Associations Between Anthropometric Measurements and Cardiometabolic Risk Factors in White European and South Asian Adults in the United Kingdom

Mayo Clinic Proceedings

Volumn 92, Issue 6, 2017, Pages 925-933

  Kidy, Farah F ^a   Dhalwani, Nafeesa ^b   Harrington, Deirdre M ^b   Gray, Laura J ^a   Bodicoat, Danielle H ^b   Webb, David ^b   Davies, Melanie J ^b   Khunti, Kamlesh ^b  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

^b UNIVERSITY OF LEICESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ANTHROPOMETRY; ARTICLE; BODY MASS; CARDIOMETABOLIC RISK; DYSGLYCEMIA; DYSLIPIDEMIA; ETHNICITY; EUROPEAN; FEMALE; HUMAN; HYPERTENSION; MAJOR CLINICAL STUDY; MALE; RECEIVER OPERATING CHARACTERISTIC; RISK FACTOR; SEX DIFFERENCE; SOUTH ASIAN; UNITED KINGDOM; WAIST CIRCUMFERENCE; WAIST HIP RATIO; WAIST TO HEIGHT RATIO; WHITE EUROPEAN; ASIAN CONTINENTAL ANCESTRY GROUP; CARDIOVASCULAR DISEASES; CAUCASIAN; ETHNOLOGY; MIDDLE AGED; OBESITY; STATISTICS AND NUMERICAL DATA;

ASIAN CONTINENTAL ANCESTRY GROUP; BODY MASS INDEX; CARDIOVASCULAR DISEASES; DYSLIPIDEMIAS; EUROPEAN CONTINENTAL ANCESTRY GROUP; FEMALE; HUMANS; HYPERTENSION; MALE; MIDDLE AGED; OBESITY; RISK FACTORS; SEX FACTORS; UNITED KINGDOM; WAIST CIRCUMFERENCE; WAIST-HIP RATIO;

EID: 85026307091     PISSN: 00256196     EISSN: 19425546     Source Type: Journal    
DOI: 10.1016/j.mayocp.2017.02.009     Document Type: Article

References (35)

