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. Author manuscript; available in PMC: 2011 Feb 28.
Published in final edited form as: Stat Med. 2010 Feb 28;29(5):558–572. doi: 10.1002/sim.3810

Table 3.

1Comparison of Percentage of Children with high BMI by Age, Gender and Race based on Double-Kernel versus 2000 CDC Percentile Curves among US Children, 2003–2006 (SE's are in parentheses)

All Races
Non-Hispanic White
Non-Hispanic Black
Mexican-American
DK2 CDC3 DK-CDC4 DK CDC DK-CDC DK CDC DK-CDC DK CDC DK-CDC
Boys BMI≥95th percentile of the Growth Charts
2~5 12.0 (1.2) 12.8 (1.2) −0.8 (0.3)* 10.5 (2.2) 11.1 (2.2) −0.6 (0.4) 11.6 (2.4) 13.3 (2.5) −1.6 (0.8)* 18.4 (2.8) 18.8 (2.8) −0.4 (0.6)
6~11 18.2 (1.6) 18.1 (1.7) 0.2 (0.4) 16.3 (2.6) 15.5 (2.8) 0.7 (0.7) 17.5 (2.5) 18.6 (2.6) −1.1 (0.6) 27.0 (2.1) 27.5 (2.1) −0.5 (0.6)
12~15 17.4 (2.0) 17.0 (2.0) 0.5 (0.3) 16.2 (2.5) 15.6 (2.5) 0.6 (0.4) 19.2 (2.0) 19.2 (2.0) 0.0 (0.0) 19.6 (2.9) 20.0 (2.7) −0.4 (0.5)
16~19 19.0 (2.2) 19.6 (2.3) −0.6 (0.3)* 18.5 (2.8) 19.1 (2.9) −0.6 (0.4) 17.0 (1.5) 17.7 (1.6) −0.7 (0.4) 23.7 (2.3) 24.7 (2.5) −1.0 (0.6)
Girls
2~5 9.6 (1.1) 12.1 (1.4) −2.5 (0.7)** 8.0 (1.7) 10.2 (1.9) −2.2 (1.0)* 13.3 (1.6) 16.6 (2.3) −3.3 (1.4)* 11.4 (2.1) 14.5 (2.7) −3.1 (1.0)**
6~11 15.6 (1.4) 15.8 (1.4) −0.2 (0.1) 14.4 (2.1) 14.4 (2.1) 0.0 (0.0) 24.3 (1.8) 24.0 (2.0) 0.2 (0.6) 17.9 (2.6) 19.7 (2.6) −1.8 (0.8)*
12~15 16.9 (2.1) 17.9 (2.2) −1.0 (0.3)** 15.0 (3.2) 15.6 (3.3) −0.6 (0.4) 23.4 (1.9) 24.9 (1.9) −1.4 (0.6)* 20.1 (1.8) 21.4 (1.8) −1.3 (0.7)
16~19 16.3 (2.0) 15.8 (1.9) 0.5 (0.3)* 13.6 (2.1) 13.4 (2.0) 0.2 (0.2) 32.9 (4.5) 30.8 (3.6) 2.2 (1.2)* 18.9 (2.1) 17.9 (2.2) 1.0 (0.5)

Boys BMI≥85th percentile of the Growth Charts
2~5 23.9 (1.9) 25.5 (2.0) −1.6 (0.7)* 23.9 (2.9) 25.4 (2.9) −1.6 (1.0) 22.1 (3.2) 23.2 (3.3) −1.1 (0.5)* 28.9 (3.1) 32.4 (3.2) −3.5 (1.3)**
6~11 34.6 (2.3) 33.9 (2.3) 0.7 (0.4) 32.6 (3.7) 31.7 (3.6) 1.0 (0.6) 34.1 (3.2) 33.8 (3.6) 0.4 (0.7) 47.6 (2.4) 47.1 (2.5) 0.5 (0.3)
12~15 35.0 (2.7) 34.9 (2.6) 0.1 (0.4) 34.6 (4.0) 34.6 (3.9) 0.0 (0.6) 33.9 (2.2) 33.5 (2.2) 0.4 (0.0)** 39.0 (3.0) 39.0 (3.0) 0.0 (0.0)
16~19 35.1 (2.2) 35.0 (2.3) 0.1 (0.1) 34.4 (2.9) 34.4 (2.9) 0.0 (0.0) 31.5 (2.3) 30.6 (2.5) 0.9 (0.4)* 41.9 (3.2) 42.3 (3.2) −0.4 (0.4)
Girls
2~5 21.6 (1.7) 23.3 (1.8) −1.6 (0.5)** 19.3 (2.5) 20.9 (2.6) −1.6 (1.0) 26.0 (2.0) 26.4 (2.1) −0.4 (0.4) 24.1 (2.7) 27.3 (2.8) −3.3 (0.9)**
6~11 33.3 (2.2) 32.6 (2.4) 0.6 (0.4) 32.4 (3.2) 31.5 (3.6) 0.9 (0.8) 40.0 (2.3) 40.1 (2.3) 0.0 (0.4) 38.9 (3.2) 38.1 (3.3) 0.8 (0.7)
12~15 32.2 (2.3) 35.4 (2.4) −3.2 (0.8)** 31.9 (3.4) 35.5 (3.5) −3.7 (1.2)** 37.4 (2.4) 40.2 (2.7) −2.8 (1.1)* 34.5 (2.8) 37.6 (2.9) −3.1 (1.0)**
16~19 33.7 (1.9) 31.2 (2.0) 2.5 (0.6)** 30.4 (2.4) 27.8 (2.5) 2.6 (0.9)** 51.6 (3.5) 49.4 (3.5) 2.2 (0.8)** 38.6 (3.0) 36.5 (3.0) 2.1 (0.7)**
1

Discrepancies of the differences between the columns of DK and CDC from the third column (DK-CDC) are due to rounding error.

2

Double-Kernel

3

Centers for Disease Control and Prevention

4

Difference in prevalences between those based on the double-kernel and those based on the 2000 CDC percentile curves.

*

indicate that the double-kernel estimate is statistically different from the CDC estimate with p-value<.05 and <.01, respectively.

**

indicate that the double-kernel estimate is statistically different from the CDC estimate with p-value<.05 and <.01, respectively.