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Anand SS, Yusuf S, Vuksan V, Devanesen S, Teo KK, Montague PA, et al. Differences in risk factors, atherosclerosis, and cardiovascular disease between ethnic groups in Canada: the Study of Health Assessment and Risk in Ethnic groups (SHARE). Lancet. 2000;356:279â84. https://doi.org/10.1016/s0140-6736(00)02502-2
Google ScholarÂ
Karter AJ, Schillinger D, Adams AS, Moffet HH, Liu J, Adler NE, et al. Elevated rates of diabetes in Pacific Islanders and Asian subgroups: the Diabetes Study of Northern California (DISTANCE). Diabetes Care. 2013;36:574â9. https://doi.org/10.2337/dc12-0722
Google ScholarÂ
Volgman AS, Palaniappan LS, Aggarwal NT, Gupta M, Khandelwal A, Krishnan AV, et al. Atherosclerotic cardiovascular disease in South Asians in the United States: epidemiology, risk factors, and treatments: a scientific statement from the American Heart Association. Circulation. 2018;138:e1âe34. https://doi.org/10.1161/CIR.0000000000000580
Google ScholarÂ
Brown AF, Liang LJ, Vassar SD, Escarce JJ, Merkin SS, Cheng E, et al. Trends in racial/ethnic and nativity disparities in cardiovascular health among adults without prevalent cardiovascular disease in the United States, 1988 to 2014. Ann Intern Med. 2018;168:541â9. https://doi.org/10.7326/M17-0996
Google ScholarÂ
Tillin T, Hughes AD, Mayet J, Whincup P, Sattar N, Forouhi NG, et al. The relationship between metabolic risk factors and incident cardiovascular disease in Europeans, South Asians, and African Caribbeans: SABRE (Southall and Brent Revisited) – a prospective population-based study. J Am Coll Cardiol. 2013;61:1777â86. https://doi.org/10.1016/j.jacc.2012.12.046
Google ScholarÂ
Farmaki AE, Garfield V, Eastwood SV, Farmer RE, Mathur R, Giannakopoulou O, et al. Type 2 diabetes risks and determinants in second-generation migrants and mixed ethnicity people of South Asian and African Caribbean descent in the UK. Diabetologia. 2022;65:113â27. https://doi.org/10.1007/s00125-021-05580-7
Google ScholarÂ
Brancati FL, Kao WH, Folsom AR, Watson RL, Szklo M. Incident type 2 diabetes mellitus in African American and white adults: the Atherosclerosis Risk in Communities Study. JAMA. 2000;283:2253â9. https://doi.org/10.1001/jama.283.17.2253
Google ScholarÂ
Wild SH, Fischbacher C, Brock A, Griffiths C, Bhopal R. Mortality from all causes and circulatory disease by country of birth in England and Wales 2001-2003. J Public Health. 2007;29:191â8. https://doi.org/10.1093/pubmed/fdm010
Google ScholarÂ
Dowse GK, Gareeboo H, Zimmet PZ, Alberti KG, Tuomilehto J, Fareed D, et al. High prevalence of NIDDM and impaired glucose tolerance in Indian, Creole, and Chinese Mauritians. Diabetes. 1990;39:390â6. https://doi.org/10.2337/diab.39.3.390
Google ScholarÂ
Tuomilehto J, Li N, Dowse G, Gareeboo H, Chitson P, Fareed D, et al. The prevalence of coronary heart disease in the multi-ethnic and high diabetes prevalence population of Mauritius. J Intern Med. 1993;233:187â94. https://doi.org/10.1111/j.1365-2796.1993.tb00672.x
Google ScholarÂ
Söderberg S, Zimmet P, Tuomilehto J, de Courten M, Dowse GK, Chitson P, et al. Increasing prevalence of type 2 diabetes mellitus in all ethnic groups in Mauritius. Diabet Med. 2005;22:61â8. https://doi.org/10.1111/j.1464-5491.2005.01366.x
Google ScholarÂ
Mauritius Non-Communicable Disease Survey 2021. The trends in diabetes and cardiovascular disease risk in Mauritius. Available from: https://files.aho.afro.who.int/afahobckpcontainer/production/files/Mauritius-Non-Communicable-Diseases-Survey-2021.pdf (Accessed December 01. 2023)
Vos T, Gareeboo H, Roussety F. Ethnic differences in ischaemic heart disease and stroke mortality in Mauritius between 1989 and 1994. Ethn Health. 1998;3:45â54. https://doi.org/10.1080/13557858.1998.9961847
Google ScholarÂ
Magliano DJ, Söderberg S, Zimmet PZ, Cartensen B, Balkau B, Pauvaday V, et al. Mortality, all-cause and cardiovascular disease, over 15 years in multiethnic Mauritius: impact of diabetes and intermediate forms of glucose tolerance. Diabetes Care. 2010;33:1983â9. https://doi.org/10.2337/dc10-0312
Google ScholarÂ
Hodge AM, Dowse GK, Collins VR, Alberti KG, Gareeboo H, Tuomilehto J, et al. Abdominal fat distribution and insulin levels only partially explain adverse cardiovascular risk profile in Asian Indians. J Cardiovasc Risk. 1996;3:263â70.
