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Prevalence and Risk Factors of Elevated Blood Pressure and Elevated Blood Glucose among Residents of Kajiado County, Kenya: A Population-Based Cross-Sectional Survey

Ongosi, Anita Nyaboke 京都大学 DOI:10.14989/doctor.k23093

2021.03.23

概要

Background: Kenya is experiencing a rising burden of noncommunicable diseases (NCDs). The national survey (2015) estimated the prevalence of hypertension at 24.5% and diabetes at 2.4%. It is projected that if the current policy directions and interventions that give more emphasis on communicable diseases (CDs) are sustained, deaths from CDs may reduce by 48%, but deaths from NCDs increase by 55% by 2030, yet data to inform effective interventions are limited. The rise of NCDs has been attributed mainly to economic transition, rapid urbanization, demographic transition and lifestyle changes. In Kenya, 22.3% of the population is urban, with an annual urbanization growth rate of 4.2%, which is almost double the national population growth rate of 2.4%. Therefore, to tackle NCDs, it is important to investigate the NCDs risk factors, focusing on rapidly urbanizing areas.

In this study the prevalence of elevated blood pressure (EBP, pre-hypertension and hypertension), elevated blood glucose (EBG, pre-diabetes and diabetes) and their determinants were investigated in Kajiado County, a typical rapidly urbanizing area spreading over 21,292.7 km2 to the south of Nairobi, the capital of Kenya.

Methods: 221 men and 372 women (25–64 years) were recruited using a stratified multi-stage cluster sampling method between November 2016 and August 2017 in Kajiado County. Data on socio-demographics, dietary and behavioural risk factors were collected using a questionnaire. Anthropometric, blood pressure, blood glucose, plasma lipids and urinary biomarkers were measured using standardized procedures. Multivariable logistic regression models assessed correlates of EBP and EBG.

Results: The prevalence of pre-hypertension and hypertension were 49.0% and 31.6% in men and 43.7% and 20.1% in women, respectively, while those of pre-diabetes and diabetes were 8.4% and 8.0% in men and 11.6% and 7.4% in women, respectively. The prevalence of body mass index (BMI) ≥25 kg/m2 was higher in women (60.2%) than in men (39.7%). However, the association of EBP was stronger among men (adjusted odds ratio [AOR]= 3.23 [95%CI 1.20, 8.68] for BMI ≥25–29 kg/m2 and 17.13 [95%CI 1.85–158.5] for BMI ≥30 kg/m2 ) than among women (AOR = 1.47 [95%CI 0.86, 2.51] and 2.30 [95% CI 1.23, 4.33]).
Likewise, the association of EBG was stronger among men (AOR = 2.49 [95% CI 0.89–6.91] for BMI 25–29 kg/m2 and 5.33 [95% CI 1.78–16.00] for BMI ≥30kg/m2) than among women (AOR = 0.74 [95% CI 0.33, 1.68] and 2.43 [95% CI 1.16–5.06]). Additionally, low physical activity, low vegetable/fruit intake and high urinary Na/K ratio (>2.0) were prevalent in both sexes.

Conclusion: This is the first study to determine the distribution of EBP and EBG and their correlates in Kajiado County. The high prevalence rates of EBP, EBG and overweight/obesity coupled with low physical activity and low fruit and vegetable intake appeared to predispose this population to a higher NCD risk. Interventions to mitigate this risk considering the sex differences are urgently required, including sensitization programs to increase awareness on the adequate physical activity, consumption of healthy foods, and increased awareness of NCDs which will promote screening, early diagnosis, treatment and rehabilitation.

参考文献

1. Goryakin, Y.; Rocco, L.; Suhrcke, M. The contribution of urbanization to non-communicable diseases: Evidence from 173 countries from 1980 to 2008. Econ. Hum. Biol. 2017, 26, 151–163, doi:10.1016/j.ehb.2017.03.004. pmid: 28410489.

2. Lozano, R.; Naghavi, M.; Foreman, K.; Lim, S.; Shibuya, K.; Aboyans, V.; Abraham, J.; Adair, T.; Aggarwal, R.; Ahn, S.Y.; et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, doi:10.1016/S0140- 6736(12)61728-0. pmid: 23245604.

