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Anthropometric reference data for children and adults: U.S. population, 1999-2002
Margaret A McDowell1, Cheryl D Fryar, Rosemarie Hirsch
1Division of Health and Nutrition Examination Surveys, U.S. DEpartment of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, Hyattsville, Maryland 20782, USA.
Advance Data
|July 16, 2005
Summary
This study provides national anthropometric reference data for the U.S. population using 1999-2002 National Health and Nutrition Examination Survey (NHANES) data. These findings are crucial for monitoring child growth and prevalent conditions like obesity.
Area of Science:
- Public Health
- Anthropometry
- Biostatistics
Background:
- Established anthropometric reference data are essential for assessing population health and growth.
- Previous National Health Examination Surveys (NHES) and National Health and Nutrition Examination Surveys (NHANES) provided historical data.
- Updated reference data are needed to reflect current U.S. population characteristics.
Purpose of the Study:
- To present national anthropometric reference data for the U.S. population across all age groups.
- To provide weighted population means, standard errors, and percentiles.
- To enable comparisons with historical anthropometric data and track trends.
Main Methods:
- Utilized data from the National Health and Nutrition Examination Survey (NHANES) conducted from 1999 to 2002.
- Calculated weighted population means, standard errors of the means, and selected percentiles.
- Stratified data analysis by sex, race or ethnic group, and age.
Main Results:
- Presented comprehensive national anthropometric reference data for the U.S. population.
- Provided detailed statistical measures (means, standard errors, percentiles) for various demographic groups.
- Enabled comparison of current data with historical trends in child growth and development.
Conclusions:
- The 1999-2002 NHANES data offer valuable updated anthropometric references for the U.S. population.
- These data are critical for monitoring growth, development, and prevalent health conditions like overweight and obesity.
- The findings contribute to understanding long-term trends in population anthropometry.