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. 2014 Oct 8;144(12):2018–2026. doi: 10.3945/jn.114.198341

TABLE 3.

Adjusted mean food intake of white women in the REGARDS study according to BMI phenotype defined by MetS criteria1

BMI phenotype
Normal-weight
Overweight
Obese
Metabolically healthy Metabolically abnormal Metabolically healthy Metabolically abnormal Metabolically healthy Metabolically abnormal
n (%)2 1587 (93.2) 115 (6.8) 1226 (76.0) 388 (24.0) 577 (45.0) 705 (55.0)
Food group, g/d
 Vegetables
  Model 1 218 ± 4 186 ± 15 216 ± 5 202 ± 9 218 ± 7 205 ± 6
  Model 2 204 ± 10 196 ± 16 208 ± 9 207 ± 11 205 ± 11 193 ± 11
 Fruits
  Model 1 141 ± 3a 99 ± 12c 132 ± 4a,b 119 ± 7b,c 132 ± 6a,b 129 ± 5b
  Model 2 130 ± 8 105 ± 13 122 ± 8 122 ± 9 127 ± 9 134 ± 9
 Whole-grain bread
  Model 1 16.3 ± 0.5 14.6 ± 1.9 15.7 ± 0.6 15.2 ± 1.0 16.6 ± 0.8 15.9 ± 0.8
  Model 2 18.3 ± 1.4 18.3 ± 2.2 17.5 ± 1.3 17.0 ± 1.5 17.8 ± 1.6 17.0 ± 1.6
 Refined grains
  Model 1 19.4 ± 0.7 18.9 ± 2.5 19.3 ± 0.8 18.7 ± 1.4 20.8 ± 1.1 22.7 ± 1.0
  Model 2 24.3 ± 1.7 24.2 ± 2.9 23.9 ± 1.6 23.4 ± 2.0 23.9 ± 2.0 25.6 ± 2.0
 Beans
  Model 1 13.4 ± 0.5a,b 15.6 ± 2.0a 11.1 ± 0.6c 11.1 ± 1.1b,c 11.6 ± 0.9a,b,c 11.7 ± 0.8a,b,c
  Model 2 13.1 ± 1.4 16.2 ± 2.3 11.7 ± 1.3 12.0 ± 1.6 11.8 ± 1.6 12.3 ± 1.6
 Fish
  Model 1 18.3 ± 0.6 14.2 ± 2.1 18.6 ± 0.7 17.2 ± 1.2 18.8 ± 1.0 18.6 ± 0.9
  Model 2 19.6 ± 1.5 19.0 ± 2.5 19.9 ± 1.4 19.8 ± 1.7 20.3 ± 1.7 20.9 ± 1.7
 Poultry
  Model 1 13.4 ± 0.5 8.2 ± 1.7 14.0 ± 0.5 13.8 ± 1.0 13.9 ± 0.8 13.7 ± 0.7
  Model 2 10.3 ± 1.2 7.9 ± 2.0 11.3 ± 1.1 12.6 ± 1.3 12.3 ± 1.4 12.6 ± 1.4
 Red meat
  Model 1 26.3 ± 0.8d 26.0 ± 2.8c,d 30.4 ± 0.9b,c 29.7 ± 1.6b,c 32.9 ± 1.3a,b 35.8 ± 1.1a
  Model 2 30.9 ± 1.9 30.9 ± 3.2 32.5 ± 1.8 31.1 ± 2.2 31.8 ± 2.2 33.4 ± 2.3
 Processed meat
  Model 1 11.1 ± 0.4c 11.1 ± 1.3b,c 12.5 ± 0.4b 13.0 ± 0.7b 13.7 ± 0.6b 15.6 ± 0.5a
  Model 2 13.1 ± 0.9 11.4 ± 1.5 12.5 ± 0.9 12.5 ± 1.1 11.6 ± 1.1 12.5 ± 1.1
 Fried foods
  Model 1 12.2 ± 0.5d 14.8 ± 1.8c,d 15.0 ± 0.5c 16.2 ± 1.0b,c 18.7 ± 0.8a,b 19.3 ± 0.7a
  Model 2 13.0 ± 1.2 13.9 ± 2.0 13.3 ± 1.2 12.9 ± 1.4 14.2 ± 1.4 12.5 ± 1.5
 Low-fat dairy
  Model 1 117 ± 5a 96 ± 19a,b 116 ± 6a 101 ± 11a,b 101 ± 9a,b 84 ± 8b
  Model 2 75 ± 13 72 ± 22 82 ± 13 74 ± 15 74 ± 15 67 ± 16
 High-fat dairy
  Model 1 91 ± 4b 95 ± 15a,b 97 ± 5b 96 ± 9a,b 105 ± 7a,b 116 ± 6a
  Model 2 96 ± 11 83 ± 18 104 ± 10 91 ± 12 108 ± 13 109 ± 13
 100% Fruit juice
  Model 1 109 ± 4 123 ± 13 104 ± 4 106 ± 7 100 ± 6 105 ± 5
  Model 2 97 ± 10 119 ± 16 104 ± 9 106 ± 11 110 ± 11 116 ± 12
 SSBs
  Model 1 91 ± 6b 132 ± 23a,b 103 ± 7b 147 ± 13a 106 ± 10b 154 ± 9a
  Model 2 140 ± 17 147 ± 27 134 ± 16 149 ± 19 113 ± 19 140 ± 19
1

Values are means ± SEMs. ANCOVA was used to compute least-squares means of food intakes and to calculate pairwise mean differences in BMI phenotypes. Labeled means in a row without a common letter differ, P < 0.05. Metabolically healthy normal-weight [BMI (kg/m2) 18.5 to < 25.0 and <3 MetS components]; metabolically healthy overweight (BMI 25 to <30 and <3 MetS components); metabolically healthy obese (BMI ≥30 and <3 MetS components); metabolically abnormal normal-weight (BMI 18.5 to <25.0 and ≥3 MetS components); metabolically abnormal overweight (BMI 25 to <30 and ≥3 MetS components); metabolically abnormal obese (BMI ≥ and ≥3 MetS components). Model 1 adjusted for baseline age. Model 2 adjusted for baseline age, BMI, marital status (married, other), residential region (Stroke Belt, other), education (less than college degree, college degree or higher), annual income (<$35,000, ≥35,000), alcohol intake (none, moderate, heavy), multivitamin use (yes, no), cigarette smoking status (nonsmoker, current smoker), physical activity (0, 1–3, ≥4 times/wk), television viewing (0 h/wk, 1–6 h/wk, ≥1 h/d), high-sensitivity C-reactive protein, menopausal status (yes, no), hormone therapy (yes, no), and food intakes (vegetables, fruits, whole-grain bread, refined grains, beans, fish, poultry, red meat, processed meat, fried foods, low-fat dairy, high-fat dairy, 100% fruit juice, SSBs; each food item was adjusted for all other food intakes). MetS, metabolic syndrome; REGARDS, REasons for Geographic And Racial Differences in Stroke; SSBs, sugar-sweetened beverages.

2

Percentage of each BMI category.