RESEARCH ARTICLE SA JOURNAL OF DIABETES & VASCULAR DISEASE 16 VOLUME 19 NUMBER 1 • JULY 2022 38. Baygi F, Herttua K, Jensen OC, et al. Global prevalence of cardiometabolic risk factors in the military population: a systematic review and meta-analysis. 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 BMI and waist circumference. Br Med J Open 2016; 6: e010159. 54. Alberti K, Eckel RH, Grundy SM, et al. 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. 55. World Medical Association. Declaration of Helsinki. Ethical principles for medical research involving human subjects. Available from: https://www.wma. net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medicalresearch-involving-human-subjects/. [Accessed 19 February 2020]. 56. Mokwena K, Shiba D. Prevalence of postnatal depression symptoms in a primary health care clinic in Pretoria, South Africa: management of health care services. Afr J Phys Health Ed Rec Dance 2014; 20: 116–127. 57. Regitz-Zagrosek V, Lehmkuhl E, Mahmoodzadeh S. Gender aspects of the role of the metabolic syndrome as a risk factor for cardiovascular disease. Gend Med 2007; 4: S162–S177. 58. Modjadji P, Madiba S. The double burden of malnutrition in a rural health and demographic surveillance system site in South Africa: a study of primary schoolchildren and their mothers. BMC Public Health 2019; 19: 1087. 59. 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. 60. Motlhale M, Ncayiyana JR. Migration status and prevalence of diabetes and hypertension in Gauteng province, South Africa: effect modification by demographic and socioeconomic characteristics – a cross-sectional populationbased study. Br Med J Open 2019; 9: e027427. 61. Noubiap JJ, Bigna JJ, Nansseu JR, et al. Prevalence of dyslipidaemia among adults in Africa: a systematic review and meta-analysis. Lancet Glob Health 2018; 6: e998–e1007. 62. Kassi E, Pervanidou P, Kaltsas G, et al. Metabolic syndrome: definitions and controversies. BMC Med 2011; 9: 48. 63. Martin MA, Lippert AM. Feeding her children, but risking her health: the intersection of gender, household food insecurity and obesity. Soc Sci Med 2012; 74: 1754–1764. 64. Otang-Mbeng W, Otunola GA, Afolayan AJ. Lifestyle factors and co-morbidities associated with obesity and overweight in Nkonkobe Municipality of the Eastern Cape, South Africa. J Health Popul Nutr 2017; 36: 22. 65. Wagner RG, Crowther NJ, Gómez-Olivé FX, et al. Sociodemographic, socioeconomic, clinical and behavioural predictors of body mass index vary by sex in rural South African adults-findings from the AWI-Gen study. Glob Health Action 2018; 11: 1549436. 66. Pradhan AD. Sex differences in the metabolic syndrome: implications for cardiovascular health in women. Clin Chem 2014; 60: 44–52.
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