Evidence map›Paper›PMID 37287524›Full record

ArticleObesity science & practice2023

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.

Faye Southcombe, Sinthu Vivekanandarajah, Slavica Krstic, Fang Lin, Paul Chay, Mandy Williams, Jahidur Rahman Khan, Nan Hu, Valsa Eapen, Sarah Dennis and 2 more

Open access · goldAbstract read
In one paragraph

Article in Obesity science & practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Validity of non-traditional measures of obesity compared to total body fat across the life course: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity.International journal of environmental research and public health · 2024
    Review
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Faye SouthcombeSouth Western Sydney Local Health District Sydney New South Wales Australia.ORCID https://orcid.org/0000-0002-4061-9014
Sinthu VivekanandarajahSouth Western Sydney Local Health District Sydney New South Wales Australia.
Slavica KrsticSouth Western Sydney Local Health District Sydney New South Wales Australia.
Fang LinSouth Western Sydney Local Health District Sydney New South Wales Australia.
Paul ChaySouth Western Sydney Local Health District Sydney New South Wales Australia.
Mandy WilliamsSouth Western Sydney Local Health District Sydney New South Wales Australia.
Jahidur Rahman KhanSchool of Clinical Medicine University of NSW Sydney New South Wales Australia.
Nan HuSchool of Clinical Medicine University of NSW Sydney New South Wales Australia.
Valsa EapenSouth Western Sydney Local Health District Sydney New South Wales Australia.
Sarah DennisSouth Western Sydney Local Health District Sydney New South Wales Australia.
Elizabeth Denney-WilsonFaculty of Medicine and Health The University of Sydney Sydney New South Wales Australia.
Raghu LingamSchool of Clinical Medicine University of NSW Sydney New South Wales Australia.
The University of Sydney · AUUNSW Sydney · AUSouth Western Sydney Local Health District · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

childhealth riskobesitypediatrictreatment

Identifiers

PMID37287524
PMCPMC10242255
OpenAlexW4311440799

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.