Literature DB >> 23067297

One reason why waist-to-height ratio is usually better related to chronic disease risk and outcome than body mass index.

Stanley J Ulijaszek1, Maciej Henneberg, C J K Henry.   

Abstract

The waist-to-height ratio (wtHR) has been proposed as an alternative to body mass index (BMI) as a simple anthropometric measure of body fatness. Both measures retain residual correlations with height, which causes them to over- or under-adjust for height (and thus misestimate nutritional state) when relating these measures to chronic disease risk, morbidity or mortality. The possibility that BMI has greater misadjustment than wtHR relative to waist/height (p) and weight/height (p) (where p is the optimal exponent for each population and sex group) is examined here. Analysis of anthropometric data for groups in Thailand, Papua New Guinea and Australia shows that this is the case, especially over-adjustment. This may contribute to the weaker relationships of chronic disease markers and outcomes with BMI than with wtHR.

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Year:  2012        PMID: 23067297     DOI: 10.3109/09637486.2012.734291

Source DB:  PubMed          Journal:  Int J Food Sci Nutr        ISSN: 0963-7486            Impact factor:   3.833


  3 in total

1.  Associations between anthropometric indices, blood pressure and physical fitness performance in young Swiss men: a cross-sectional study.

Authors:  Kaspar Staub; Joël Floris; Nikola Koepke; Adrian Trapp; Andreas Nacht; Susanna Schärli Maurer; Frank J Rühli; Nicole Bender
Journal:  BMJ Open       Date:  2018-06-09       Impact factor: 2.692

2.  Body mass index and measures of body fat for defining obesity and underweight: a cross-sectional, population-based study.

Authors:  Julie A Pasco; Kara L Holloway; Amelia G Dobbins; Mark A Kotowicz; Lana J Williams; Sharon L Brennan
Journal:  BMC Obes       Date:  2014-06-23

3.  From Undernutrition to Overnutrition: The Evolution of Overweight and Obesity among Young Men in Switzerland since the 19th Century.

Authors:  Kaspar Staub; Nicole Bender; Joël Floris; Christian Pfister; Frank J Rühli
Journal:  Obes Facts       Date:  2016-08-20       Impact factor: 3.942

  3 in total

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