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More than just body mass index: Using the Edmonton obesity staging system for pediatrics to define obesity severity in a multi‐ethnic Australian pediatric clinical cohort.

Authors :
Southcombe, Faye
Vivekanandarajah, Sinthu
Krstic, Slavica
Lin, Fang
Chay, Paul
Williams, Mandy
Khan, Jahidur Rahman
Hu, Nan
Eapen, Valsa
Dennis, Sarah
Denney‐Wilson, Elizabeth
Lingam, Raghu
Source :
Obesity Science & Practice; Jun2023, Vol. 9 Issue 3, p285-295, 11p
Publication Year :
2023

Abstract

Background: Despite advancements in the use of body mass index (BMI) to categorize obesity severity in pediatrics, its utility in guiding individual clinical decision making remains limited. The Edmonton Obesity Staging System for Pediatrics (EOSS‐P) provides a way to categorize the medical and functional impacts of obesity according to the severity of impairment. The aim of this study was to describe the severity of obesity among a sample of multicultural Australian children using both BMI and EOSS‐P tools. Methods: This cross‐sectional study included children aged 2–17 years receiving obesity treatment through the Growing Health Kids (GHK) multi‐disciplinary weight management service in Australia between January to December 2021. BMI severity was determined using the 95th percentile for BMI on age and gender standardized Centre for Disease Control and Prevention (CDC) growth charts. The EOSS‐P staging system was applied across the four health domains (metabolic, mechanical, mental health and social milieu) using clinical information. Results: Complete data was obtained for 338 children (age 10.0 ± 3.66 years), of whom 69.5% were affected by severe obesity. An EOSS‐P stage 3 (most severe) was assigned to 49.7% of children, the remaining 48.5% were assigned stage 2 and 1.5% were assigned stage 1 (least severe). BMI predicted health risk as defined by EOSS‐P overall score. BMI class did not predict poor mental health. Conclusion: Used in combination, BMI and EOSS‐P provide improved risk stratification of pediatric obesity. This additional tool can help focus resources and develop comprehensive multidisciplinary treatment plans. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
11201520
Volume :
9
Issue :
3
Database :
Complementary Index
Journal :
Obesity Science & Practice
Publication Type :
Academic Journal
Accession number :
164131843
Full Text :
https://doi.org/10.1002/osp4.648