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Updated: Jun 26, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Validation of predictive equations for weight and height using a metric tape
E I Rabito1, M S Mialich, E Z Martínez
1Nutrition Division, Department of Internal Medicine, Faculty of Medicine, University of Sao Paolo (USP), Ribeirão Preto, Brazil.
New predictive equations offer accurate weight and height estimations for hospitalized patients when standard measurements are not feasible. These equations simplify nutritional status assessment using readily available anthropometric data.
Area of Science:
- Anthropometry
- Clinical Nutrition
- Biostatistics
Background:
- Accurate weight and height are crucial for nutritional status evaluation.
- Standard measurements can be challenging in certain clinical settings.
- Predictive equations offer an alternative for estimating these vital parameters.
Purpose of the Study:
- To validate three predictive equations for weight and two for height developed by Rabito.
- To assess the agreement of these equations with those proposed by Chumlea.
Main Methods:
- Collected data included sex, age, and various anthropometric measurements (weight, height, skinfolds, circumferences, arm length, half span).
- Statistical analysis employed Lin's coefficient for equation agreement and St. Laurent's coefficient for comparing estimated vs. real values.
Main Results:
- Equations I and II demonstrated high agreement for weight estimation.
- Equations IV and V showed high agreement for height estimation.
- St. Laurent's coefficient confirmed the validity of equation III for weight and equation V for height.
Conclusions:
- Equation III for weight and equation VH for height are recommended for use in hospitalized patients due to their ease of application.
- Further validation of these predictive equations in diverse settings is warranted.
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