Table 2 Ranking of 2D biometric models.

From: Normalized sensitivity of multi-dimensional body composition biomarkers for risk change prediction

Biomarker ranking

Men

Women

Average separation across genders

Biomarker

Hypertension

Arthritis

Diabetes

High chol.

Cor heart dis

Cancer

Averages

Biomarker

Hypertension

Arthritis

Diabetes

High chol.

Cor heart dis

Cancer

Averages

1

X hip

āˆ’Ā 15.1

āˆ’Ā 12.1

āˆ’Ā 19.5

āˆ’Ā 25.1

āˆ’Ā 5.2

āˆ’Ā 6.4

āˆ’Ā 13.9

X hip

āˆ’Ā 15.1

āˆ’Ā 9.8

āˆ’Ā 10.6

āˆ’Ā 16.1

āˆ’Ā 1.3

āˆ’Ā 1.1

āˆ’Ā 9.0

28.4

Y waist

26.4

20.5

23.6

29.7

8.0

7.6

19.3

Y waist

25.3

20.5

14.0

19.5

3.5

4.0

14.5

NORSE sep

41.5

32.7

43.1

54.8

13.2

14.1

33.2

NORSE sep

40.4

30.2

24.7

35.6

4.8

5.1

23.5

2

X thigh

āˆ’Ā 19.6

āˆ’Ā 16.7

āˆ’Ā 13.7

āˆ’Ā 10.7

āˆ’Ā 8.3

āˆ’Ā 9.1

āˆ’Ā 13.0

X thigh

āˆ’Ā 16.2

āˆ’Ā 14.3

āˆ’Ā 9.7

āˆ’Ā 17.6

āˆ’Ā 3.2

āˆ’Ā 6.7

āˆ’Ā 11.3

25.6

Y BMI

21.0

17.9

11.3

16.5

7.0

5.3

13.2

Y BMI

22.7

20.2

16.0

18.0

3.4

1.6

13.7

NORSE sep

40.7

34.6

25.0

27.2

15.3

14.4

26.2

NORSE sep

38.9

34.5

25.7

35.6

6.6

8.4

25.0

3

X weight

āˆ’Ā 12.2

āˆ’Ā 12

āˆ’Ā 9.4

āˆ’Ā 14

āˆ’Ā 7

āˆ’Ā 7.3

āˆ’Ā 10.3

X weight

āˆ’Ā 12.2

āˆ’Ā 12

āˆ’Ā 10.3

āˆ’Ā 13.1

āˆ’Ā 3.2

āˆ’Ā 5.2

āˆ’Ā 9.3

24.8

Y waist

23.1

18.7

18.1

19.8

9.1

8.9

16.3

Y waist

22.7

18.3

16.3

17.3

2.7

5

13.7

NORSE sep

35.3

30.6

27.5

33.7

16.1

16.3

26.6

NORSE sep

34.9

30.3

26.6

30.4

5.9

10.1

23.0

4

X weight

āˆ’Ā 21.6

āˆ’Ā 19.1

āˆ’Ā 10.6

āˆ’Ā 8.3

āˆ’Ā 8.3

āˆ’Ā 8.7

āˆ’Ā 12.8

X weight

āˆ’Ā 13.7

āˆ’Ā 15.2

āˆ’Ā 13.4

āˆ’Ā 11.1

āˆ’Ā 1.4

āˆ’Ā 4.7

āˆ’Ā 9.9

24.4

Y thigh

20.4

19.1

10.5

13.3

7.0

9.1

13.2

Y thigh

19.9

19.1

13.4

16.9

2.2

5.7

12.9

NORSE sep

42.0

38.2

21.1

21.7

15.3

17.8

26.0

NORSE sep

33.7

34.4

26.8

28.0

3.7

10.3

22.8

5

X PI

āˆ’Ā 11.8

āˆ’Ā 16.3

āˆ’Ā 7

āˆ’Ā 11.6

āˆ’Ā 6.6

āˆ’Ā 10.4

āˆ’Ā 10.6

X PI

āˆ’Ā 7.3

āˆ’Ā 5.2

āˆ’Ā 9.3

āˆ’Ā 13.2

āˆ’Ā 2.8

āˆ’Ā 4.6

āˆ’Ā 7.1

23.3

Y WHtR

24.7

22.7

15.3

17.3

7.5

10.6

16.4

Y WHtR

18.1

15.9

15.1

14.8

3.3

7.6

12.5

NORSE sep

36.5

