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Development of standards for rapid assessment of nutritional status: Colombian children
The American Journal of Clinical Nutrition
|January 1, 1981
Insights
This study presents a method to create polynomial equations for predicting child weight and height based on age. These equations were developed using data from Colombian children aged 6 to 16 years.
Area of Science:
- Pediatrics
- Biostatistics
- Anthropometry
Background:
- Accurate anthropometric data is crucial for monitoring child growth and development.
- Existing growth charts and models may not fully capture specific population variations.
Purpose of the Study:
- To develop a novel method for deriving polynomial equations.
- To establish age-specific polynomial models for weight and height in children.
- To illustrate the application of this method using Colombian child data.
Main Methods:
- Utilized a dataset of Colombian boys and girls aged 6 to 16 years.
- Employed polynomial regression analysis to model relationships between age, weight, and height.
- Derived specific polynomial equations to describe these anthropometric parameters.
Main Results:
- Successfully derived polynomial equations that describe weight-for-age and height-for-age.
- Demonstrated the procedure's effectiveness with Colombian pediatric anthropometric data.
- Provided a quantitative method for assessing growth patterns in the studied age group.
Conclusions:
- The described method offers a robust approach for generating predictive growth equations.
- Polynomial modeling can effectively represent weight and height trajectories in children.
- This methodology can be adapted for diverse populations to refine growth assessment tools.
Abstract:
A method is described for deriving polynomial equations which describe weight and height for age and weight and height for children between 6 and 16 yr of age. Data for Colombian boys and girls have been utilized to illustrate the procedure.