A new waist-to-height ratio predicts abdominal adiposity in adults

Alan M. Nevill, Arthur Stewart, Tim Olds, Michael Duncan

    Research output: Contribution to journalArticlepeer-review

    9 Citations (Scopus)
    44 Downloads (Pure)

    Abstract

    Our aim was to identify the best anthropometric index associated with waist adiposity. The six weight-status indices included body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHTR), and a new waist-by-height0.5 ratio (WHT.5R). The association between three waist skinfolds and the six anthropometric indices was conducted using ANCOVA, MANCOVA, allometric modelling and non-linear regression. The strongest predictors of waist adiposity were (1st) WHT.5R, (2nd) WHTR, (3rd) waist circumference (WC), (4th) BMI, (5th) WHR, and lastly (6th) a body shape index ABSI = WC/(BMI2/3 * height1/2). The allometric and non-linear regression analyses identified the optimal waist-to-height ratio associated with waist adiposity to be (waist * height -0.6). The 95% confidence intervals of the height exponents encompassed -0.5 but excluded -1.0 assumed by WHTR. Assuming that excess waist adiposity is an important cardiovascular risk factor, we recommend that the new WHT.5R be used to advise people how to maintain a “healthy” weight.
    Original languageEnglish
    Pages (from-to)15-26
    Number of pages12
    JournalResearch in Sports Medicine: An International Journal
    Volume28
    Issue number1
    Early online date25 Jul 2018
    DOIs
    Publication statusPublished - 2 Jan 2020

    Keywords

    • Allometric models
    • abdominal skinfolds
    • healthy weight
    • waist-to-height ratios

    ASJC Scopus subject areas

    • Orthopedics and Sports Medicine
    • Physical Therapy, Sports Therapy and Rehabilitation

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