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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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