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

被引:44
作者
Nevill, Alan M. [1 ]
Stewart, Arthur D. [2 ]
Olds, Tim [3 ]
Duncan, Michael J. [4 ]
机构
[1] Univ Wolverhampton, Fac Educ Hlth & Wellbeing, Campus Gorway Rd Walsall, Walsall WS1 3BD, W Midlands, England
[2] Robert Gordon Univ, Sch Hlth Sci, Aberdeen, Scotland
[3] Univ South Australia, Sch Hlth Sci, Adelaide, SA, Australia
[4] Coventry Univ, Fac Hlth & Life Sci, Aberdeen, Scotland
关键词
Allometric models; waist-to-height ratios; abdominal skinfolds; healthy weight; BODY-MASS INDEX; SIMPLE ANTHROPOMETRIC INDEXES; CARDIOVASCULAR RISK; CIRCUMFERENCE; OBESITY; MEN; BMI;
D O I
10.1080/15438627.2018.1502183
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
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-height(0.5) 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 (1(st)) WHT.5R, (2(nd)) WHTR, (3(rd)) waist circumference (WC), (4(th)) BMI, (5(th)) WHR, and lastly (6(th)) a body shape index ABSI = WC/(BMI2/3 * height(1/2)). 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.
引用
收藏
页码:15 / 26
页数:12
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