A new waist-to-height ratio predicts abdominal adiposity in adults.
Nevill, Alan M.
Stewart, Arthur D.
Duncan, Michael J.
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NEVILL, A.M., STEWART, A.D., OLDS, T. and DUNCAN, M.J. 2018. A new waist-to-height ratio predicts abdominal adiposity in adults. Research in sports medicine [online], Latest Articles. Available from: https://doi.org/10.1080/15438627.2018.1502183
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.