (%TE) 4.1 ± 2.1 7.1 ± 2.3 8.6 ± 2.8 <0.0001 7.3 ± 3.3 6.7 ± 2.6 6.4 ± 2.9 <0.0001
PUFA (%TE) 6.2 ± 3.7 7.2 ± 3.8 7.4 ± 3.9 <0.0001 7 ± 4.5 7.3 ± 3.8 6.7 ± 3.8 0.001
MUFA (%TE) 7 ± 3.3 12.4 ± 3.6 14.7 ± 4.4 <0.0001 13.1 ± 4.8 11.5 ± 4.4 10.7 ± 4.8 <0.0001
PUFA/SFA 1.7 ± 0.7 1.1 ± 0.5 1 ± 0.5 <0.0001 1.1 ± 0.6 1.3 ± 0.7 1.2 ± 0.6 <0.0001
MUFA/SFA 1.9 ± 0.7 1.9 ± 0.4 1.8 ± 0.4 <0.0001 2 ± 0.6 1.8 ± 0.5 1.8 ± 0.5 <0.0001
Heme iron (mg/day) 0.06 (0.00, 0.13) 0.63 (0.55, 0.71) 1.76 (1.49, 2.35) <0.0001 0.68 (0.35, 1.12) 0.61 (0.27, 1.10) 0.56 (0.19, 1.25) <0.0001
Nonheme iron (mg/day) 20.7 ± 5 19.3 ± 5 20.9 ± 7.1 0.038 14.5 ± 1.7 19.2 ± 0.5 27.8 ± 7.2 <0.0001
Iron (mg/day) 20.8 ± 5 19.9 ± 5 23.2 ± 8.1 <0.0001 15.3 ± 1.8 20 ± 0.9 28.9 ± 8.1 <0.0001
Magnesium (mg/day) 326.4 ± 71.7 291.2 ± 55.4 290.8 ± 61.7 <0.0001 262.2 ± 59.5 292.5 ± 42.9 348.8 ± 77.2 <0.0001
Cereals fiber (g/day) 6.5 (3.7, 10.1) 3.1 (2.5, 4.5) 2.4 (1.9, 3.0) <0.0001 2.9 (2.2, 3.8) 3.3 (2.4, 5.6) 3.5 (2.4, 7.0) <0.0001
Cholesterol (mg/day) 67.6 (17.9, 147.7) 194.4 (120.3, 286.4) 276.5 (199.9, 384.6) <0.0001 172.3 (97.7, 266.5) 200.0 (116.8, 298.6) 191.6 (85.6, 321) <0.0001
Vegetables (g/day) 296.8 ± 194.7 293.9 ± 149.3 301.7 ± 156.2 0.422 250.8 ± 105.2 294 ± 121 370.1 ± 332.1 <0.0001
Fruits (g/day) 0.0 (0.0, 11.7) 8.8 (0.0, 53.4) 16.7 (0.0, 68.2) <0.0001 0.0 (0.0, 37.5) 10.4 (0.0, 50.5) 0.0 (0.0, 51.9) 0.002

Data are mean ± SD, n (%), or median (IQR).

*

Information on nondietary factors was collected at baseline, and dietary data were estimated as energy-adjusted cumulative average intake from baseline and follow-up periods.

We used linear regressions to test the linear trends for continuous variables (with the median intake of heme or nonheme iron as continuous variables included in the regression models). We used χ2 with linear-by-linear association tests to test the linear trends for categorical variables.