U.S. flag An official website of the United States government.
Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

i

A method for calculating BMI z-scores and percentiles above the 95th percentile of the CDC growth charts

Supporting Files
File Language:
English


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:
    Ann Hum Biol. 47(6):514-521
  • Pubmed ID:
    32901504
  • Pubmed Central ID:
    PMC11232929
  • Document Type:
  • Funding:
  • Volume:
    47
  • Issue:
    6
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:80989d363d99dc25dccf537d8dc694340cd6dfaeaf2434b7ce708cd4da2ece93e963a8f2439ae235b953a906fd87e7ef5a80a0458fd09086694da66cf67082e6
  • Download URL:
  • File Type:
    Filetype[PDF - 394.69 KB ]
File Language:
English
ON THIS PAGE
 Was this page helpful?
 Found an issue?
Send us an email at:
CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.

As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.