Google ScholarÂ
Snijder MB, Zimmet PZ, Visser M, Dekker JM, Seidell JC, Shaw JE. Independent association of hip circumference with metabolic profile in different ethnic groups. Obes Res. 2004;12:1370â4. https://doi.org/10.1038/oby.2004.173
Google ScholarÂ
Nyamdorj R, Qiao Q, Söderberg S, Pitkäniemi JM, Zimmet PZ, Shaw JE, et al. BMI compared with central obesity indicators as a predictor of diabetes incidence in Mauritius. Obesity. 2009;17:342â8. https://doi.org/10.1038/oby.2008.503
Google ScholarÂ
Després JP. Intra-abdominal obesity: an untreated risk factor for type 2 diabetes and cardiovascular disease. J Endocrinol Invest. 2006;29:77â82. 3 Suppl
Google ScholarÂ
Dulloo AG, Jacquet J, Solinas G, Montani JP, Schutz Y. Body composition phenotypes in pathways to obesity and the metabolic syndrome. Int J Obes. 2010;34 Suppl 2:S4â17. https://doi.org/10.1038/ijo.2010.234
Google ScholarÂ
Nazare JA, Smith JD, Borel AL, Haffner SM, Balkau B, Ross R, et al. Ethnic influences on the relations between abdominal subcutaneous and visceral adiposity, liver fat, and cardiometabolic risk profile: the International Study of Prediction of Intra-Abdominal Adiposity and Its Relationship With Cardiometabolic Risk/Intra-Abdominal Adiposity. Am J Clin Nutr. 2012;96:714â26. https://doi.org/10.3945/ajcn.112.035758
Google ScholarÂ
Hwang YC, Fujimoto WY, Hayashi T, Kahn SE, Leonetti DL, Boyko EJ. Increased visceral adipose tissue is an independent predictor for future development of atherogenic dyslipidemia. J Clin Endocrinol Metab. 2016;101:678â85. https://doi.org/10.1210/jc.2015-3246
Google ScholarÂ
Raheem J, Sliz E, Shin J, Holmes MV, Pike GB, Richer L, et al. Visceral adiposity is associated with metabolic profiles predictive of type 2 diabetes and myocardial infarction. Commun Med. 2022;2:81. https://doi.org/10.1038/s43856-022-00140-5
Google ScholarÂ
Demographics of Mauritius. https://en.wikipedia.org/wiki/Demographics_of_Mauritius (Accessed 01 December 2023).
Sedentary Behaviour Research Network. Letter to the editor: standardized use of the terms âsedentaryâ and âsedentary behaviours. Appl Physiol Nutr Metab. 2012;37:540â2. https://doi.org/10.1139/h2012-024
Google ScholarÂ
Lohman TG, Roche AF, Martorell R. Anthropometric standardization reference manual. Champaign Illinois: Human Kinetics Book; 1988.
International Atomic Energy Agency. Dual energy x-ray absorptiometry for bone mineral density and body composition assessment. IAEA Human Health Series No.15, 2010. Available from: https://www-pub.iaea.org/MTCD/Publications/PDF/Pub1479_web.pdf. (Accessed 01. December 2023)
Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18:499â502.
Google ScholarÂ
Hunma S, Ramuth H, Miles-Chan JL, Schutz Y, Montani JP, Joonas N, et al. Body composition-derived BMI cut-offs for overweight and obesity in Indians and Creoles of Mauritius: comparison with Caucasians. Int J Obes. 2016;40:1906â14. https://doi.org/10.1038/ijo.2016.176
Google ScholarÂ
Ramuth H, Hunma S, Ramessur V, Ramuth M, Monnard C, Montani JP, et al. Body composition-derived BMI cut-offs for overweight and obesity in ethnic Indian and Creole urban children of Mauritius. Br J Nutr. 2020;124:481â92. https://doi.org/10.1017/S0007114519003404
Google ScholarÂ
Després JP, Lemieux I. Abdominal obesity and metabolic syndrome. Nature. 2006;444:881â7.
