Cardiovascular Journal of Africa: Vol 34 No 1 (JANUARY/APRIL 2023)

CARDIOVASCULAR JOURNAL OF AFRICA • Volume 34, No 1, January–April 2023 28 AFRICA SA), South African Medical Research Council (SAMRC), and ICF. 2019. SADHS 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. 18. Kruger MJ, Nell TA. The prevalence of the metabolic syndrome in a farm worker community in the Boland district, South Africa. BMC Public Health 2017; 17: 61. 19. Owolabi EO, Ter Goon D, Adeniyi OV, et al. Prevalence and correlates of metabolic syndrome among adults attending healthcare facilities in Eastern Cape, South Africa. TOPHJ 2017; 10. 20. Maimela E, Alberts M, Modjadji SE, et al. The prevalence and determinants of chronic non-communicable disease risk factors amongst adults in the Dikgale health demographic and surveillance system (HDSS) site, Limpopo Province of South Africa. PLoS One 2016; 11. 21. Manning K, Senekal M and Harbron J. Non-communicable disease risk factors and treatment preference of obese patients in Cape Town. Prim Health Care Fam Med 2016; 8: 1–12. 22. Thorogood M, Connor M, Tollman S, et al. A cross-sectional study of vascular risk factors in a rural South African population: data from the Southern African Stroke Prevention Initiative (SASPI). BMC Public Health 2007; 7: 326. 23. Bertram MY, Jaswal AV, van Wyk VP, et al. The non-fatal disease burden caused by type 2 diabetes in South Africa, 2009. Glob Health Action 2013; 6: 19244. 24. Bradshaw D, Norman R, Pieterse D, et al. Estimating the burden of disease attributable to diabetes South Africa in 2000. S Afr Med J 2007; 97: 700–706. 25. Cameron AJ, Boyko EJ, Sicree RA, et al. Central obesity as a precursor to the metabolic syndrome in the AusDiab study and Mauritius. Obesity 2008; 16: 2707–2716. 26. Barnard RJ, Roberts CK, Varon SM, et al. Diet-induced insulin resistance precedes other aspects of the metabolic syndrome. J Appl Physiol 1998; 84: 1311–1315. 27. Alberti KGM, Zimmet P, Shaw J. The metabolic syndrome – a new worldwide definition. Lancet 2005; 366: 1059–1062. 28. 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. Diabetic Med 1998; 15: 539–553. 29. Erasmus RT, Soita DJ, Hassan MS, et al. High prevalence of diabetes mellitus and metabolic syndrome in a South African coloured population: Baseline data of a study in Bellville, Cape Town. S Afr Med J 2012; 102: 841–844. 30. Motala AA, Esterhuizen T, Pirie FJ, et al. The prevalence of metabolic syndrome and determination of the optimal waist circumference cutoff points in a rural South African community. Diabetes Care 2011; 34: 1032–1037. 31. Hoebel S, Malan L, De Ridder H. Differences in MetS marker prevalence between black African and Caucasian teachers from the North West Province: Sympathetic activity and ambulatory blood pressure in Africans (SABPA) Study. J Endocrinol Metab Dis S Afr 2011; 16: 49–56. 32. Sekgala M, Monyeki K, Mogale A, et al. The risk of metabolic syndrome as a result of lifestyle among Ellisras rural young adults. J Hum Hypertens 2018; 32: 572–584. 33. Sekokotla MA, Goswami N, Sewani-Rusike CR, et al. Prevalence of metabolic syndrome in adolescents living in Mthatha, South Africa. Ther Clin Risk Manag 2017; 13: 131. 34. Cornier M-A, Dabelea D, Hernandez TL, et al. The metabolic syndrome. Endocr Rev 2008; 29: 777–822. 35. Stern MP, Williams K, González-Villalpando C, et al. Does the metabolic syndrome improve identification of individuals at risk of type 2 diabetes and/or cardiovascular disease? Diabetes Care 2004; 27: 2676–2681. 36. Crowther NJ, Norris SA. The current waist circumference cut point used for the diagnosis of metabolic syndrome in sub-Saharan African women is not appropriate. PloS One 2012; 7. 37. Prinsloo J, Malan L, De Ridder J, et al. Determining the waist circumference cut off which best predicts the metabolic syndrome components in urban Africans: the SABPA study. Exp Clin Endocrinol Diabetes 2011; 119: 599–603. 38. Baygi F, Herttua K, Jensen OC, et al. Global prevalence of cardiometabolic risk factors in the military population: a systematic review and metaanalysis. BMC Endocrin Disord 2020; 20: 8. 39. Miranda JJ, Barrientos-Gutiérrez T, Corvalan C, et al. Understanding the rise of cardiometabolic diseases in low- and middle-income countries. Nat Med 2019; 25: 1667–1679. 40. Williams DS, Máñez Costa M, Sutherland C, et al. Vulnerability of informal settlements in the context of rapid urbanization and climate change. Environ Urban 2019; 31: 157–176. 41. Clark HD, Graham ID, Karovitch A, et al. Do postal reminders increase postpartum screening of diabetes mellitus in women with gestational diabetes mellitus? A randomized controlled trial. Am J Obstet Gynecol 2009; 200: 634. e631–634. e637. 42. Statistics South Africa. Statistical Release P0441. Gross Domestic Product 2003. Available from: http://www.statssa.gov.za. [Accessed 26/05/2020]. 43. Oosthuizen M, Naidoo P. Internal Migration to the Gauteng Province. 2004 Available from: http://hdl.handle.net/11427/7376. [Accessed: 05/08/2021]. 44. Kruger H, Puoane T, Senekal M, et al. Obesity in South Africa: Challenges for Government and Health Professionals. Public Health Nutr 2005; 8: 491–500. 45. Cole TJ, Bellizzi MC, Flegal KM, et al. Establishing a standard definition for child overweight and obesity worldwide: international survey. Br Med J 2000; 320: 1240 46. Tshikotshi V. The challenges of eradicating informal settlements in South Africa by 2014: the case of Seraleng, Rustenburg Local Municipality, North West Province. 2010. 47. Housing Development Agency. South Africa: Informal settlements status 2012. Available from: http://www.thehda.co.za/uploads/files/HDA_ Informal_settlements_status_South_Africa.pdf. [Accessed: 26/09/2020]. 48. Ndlovu NSM. Exploring the planning challenges of service delivery in local municipalities: the case of the Midvaal local municipality. Doctoral dissertation, University of the Witwatersrand, Johannesburg, 2014. 49. Tauler P, Bennasar-Veny M, Morales-Asencio JM, et al. Prevalence of premorbid metabolic syndrome in Spanish adult workers using IDF and ATPIII diagnostic criteria: relationship with cardiovascular risk factors. PLoS One 2014; 9. 50. Riley L, Guthold R, Cowan M, et al. The World Health Organization STEPwise approach to non-communicable disease risk-factor surveillance: methods, challenges, and opportunities. Am J Public Health 2016; 106: 74–78. 51. Whelton PK, Carey RM, Aronow WS, et al. 2017ACC/AHA/AAPA/ ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2018; 71: e127–e248. 52. World Health Organization. Waist circumference and waist–hip ratio: report of a WHO expert consultation, Geneva, 8–11 December 2008. 2011. 53. Ashwell M, Gibson S. Waist-to-height ratio as an indicator of ‘early health risk’: simpler and more predictive than using a ‘matrix’based on

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