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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.
Atlantis, Evan; Fahey, Paul; Williams, Kathryn; Edwards, Suzanne; Samaras, Katherine; Dugdale, Paul; Shi, Zumin; Sharma, Arya M.
Afiliação
  • Atlantis E; School of Nursing and Midwifery, Western Sydney University, Sydney, New South Wales, Australia.
  • Fahey P; School of Medicine, The University of Adelaide, Adelaide, South Australia, Australia.
  • Williams K; School of Health Sciences, Western Sydney University, Sydney, New South Wales, Australia.
  • Edwards S; Charles Perkins Centre - Nepean, The University of Sydney, Sydney, New South Wales, Australia.
  • Samaras K; Department of Endocrinology (Obesity), Nepean Hospital, Nepean Blue Mountains Local Health District, Sydney, New South Wales, Australia.
  • Dugdale P; School of Public Health, The University of Adelaide, Adelaide, South Australia, Australia.
  • Shi Z; Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
  • Sharma AM; Department of Endocrinology, St Vincent's Hospital, Sydney, New South Wales, Australia.
Clin Obes ; 10(4): e12368, 2020 Aug.
Article em En | MEDLINE | ID: mdl-32419298
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aceitação pelo Paciente de Cuidados de Saúde / Índice de Massa Corporal / Polimedicação / Obesidade Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aceitação pelo Paciente de Cuidados de Saúde / Índice de Massa Corporal / Polimedicação / Obesidade Idioma: En Ano de publicação: 2020 Tipo de documento: Article