Google ScholarÂ
Després JP, Couillard C, Gagnon J, Bergeron J, Leon AS, Rao DC, et al. Race, visceral adipose tissue, plasma lipids, and lipoprotein lipase activity in men and women: the Health, Risk Factors, Exercise Training, and Genetics (HERITAGE) family study. Arterioscler Thromb Vasc Biol. 2000;20:1932â8. https://doi.org/10.1161/01.atv.20.8.1932
Google ScholarÂ
Carroll JF, Chiapa AL, Rodriquez M, Phelps DR, Cardarelli KM, Vishwanatha JK, et al. Visceral fat, waist circumference, and BMI: impact of race/ethnicity. Obesity. 2008;16:600â7. https://doi.org/10.1038/oby.2007.92
Google ScholarÂ
Eastwood SV, Tillin T, Dehbi HM, Wright A, Forouhi NG, Godsland I, et al. Ethnic differences in associations between fat deposition and incident diabetes and underlying mechanisms: the SABRE study. Obesity. 2015;23:699â706. https://doi.org/10.1002/oby.20997
Google ScholarÂ
Iliodromiti S, McLaren J, Ghouri N, Miller MR, Dahlqvist Leinhard O, Linge J, et al. Liver, visceral and subcutaneous fat in men and women of South Asian and white European descent: a systematic review and meta-analysis of new and published data. Diabetologia. 2023;66:44â56. https://doi.org/10.1007/s00125-022-05803-5
Google ScholarÂ
Wells JC. Commentary: why are South Asians susceptible to central obesity?-the El Niño hypothesis. Int J Epidemiol. 2007;36:226â7. https://doi.org/10.1093/ije/dyl287
Google ScholarÂ
Pilote L, Dasgupta K, Guru V, Humphries KH, McGrath J, Norris C, et al. A comprehensive view of sex-specific issues related to cardiovascular disease. CMAJ. 2007;176:S1â44. https://doi.org/10.1503/cmaj.051455
Google ScholarÂ
Lew J, Sanghavi M, Ayers CR, McGuire DK, Omland T, Atzler D, et al. Sex-based differences in cardiometabolic biomarkers. Circulation. 2017;135:544â55. https://doi.org/10.1161/CIRCULATIONAHA.116.023005
Google ScholarÂ
Reckelhoff JF. Gender differences in the regulation of blood pressure. Hypertension. 2001;37:1199â208.
Google ScholarÂ
Hall JE, Granger JP, Hester RL, Montani JP. Mechanisms of sodium balance in hypertension: role of pressure natriuresis. J Hypertens Suppl. 1986;4:S57â65.
Google ScholarÂ
Montani JP, Van Vliet BN. Understanding the contribution of Guytonâs large circulatory model to long-term control of arterial pressure. Exp Physiol. 2009;94:382â8. https://doi.org/10.1113/expphysiol.2008.043299
Google ScholarÂ
Hall JE, do Carmo JM, da Silva AA, Wang Z, Hall ME. Obesity-induced hypertension: interaction of neurohumoral and renal mechanisms. Circ Res. 2015;116:991â1006. https://doi.org/10.1161/CIRCRESAHA.116.305697
Google ScholarÂ
Montani JP, Carroll JF, Dwyer TM, Antic V, Yang Z, Dulloo AG. Ectopic fat storage in heart, blood vessels and kidneys in the pathogenesis of cardiovascular diseases. Int J Obes Relat Metab Disord. 2004;28:S58â65. Suppl 4
Google ScholarÂ
Nan L, Tuomilehto J, Dowse G, Zimmet P, Gareeboo H, Chitson P, et al. Prevalence and medical care of hypertension in four ethnic groups in the newly-industrialized nation of Mauritius. J Hypertens. 1991;9:859â66. https://doi.org/10.1097/00004872-199109000-00014
Google ScholarÂ
Nyamdorj R, Qiao Q, Söderberg S, Pitkäniemi J, Zimmet P, Shaw J, et al. Comparison of body mass index with waist circumference, waist-to-hip ratio, and waist-to-stature ratio as a predictor of hypertension incidence in Mauritius. Hypertens. 2008;26:866â70.