3. Aikins, A.d.-G.; Unwin, N.; Agyemang, C.; Allotey, P.; Campbell, C.; Arhinful, D. Tackling Africa’s chronic disease burden: From the local to the global. Glob. Health 2010, 6, 5, doi:10.1186/1744-8603-6-5. pmid: 20403167.

4. Alwan, A. Global Status Report on Noncommunicable Diseases 2010; World Health Organization Press: Geneva, Switzerland, 2011.

5. Mathers, C.D.; Loncar, D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 2006, doi:10.1371/journal.pmed.0030442. pmid: 17132052.

6. Dalal, S.; Beunza, J.J.; Volmink, J.; Adebamowo, C.; Bajunirwe, F.; Njelekela, M.; Mozaffarian, D.; Fawzi, W.; Willett, W.; Adami, H.-O.; et al. Non-communicable diseases in sub-Saharan Africa: What we know now. Int. J. Epidemiol. 2011, doi:10.1093/ije/dyr050. pmid: 21527446.

7. World Health Organisation. Non-Communicable Diseases and Mental Health Fact sheet [Internet] World Health Organisation December 2009.7. Available online: https://www.who.int/nmh/newsletter_december_20091211_en.pdf (accessed on 4 February 2015).

8. World Health Organisation. Noncommunicable Diseases (NCD) Country Profiles-Kenya [Internet]. 2014. Available online: https://www.who.int/nmh/countries/2018/ken_en.pdf?ua=1 (accessed on 21 January 2017).

9. Hendriks, M.E.; Wit, F.W.; Roos, M.T.; Brewster, L.M.; Akande, T.M.; De Beer, I.H.; Mfinanga, S.G.; Kahwa, A.M.; Gatongi, P.; Van Rooy, G.; et al. Hypertension in Sub-Saharan Africa: Cross-sectional surveys in four rural and urban communities. PLoS ONE 2012, 7, doi:10.1371/journal.pone.0032638. pmid: 22427857.

10. Hassan, A. Prevalence of Cardiovascular Disease Risk Factors in Urban Garissa Residents. Master’s Thesis, College of Health Sciences, University of Nairobi, Nairobi, Kenya, 2012. Available online: http://erepository.uonbi.ac.ke/handle/11295/6910 (accessed on 12 June 2018).

11. Ettarh, R.; Van de Vijver, S.; Oti, S.; Kyobutungi, C. Overweight, Obesity, and Perception of Body Image Among Slum Residents in Nairobi, Kenya, 2008–2009. Prev. Chronic Dis. 2013, 10, doi:10.5888/pcd10.130198. pmid: 24355105.

12. Mathenge, W.; Foster, A.; Kuper, H. Urbanization, ethnicity and cardiovascular risk in a population in transition in Nakuru, Kenya: A population-based survey. BMC Public Health 2010, 10, 569, doi:10.1186/1471- 2458-10-569. pmid: 24355105.

13. International Diabetes Federation. Diabetes Atlas 8th Edition [Internet] IDF Atlas. 2017. Available online: https://reports.instantatlas.com/report/view/704ee0e6475b4af885051bcec15f0e2c/KEN (accessed on 11 August 2018).

14. Ministry of Health Kenya. Kenya Health Policy 2014 to 2030. ID UH2030-78. Available online: http://publications.universalhealth2030.org/ref/d6e32af10e5c515876d34f801774aa9a (accessed on 3 November 2016).

15. Diabetes, T.L. Endocrinology. Urbanisation, inequality, and non-communicable disease risk. Lancet Diabetes Endocrinol. 2017, 5, 313, doi:10.1016/S2213-8587(17)30116-X. pmid: 28395876.

16. Kenya National Bureau of Statistics. Population Distribution by Age, Sex and Administrative Units- Volume 1C 2009 Census. 2010. Available online: https://www.knbs.or.ke/download/volume-1c- population-distribution-by-age-sex-and-administrative-units/ (accessed on 9 October 2016).

17. Kajiado County Integrated Development Plan 2018–2022. Available online: https://www.cog.go.ke/downloads/category/106-county-integrated-development-plans-2018–2022 (accessed on 28 August 2020).

