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Table 5 BMI-for-age z-score at 0, ±1, ±2, and ± 3 SD for Chinese boys and girls from birth to 24 months

From: Growth patterns from birth to 24 months in Chinese children: a birth cohorts study across China

Age (month)

Boys

Girls

L

M

S

-3SD

-2SD

-1SD

0SD

1SD

2SD

3SD

L

M

S

-3SD

-2SD

-1SD

0SD

1SD

2SD

3SD

0

0.1590

13.4

0.0958

10.0

11.0

12.2

13.4

14.7

16.2

17.8

−0.1727

13.3

0.0920

10.1

11.1

12.1

13.3

14.5

16.0

17.6

1

0.7178

15.6

0.0943

11.4

12.8

14.2

15.6

17.1

18.6

20.2

−0.0900

15.4

0.0898

11.8

12.9

14.1

15.4

16.8

18.4

20.2

2

0.6937

16.7

0.0930

12.3

13.7

15.2

16.7

18.3

19.9

21.6

−0.1078

16.2

0.0891

12.5

13.6

14.8

16.2

17.7

19.4

21.3

3

0.6483

17.7

0.0920

13.1

14.6

16.1

17.7

19.4

21.1

22.8

−0.1322

17.2

0.0886

13.3

14.5

15.8

17.2

18.8

20.6

22.6

4

0.6054

18.1

0.0909

13.5

14.9

16.5

18.1

19.8

21.5

23.3

−0.1567

17.7

0.0880

13.6

14.8

16.2

17.7

19.3

21.1

23.1

5

0.5683

18.2

0.0899

13.6

15.1

16.6

18.2

19.9

21.6

23.4

−0.1810

17.7

0.0875

13.7

14.9

16.3

17.7

19.4

21.2

23.2

6

0.5384

18.2

0.0890

13.6

15.1

16.6

18.2

19.8

21.6

23.4

−0.2055

17.7

0.0869

13.8

15.0

16.3

17.7

19.4

21.2

23.2

7

0.5161

18.2

0.0880

13.7

15.1

16.6

18.2

19.8

21.5

23.3

−0.2298

17.8

0.0863

13.8

15.0

16.3

17.8

19.4

21.2

23.2

8

0.5000

18.1

0.0871

13.7

15.1

16.6

18.1

19.7

21.4

23.2

−0.2535

17.7

0.0857

13.8

15.0

16.3

17.7

19.3

21.1

23.1

9

0.4888

18.0

0.0862

13.7

15.0

16.5

18.0

19.6

21.3

23.0

−0.2763

17.6

0.0851

13.8

14.9

16.2

17.6

19.2

21.0

23.0

10

0.4814

17.9

0.0854

13.6

14.9

16.4

17.9

19.4

21.0

22.7

−0.2981

17.5

0.0845

13.7

14.8

16.1

17.5

19.0

20.8

22.7

11

0.4767

17.7

0.0846

13.5

14.8

16.2

17.7

19.2

20.8

22.5

−0.3192

17.3

0.0839

13.6

14.7

15.9

17.3

18.8

20.6

22.5

12

0.4735

17.6

0.0838

13.4

14.7

16.1

17.6

19.1

20.6

22.3

−0.3398

17.2

0.0834

13.5

14.6

15.8

17.2

18.7

20.4

22.3

13

0.4713

17.4

0.0830

13.4

14.7

16.0

17.4

18.9

20.5

22.1

−0.3598

17.0

0.0828

13.4

14.5

15.7

17.0

18.5

20.2

22.1

14

0.4693

17.3

0.0823

13.3

14.6

15.9

17.3

18.8

20.3

21.9

−0.3794

16.9

0.0823

13.4

14.4

15.6

16.9

18.4

20.0

21.9

15

0.4673

17.2

0.0816

13.3

14.5

15.8

17.2

18.6

20.1

21.7

−0.3984

16.8

0.0818

13.3

14.3

15.5

16.8

18.2

19.9

21.7

16

0.4654

17.1

0.0809

13.2

14.4

15.7

17.1

18.5

19.9

21.5

−0.4169

16.7

0.0814

13.2

14.2

15.4

16.7

18.1

19.7

21.5

17

0.4635

16.9

0.0802

13.1

14.3

15.6

16.9

18.3

19.7

21.3

−0.4349

16.5

0.0809

13.1

14.1

15.3

16.5

18.0

19.6

21.4

18

0.4616

16.8

0.0795

13.0

14.2

15.5

16.8

18.2

19.6

21.1

−0.4524

16.4

0.0805

13.1

14.1

15.2

16.4

17.8

19.4

21.2

19

0.4598

16.7

0.0789

13.0

14.2

15.4

16.7

18.0

19.4

20.9

−0.4695

16.3

0.0801

13.0

14.0

15.1

16.3

17.7

19.3

21.1

20

0.4581

16.6

0.0783

12.9

14.1

15.3

16.6

17.9

19.3

20.7

−0.4862

16.2

0.0797

13.0

13.9

15.0

16.2

17.6

19.2

20.9

21

0.4564

16.5

0.0777

12.9

14.0

15.2

16.5

17.8

19.2

20.6

−0.5024

16.2

0.0793

12.9

13.9

15.0

16.2

17.5

19.1

20.8

22

0.4547

16.4

0.0772

12.8

14.0

15.2

16.4

17.7

19.0

20.4

−0.5181

16.1

0.0789

12.9

13.8

14.9

16.1

17.4

19.0

20.7

23

0.4531

16.3

0.0766

12.8

13.9

15.1

16.3

17.6

18.9

20.3

−0.5334

16.0

0.0786

12.8

13.8

14.8

16.0

17.4

18.9

20.6

24

0.4516

16.2

0.0761

12.8

13.9

15.0

16.2

17.5

18.8

20.2

−0.5482

16.0

0.0782

12.8

13.7

14.8

16.0

17.3

18.8

20.5