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Table 4 Relationships (standardized regression coefficients and level of significance) between intakes of fruit and dairy subgroups and cardiometabolic risk factors, assessed using two multiple linear regression models (n = 95).

From: Carbohydrate intake and cardiometabolic risk factors in high BMI African American children

  Model 6 Model 7
  Non-sugar CHO Sugar Source Non-sugar CHO Sugar Source
   Fruit (no beverages) 1 Fruit-containing beverages 2 Other   Dairy, un-sweetened 3 Dairy, sweetened 4 Other
TG 0.006 -0.073 0.013 0.395** 0.021 0.005 0.242* 0.249#
VLDL-C 0.096 -0.101 0.232* 0.315* 0.115 0.013 0.197# 0.299*
IDL-C 0.097 0.066 0.241* 0.281* 0.126 0.039 0.141 0.341*
HDL-C -0.046 0.124 -0.026 -0.140 - 0.121 -0.097 -0.251* 0.037
ISI-FFA -0.027 -0.063 -0.195* -0.123 -0.098 -0.047 -0.171* -0.139
HOMA 0.203 0.012 0.027 0.198# 0.213 -0.027 0.123 0.153
  1. *** p < 0.001, ** p < 0.01, *p < 0.05, # p = 0.05-0.10. In addition to the variables shown for each model, other variables entered simultaneously into each model included gender, pubertal stage, waist circumference, protein intake and fat intake. Values presented are standardized regression coefficients and level of significance.
  2. 1 Fresh, dried and preserved fruit; (USDA food code 60-63 & 65-69 Millions).
  3. 2 Fruit-containing beverages including fruit juice, non-dairy fruit smoothies (USDA food code 64 Millions).
  4. 3 Dairy including unflavored milk, cream (including whipped toppings) and cheese (USDA food code 10-11.40 Million; 12 & 14-19 Millions).
  5. 4 Dairy including flavored milk, milkshakes, ice cream, yogurt, and milk puddings (USDA food code 11.41-11.99 Million & 13 Millions).
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Nutrition & Metabolism

ISSN: 1743-7075

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