i
A method for calculating BMI z-scores and percentiles above the 95th percentile of the CDC growth charts
-
9 2020
-
-
Source: Ann Hum Biol. 47(6):514-521
[PDF-394.69 KB]
Details:
-
Alternative Title:Ann Hum Biol
-
Personal Author:
-
Description:Background:
The 2000 CDC growth charts are based on national data collected between 1963 and 1994 and include a set of selected percentiles between the 3rd and 97th and LMS parameters that can be used to obtain other percentiles and associated z-scores. Obesity is defined as a sex- and age-specific body mass index (BMI) at or above the 95th percentile. Extrapolating beyond the 97th percentile is not recommended and leads to compressed z-score values.
Aim:
This study attempts to overcome this limitation by constructing a new method for calculating BMI distributions above the 95th percentile using an extended reference population.
Subjects and methods:
Data from youth at or above the 95th percentile of BMI-for-age in national surveys between 1963 and 2016 were modelled as half-normal distributions. Scale parameters for these distributions were estimated at each sex-specific 6-month age-interval, from 24 to 239months, and then smoothed as a function of age using regression procedures.
Results:
The modelled distributions above the 95th percentile can be used to calculate percentiles and non-compressed z-scores for extreme BMI values among youth.
Conclusion:
This method can be used, in conjunction with the current CDC BMI-for-age growth charts, to track extreme values of BMI among youth.
-
Subjects:
-
Keywords:
-
Source:
-
Pubmed ID:32901504
-
Pubmed Central ID:PMC11232929
-
Document Type:
-
Funding:
-
Volume:47
-
Issue:6
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
