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Obesity indicators that best predict type 2 diabetes in an Indian population: insights from the Kerala Diabetes Prevention Program.
Kapoor, Nitin; Lotfaliany, Mojtaba; Sathish, Thirunavukkarasu; Thankappan, K R; Thomas, Nihal; Furler, John; Oldenburg, Brian; Tapp, Robyn J.
Afiliação
  • Kapoor N; Department of Endocrinology, Diabetes and Metabolism, Christian Medical College & Hospital, Vellore, Tamil Nadu, India.
  • Lotfaliany M; Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Melbourne, VIC, Australia.
  • Sathish T; Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Melbourne, VIC, Australia.
  • Thankappan KR; Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Melbourne, VIC, Australia.
  • Thomas N; Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada.
  • Furler J; Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
  • Oldenburg B; Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India.
  • Tapp RJ; Department of Public Health and Community Medicine, Central University, Kasaragod, Kerala, India.
J Nutr Sci ; 9: e15, 2020.
Article em En | MEDLINE | ID: mdl-32328239
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Obesidade Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Obesidade Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article