Cited by 9Obesity, Physical Activity, DietObesity and Health PracticesBariatric Surgery and Outcomes

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

Open access
Southcombe, Faye, Vivekanandarajah, Sinthu, Krstic, Slavica, Lin, Fang, Chay, Paul, Williams, Mandy, Khan, Jahidur Rahman, Hu, Nan +4 more·2023·Obesity Science & Practice

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/osp4.648

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • BMI is relatively simple to measure in adults and functionally sums a variety of complex body indicators.

    “BMI is relatively simple to measure in adults [4,5,6,7,8,9] and functionally sums a variety of complex body indicators.”

    From Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity (2024) · cites this paper as [6]

    The Methods (BMI classification; page unavailable) describe routinely collecting BMI from measured height and weight, which supports the idea that it is relatively straightforward to obtain. The study concerns children aged 2–17, however, and does not address how simple BMI is to measure in adults. The citation is attached to that first clause, not the subsequent claim about complex body indicators. (LLM, conf=0.81)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 38

  1. [2]Abarca‐Gómez L, Abdeen ZA, Hamid ZA, et al. Worldwide trends in body‐mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population‐based measurement studies in 128·9 million children, adolescents, and adults. Lancet. 2017; 390(10113): 2627‐ 2642. 29029897 PMC5735219
  2. [4]Ells LJ, Rees K, Brown T, et al. Interventions for treating children and adolescents with overweight and obesity: an overview of Cochrane reviews. Int J Obes. 2019; 43(8): 1653. 10.1038/s41366-019-0358-4 PMC6760753 30940916 · DOI
  3. [5]Skinner AC, Ravanbakht SN, Skelton JA, Perrin EM, Armstrong SC. Prevalence of obesity and severe obesity in US children, 1999–2016. Pediatrics. 2018; 141(3): e20173459. 10.1542/peds.2017-3459 29483202 PMC6109602 · DOI · Paper page
  4. [6]Chung A, Backholer K, Wong E, Palermo C, Keating C, Peeters A. Trends in child and adolescent obesity prevalence in economically advanced countries according to socioeconomic position: a systematic review. Obes Rev. 2016; 17(3): 276‐ 295. 10.1111/obr.12360 26693831 · DOI
  5. [7]Maiano CHO, Morin AJ, Moullec G. Prevalence of overweight and obesity among children and adolescents with intellectual disabilities: a systematic review and meta‐analysis. Obes Rev. 2016; 17(7): 599‐ 611. 10.1111/obr.12408 27171466 · DOI
  6. [8]Brisbois TD, Farmer AP, McCargar LJ. Early markers of adult obesity: a review. Obes Rev. 2012; 13(4): 347‐ 367. 10.1111/j.1467-789x.2011.00965.x 22171945 PMC3531624 · DOI
  7. [9]Freedman DS, Mei Z, Srinivasan SR, Berenson GS, Dietz WH. Cardiovascular risk factors and excess adiposity among overweight children and adolescents: the Bogalusa heart study. J Pediatr. 2007; 150(1): 12‐ 17. 10.1016/j.jpeds.2006.08.042 17188605 · DOI
  8. [10]Kuczmarski RJ, Ogden CL, Guo SS, et al. 2000 CDC growth charts for the United States: methods and development. National Center for Health Statistics Vital Health Stat. 2002; 11(246): 1‐ 190. PMID:12043359. 12043359
  9. [12]Gulati AK, Kaplan DW, Daniels SR. Clinical tracking of severely obese children: a new growth chart. Pediatrics. 2012; 130(6): 1136‐ 1140. 10.1542/peds.2012-0596 23129082 PMC4528342 · DOI
  10. [14]Black WR, Borner KB, Beauchamp MT, et al. Health‐related quality of life across recent pediatric obesity classification recommendations. Children. 2021; 8(4): 303. 10.3390/children8040303 33921016 PMC8071434 · DOI
  11. [15]Wolfe I, Satherley RM, Scotney E, Newham J, Lingam R. Integrated care models and child health: a meta‐analysis. Pediatrics. 2020; 145(1). 10.1542/peds.2018-3747 31888959 · DOI
