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TABLE B-4 Estimates of Within-Subject Variation in Intake, Expressed as Standard Deviation (SD)a and Coefficient of Variation (CV) for Macronutrients and Cholesterol in Adults Aged 19 and Over

Nutrientb

Adults, Ages 19–50 y

Adults, Ages 51 y and Over

 

Females

(n = 2,480)c

Males

(n = 2,583)

Females

(n = 2,162)

Males

(n = 2,280)

   

CV

 

CV

 

CV

 

CV

 

SD

(%)

SD

(%)

SD

(%)

SD

(%)

Energy (kcal)

576

34

854

34

448

31

590

29

Fat (total, g)

29.9

48

42.7

44

24.0

45

31.8

42

Fat (saturated, g)

10.9

52

15.9

49

8.6

50

11.4

45

Fat (mono-unsaturated, g)

12.0

50

17.4

46

9.7

48

13.0

44

Fat (poly-unsaturated, g)

8.4

64

11.3

59

7.0

61

8.8

57

Carbohydrate (g)

75.2

35

109

35

59.9

32

79.5

32

Protein (g)

26.6

42

40.4

41

22.1

37

28.6

35

Fiber (g)

6.5

49

9.2

51

5.9

43

7.7

43

Cholesterol (mg)

168

77

227

66

144

70

201

66

NOTE: When the CV is larger than 60 to 70 percent the distribution of daily intakes is nonnormal and the methods presented here are unreliable.

a Square root of the residual variance after accounting for subject, and sequence of observation (gender and age controlled by classifications).

b Nutrient intakes are for food only, data does not include intake from supplements.

c Sample size was inadequate to provide separate estimates for pregnant or lactating women.

SOURCE: Data from Continuing Survey of Food Intakes by Individuals1994–1996.

and the EAR. This standard deviation depends, among other factors, on the number of days of intake data that are available for the individual. The fewer days of intake data available for the individual, the larger the standard deviation of the difference (resulting in a smaller ratio D/SDD) and the lower the likelihood of being able to assess adequacy or inadequacy.

Implementation of the Individual Assessment Approach

To implement the approach described above, the following information is needed:



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