18. Kaptuya, S.P. The Impact of Urbanization on The Livelihoods of The Maasai Community: A Case Study of Ngong Ward, Kajiado County. Master’s Thesis, Department of Geography and Environmental Studies, University of Nairobi, Nairobi, Kenya, 2013. Available online: https://pdfs.semanticscholar.org/1bd1/75f2084c131bab576c155975fd03e6a07b93.pdf?_ga=2.97687839.18178 65337.1600762596-632785914.1599062260 (accessed on 2 September 2020).

19. Kabubo-Mariara, J. Climate change adaptation and livestock activity choices in Kenya: An economic analysis. Nat. Resour. Forum. 2008, 32, 131–141, doi:10.1111/j.1477-8947.2008.00178.x.

20. Leal Filho, W.; Osano, P.M.; Said, M.Y.; de Leeuw, J.; Moiko, S.S.; Kaelo, D.O.; Birner, R.; Ogutu, J.O. Pastoralism and ecosystem-based adaptation in Kenyan Masailand. Int. J. Clim. Chang. Str. 2013, doi:10.1108/17568691311327596.

21. Kajiado County Office of the Controller of Budget Report. 2016. Available online: http://cob.go.ke/counties/kajiado-county/ (accessed on 8 May 2016).

22. Lavrakas, P.J. Within-Household Respondent Selection: How Best to Reduce Total Survey Error. Media Rating Council Respondent Selection Report. 2008. Available online: http://mediaratingcouncil.org/MRC%20Point%20of%20View%20-%20Within%20HH%20Respondent%20 Selection%20Methods.pdf (accessed on 9 October 2016).

23. United Nations Educational, Scientific and Cultural Organization. Guide to the Analysis and Use of Household. UNESCO Institute of Statistics. 2004. Available online: http://uis.unesco.org/sites/default/files/documents/guide-to-the-analysis-and-use-of-household-survey- and-census-education-data-en_0.pdf (accessed on 10 October 2016).

24. Wiegand, H.; Kish, L. Survey Sampling; John Wiley & Sons Inc.: New York, NY, USA; London, UK, 1965; pp. 88–89, doi:10.1002/bimj.19680100122.

25. Joshi, M.D.; Ayah, R.; Njau, E.K.; Wanjiru, R.; Kayima, J.K.; Njeru, E.K.; Mutai, K.K. Prevalence of hypertension and associated cardiovascular risk factors in an urban slum in Nairobi, Kenya: A population- based survey. BMC Public Health 2014, 14, 1177, doi:10.1186/1471-2458-14-1177. pmid: 25407513.

26. Ogola, E.N. Healthy Heart Africa Report: The Kenyan Experience. Astra Zeneca. 2015. Available online: http://www.pascar.org/uploads/files/HEALTHY_HEART_AFRICA_Elijah_Ogola.pdf (accessed on 4 July 2017).

27. Olack, B.; Wabwire-Mangen, F.; Smeeth, L.; Montgomery, J.M.; Kiwanuka, N.; Breiman, R.F. Risk factors of hypertension among adults aged 35-64 years living in an urban slum Nairobi, Kenya. BMC Public Health 2015, 15, 1–9, doi:10.1186/s12889-015-2610-8. pmid: 26679701.

28. Landis, J.R.; Koch, G.G. The measurement of observer agreement for categorical data. Biometrics 1977, 159– 174, doi:10.2307/2529310.

29. World Health Organization. World Health Organisation STEPwise Approach to NCD Risk Factor Surveillance. 2003. Available online: https://www.who.int/ncd_surveillance/en/steps_framework_dec03.pdf (accessed on 12 April 2016).

30. World Health Organisation. Global Recommendations on Physical Activity for Health. 2010. Available online: https://www.who.int/dietphysicalactivity/global-PA-recs-2010.pdf (accessed on 8 June 2016).

31. World Health Organisation. World Health Organisation NCDs | STEPwise Approach to Chronic Disease Risk Factor Surveillance. 2017. Available online: https://www.who.int/ncds/surveillance/steps/kenya/en/ (accessed on 2 September 2018).

32. Tolonen, H.; Koponen, P.; Aromaa, A.; Conti, S.; Graff-Iversen, S.; Grøtvedt, L.; Kanieff, M.; Mindell, J.; Natunen, S.; Primatesta, P. Recommendations for the Health Examination Surveys in Europe. 2008. Available online: https://discovery.ucl.ac.uk/id/eprint/13758/1/13758.pdf (accessed on 11 June 2016).

