Related Experiment Video
Updated: Mar 7, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Trends in Anthropometric Measures Among US Children 6 to 23 Months, 1976-2014
Lara J Akinbami1,2, Brian K Kit3,2, Margaret D Carroll3
1National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, Maryland; and lea8@cdc.gov.
Insights
Childhood growth surveillance shows stable weight-for-age and weight-for-length trends but a decrease in high length-for-age. Non-Hispanic black children experienced increased weight gain over time.
Area of Science:
- Pediatric Nutrition
- Public Health Surveillance
- Growth Monitoring
Background:
- Children's growth surveillance is crucial for assessing population nutritional status.
- It helps identify risks for adverse health outcomes in early childhood.
Purpose of the Study:
- To analyze trends in length-for-age, weight-for-age, and weight-for-length.
- To describe patterns of early childhood weight gain in US children aged 6-23 months.
Main Methods:
- Utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning multiple periods from 1976-2014.
- Calculated z-scores relative to World Health Organization growth standards to identify low (< -2) and high (≥ +2) indicators.
- Estimated relative weight gain from birth to survey participation, analyzing trends by race/Hispanic origin.
Main Results:
- Prevalence of low/high length-for-age, weight-for-age, and weight-for-length in 2011-2014 reported.
- A significant decrease in high length-for-age was observed from 1976-1980 to 2011-2014 (5.5% to 3.7%).
- No significant overall trends in weight-for-age or weight-for-length were found; however, non-Hispanic black children showed increased weight gain over time.
Conclusions:
- No significant trends in low or high weight-for-age and weight-for-length were identified in children aged 6-23 months between 1976-1980 and 2011-2014.
- The percentage of children with high length-for-age decreased significantly during this period.
- A notable trend of increased relative weight gain was observed specifically among non-Hispanic black children.
Background And Objectives:
The surveillance of children's growth reflects a population's nutritional status and risk for adverse outcomes. This study aimed to describe trends in length-for-age, weight-for-age, weight-for-length, and early childhood weight gain among US children aged 6 to 23 months.
Methods:
We analyzed NHANES data from 1976-1980, 1988-1994, 1999-2002, 2003-2006, 2007-2010, and 2011-2014. We estimated z scores < -2 (low) and ≥+2 (high) in comparison with World Health Organization growth standards for each indicator. Weight gain (relative to sex-age-specific medians) from birth until survey participation was estimated. Trends were assessed by low birth weight status and race/Hispanic origin. Race/Hispanic origin trends were assessed from 1988-1994 to 2011-2014.
Results:
In 2011-2014, the prevalence of low and high length-for-age was 3.3% (SE, 0.8) and 3.7% (SE, 0.8); weight-for-age was 0.6% (SE, 0.3) and 7.0% (SE, 1.1); and weight-for-length was 1.0% (SE, 0.4) and 7.7% (SE, 1.2). The only significant trend was a decrease in high length-for-age (5.5% in 1976-1980 vs 3.7% in 2011-2014; P = .04). Relative weight gain between birth and survey participation did not differ over time, although trends differed by race/Hispanic origin. Non-Hispanic black children gained more weight between birth and survey participation in 2011-2014 versus 1988-1994, versus no change among other groups.
Conclusions:
Between 1976-1980 and 2011-2014, there were no significant trends in low or high weight-for-age and weight-for-length among 6- to 23-month-old children whereas the percent with high length-for-age decreased. A significant trend in relative weight gain between birth and survey participation was observed among non-Hispanic black children.
Related Concept Videos
Nature and Nurture
Regression Toward the Mean
Signs of Puberty
Variation: Normal Distribution, Range, and Standard Deviation
Central Tendency: Analysis
The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...
Pharmacokinetics in Pediatric Patients: Drug Metabolism

