Literature DB >> 19492953

Waist-to-height ratio is a highly sensitive index for the metabolic syndrome in a Mediterranean population.

Giuliana Mombelli1, Anna M Zanaboni, Sabrina Gaito, Cesare R Sirtori.   

Abstract

BACKGROUND: The waist-to-height ratio (WHtR) is a potentially more reliable anthropometric index, particularly for populations of lower height. Performance of the WHtR versus body mass index (BMI) and enlarged waist circumference (WC) in the assessment of the metabolic syndrome was tested in nonobese males and females in a high-risk Italian population.
METHODS: WHtR, BMI, and WC were determined in 552 males and 552 females, together with the evaluation of associated metabolic syndrome variables (hypertension, hyperglycemia, hypertriglyceridemia, and low high-density lipoprotein cholesterol [HDL-C]).
RESULTS: WHtR > or = 0.5, the most frequently suggested threshold value, when added to any two nonanthropometric variables, gave a sensitivity for the identification of a metabolic syndrome of, respectively, 92.0% for males and 87.4% for females. Sensitivities for elevated WC (American Heart Association [AHA] criteria) and BMI > or = 25 proved lower. Areas under the receiver operating characteristic (ROC) curves for the different anthropometric indices confirmed that a WHtR > or = 0.5 provides a satisfactory balance between sensitivity and specificity.
CONCLUSIONS: WHtR > or = 0.5 may be the most effective anthropometric index for screening high-risk patients in the diagnosis of metabolic syndrome, with the advantage of the opportunity of direct comparisons with other populations.

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Year:  2009        PMID: 19492953     DOI: 10.1089/met.2008.0101

Source DB:  PubMed          Journal:  Metab Syndr Relat Disord        ISSN: 1540-4196            Impact factor:   1.894


  11 in total

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3.  Sex-specific association of anthropometric measures of body composition with arterial stiffness in a healthy population.

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4.  Relation of anthropometric variables to coronary artery disease risk factors.

Authors:  Virendra C Patil; G P Parale; P M Kulkarni; Harsha V Patil
Journal:  Indian J Endocrinol Metab       Date:  2011-01

5.  Need for better anthropometric markers for prediction of cardiovascular risk in nutritionally stunted populations.

Authors:  S Sivasankaran; M K C Nair; George Babu; A M Zufikar
Journal:  Indian J Med Res       Date:  2011-05       Impact factor: 2.375

6.  Influence of body variables in the development of metabolic syndrome-A long term follow-up study.

Authors:  Chiara Pavanello; Anna Maria Zanaboni; Sabrina Gaito; Margherita Botta; Giuliana Mombelli; Cesare R Sirtori; Massimiliano Ruscica
Journal:  PLoS One       Date:  2018-02-12       Impact factor: 3.240

7.  Waist-to-height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk.

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Journal:  PLoS One       Date:  2012-08-14       Impact factor: 3.240

8.  A 14-item Mediterranean diet assessment tool and obesity indexes among high-risk subjects: the PREDIMED trial.

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Journal:  PLoS One       Date:  2012-08-14       Impact factor: 3.240

9.  Body composition and physical activity in Italian university students.

Authors:  Luciana Zaccagni; Davide Barbieri; Emanuela Gualdi-Russo
Journal:  J Transl Med       Date:  2014-05-09       Impact factor: 5.531

10.  Obesity indexes and total mortality among elderly subjects at high cardiovascular risk: the PREDIMED study.

Authors:  Miguel A Martínez-González; Ana García-Arellano; Estefanía Toledo; Maira Bes-Rastrollo; Mónica Bulló; Dolores Corella; Montserrat Fito; Emilio Ros; Rosa Maria Lamuela-Raventós; Javier Rekondo; Enrique Gómez-Gracia; Miquel Fiol; Jose Manuel Santos-Lozano; Lluis Serra-Majem; J Alfredo Martínez; Sonia Eguaras; Guillermo Sáez-Tormo; Xavier Pintó; Ramon Estruch
Journal:  PLoS One       Date:  2014-07-29       Impact factor: 3.240

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