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Reference growth curves to identify weight status (underweight, overweight or obesity) in children and adolescents: systematic review

Published online by Cambridge University Press:  25 January 2023

Carlos Alencar Souza Alves Junior*
Affiliation:
Federal University of Santa Catarina, Research Center in Kinanthropometry and Human Performance, Sports Center, Florianópolis, SC, Brazil
Priscila Custódio Martins
Affiliation:
Federal University of Santa Catarina, Research Center in Kinanthropometry and Human Performance, Sports Center, Florianópolis, SC, Brazil
Luis Alberto Moreno Aznar
Affiliation:
Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Centro de Investigación Biomédica em Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
Diego Augusto Santos Silva
Affiliation:
Federal University of Santa Catarina, Research Center in Kinanthropometry and Human Performance, Sports Center, Florianópolis, SC, Brazil Faculty of Health Sciences, Universidad Autónoma de Chile, Providencia, Chile
*
*Corresponding author: Carlos Alencar Souza Alves Junior, email alvesjunior.cas@gmail.com

Abstract

The identification of somatic growth, through reference curves, can be used to create strategies and public policies to reduce public health problems such as malnutrition and obesity and to identify underweight, overweight and obesity. The purpose of this systematic review was to identify studies providing reference growth curves for weight status in children and adolescents. A systematic search was conducted in eight databases and in gray literature (Google scholar). To assess the risk of bias/methodological quality of studies, the National Institutes of Health (NIH) Quality Assessment Tool for Observational Cohort and Cross-sectional Studies (NHLBI) was used. Overall, 86 studies that met the inclusion criteria were included. Through the values   of reference growth curves for the identification of underweight, overweight and obesity, it was possible to verify that there is great variability among percentiles for the identification of underweight, overweight and obesity. The most prevalent percentiles for underweight were P3 and P5; for overweight, the most prevalent was P85 and the most prevalent percentiles for obesity were P95 and P97. The most prevalent anthropometric indicators were Body Mass Index (BMI), Waist Circumference (WC), Body Mass (BM) for age and height for age. Conclusion: Such data can demonstrate that the optimal growth must be reached, through the standard growth curves, but that the reference curves demonstrate a cut of the population growth, raising possible variables that can influence the optimal growth, such as an increase in the practice of physical activities and an awareness of proper nutrition.

Type
Systematic Review and Meta-Analysis
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Nutrition Society

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