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1 ic height, weight, and BMI Z-scores CDC 2000 growth charts.
2 ase Control and Prevention (CDC) BMI-for-age growth charts.
3 of new WHO growth charts with that of other growth charts.
4 tion used in the current CDC body mass index growth charts.
5 rcentile of the sex-specific CDC BMI-for-age growth charts.
6 ers for Disease Control and Prevention (CDC) growth charts.
7 ters for Disease Control and Prevention 2000 growth charts.
8 tween the WHO growth charts and the 2000 CDC growth charts.
9 ercentile of the weight-for-recumbent-length growth charts.
10 ters for Disease Control and Prevention 2000 Growth Charts.
11 above the 85th percentile of the BMI-for-age growth charts.
12 Disease Control and Prevention standardized growth charts.
13 alues of BMI-for-age with the use of the CDC growth charts.
14 for-age by using simple functions of the CDC growth charts.
15 e sex-specific body mass index (BMI) for age growth charts.
16 0 Centers for Disease Control and Prevention growth charts.
17 e sex-specific body mass index (BMI) for age growth charts.
18 cific 95th percentile on the CDC BMI-for-age growth charts.
19 owth, including the selection of appropriate growth charts.
20 the 97th percentile of the 2000 BMI-for-age growth charts, 16.3% (95% CI, 14.5%-18.1%) were at or ab
21 above the 97th percentile of the BMI-for-age growth charts; 16.9% (95% CI, 14.1%-19.6%) were at or ab
22 e Centers for Disease Control and Prevention growth charts), 46.9% were overweight, 36.4% had class I
23 h percentile of the sex-specific BMI-for-age growth chart) among children and prevalence of overweigh
24 ers for Disease Control and Prevention (CDC) growth charts and from the Cooper Institute (FitnessGram
27 0 Centers for Disease Control and Prevention growth charts, approximately 17% of children and adolesc
30 Centers for Disease Control and Prevention's growth chart data were used to calculate age- and sex-sp
31 imming on empirical percentiles from the CDC growth-chart data set relative to the smoothed WHO perce
32 rer performance compared with other existing growth charts for early detection of target conditions.
34 a high priority to provide the present fetal growth charts for estimated fetal weight (EFW) and commo
35 trategies used to develop existing postnatal growth charts for preterm infants and their methodologic
37 0 Centers for Disease Control and Prevention growth charts for the United States include population r
39 al gave lower estimates than did the CDC-US growth charts for young children but higher estimates fo
42 h BMI-for-age (> or = 95th percentile of the growth charts) had high adiposity, and few children with
43 a high BMI percentile on the CDC BMI-for-age growth charts has a high risk of being overweight or obe
44 ers for Disease Control and Prevention (CDC) growth charts included lambda-mu-sigma (LMS) parameters
45 s for Disease Control and Prevention (CDC-US growth charts), international standards proposed by Cole
48 3 sets of reference BMI values: the revised growth charts of the Centers for Disease Control and Pre
49 h percentile of the sex-specific BMI-for-age growth chart or BMI >/=30.0) on risk of severe obesity i
52 Health Organization body mass index-for-age growth charts to obtain a percentile ranking and then gr
53 e neurocognitive profile and neurocognitive 'growth charts', we compared cross-sectionally 137 indivi
55 -height and BMI-for-age to construct the WHO growth charts, WHO excluded observations that were consi
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