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Ethnicity-specific cut-offs that predict co-morbidities: the way forward for optimal utility of obesity indicators

Published online by Cambridge University Press:  04 April 2019

Nitin Kapoor Open the ORCID record for Nitin Kapoor [Opens in a new window] ,
John Furler ,
Thomas V. Paul ,
Nihal Thomas  and
Brian Oldenburg
Nitin Kapoor*
Affiliation:
Department of Endocrinology, Diabetes and Metabolism, Christian Medical College & Hospital, Vellore, Tamil Nadu, India Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Science, University of Melbourne, Australia
John Furler
Affiliation:
Department of General Practice, Faculty of Medicine, Dentistry and Health Science, University of Melbourne, Australia
Thomas V. Paul
Affiliation:
Department of Endocrinology, Diabetes and Metabolism, Christian Medical College & Hospital, Vellore, Tamil Nadu, India
Nihal Thomas
Affiliation:
Department of Endocrinology, Diabetes and Metabolism, Christian Medical College & Hospital, Vellore, Tamil Nadu, India
Brian Oldenburg
Affiliation:
Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Science, University of Melbourne, Australia
*
*Corresponding author. Email: nitin.kapoor@cmcvellore.ac.in
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Abstract

Obesity indicators are useful clinical tools in the measurement of obesity, but it is important for clinicians to appropriately interpret their values in individuals with different ethnicities. Future research is needed to identify optimal cut-offs that can predict the occurrence of cardio-metabolic comorbidities in individuals of different ethnic descent. Assessment of more recently developed indicators like the Edmonton Obesity Staging System and visceral adipose tissue are able to appropriately identify metabolically at-risk individuals.

Keywords

Obesity indicatorsNormal-weight obesityEthnicity specific cut-offs
Type
Debate
Information
Journal of Biosocial Science , Volume 51 , Issue 4 , July 2019 , pp. 624 - 626
Copyright
© Cambridge University Press, 2019 

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