Literature DB >> 32419298

Comparing the predictive ability of the Edmonton Obesity Staging System with the body mass index for use of health services and pharmacotherapies in Australian adults: A nationally representative cross-sectional study.

Evan Atlantis1,2, Paul Fahey3, Kathryn Williams4,5, Suzanne Edwards6, Katherine Samaras7,8,9, Paul Dugdale10, Zumin Shi11, Arya M Sharma12.   

Abstract

We assessed the value of the Edmonton Obesity Staging System (EOSS) compared with the body mass index (BMI) for determining associations with use of health services and pharmacotherapies in a nationally representative sample of participants in the 2011-2013 Australian Health Survey. A subsample of participants aged 18 years or over, with at least overweight (BMI ≥ 25 kg/m2 ) or central obesity (waist measurement of ≥102 cm for men; ≥88 cm for women), and who had provided physical measurements (n = 9730) were selected for analysis. For statistical significance of each predictor, we used logistic regression for model comparisons with the BMI and EOSS separately, and adjusted for covariates. For relative explanatory ability, we used the Nagelkerke pseudo R2 , receiver operating characteristic curve, and area under curve statistic. The EOSS was significantly better than the BMI for predicting polypharmacy and most of the health service use variables. Conversely, the BMI was significantly better than the EOSS for predicting having discussed lifestyle changes relevant to weight loss with the primary care physician. Clinicians, health care professionals, consumers, and policy makers should consider the EOSS a more accurate predictor of polypharmacy and health service use than the BMI in adults with overweight or obesity.
© 2020 World Obesity Federation.

Entities:  

Keywords:  BMI; EOSS; health service use; polypharmacy

Mesh:

Year:  2020        PMID: 32419298     DOI: 10.1111/cob.12368

Source DB:  PubMed          Journal:  Clin Obes        ISSN: 1758-8103


  6 in total

1.  Development and internal validation of the Edmonton Obesity Staging System-2 Risk screening Tool (EOSS-2 Risk Tool) for weight-related health complications: a case-control study in a representative sample of Australian adults with overweight and obesity.

Authors:  Evan Atlantis; James Rufus John; S L Hocking; Kath Peters; Kathryn Williams; Paul Dugdale; P Fahey
Journal:  BMJ Open       Date:  2022-06-22       Impact factor: 3.006

2.  Clinical usefulness of brief screening tool for activating weight management discussions in primary cARE (AWARE): A nationwide mixed methods pilot study.

Authors:  Evan Atlantis; James Rufus John; Paul Patrick Fahey; Samantha Hocking; Kath Peters
Journal:  PLoS One       Date:  2021-10-28       Impact factor: 3.240

3.  Is the Mediterranean Diet Pattern Associated with Weight Related Health Complications in Adults? A Cross-Sectional Study of Australian Health Survey.

Authors:  Canaan Negash Seifu; Paul Patrick Fahey; Kedir Yimam Ahmed; Evan Atlantis
Journal:  Nutrients       Date:  2021-10-30       Impact factor: 5.717

4.  Clinical Use of the Edmonton Obesity Staging System for the Assessment of Weight Management Outcomes in People with Class 3 Obesity.

Authors:  Raymond Kodsi; Ritesh Chimoriya; David Medveczky; Kathy Grudzinskas; Evan Atlantis; Abd A Tahrani; Nic Kormas; Milan K Piya
Journal:  Nutrients       Date:  2022-02-24       Impact factor: 5.717

5.  Comparing body mass index and obesity-related comorbidities as predictors in hospitalized COVID-19 patients.

Authors:  Michael W Tsoulis; Victor L Garcia; Wei Hou; Chrisa Arcan; Joshua D Miller
Journal:  Clin Obes       Date:  2022-02-22

6.  Obesity and Bariatric Surgery in Australia: Future Projection of Supply and Demand, and Costs.

Authors:  Sithara Wanni Arachchige Dona; Mary Rose Angeles; Dieu Nguyen; Lan Gao; Martin Hensher
Journal:  Obes Surg       Date:  2022-07-08       Impact factor: 3.479

  6 in total

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