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1 ed to calculate BWPs according to the Fenton growth chart.
2 assified by the BMI-for-age based on the WHO growth charts.
3  the 10th or 90th centiles, across different growth charts.
4 tion used in the current CDC body mass index growth charts.
5 cific 95th percentile on the CDC BMI-for-age growth charts.
6 owth, including the selection of appropriate growth charts.
7 ic height, weight, and BMI Z-scores CDC 2000 growth charts.
8 ase Control and Prevention (CDC) BMI-for-age growth charts.
9  of new WHO growth charts with that of other growth charts.
10 rcentile of the sex-specific CDC BMI-for-age growth charts.
11 ers for Disease Control and Prevention (CDC) growth charts.
12 ters for Disease Control and Prevention 2000 growth charts.
13 tween the WHO growth charts and the 2000 CDC growth charts.
14 ercentile of the weight-for-recumbent-length growth charts.
15 ters for Disease Control and Prevention 2000 Growth Charts.
16 above the 85th percentile of the BMI-for-age growth charts.
17 calculated using recent national or European growth charts.
18  Disease Control and Prevention standardized growth charts.
19 alues of BMI-for-age with the use of the CDC growth charts.
20 for-age by using simple functions of the CDC growth charts.
21 e sex-specific body mass index (BMI) for age growth charts.
22 0 Centers for Disease Control and Prevention growth charts.
23 e sex-specific body mass index (BMI) for age growth charts.
24 ores and compared to WHO reference and US CP growth charts.
25 g Centers for Disease Control and Prevention growth charts.
26 rowth in line with World Health Organization growth charts.
27 g Centers for Disease Control and Prevention growth charts.
28 e Centers for Disease Control and Prevention growth charts.
29  charts to test the performance of the eaCSF growth charts.
30 ferences in growth; and to assess the fit of growth charts.
31  the 97th percentile of the 2000 BMI-for-age growth charts, 16.3% (95% CI, 14.5%-18.1%) were at or ab
32 above the 97th percentile of the BMI-for-age growth charts; 16.9% (95% CI, 14.1%-19.6%) were at or ab
33 e Centers for Disease Control and Prevention growth charts), 46.9% were overweight, 36.4% had class I
34 urement (<3% according to standardized child growth charts), abnormal head circumference measurement
35 h percentile of the sex-specific BMI-for-age growth chart) among children and prevalence of overweigh
36 i in patients by comparing them to normative growth charts and analyzing within-subject feature asymm
37  open-access web-visualization for cell-type growth charts and developmental atlases for all postnata
38 ers for Disease Control and Prevention (CDC) growth charts and from the Cooper Institute (FitnessGram
39                             Body-composition growth charts and SDSs for 5-20 y were based on a final
40  for some of the differences between the WHO growth charts and the 2000 CDC growth charts.
41 (<3% or >97% according to standardized child growth charts), and visits without developmental data or
42  defined as a BMI >=98th centile on the UK90 growth chart, and difference in comparison with the esti
43 0 Centers for Disease Control and Prevention growth charts, approximately 17% of children and adolesc
44 ed that individual deviations from normative growth charts are significantly associated with infant c
45    MRI-derived intrauterine body composition growth charts are valuable for tracking growth in preter
46 performance across childhood are needed for "growth charting" cognitive development.
47                                          The growth chart, comparing neurocognitive age based on perf
48 assical brain growth charts, high-definition growth charts could quantify regional volumetric growth
49 eline was also assessed by analysis of organ growth charts created from automated parcellations of 91
50 Centers for Disease Control and Prevention's growth chart data were used to calculate age- and sex-sp
51 imming on empirical percentiles from the CDC growth-chart data set relative to the smoothed WHO perce
52                                        Brain growth charts derived from clinical controls with limite
53 in growth charts were highly correlated with growth charts derived from research data sets (22 studie
54 Health Organization standards and the Fenton growth chart for premature infants.
55 uroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height a
56 S Centers for Disease Control and Prevention growth charts for children 6-36 months old and according
57 rer performance compared with other existing growth charts for early detection of target conditions.
58                This study provides WHO fetal growth charts for EFW and common ultrasound biometric me
59 a high priority to provide the present fetal growth charts for estimated fetal weight (EFW) and commo
60 trategies used to develop existing postnatal growth charts for preterm infants and their methodologic
61  primary objective the creation of postnatal growth charts for preterm infants, was conducted.
62 0 Centers for Disease Control and Prevention growth charts for the United States include population r
63 0 Centers for Disease Control and Prevention growth charts for the United States.
64 model longitudinal data to create predictive growth charts for weight in preterm infants from birth t
65  al gave lower estimates than did the CDC-US growth charts for young children but higher estimates fo
66  of the body mass index (BMI; in kg/m(2)) in growth charts for young males and females.
67 n Centers for Disease Control and Prevention growth charts from 2000.
68 imaging pathology (SLIPs) and to evaluate if growth charts from curated clinical MRI scans differed f
69                Two studies reported that WHO growth charts had poorer performance compared with other
70 h BMI-for-age (> or = 95th percentile of the growth charts) had high adiposity, and few children with
71 a high BMI percentile on the CDC BMI-for-age growth charts has a high risk of being overweight or obe
72                  Compared to classical brain growth charts, high-definition growth charts could quant
73 ers for Disease Control and Prevention (CDC) growth charts included lambda-mu-sigma (LMS) parameters
74 s for Disease Control and Prevention (CDC-US growth charts), international standards proposed by Cole
75             Although any single point on the growth chart is not very informative, when several growt
76                                              Growth charting methods are widely used to assess the de
77      Developing circuits were identified and growth charting of age-related connections was performed
78                The authors created normative growth charts of amygdala functional connectivity in typ
79                                              Growth charts of eaCSF were modeled using the clinical c
80  3 sets of reference BMI values: the revised growth charts of the Centers for Disease Control and Pre
81 alence (defined as >95th centile on the UK90 growth charts) of 1.6 percentage points (PPs) (95% confi
82 h percentile of the sex-specific BMI-for-age growth chart or BMI >/=30.0) on risk of severe obesity i
83  body mass index (BMI) that does not require growth charts or percentiles.
84                        Age- and sex-specific growth charts produced by the Centers for Disease Contro
85 uild extra-axial cerebrospinal fluid (eaCSF) growth charts that define key diagnostic criteria for be
86                     Using neurodevelopmental growth charts to identify a lack of normative developmen
87  Health Organization body mass index-for-age growth charts to obtain a percentile ranking and then gr
88                       Analogous to normative growth charts used in paediatric medicine for plotting c
89 roduce representative longitudinal reference growth charts using these methods.
90 e neurocognitive profile and neurocognitive 'growth charts', we compared cross-sectionally 137 indivi
91                             Body composition growth charts were based on a total of 2026 measurements
92                               Clinical brain growth charts were highly correlated with growth charts
93 e segmentation pipelines, and clinical brain growth charts were quantitatively compared with charts d
94 -height and BMI-for-age to construct the WHO growth charts, WHO excluded observations that were consi
95 gh 35, and generate sex-specific iTMT normal growth charts with percentiles.
96 studies comparing the performance of new WHO growth charts with that of other growth charts.