39.0

22.4

28.9

14.1

21.0

27.0

NORSE sep

25.3

21.1

24.4

28.1

6.1

12.2

19.5

6

X BAI

āˆ’Ā 11.6

āˆ’Ā 13.5

āˆ’Ā 6.9

āˆ’Ā 15.7

āˆ’Ā 3.2

āˆ’Ā 6.5

āˆ’Ā 9.6

X BAI

āˆ’Ā 6

āˆ’Ā 1.8

āˆ’Ā 9.8

āˆ’Ā 10.8

āˆ’Ā 1.6

āˆ’Ā 0.5

āˆ’Ā 5.1

22.7

Y WHtR

23.9

19.2

15.1

26.9

6.1

6.5

16.3

Y WHtR

25.9

19.5

13.1

19.2

2.4

6.8

14.5

NORSE sep

35.5

32.7

21.9

42.6

9.2

13.0

25.8

NORSE sep

31.8

21.3

22.9

30.0

4.0

7.3

19.6

7

X PI

āˆ’Ā 10.1

āˆ’Ā 13.4

āˆ’Ā 7.1

āˆ’Ā 7.9

āˆ’Ā 4.8

āˆ’Ā 8.6

āˆ’Ā 8.7

X PI

āˆ’Ā 7.1

āˆ’Ā 6.9

āˆ’Ā 4.7

āˆ’Ā 8.0

āˆ’Ā 2.3

āˆ’Ā 6.4

āˆ’Ā 5.9

22.6

Y RFM

26.7

25.4

19.5

18.6

8.8

10.1

18.2

Y RFM

18.1

17.3

15.4

16.0

2.2

6.1

12.5

NORSE sep

36.7

38.9

26.5

26.5

13.6

18.7

26.8

NORSE sep

25.3

24.1

20.1

24.0

4.5

12.5

18.4

8

X hip

āˆ’Ā 7.0

āˆ’Ā 4.9

āˆ’Ā 12.6

āˆ’Ā 14.2

āˆ’Ā 5.5

āˆ’Ā 2.6

āˆ’Ā 7.8

X hip

āˆ’Ā 11.8

āˆ’Ā 12.7

āˆ’Ā 10.6

āˆ’Ā 15.7

āˆ’Ā 1.3

āˆ’Ā 1.5

āˆ’Ā 8.9

22.5

Y WHtR

16.0

12.5

20.8

25.0

7.7

4.6

14.4

Y WHtR

23.9

17.8

13.7

18.7

3.4

4.9

13.7

NORSE sep

23.0

17.4

33.4

39.2

13.2

7.2

22.2

NORSE sep

35.7

30.4

24.3

34.4

4.8

6.5

22.7

9

X BAI

āˆ’Ā 10.1

āˆ’Ā 12.7

āˆ’Ā 8.7

āˆ’Ā 14.8

āˆ’Ā 3.8

āˆ’Ā 6.2

āˆ’Ā 9.4

X BAI

āˆ’Ā 7.9

āˆ’Ā 3.1

āˆ’Ā 6.5

āˆ’Ā 13.0

āˆ’Ā 1.2

āˆ’Ā 3.7

āˆ’Ā 5.9

22.3

Y RFM

22.5

16.9

18.0

21.5

5.5

6.9

15.2

Y RFM

25.2

17.0

16.6

18.2

2.7

4.5

14.0

NORSE sep

32.6

29.6

26.7

36.3

9.3

13.1

24.6

NORSE sep

33.1

20.1

23.1

31.2

3.9

8.2

19.9

10

X BMI

āˆ’Ā 11.7

āˆ’Ā 15.4

āˆ’Ā 9.4

āˆ’Ā 7.8

āˆ’Ā 7.1

āˆ’Ā 8.4

āˆ’Ā 10.0

X BMI

āˆ’Ā 7.5

āˆ’Ā 8.7

āˆ’Ā 6.8

āˆ’Ā 12.1

āˆ’Ā 2.9

āˆ’Ā 6.2

āˆ’Ā 7.4

22.2

Y WHtR

19.5

19.8

15.0

12.9

7.8

9.7

14.1

Y WHtR

18.4

17.6

14.4

17.3

2.9

7.7

13.1

NORSE sep

31.2

35.2

24.4

20.6

14.9

18.0

24.1

NORSE sep

25.9

26.3

21.3

29.4

5.8

13.9

20.4

  1. NORSE values calculated for 10 different biomarker pairs (in rows) and 6 health conditions (in columns), for adult men and women.
  2. In average 2D models yield higher NORSE values than in 1D models.
  3. Average values for each gender are in bold.