33. World Health Organisation. Use of Glycated Haemoglobin (HbA1c) in the Diagnosis of Diabetes. Mellitus. 2011. Available online: https://www.who.int/diabetes/publications/report-hba1c_2011.pdf (accessed on 3 November 2016).

34. Expert Panel on Detection, Evaluation. 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, doi:10.1001/jama.285.19.2486. pmid: 11368702.

35. Cook, N.R.; Obarzanek, E.; Cutler, J.A.; Buring, J.E.; Rexrode, K.M.; Kumanyika, S.K.; Appel, L.J.; Whelton, P.K.; Trials of Hypertension Prevention Collaborative Research Group. Joint Effects of Sodium and Potassium Intake on Subsequent Cardiovascular Disease: The Trials of Hypertension Prevention Follow- up Study. Arch Intern Med. 2009, 169, 32–40, doi:10.1001/archinternmed.2008.523. pmid: 19139321.

36. Iwahori, T.; Miura, K.; Ueshima, H. Time to consider use of the sodium-to-potassium ratio for practical sodium reduction and potassium increase. Nutrients 2017, 9, 700, doi:10.3390/nu9070700. pmid: 28678188.

37. Gupta, A.K.; Brashear, M.M.; Johnson, W.D. Coexisting prehypertension and prediabetes in healthy adults: A pathway for accelerated cardiovascular events. Hypertens Res. 2011, 34, 456–461, doi:10.1038/hr.2010.267. pmid: 21228791.

38. Huang, Y.; Wang, S.; Cai, X.; Mai, W.; Hu, Y.; Tang, H.; Xu, D. Prehypertension and incidence of cardiovascular disease:a meta-analysis. BMC Med. 2013, 11, 177, doi:10.1186/1741-7015-11-177. pmid: 23915102.

39. Meier, P.; Messerli, F.H.; Baumbach, A.; Lansky, A.J. Pre-hypertension:another ‘pseudodisease?’ BMC Med. 2013, 46, 2–4, doi:10.1186/1741-7015-11-211. pmid: 24229371.

40. CDC. The Surprising Truth About Prediabetes Features. The National Center for Chronic Disease Prevention and Health Promotion. 2018. Available online: https://www.cdc.gov/features/diabetesprevention/index.html (accessed on 25 May 2019).

41. Groenwold, R.H.H.; White, I.R.; Donders, A.R.T.; Carpenter, J.R.; Altman, D.G.; Moons, K.G.M. Missing covariate data in clinical research: When and when not to use the missing-indicator method for analysis. CMAJ. 2012, 184, 1265–1269, doi:10.1503/cmaj.110977. pmid: 22371511.

42. Organization PAHO. Non-Communicable Diseases and Gender Success in NCD Prevention and Control Depends on Attention to Gender Roles. PAHO Fact Sheet 2011. Available online: https://www.paho.org/hq/dmdocuments/2011/gdr-ncd-gender-factsheet-final.pdf (accessed on 13 July 2018).

43. World Health Organisation. Women and Health today’s evidence tomorrow’s agenda. 2009. Available online: https://www.who.int/gender-equity-rights/knowledge/9789241563857/en/ (accessed on 13 August 2017).

44. World Health Organisation, Gender, Health, Tobacco and Equity FCTC Report. 2011. Available online: https://www.who.int/tobacco/publications/gender/gender_tobacco_2010.pdf (accessed on 10 February 2017).

45. Pathania, V.S. Women and the smoking epidemic: Turning the tide. Bull World Health Organ. 2011, 89, 162, doi:10.2471/BLT.11.086389. PMID: 21379407; PMCID: PMC3044260.

46. DeVon, H.A.; Ryan, C.J.; Ochs, A.L.; Shapiro, M. Symptoms across the continuum of acute coronary syndromes: Differences between women and men. Am. J. Crit. Care 2008, 17, 14–24.

