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Table 3 REE predictive accuracy of prediction equations in BMI subgroups

From: Predicting resting energy expenditure in underweight, normal weight, overweight, and obese adult hospital patients

 

Total group (n = 513)

BMI <18.5 (n = 141)

BMI 18.5–25 (n = 209)

BMI 25–30 (n = 77)

BMI > 30 (n = 86)

Under predic-tion

Accu-rate

Over predic-tion

Under predic-tion

Accu-rate

Over predic-tion

Under predic-tion

Accu-rate

Over predic-tion

Under predic-tion

Accu-rate

Over predic-tion

Under predic-tion

Accu-rate

Over predic-tion

%

%

%

%

%

%

%

%

%

%

%

%

%

%

%

New equation

19

49

32

21

44

35

22

51

27

14

58

27

14

44

42

Korth [18]

30

49

22

35

40

24

34

52

14

17

56

27

22

48

30

WHO-wtht [15]

40

45

14

40

45

14

48

43

9

27

55

18

33

44

23

Schofield-wtht [19]

46

42

12

43

44

13

54

40

7

36

48

16

40

40

21

Henry-wtht [20]

51

39

10

50

37

13

60

35

4

40

45

14

38

45

16

WHO-wt [15]

49

39

13

52

35

12

60

33

7

30

53

17

31

45

23

Harris & Benedict 1918 [10]

51

38

11

60

27

13

63

33

3

34

53

13

26

53

21

Muller [21]

52

37

11

59

29

12

62

33

5

38

48

14

28

51

21

H&B by Roza [11]

53

37

11

57

30

13

65

33

3

39

45

16

29

50

21

Schofield-wt [19]

53

36

12

54

33

13

61

32

7

42

47

12

40

40

21

Mifflin [22]

58

33

8

60

28

12

66

30

4

45

45

9

48

40

13

Henry-wt [20]

60

32

8

60

28

12

67

29

4

49

43

8

52

37

10

MullerBMI [21]

60

32

8

63

27

10

70

27

3

48

43

9

43

43

14

30 kcal/kg

58

31

10

67

23

11

69

27

4

40

45

14

35

43

22

Livingston [23]

60

31

9

99

1

0

55

36

9

39

47

14

29

50

21

25 kcal/kg

44

28

28

78

16

6

51

39

11

8

40

52

5

10

85

2000 kcal for female and 2500 kcal for male

66

27

7

73

19

8

73

23

3

53

39

8

50

38

12

Bernstein [24]

68

23

9

91

9

0

86

12

2

40

49

10

14

47

40

  1. Accurate prediction: the percentage of subjects predicted by this predictive equation within 10% of the measured value
  2. Underprediction: the percentage of subjects predicted by this predictive equation <10% of the measured value
  3. Overprediction: the percentage of subjects predicted by this predictive equation > 10% of the measured value