  12. [16]Hadjiyannakis S, Buchholz A, Chanoine JP, et al. The Edmonton obesity staging system for pediatrics: a proposed clinical staging system for pediatric obesity. Paediatr Child Health. 2016; 21(1): 21‐ 26. 10.1093/pch/21.1.21 26941556 PMC4758422 · DOI
  13. [17]Kuk JL, Ardern CI, Church TS, et al. Edmonton obesity staging system: association with weight history and mortality risk. Appl Physiol Nutr Metabol. 2011; 36(4): 570‐ 576. 10.1139/h11-058 21838602 · DOI
  14. [18]Padwal RS, Pajewski NM, Allison DB, Sharma AM. Using the Edmonton obesity staging system to predict mortality in a population‐representative cohort of people with overweight and obesity. CMAJ (Can Med Assoc J). 2011; 183(14): e1059‐ e1066. 10.1503/cmaj.110387 21844111 PMC3185097 · DOI · Paper page
  15. [19]Hadjiyannakis S, Ibrahim Q, Li J, et al. Obesity class versus the Edmonton obesity staging system for pediatrics to define health risk in childhood obesity: results from the CANPWR cross‐sectional study. Lancet Child Adolesc Health. 2019; 3(6): 398‐ 407. 10.1016/s2352-4642(19)30056-2 30952624 · DOI
  16. [20]Kakon GA, Hadjiyannakis S, Sigal RJ, et al. Edmonton obesity staging system for pediatrics, quality of life and fitness in adolescents with obesity. Obes Sci Pract. 2019; 5(5): 449‐ 458. 10.1002/osp4.358 31687169 PMC6819975 · DOI
  17. [21]Grammatikopoulou MG, Chourdakis M, Gkiouras K, et al. Edmonton obesity staging system among pediatric patients: a validation and obesogenic risk factor analysis. J Endocrinol Invest. 2018; 41(8): 947‐ 957. 10.1007/s40618-017-0821-9 29313283 · DOI
  18. [22]Pham TTL, Berecki‐Gisolf J, Clapperton A, O'Brien KS, Liu S, Gibson K. Definitions of culturally and linguistically diverse (CALD): a literature review of epidemiological research in Australia. Int J Environ Res Publ Health. 2021; 18(2): 737. 10.3390/ijerph18020737 PMC7830035 33467144 · DOI
  19. [23]Kelly AS, Barlow SE, Rao G, et al. Severe obesity in children and adolescents: identification, associated health risks, and treatment approaches. Circulation. 2013; 128(15): 1689‐ 1712. 10.1161/cir.0b013e3182a5cfb3 24016455 · DOI · Paper page
  20. [24]U. S. Department of Health and Human Services. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics. 2004; 114(Suppl 2): 555‐ 576. 10.1542/peds.114.2.s2.555 15286277 · DOI
  21. [27]Zullig K, Ubbes VA, Pyle J, Valois RF. Self‐reported weight perceptions, dieting behavior, and breakfast eating among high school adolescents. J Sch Health. 2006; 76(3): 87‐ 92. 10.1111/j.1746-1561.2006.00074.x 16475983 · DOI
  22. [28]McMaster CM, Calleja E, Cohen J, Alexander S, Denney‐Wilson E, Baur LA. Current status of multi‐disciplinary pediatric weight management services in Australia. J Paediatr Child Health. 2021; 57(8): 1259‐ 1266. 33724622
  23. [29]Rodríguez‐Flores M, Goicochea‐Turcott EW, Mancillas‐Adame L, et al. The utility of the Edmonton obesity staging system for the prediction of COVID‐19 outcomes: a multi‐centre study. Int J Obes. 2022; 46(3): 661‐ 668. 10.1038/s41366-021-01017-8 PMC8873002 34974543 · DOI
  24. [30]Lee A, Cardel M, Donahoo WT. Social and environmental factors influencing obesity. In: Feingold KR, Anawalt B, Boyce A, Chrousos G, de Heredr WW, et al., eds. Endotext [Internet]. MDText.com; 2000. Updated 2019. 25905211
  25. [31]Yang RZ, Blumenthal JB, Glynn NM, et al. Decrease of circulating SAA is correlated with reduction of abdominal SAA secretion during weight loss. Obesity. 2014; 22(4): 1085‐ 1090. 10.1002/oby.20657 24311467 PMC3968182 · DOI
  26. [32]Skinner AC, Perrin EM, Moss LA, Skelton JA. Cardiometabolic risks and severity of obesity in children and young adults. N Engl J Med. 2015; 373(14): 1307‐ 1317. 10.1056/nejmoa1502821 26422721 · DOI
  27. [33]Styne DM, Arslanian SA, Connor EL, et al. Pediatric obesity‐assessment, treatment, and prevention: an endocrine society clinical practice guideline. J Clin Endocrinol Metab. 2017; 102(3): 709‐ 757. 10.1210/jc.2016-2573 28359099 PMC6283429 · DOI
