Literature DB >> 20819243

A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0·5 could be a suitable global boundary value.

Lucy M Browning1, Shiun Dong Hsieh, Margaret Ashwell.   

Abstract

This systematic review collated seventy-eight studies exploring waist-to-height ratio (WHtR) and waist circumference (WC) or BMI as predictors of diabetes and CVD, published in English between 1950 and 2008. Twenty-two prospective analyses showed that WHtR and WC were significant predictors of these cardiometabolic outcomes more often than BMI, with similar OR, sometimes being significant predictors after adjustment for BMI. Observations from cross-sectional analyses, forty-four in adults, thirteen in children, supported these predictions. Receiver operator characteristic (ROC) analysis revealed mean area under ROC (AUROC) values of 0·704, 0·693 and 0·671 for WHtR, WC and BMI, respectively. Mean boundary values for WHtR, covering all cardiometabolic outcomes, from studies in fourteen different countries and including Caucasian, Asian and Central American subjects, were 0·50 for men and 0·50 for women. WHtR and WC are therefore similar predictors of diabetes and CVD, both being stronger than, and independent of, BMI. To make firmer statistical comparison, a meta-analysis is required. The AUROC analyses indicate that WHtR may be a more useful global clinical screening tool than WC, with a weighted mean boundary value of 0·5, supporting the simple public health message 'keep your waist circumference to less than half your height'.

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Year:  2010        PMID: 20819243     DOI: 10.1017/S0954422410000144

Source DB:  PubMed          Journal:  Nutr Res Rev        ISSN: 0954-4224            Impact factor:   7.800


  353 in total

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4.  Distribution curve of waist-to-height ratio and its association with blood pressure among children and adolescents: study in a large population in an eastern coastal province, China.

Authors:  Ying-xiu Zhang; Zhi-chuan Zhang; Li Xie
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Review 8. 

Authors:  N John Bosomworth
Journal:  Can Fam Physician       Date:  2019-06       Impact factor: 3.275

9.  Comparison of adiposity indices in relation to prehypertension by age and gender: A community-based survey in Henan, China.

Authors:  Shuaibing Wang; Rui Peng; Shuying Liang; Kaiyan Dong; Wei Nie; Qian Yang; Nan Ma; Jianying Zhang; Kaijuan Wang; Chunhua Song
Journal:  Clin Cardiol       Date:  2018-12-05       Impact factor: 2.882

10.  Confirmatory factor analysis to assess the measure of adiposity that best fits the diagnosis of metabolic syndrome and relationship to physical activity in adults.

Authors:  Manuel A Gómez-Marcos; María C Patino-Alonso; José I Recio-Rodríguez; Juanjo Antón-Alvarez; Alfredo Cabrejas-Sánchez; Carmen Fernandez-Alonso; Javier Rubio-Galán; Verónica Arce; Luís García-Ortiz
Journal:  Eur J Nutr       Date:  2012-10-16       Impact factor: 5.614

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