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. 2017 Jun 7;147(7):1374–1383. doi: 10.3945/jn.117.249060

TABLE 1.

Baseline characteristics according to tertiles of prudent and Western diet scores as associated with blood lead in the Normative Aging Study, 1987–20081

Tertile of prudent diet score
Tertile of Western diet score
Baseline characteristics Total (n = 983) 1 (lowest) (n = 327) 2 (n = 328) 3 (highest) (n = 328) 1 (lowest) (n = 327) 2 (n = 328) 3 (highest) (n = 328)
Diet score median (minimum, maximum) −0.77 (−1.3, −0.45) −0.17 (−0.44, 0.19) 0.68 (0.20, 7.43) −0.80 (−2.0, −0.44) −0.11 (−0.43, 0.25) 0.74 (0.26, 4.05)
Age, y 65.1 ± 7.7 64.2 ± 7.9 65.0 ± 7.7 66.3 ± 7.2 66.9 ± 7.2 64.9 ± 7.6 63.6 ± 7.8
Blood lead, μg/dL 6.1 ± 4.2 6.5 ± 3.9 6.3 ± 4.9 5.6 ± 3.4 5.9 ± 4.8 6.0 ± 3.8 6.5 ± 3.8
Patella lead,2 μg/g 30.7 ± 19.5 32.3 ± 20.6 29.4 ± 18.4 30.3 ± 19.3 29.9 ± 18.0 29.8 ± 19.3 32.3 ± 20.8
Tibia lead,2 μg/g 21.7 ± 13.6 23.1 ± 14.5 20.9 ± 12.2 21.0 ± 14.0 21.1 ± 11.5 21.1 ± 13.9 22.8 ± 15.1
Smoking
 Never 27.4 26.0 29.3 26.8 33.3 27.1 21.7
 Former or current 72.6 74.0 70.7 73.2 66.7 72.9 78.3
Education
 Less than high school 9.8 14.1 10.7 4.6 10.4 8.2 10.7
 High school 36.6 39.1 37.5 33.2 35.5 34.8 39.6
 Some college 26.1 25.1 22.9 30.5 26.6 27.7 24.1
 ≥4-y college 27.5 21.7 28.9 31.7 27.5 29.3 25.6
Occupation
 White collar 34.4 29.0 33.8 40.2 34.9 38.1 30.2
 Non–white collar 65.6 71.0 66.2 59.8 65.1 61.9 69.8
Total energy intake, kcal/d 1958 ± 593 1641 ± 505 1933 ± 457 2298 ± 612 1657 ± 489 1913 ± 463 2302 ± 625
BMI, kg/m2 27.8 ± 3.7 28.2 ± 3.6 27.8 ± 3.6 27.4 ± 3.9 27.2 ± 3.6 27.8 ± 3.4 28.4 ± 4.0
Food intakes, servings/d
 Red meat 0.5 ± 0.3 0.4 ± 0.3 0.5 ± 0.3 0.5 ± 0.4 0.2 ± 0.2 0.4 ± 0.2 0.7 ± 0.4
 Processed meat 0.3 ± 0.4 0.3 ± 0.4 0.3 ± 0.3 0.3 ± 0.4 0.1 ± 0.1 0.3 ± 0.2 0.6 ± 0.5
 Seafood 0.4 ± 0.3 0.2 ± 0.2 0.3 ± 0.2 0.6 ± 0.5 0.4 ± 0.4 0.4 ± 0.3 0.4 ± 0.4
 Poultry 0.4 ± 0.3 0.2 ± 0.2 0.3 ± 0.2 0.5 ± 0.4 0.4 ± 0.3 0.3 ± 0.3 0.4 ± 0.3
 Eggs 0.2 ± 0.3 0.2 ± 0.3 0.3 ± 0.3 0.2 ± 0.3 0.1 ± 0.1 0.2 ± 0.2 0.4 ± 0.4
 Butter 0.3 ± 0.7 0.4 ± 0.9 0.2 ± 0.5 0.2 ± 0.5 0.1 ± 0.2 0.2 ± 0.5 0.6 ± 1.0
 Fries 0.1 ± 0.1 0.1 ± 0.1 0.1 ± 0.1 0.1 ± 0.1 0.0 ± 0.1 0.1 ± 0.1 0.1 ± 0.1
 High-fat dairy products 1.0 ± 1.3 1.1 ± 1.3 1.2 ± 1.6 0.9 ± 1.0 0.5 ± 0.6 0.9 ± 0.6 1.9 ± 1.8
 Fruit 1.5 ± 1.2 0.9 ± 0.7 1.4 ± 0.9 2.2 ± 1.4 1.8 ± 1.4 1.4 ± 1.0 1.2 ± 1.0
 Whole grains 1.5 ± 1.4 0.8 ± 0.8 1.5 ± 1.2 2.1 ± 1.6 1.6 ± 1.3 1.5 ± 1.4 1.3 ± 1.3
 Refined grains 1.5 ± 1.2 1.2 ± 1.0 1.4 ± 1.2 1.8 ± 1.4 1.0 ± 0.9 1.4 ± 1.0 2.0 ± 1.5
 Vegetables 1.7 ± 1.3 0.8 ± 0.4 1.5 ± 0.5 2.9 ± 1.6 1.9 ± 1.4 1.6 ± 1.2 1.7 ± 1.3
 Legumes 0.4 ± 0.3 0.2 ± 0.2 0.4 ± 0.2 0.6 ± 0.4 0.4 ± 0.3 0.4 ± 0.3 0.5 ± 0.4
 Tomatoes 0.6 ± 0.6 0.3 ± 0.3 0.5 ± 0.5 0.9 ± 0.8 0.5 ± 0.5 0.6 ± 0.5 0.7 ± 0.8
Neighborhood-based socioeconomic status, %
 Education3 12.0 ± 8.9 13.0 ± 9.5 12.4 ± 8.9 10.4 ± 8.2 12.5 ± 9.3 11.0 ± 8.1 12.3 ± 9.3
 Income4 6.3 ± 5.6 6.7 ± 6.0 6.2 ± 5.2 6.0 ± 5.6 6.5 ± 6.0 5.9 ± 5.3 6.5 ± 5.6
1

Values are means ± SEs or percentages unless otherwise indicated.

2

Patella lead and tibia lead concentrations were measured between 1991 and 1999 (n = 786).

3

Geographic areas were identified as undereducated if ≥25% of residents age ≥25 y had not completed high school.

4

Geographic areas were identified as impoverished if ≥10% of residents of the population lived below the federal poverty line.