Literature DB >> 20054212

Waist to height ratio is a simple and effective obesity screening tool for cardiovascular risk factors: Analysis of data from the British National Diet And Nutrition Survey of adults aged 19-64 years.

Margaret Ashwell1, Sigrid Gibson.   

Abstract

OBJECTIVE AND
METHOD: To analyse data from the nationally representative National Diet and Nutrition Survey (NDNS) collected in 2000/2001 and to investigate how the BMI and two proxy indicators of central fat distribution, namely the waist circumference and the waist to height ratio (WHtR), are associated with each other and with cardiovascular disease (CVD) risk factors.
RESULTS: Screening health risk by BMI alone would 'miss' 35% of men and 14% of women who are within the normal BMI range (18.5-25 kg/m(2)) but have central fat distribution, defined by WHtR > 0.5. In the total population this equates to 17% of all men and 6% of all women who would be inadequately screened by BMI alone. Compared to BMI, WHtR was more closely associated with CVD risk factors among both men and women. Furthermore, in a combined analysis of men and women, central fat distribution with a normal BMI was associated with higher levels of CVD risk factors than being overweight without central fat distribution.
CONCLUSION: WHtR is a simple and effective, non-invasive screening tool for CVD risk factors. Our proposed boundary value of 0.5 translates into a simple public health message: 'Keep your waist circumference to less than half your height'. 2009 S. Karger AG, Basel.

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Year:  2009        PMID: 20054212      PMCID: PMC6444829          DOI: 10.1159/000203363

Source DB:  PubMed          Journal:  Obes Facts        ISSN: 1662-4025            Impact factor:   3.942


  54 in total

1.  Validity of anthropometric measurements for characterizing obesity among adult survivors of childhood cancer: A report from the St. Jude Lifetime Cohort Study.

Authors:  Robyn E Karlage; Carmen L Wilson; Nan Zhang; Sue Kaste; Daniel M Green; Gregory T Armstrong; Leslie L Robison; Wassim Chemaitilly; Deo Kumar Srivastava; Melissa M Hudson; Kirsten K Ness
Journal:  Cancer       Date:  2015-02-27       Impact factor: 6.860

Review 2.  Body composition assessment for the definition of cardiometabolic risk.

Authors:  M C Amato; V Guarnotta; C Giordano
Journal:  J Endocrinol Invest       Date:  2013-04-23       Impact factor: 4.256

3.  Impact of body composition on estimated glomerular filtration rate in relatively healthy adults in Taiwan.

Authors:  Y-W Tsai; C-I Ho; J-Y Chen; K-C Chang; Y-M Weng; S-Y Chen; W-C Li
Journal:  Eur J Clin Nutr       Date:  2014-04-30       Impact factor: 4.016

Review 4.  [Above and beyond BMI : Alternative methods of measuring body fat and muscle mass in critically ill patients and their clinical significance].

Authors:  T Weig; T Irlbeck; L Frey; P Paprottka; M Irlbeck
Journal:  Anaesthesist       Date:  2016-09       Impact factor: 1.041

5.  The impact of obesity on gait stability in older adults.

Authors:  Michael Gonzalez; Deanna H Gates; Noah J Rosenblatt
Journal:  J Biomech       Date:  2019-12-17       Impact factor: 2.712

6.  Prediction of cold and heat patterns using anthropometric measures based on machine learning.

Authors:  Bum Ju Lee; Jae Chul Lee; Jiho Nam; Jong Yeol Kim
Journal:  Chin J Integr Med       Date:  2016-12-29       Impact factor: 1.978

7.  Reduction of health risk factors through an adapted physical activity program in patients with breast cancer.

Authors:  A-M Foucaut; S E Berthouze-Aranda; M Touillaud; A-S Kempf-Lépine; C Baudinet; R Meyrand; J Carretier; P Bachmann; B Fervers
Journal:  Support Care Cancer       Date:  2013-12-03       Impact factor: 3.603

8.  Risk factors for high blood pressure in low income children aged 3-4 years.

Authors:  Márcia Regina Vitolo; Maria Laura da Costa Louzada; Fernanda Rauber; Paula Dal Bó Campagnolo
Journal:  Eur J Pediatr       Date:  2013-05-01       Impact factor: 3.183

9.  Utility of anthropometric measures in a multiethnic population: their association with prevalent diabetes, hypertension and other chronic disease comorbidities.

Authors:  Heather P Tarleton; Lisa V Smith; Zuo-Feng Zhang; Tony Kuo
Journal:  J Community Health       Date:  2014-06

10.  Evaluation of Anthropometric Indices for Screening Hypertension Among Employees of Mizan Tepi University, Southwestern Ethiopia.

Authors:  Rahel Dereje; Kalkidan Hassen; Getu Gizaw
Journal:  Integr Blood Press Control       Date:  2021-07-16
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