School of Medicine Publications

Document Type

Article

Publication Date

11-17-2025

Abstract

Background/Objectives: The Edmonton Obesity Staging System (EOSS) was developed to stage the obesity in adult populations. Subsequently, this staging system was designed for pediatric populations (EOSS-P). This study aimed to describe obesity severity using EOSS-P and correlate it with BMI classes in Mexican children and adolescents living with obesity. Methods: This is a cross-sectional analysis carried out with data from school-age children and adolescents living with obesity who were referred to the Pediatric Obesity Clinic at the Child Welfare Unit at the General Hospital of Mexico “Dr. Eduardo Liceaga”. Obesity was staged using the EOSS-P. To evaluate the association between obesity classes and each EOSS-P domain, as well as overall EOSS-P staging, we performed Bayesian ordered logistic regression models. Results: A total of 118 participants were included; 43.2% were female and 56.8% were male. Based on the overall EOSS-P staging, 56.8% of participants were classified as stage 3, while none were categorized as stage 0. Obesity class II-III was associated with higher odds for the mechanical (OR = 2.5), metabolic (OR = 1.9), and social (OR = 1.6) domains. Conclusions: Pediatric obesity assessment should extend beyond BMI to include the evaluation of metabolic, mechanical, and psychological domains, identifying health complications and barriers that may impact treatment effectiveness and adherence. The EOSS-P is a valuable tool for staging pediatric obesity based on these domains and can guide personalized clinical decision-making.

Comments

© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).    

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Publication Title

Children

DOI

10.3390/children12111556

Academic Level

faculty

Mentor/PI Department

Population Health and Biostatistics

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