The prevalence of metabolic syndrome and determination of the optimal waist circumference cutoff points in a rural South African community

Diabetes Care

Volumn 34, Issue 4, 2011, Pages 1032-1037

  Motala, Ayesha A ^a   Esterhuizen, Tonya ^a   Pirie, Fraser J ^a   Omar, Mahomed A K ^a  

^a UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGE; AGED; ARTICLE; CONTROLLED STUDY; ETHNICITY; FEMALE; HUMAN; MALE; METABOLIC SYNDROME X; ORAL GLUCOSE TOLERANCE TEST; PREVALENCE; REFERENCE VALUE; RURAL AREA; SEX DIFFERENCE; SOUTH AFRICA; WAIST CIRCUMFERENCE;

ADULT; AFRICA; AFRICAN CONTINENTAL ANCESTRY GROUP; AGED; CROSS-SECTIONAL STUDIES; FEMALE; HUMANS; MALE; METABOLIC SYNDROME X; MIDDLE AGED; SEX FACTORS; WAIST CIRCUMFERENCE;

EID: 79956196555     PISSN: 01495992     EISSN: 19355548     Source Type: Journal    
DOI: 10.2337/dc10-1921     Document Type: Article

References (25)

1. Alberti KG, Zimmet P, Shaw J. Metabolic syndrome: a new world-wide definition. A Consensus Statement from the International Diabetes Federation. Diabet Med 2006;23:469-480
2. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive Summary of the 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). JAMA 2001;285:2486-2497
3. Grundy SM, Hansen B, Smith SC Jr, Cleeman JI, Kahn RA; American Heart Association; National Heart, Lung, and Blood Institute; American Diabetes Association. Clinical management of metabolic syndrome: report of the American Heart Association/National Heart, Lung, and Blood Institute/American Diabetes Association conference on scientific issues related to management. Circulation 2004;109:551-556
4. Grundy SM, Cleeman JI, Daniels SR, et al.; American Heart Association; National Heart, Lung, and Blood Institute. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 2005;112:2735-2752 (Pubitemid 41532612)
5. Alberti KG, Eckel RH, Grundy SM, et al.; International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; International Association for the Study of Obesity. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009;120:1640-1645
6. Alberti KGMM, Zimmet PZ. 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 1998;15:539-553
7. Balkau B, Charles MA; European Group for the Study of Insulin Resistance (EGIR). Comment on the provisional report from the WHO consultation. Diabet Med 1999;16:442-443
8. Einhorn D, Reaven GM, Cobin RH, et al. American College of Endocrinology position statement on the insulin resistance syndrome. Endocr Pract 2003;9:237-252
9. Grundy SM. Metabolic syndrome pandemic. Arterioscler Thromb Vasc Biol 2008;28:629-636 (Pubitemid 351651324)
10. Mbanya JC, Motala AA, Sobngwi E, Assah FK, Enoru ST. Diabetes in sub-Saharan Africa. Lancet 2010;375:2254-2266
11. International Diabetes Federation. Diabetes Atlas. 4th ed. Brussels, International Diabetes Federation, 2009
12. Mayosi BM, Flisher AJ, Lalloo UG, Sitas F, Tollman SM, Bradshaw D. The burden of non-communicable diseases in South Africa. Lancet 2009;374:934-947
13. Unwin N, McLarty D, Machibya H, et al. Changes in blood pressure and lipids associated with rural to urban migration in Tanzania. J Hum Hypertens 2006;20:704-706 (Pubitemid 44269862)
14. Fezeu L, Balkau B, Kengne AP, Sobngwi E, Mbanya JC. Metabolic syndrome in a sub-Saharan African setting: central obesity may be the key determinant. Atherosclerosis 2007;193:70-76 (Pubitemid 46776712)
15. Ntandou G, Delisle H, Agueh V, Fayomi B. Abdominal obesity explains the positive rural-urban gradient in the prevalence of the metabolic syndrome in Benin, West Africa. Nutr Res 2009;29:180-189
16. Oladapo OO, Salako L, Sodiq O, Shoyinka K, Adedapo K, Falase AO. A prevalence of cardiometabolic risk factors among a rural Yoruba south-western Nigerian population: a population-based survey. Cardiovasc J Afr 2010;21:26-31
17. Motala AA, Esterhuizen T, Gouws E, Pirie FJ, Omar MA. Diabetes and other disorders of glycemia in a rural South African community: prevalence and associated risk factors. Diabetes Care 2008;31:1783-1788
18. World Health Organization. Diabetes and Non-Communicable Disease Risk Factor Surveys: A Field Guide. Geneva, World Health Org., 1999 (WHO/NCD/NCS/99-1)
19. World Health Organization. Obesity: Preventing and Managing the Global Epidemic: Report of a WHO Consultation. Geneva, World Health Org., 2000 (Tech. rep. ser. no. 894)
20. Waterhouse J, Correa P, Muir C, Powell J. (Eds). Cancer Incidence in Five Continents. Vol. III. Lyon, France, IARC, 1976, p. 456
21. Graphpad Software. QuickCalcs online calculators for scientists: quantify agreement with kappa [Internet]. Available from http://www.graphpad.com/ quickcalcs/Kappa2.cfm./. Accessed 19 May 2010
22. Puoane T, Steyn K, Bradshaw D, et al. Obesity in South Africa: the South African demographic and health survey. Obes Res 2002;10:1038-1048 (Pubitemid 135688921)
23. Jackson M, Walker S, Cruickshank JK, et al. Diet and overweight and obesity in populations of African origin: Cameroon, Jamaica and the UK. Public Health Nutr 2007;10:122-130 (Pubitemid 46682339)
24. Delavari A, Forouzanfar MH, Alikhani S, Sharifian A, Kelishadi R. First nationwide study of the prevalence of the metabolic syndrome and optimal cutoff points of waist circumference in the Middle East: the national survey of risk factors for noncommunicable diseases of Iran. Diabetes Care 2009;32:1092-1097
25. Hara K, Matsushita Y, Horikoshi M, et al. A proposal for the cutoff point of waist circumference for the diagnosis of metabolic syndrome in the Japanese population. Diabetes Care 2006;29:1123-1124 (Pubitemid 44115258)