Google ScholarÂ
Agyemang C, Bhopal R. Is the blood pressure of people from African origin adults in the UK higher or lower than that in European origin white people? A review of cross-sectional data. J Hum Hypertens. 2003;17:523â34. https://doi.org/10.1038/sj.jhh.1001586
Google ScholarÂ
Harding S, Maynard M, Cruickshank JK, Gray L. Anthropometry and blood pressure differences in black Caribbean, African, South Asian and white adolescents: the MRC DASH study. J Hypertens. 2006;24:1507â14. https://doi.org/10.1097/01.hjh.0000239285.20315.4d
Google ScholarÂ
Agyemang C, Humphry RW, Bhopal R. Divergence with age in blood pressure in African-Caribbean and white populations in England: implications for screening for hypertension. Am J Hypertens. 2012;25:89â96.
Google ScholarÂ
Jensen MD. Role of body fat distribution and the metabolic complications of obesity. J Clin Endocrinol Metab. 2008;93:S57â63. https://doi.org/10.1210/jc.2008-1585. 11 Suppl 1
Google ScholarÂ
Manolopoulos KN, Karpe F, Frayn KN. Gluteofemoral body fat as a determinant of metabolic health. Int J Obes. 2010;34:949â59. https://doi.org/10.1038/ijo.2009.286
Google ScholarÂ
Karpe F, Pinnick KE. Biology of upper-body and lower-body adipose tissue-link to whole-body phenotypes. Nat Rev Endocrinol. 2015;11:90â100. https://doi.org/10.1038/nrendo.2014.185
Google ScholarÂ
Wiklund P, Toss F, Weinehall L, Hallmans G, Franks PW, Nordstrom A, et al. Abdominal and gynoid fat mass are associated with cardiovascular risk factors in men and women. J Clin Endocrinol Metab. 2008;93:4360â6.
Google ScholarÂ
Snijder MB, Zimmet PZ, Visser M, Dekker JM, Seidell JC, Shaw JE. Independent and opposite associations of waist and hip circumferences with diabetes, hypertension and dyslipidemia: the AusDiab Study. Int J Obes. 2004;28:402â9.
Google ScholarÂ
Snijder MB, Visser M, Dekker JM, Goodpaster BH, Harris TB, Kritchevsky SB, et al. Low subcutaneous thigh fat is a risk factor for unfavourable glucose and lipid levels, independently of high abdominal fat. the Health ABC Study. Diabetologia. 2005;48:301â8.
Google ScholarÂ
Fu X, Song A, Zhou Y, Ma X, Jiao J, Yang M, et al. Association of regional body fat with metabolic risks in Chinese women. Public Health Nutr. 2014;17:2316â24.
Google ScholarÂ
Vasan SK, Osmond C, Canoy D, Christodoulides C, Neville MJ, Di Gravio C, et al. Comparison of regional fat measurements by dual-energy X-ray absorptiometry and conventional anthropometry and their association with markers of diabetes and cardiovascular disease risk. Int J Obes. 2018;42:850â7.
Google ScholarÂ
Gowri S M, Antonisamy B, Geethanjali FS, Thomas N, Jebasingh F, Paul TV, et al. Distinct opposing associations of upper and lower body fat depots with metabolic and cardiovascular disease risk markers. Int J Obes. 2021;45:2490â8. https://doi.org/10.1038/s41366-021-00923-1
Google ScholarÂ
Kaul S, Rothney MP, Peters DM, Wacker WK, Davis CE, Shapiro MD, et al. Dual-energy X-ray absorptiometry for quantification of visceral fat. Obesity. 2012;20:1313â8. https://doi.org/10.1038/oby.2011.393
Google ScholarÂ
Choi YJ, Seo YK, Lee EJ, Chung YS. Quantification of visceral fat using dual-energy x-ray absorptiometry and its reliability according to the amount of visceral fat in Korean adults. J Clin Densitom. 2015;18:192â7. https://doi.org/10.1016/j.jocd.2015.02.001
Google ScholarÂ
Bea JW, Chen Z, Blew RM, Nicholas JS, Follis S, Bland VL, et al. MRI based validation of abdominal adipose tissue measurements from DXA in postmenopausal women. J Clin Densitom. 2022;25:189â97. https://doi.org/10.1016/j.jocd.2021.07.010
Google ScholarÂ
Chan B, Yu Y, Huang F, Vardhanabhuti V. Towards visceral fat estimation at population scale: correlation of visceral adipose tissue assessment using three-dimensional cross-sectional imaging with BIA, DXA, and single-slice CT. Front Endocrinol. 2023;14:1211696. https://doi.org/10.3389/fendo.2023.1211696
Google ScholarÂ
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