1. Hubert, H.B., Feinleib, M., McNamara, P.M., Castelli, W.P., Obesity as an independent risk factor for cardiovascular disease: a 26-year follow-up of participants in the Framingham Heart Study. Circulation 67:5 (1983), 968–977.
2. Jafar, T.H., Chaturvedi, N., Pappas, G., Prevalence of overweight and obesity and their association with hypertension and diabetes mellitus in an Indo-Asian population. CMAJ 175:9 (2006), 1071–1077.
3. Wannamethee, S.G., Papacosta, O., Whincup, P.H., et al. Assessing prediction of diabetes in older adults using different adiposity measures: a 7 year prospective study in 6,923 older men and women. Diabetologia 53:5 (2010), 890–898.
4. Arnlöv, J., Ingelsson, E., Sundström, J., Lind, L., Impact of body mass index and the metabolic syndrome on the risk of cardiovascular disease and death in middle-aged men. Circulation 121:2 (2010), 230–236.
5. Dyer, A.R., Elliott, P., INTERSALT Co-operative Research Group. The INTERSALT study: relations of body mass index to blood pressure. J Hum Hypertens 3:5 (1989), 299–308.
6. Rexrode, K.M., Hennekens, C.H., Willett, W.C., et al. A prospective study of body mass index, weight change, and risk of stroke in women. JAMA 277:19 (1997), 1539–1545.
7. Webb, D.R., Khunti, K., Srinivasan, B., et al. Rationale and design of the ADDITION-Leicester study, a systematic screening programme and randomised controlled trial of multi-factorial cardiovascular risk intervention in people with type 2 diabetes mellitus detected by screening. Trials, 11(1), 2010, 16.
8. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation 106:25 (2002), 3143–3421.
9. Alberti, K.G., Zimmet, P.Z., Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med 15:7 (1998), 539–553.
10. DeLong, E.R., DeLong, D.M., Clarke-Pearson, D.L., Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:3 (1988), 837–845.
11. Swets, J.A., Measuring the accuracy of diagnostic systems. Science 240:4857 (1988), 1285–1293.
12. Ng, M., Fleming, T., Robinson, M., et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. [published correction appears in Lancet. 2014;384(9945):746] Lancet 384:9945 (2014), 766–781.
13. MacKay, M.F., Haffner, S.M., Wagenknecht, L.E., D'Agostino, R.B. Jr., Hanley, A.J., Prediction of type 2 diabetes using alternate anthropometric measures in a multi-ethnic cohort: the Insulin Resistance Atherosclerosis Study. Diabetes Care 32:5 (2009), 956–958.
14. Bosy-Westphal, A., Geisler, C., Onur, S., et al. Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors. Int J Obes (Lond) 30:3 (2006), 475–483.
15. Ashwell, M., Gunn, P., Gibson, S., Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev 13:3 (2012), 275–286.
16. Barreira, T.V., Staiano, A.E., Harrington, D.M., et al. Anthropometric correlates of total body fat, abdominal adiposity, and cardiovascular disease risk factors in a biracial sample of men and women. Mayo Clin Proc 87:5 (2012), 452–460.
17. Bodicoat, D.H., Gray, L.J., Henson, J., et al. Body mass index and waist circumference cut-points in multi-ethnic populations from the UK and India: the ADDITION-Leicester, Jaipur Heart Watch and New Delhi cross-sectional studies. PLoS One, 9(3), 2014, e90813.
18. Shen, W., Punyanitya, M., Chen, J., et al. Waist circumference correlates with metabolic syndrome indicators better than percentage fat. Obesity (Silver Spring) 14:4 (2006), 727–736.
19. National Institute for Health and Care Excellence. Type 2 Diabetes: Prevention in People at High Risk. 2012, National Institute for Health and Care Excellence, London.
20. International Diabetes Federation. The IDF Consensus Worldwide Definition of the Metabolic Syndrome. 2006, International Diabetes Federation, Brussels.
21. Lee, C.M., Huxley, R.R., Wildman, R.P., Woodward, M., Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis. J Clin Epidemiol 61:7 (2008), 646–653.
22. Qiao, Q., Nyamdorj, R., Is the association of type II diabetes with waist circumference or waist-to-hip ratio stronger than that with body mass index?. Eur J Clin Nutr 64:1 (2010), 30–34.
23. Després, J.P., Body fat distribution and risk of cardiovascular disease: an update. Circulation 126:10 (2012), 1301–1313.
24. Vega, G.L., Adams-Huet, B., Peshock, R., Willett, D., Shah, B., Grundy, S.M., Influence of body fat content and distribution on variation in metabolic risk. J Clin Endocrinol Metab 91:11 (2006), 4459–4466.
25. Janssen, I., Katzmarzyk, P.T., Ross, R., Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr 79:3 (2004), 379–384.
26. Camhi, S.M., Bray, G.A., Bouchard, C., et al. The relationship of waist circumference and BMI to visceral, subcutaneous, and total body fat: sex and race differences. Obesity (Silver Spring) 19:2 (2011), 402–408.
27. Gómez-Ambrosi, J., Silva, C., Galofré, J.C., et al. Body adiposity and type 2 diabetes: Increased risk with a high body fat percentage even having a normal BMI. Obesity (Silver Spring) 19:7 (2011), 1439–1444.
28. Gómez-Ambrosi, J., Silva, C., Galofré, J.C., et al. Body mass index classification misses subjects with increased cardiometabolic risk factors related to elevated adiposity. Int J Obes (Lond) 36:2 (2012), 286–294.
29. National Heart, Lung, and Blood Institute. Clinical Guidelines on the Identification, Evalaution, and Treatment of Overweight and Obesity in Adults. 1998, National Heart, Lung, and Blood Institute, Bethesda, MD.
30. World Health Organization. Waist Circumference and Waist-Hip Ratio: Report of a WHO Expert Consultation, Geneva, 8-11 December 2008. 2011, World Health Organization, Geneva.
31. Cornier, M.A., Després, J.P., Davis, N., et al., American Heart Association Obesity Committee of the Council on Nutrition; Physical Activity and Metabolism; Council on Arteriosclerosis; Thrombosis and Vascular Biology; Council on Cardiovascular Disease in the Young; Council on Cardiovascular Radiology and Intervention; Council on Cardiovascular Nursing, Council on Epidemiology and Prevention; Council on the Kidney in Cardiovascular Disease, and Stroke Council. Assessing adiposity a scientific statement from the American Heart Association. Circulation 124:18 (2011), 1996–2019.
32. Marques-Vidal, P., Bochud, M., Mooser, V., Paccaud, F., Waeber, G., Vollenweider, P., Obesity markers and estimated 10-year fatal cardiovascular risk in Switzerland. Nutr Metab Cardiovasc Dis 19:7 (2009), 462–468.
33. Staiano, A., Reeder, B., Elliott, S., et al. Body mass index versus waist circumference as predictors of mortality in Canadian adults. Int J Obes (Lond) 36:11 (2012), 1450–1454.
34. Tulloch-Reid, M.K., Williams, D.E., Looker, H.C., Hanson, R.L., Knowler, W.C., Do measures of body fat distribution provide information on the risk of type 2 diabetes in addition to measures of general obesity? Comparison of anthropometric predictors of type 2 diabetes in Pima Indians. Diabetes Care 26:9 (2003), 2556–2561.
35. Mason, C., Katzmarzyk, P.T., Effect of the site of measurement of waist circumference on the prevalence of the metabolic syndrome. Am J Cardiol 103:12 (2009), 1716–1720.