Literature DB >> 27061665

Performance of the waist-to-height ratio in identifying obesity and predicting non-communicable diseases in the elderly population: A systematic literature review.

Márcia Mara Corrêa1, Elaine Thumé2, Elizabete Regina Araújo De Oliveira3, Elaine Tomasi4.   

Abstract

A systematic review was carried out aiming to collect evidence on the use of the waist-to-height ratio (WHtR) on the elderly population, focusing on validity measures to identify the best anthropometric indicator in assessing obesity associated with non-communicable diseases. The review consisted in a search of papers published on the databases Pubmed, Web of Science, and Lilacs, with no restriction regarding period of publication, using the following combinations: abdominal fat or overweight or obesity and waist-to-height ratio or waist height or waist ht or WHtR or waist to stature ratio or wst stature or WSR or stature and girth. Sixteen papers were selected, most of which with high methodological quality. The receiver-operating characteristic (ROC) curves was the validity measure explored in 13 papers, followed by sensitivity and specificity measures. In all studies, the body mass index (BMI) and waist circumference (WC) received special attention for analysis along with WHtR. Five manuscripts showed evidence of WHtR being the best anthropometric index when used alone, four showed that both WHtR and WC had the best discriminatory power in predicting cardiovascular risk factors compared to the other indices, and two ranked WHtR at the same performance level as waist-to-hip ratio (WHR) and BMI. An association was shown of the obesity assessed by WHtR in predicting risk factors for cardiovascular diseases, metabolic syndrome, and diabetes compared to other anthropometric parameters.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Anthropometric indices; Cardiovascular risk factors; Obesity; ROC curve; Waist-to-Height ratio (WHtR)

Mesh:

Year:  2016        PMID: 27061665     DOI: 10.1016/j.archger.2016.03.021

Source DB:  PubMed          Journal:  Arch Gerontol Geriatr        ISSN: 0167-4943            Impact factor:   3.250


  25 in total

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6.  Estimate of prevalent diabetes from cardiometabolic index in general Chinese population: a community-based study.

Authors:  Wen-Rui Shi; Hao-Yu Wang; Shuang Chen; Xiao-Fan Guo; Zhao Li; Ying-Xian Sun
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7.  Body fat anthropometric indexes: Which of those identify better high cardiovascular risk subjects? A comparative study in Spanish population.

Authors:  Arturo Corbatón Anchuelo; María Teresa Martínez-Larrad; Irene Serrano-García; Cristina Fernández Pérez; Manuel Serrano-Ríos
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8.  Personalised measures of obesity using waist to height ratios from an Australian health screening program.

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Journal:  Digit Health       Date:  2019-04-12

9.  Direct and Indirect Effects of Serum Uric Acid on Blood Sugar Levels in Patients with Prediabetes: A Mediation Analysis.

Authors:  Thunyarat Anothaisintawee; Dumrongrat Lertrattananon; Sangsulee Thamakaison; Sirimon Reutrakul; Boonsong Ongphiphadhanakul; Ammarin Thakkinstian
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10.  The performance of anthropometric measures to predict diabetes mellitus and hypertension among adults in Jordan.

Authors:  Yousef Khader; Anwar Batieha; Hashem Jaddou; Mohammed El-Khateeb; Kamel Ajlouni
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