Literature DB >> 35525679

BMI is dead; long live waist-circumference indices: But which index should we choose to predict cardio-metabolic risk?

A M Nevill1, M J Duncan2, T Myers3.   

Abstract

BACKGROUND AND AIMS: There is growing evidence that Body Mass Index (BMI) is unfit for purpose. Waist circumference (WC) indices appear to be the preferred alternative, although it is not clear which WC index is optimal at predicting cardio-metabolic risk (CMR) and associated health outcomes. METHODS AND
RESULTS: We obtained a stratified random probability sample of 53,390 participants from the Health Survey for England (HSE), 2008-2018. The four available CMR factors were; high-density lipoproteins (HDL) cholesterol, glycated haemoglobin (HbA1c), systolic (SBP) and diastolic blood pressure (DBP). Strength of association between the four cardio-metabolic risk factors and competing anthropometric indicators of weight status [BMI, Waist-to-height ratio (WHTR), unadjusted WC, and a new WC index independent of height, WHT·5R = WC/height0.5] was assessed separately, using simple correlations and ANCOVAs, and together (combined) using MANCOVA, controlling for age, sex and ethnicity. Centile curves for the new index WHT·5R = WC/height0.5were also provided.
CONCLUSIONS: Waist-circumference indices were superior to BMI when explaining/predicting our CMR factors, before and after controlling for age, sex and ethnicity. No single WC index was consistently superior. Results suggest that WHTR is the strongest predictor of HbA1c, confirming that shorter individuals are at great risk of diabetes. The most appropriate WC index associated with blood pressure was WHT·5R for DBP, or unadjusted WC for SBP. Given HDL cholesterol is independent of height, the best predictor of HDL was WHT.5R. Clearly, "no one size fits all!". MANCOVA identified WHT·5R to be the best single WC index associated with a composite of all four CMR factors.
Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Anthropometry; Diabetes; Disease risk; Metabolic health; Obesity

Mesh:

Substances:

Year:  2022        PMID: 35525679     DOI: 10.1016/j.numecd.2022.04.003

Source DB:  PubMed          Journal:  Nutr Metab Cardiovasc Dis        ISSN: 0939-4753            Impact factor:   4.222


  3 in total

1.  Waist circumference and dysglycaemia: new insights and additional questions, but do not miss the opportunity to measure it!

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Journal:  Intern Emerg Med       Date:  2022-08-30       Impact factor: 5.472

Review 2.  The Pathological Links between Adiposity and the Carpal Tunnel Syndrome.

Authors:  Marina Ruxandra Otelea; Roxana Nartea; Florina Georgeta Popescu; Anatoli Covaleov; Brindusa Ilinca Mitoiu; Adriana Sarah Nica
Journal:  Curr Issues Mol Biol       Date:  2022-06-08       Impact factor: 2.976

3.  Serum Folate Related to Five Measurements of Obesity and High-Sensitivity C-Reactive Protein in Korean Adults.

Authors:  Mee-Ri Lee; Sung Min Jung
Journal:  Nutrients       Date:  2022-08-24       Impact factor: 6.706

  3 in total

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