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Nutrimetry: BMI assessment as a function of development.
Jorge Enrique Selem-Solís1, Alberto Alcocer-Gamboa2, Mónica Hattori-Hara2
1Centro de Salud de Tenabo. Secretaría de Salud del Estado de Campeche, Tenabo, Campeche, México.
Endocrinologia, Diabetes Y Nutricion
|December 26, 2017
Summary
Nutrimetry offers a novel epidemiological approach to assess child and adolescent nutrition by cross-referencing body mass index (BMI) and height data. This method reveals nutritional status variations across different regions and demographics, aiding targeted interventions.
Area of Science:
- Pediatric Nutrition
- Epidemiology
- Anthropometry
Background:
- Malnutrition in children and adolescents requires robust nutritional assessment.
- Current clinical assessments of nutritional indicators like BMI, height, and weight are not epidemiologically applied.
- A gap exists in epidemiological methods for bivariate interpretation of anthropometric data.
Purpose of the Study:
- To introduce "nutrimetry," a simple method for bivariate interpretation of anthropometric data.
- To enable both clinical and epidemiological nutritional assessments.
- To address the need for improved epidemiological tools in child and adolescent nutrition.
Main Methods:
- Analysis of data from 41,001 children and adolescents (0-19 years) from Mexico's National Health and Nutrition Survey 2012.
- Cross-referencing BMI-for-age z-scores (BAZ) with height-for-age z-scores (HAZ) using WHO standards.
- Calculation and comparison of conditional prevalences in a 3x3 grid.
Main Results:
- The nutrimetry method identified subgroups with heterogeneous nutritional status within BAZ categories.
- Observed variations in nutritional status patterns across Mexican states, age groups, and sex.
- Demonstrated the utility of BAZ and HAZ cross-referencing for revealing sample heterogeneity.
Conclusions:
- Nutrimetry is an accessible epidemiological tool for nutritional assessment.
- The method effectively detects unexpected distributions of conditional prevalences.
- Graphical representation aids communication, and enriched BAZ interpretation guides public health interventions.
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