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|Title:||Associations between anthropometric measurements and cardiometabolic risk factors in White European and South Asian adults in the UK|
|Authors:||Kidy, Farah F.|
Harrington, Deirdre M.
Gray, Laura J.
Bodicoat, Danielle H.
Davies, Melanie J.
|Publisher:||Elsevier for Mayo Clinic|
|Citation:||Mayo Clinic Proceedings, 2017, 92(6), pp. 925–933|
|Abstract:||Objective To investigate the association of 4 anthropometric measurements with cardiometabolic risk factors in a UK biethnic sample of South Asians (SAs) and white Europeans (WEs). Patients and Methods Baseline data were collected from adults of WE and SA origin participating in the Leicester arm of the Anglo-Danish-Dutch Study of Intensive Treatment in People with Screen Detected Diabetes in Primary Care (ADDITION-Leicester) study between August 2004 and December 2007. Overall, 6268 WE and SA adults had measures of body mass index, waist circumference, waist-to-hip ratio, and waist-to-height ratio assessed between June 18, 2004, and December 4, 2007. Hypertension, dyslipidemia, and dysglycemia were established from venous blood samples using standard definitions. Crude and adjusted (covariates used were age, sex, ethnicity, smoking, and alcohol consumption) odds ratios were calculated using multivariate logistic regression. Receiver operating characteristic curves and the area under the curve were used to calculate optimal cut points for the whole cohort and for both ethnic groups. Results Increases in all anthropometric measurements resulted in a higher odds ratio for each of the risk factors in both the crude and adjusted models (P<.001). The adjusted odds ratios for dyslipidemia, hypertension, and dysglygemia ranged from 1.30 to 1.35, from 1.36 to 1.52, and from 1.62 to 1.75 (P<.001 for all), respectively, in WEs. The adjusted odds ratio for dyslipidemia, hypertension, and dysglygemia ranged from 1.50 to 1.65 (P<.01), from 1.40 to 1.60 (P<.01), and from 1.96 to 2.11 (P<.001 for all), respectively, in SAs. The areas under the receiver operating characteristic curves for all the anthropometric measurements had low accuracy (P<.70) for the whole cohort and when stratified by ethnicity and sex. Conclusion There is insufficient evidence to recommend replacing body mass index with another anthropometric measurement for the ethnically diverse population in the United Kingdom. Trial Registration clinicaltrials.gov Identifier: NCT00318032.|
|Rights:||Copyright © Mayo Clinic, 2017. This article is distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/ ), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.|
|Description:||The file associated with this record is embargoed until 12 months after the date of publication. The final published version may be available through the links above. Following the embargo period the above license applies.|
|Appears in Collections:||Published Articles, Dept. of Health Sciences|
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