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Table 7 Regression model estimating change in energy intake associated with adding caloric beverages in place of non-caloric beverages

From: Beverage consumption habits “24/7” among British adults: association with total water intake and energy intake

Model 1

 

B

P value

95% Confidence interval for B

   

Lower

Upper

(Constant)

1040

<0.0001

852

1227

Sex -female

−371

<0.0001

−414

−328

Age (years)

−1.6

0.044

−3.1

0.0

current smoker

−63

0.001

−100

−25

weight (kg)

7.2

<0.0001

6.0

8.4

Dieting

−67

0.005

−114

−20

Activity (MET)

147

<0.0001

104

190

Valid reporter

659

<0.0001

617

700

Total beverages (100 g/d)

11

<0.0001

10

12

4caloricbeverages (100 g)*

15

<0.0001

10

20

Model 2, Keeping Food Constant

 

B

P value

95% Confidence Interval for B

   

Lower

Upper

(Constant)

62

0.01

15

109

Sex -female

−20

0.001

−31

−8

Age (years)

0.4

0.023

0.6

0.8

current smoker

16

0.001

7

26

weight (kg)

0.2

0.241

−0.1

0.5

Dieting

1

0.826

−10

13

Activity (MET)

−4

0.513

−14

7

Valid reporter

40

<0.0001

28

53

Food (kcal)

0.97

<0.0001

0.96

0.98

Total beverages (100 g)

2

<0.0001

1

3

4caloricbeverages (100 g)*

34

<0.0001

33

36

  1. * 4caloric beverages = sum of milk, fruit juice, caloric soft drinks and alcoholic drinks.
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Nutrition Journal

ISSN: 1475-2891

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