  28. [34]Levy SE, Pinto‐Martin JA, Bradley CB, et al. Relationship of weight outcomes, Co‐occurring conditions, and severity of autism spectrum disorder in the study to explore early development. J Pediatr. 2019; 205: 202‐ 209. 10.1016/j.jpeds.2018.09.003 30314662 PMC6348122 · DOI
  29. [35]Irby MB, Kolbash S, Garner‐Edwards D, Skelton JA. Pediatric obesity treatment in children with neurodevelopmental disabilities: a case series and review of the literature. Infant Child Adolesc Nutr. 2012; 4(4): 215‐ 221. 10.1177/1941406412448527 24723990 PMC3979556 · DOI
  30. [36]Saner CSG, Wühl E, Mullis PE, Janner M. Circadian and ultradian cardiovascular rhythmicity in obese children. Eur J Pediatr. 2016; 175(8): 1031‐ 1038. 10.1007/s00431-016-2736-4 27240757 · DOI
  31. [37]Dong B, Wang Z, Wang HJ, Ma J. The association between resting heart rate and blood pressure among children and adolescents with different waist circumferences. Eur J Pediatr. 2015; 174(2): 191‐ 197. 10.1007/s00431-014-2377-4 25023871 · DOI
  32. [38]Bennett EA, Kolko RP, Chia L, Elliott JP, Kalarchian MA. Treatment of obesity among youth with intellectual and developmental disabilities: an emerging role for telenursing. West J Nurs Res. 2017; 39(8): 1008‐ 1027. 10.1177/0193945917697664 28349744 PMC5913737 · DOI
  33. [39]Winkler MR, Moore ED, Bennett GG, Armstrong SC, Brandon DH. Parent‐adolescent influences on everyday dietary practices: perceptions of adolescent females with obesity and their mothers. Matern Child Nutr. 2017; 13(4): e12416. 10.1111/mcn.12416 28097807 PMC5632529 · DOI
  34. [40]di Palmo E, Filice E, Cavallo A, et al. Childhood obesity and respiratory diseases: which link? Children. 2021; 8(3): 177. 10.3390/children8030177 33669035 PMC7996509 · DOI
  35. [41]Dalla Valle M, Laatikainen T, Lehikoinen M, Nykänen P, Jääskeläinen J. Pediatric obesity treatment had better outcomes when children were younger, well motivated and did not have acanthosis nigricans. Acta Pediatrica. 2017; 106(11): 1842‐ 1850. 10.1111/apa.13953 28685930 · DOI
  36. [42]Wittmeier K, Brockman GH, Garcia AP, et al. Access to multi‐disciplinary care for pediatric weight management: exploring perspectives of the health care team within Canada and the United States. Child Obes. 2019; 15(6): 363‐ 370. 10.1089/chi.2019.0011 31099587 · DOI
  37. [43]Walker JL, Malley R, Littlewood R, Capra S. The need for early referral: characteristics of children and adolescents who are overweight and obese attending a multidisciplinary weight management service. Children. 2017; 4(11): 93. 10.3390/children4110093 29088100 PMC5704127 · DOI
  38. [44]Atger‐Lallier L, Guilmin‐Crepon S, Boizeau P, et al. Factors affecting loss to follow‐up in children and adolescents with chronic endocrine conditions. Horm Res Paediatr. 2019; 92(4): 254‐ 261. 10.1159/000505517 32023623 · DOI

Cited by

Sorted by citations

Authors
Southcombe, F., Vivekanandarajah, S., Krstic, S., Lin, F., Chay, P., Williams, M., Khan, J. R., Hu, N., Eapen, V., Dennis, S., Denney‐Wilson, E., & Lingam, R.
Affiliations
  • The University of Sydney (AU)
  • South Western Sydney Local Health District (AU)
  • UNSW Sydney (AU)
  • South Western Sydney Local Health District Sydney New South Wales Australia
Corresponding author
Southcombe, Faye
Venue
Obesity Science & Practice
Publisher
Wiley
Published
2022-12-23
Volume
9
Issue
3
Pages
285-295
ISSN
2055-2238 (ISSN-L)
OpenAlex
W4311440799
Cited by
9
References
2
Citations by year
2026: 2 · 2025: 4 · 2024: 2 · 2022: 1
FWCI
1.55
Type
journal article
Language
en
Open access
Locations
  • Obesity Science & Practice (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Health Professions › Pharmacy › Obesity and Health Practices
  • Health Sciences › Medicine › Surgery › Bariatric Surgery and Outcomes
Keywords
childhood obesity, obesity severity, body mass index, risk stratification, morbid obesity, mental health, multicultural children, functional disability

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review