47. Mohamed, S.F.; Mutua, M.K.; Wamai, R.; Wekesah, F.; Haregu, T.; Juma, P.; Nyanjau, L.; Kyobutungi, C.; Ogola, E. Prevalence, awareness, treatment and control of hypertension and their determinants: Results from a national survey in Kenya. BMC Public Health 2018, 18, 1219, doi:10.1186/s12889-018-6052-y. pmid: 30400858.

48. Mohamed, S.F.; Mwangi, M.; Mutua, M.K.; Kibachio, J.; Hussein, A.; Ndegwa, Z.; Asiki, G.; Kyobutungi, C. Prevalence and factors associated with pre-diabetes and diabetes mellitus in Kenya: Results from a national survey. BMC Public health 2018, 18, 1215, doi:10.1186/s12889-018-6053-x. pmid: 30400865.

49. Ministry of Health, Kenya. Division of Non-Communicable diseases. Kenya STEPwise Survey for Non- Communicable Diseases Risk Factors 2015 Report. Available online: http://aphrc.org/wp- content/uploads/2016/04/Steps-Report-NCD-2015.pdf (accessed on 10 December 2016).

50. Cappuccio, F.P.; Miller, M.A. Cardiovascular disease and hypertension in sub-Saharan Africa: Burden, risk and interventions. Intern. Emerg. Med. 2016, 11, 299–305, doi:10.1007/s11739-016-1423-9. pmid: 27001886.

51. BeLue, R.; Okoror, T.A.; Iwelunmor, J.; Taylor, K.D.; Degboe, A.N.; Agyemang, C.; Ogedegbe, G. An overview of cardiovascular risk factor burden in sub-Saharan African countries: A socio-cultural perspective. Global Health 2009, 5, 10, doi:10.1186/1744-8603-5-10. pmid: 19772644.

52. Bloomfield, G.S.; Mwangi, A.; Chege, P.; Simiyu, C.J.; Aswa, D.F.; Odhiambo, D.; Obala, A.A.; Ayuo, P.; Khwa-Otsyula, B.O. Multiple cardiovascular risk factors in Kenya: Evidence from a health and demographic surveillance system using the WHO STEPwise approach to chronic disease risk factor surveillance. Heart 2013, 99, 1323–1329, doi:10.1136/heartjnl-2013-303913. pmid: 23872588.

53. Gichu, M.; Asiki, G.; Juma, P.; Kibachio, J.; Kyobutungi, C.; Ogola, E. Prevalence and predictors of physical inactivity levels among Kenyan adults (18–69 years): An analysis of STEPS survey 2015. BMC Public Health 2018, 18, 1217, doi:10.1186/s12889-018-6059-4. pmid: 30400897.

54. Healthy Active Kids Kenya (HAKK). Kenya’s 2016 Report Card on Physical Activity and Body Weight of Children and Youth Healthy Active Kids Kenya. 2016. Available online: https://www.activehealthykids.org/wp-content/uploads/2016/11/kenya-report-card-long-form-2016.pdf (accessed on 14 March 2018).

55. World Health Organization. WHO Global Infobase Kenya Global School-Based Student Health Survey 2003. Available online: https://extranet.who.int/ncdsmicrodata/index.php/catalog/13 (accessed on 23 March 2018).

56. Group ICR. Intersalt: An international study of electrolyte excretion and blood pressure. Results for 24- hour urinary sodium and potassium excretion. BMJ 1988, 319–328, doi:10.1136/bmj.297.6644.319. pmid: 3416162.

57. Stamler, J.; Rose, G.; Stamler, R.; Elliott, P.; Dyer, A.; Marmot, M. INTERSALT study findings. Public health and medical care implications. Hypertension 1989, 14, 570–577, doi:10.1161/01.hyp.14.5.570. pmid: 2807518.

58. Buzzard, M. 24-hour dietary recall and food record methods. In Nutritional Epidemiology; Walter, W., Ed.; Oxford University Press: New York, NY, USA, 1998; pp. 50–73, doi:10.1093/acprof:oso/9780195122978.003.04.

59. Patel, S.A.; Ali, M.K.; Alam, D.; Yan, L.L.; Levitt, N.S.; Bernabe-Ortiz, A.; Checkley, W.; Wu, Y.; Irazola, V.; Gutierrez, L.; et al. Obesity and its relation with diabetes and hypertension: A cross-sectional study across 4 geographical regions. Glob. Heart 2016, 11, 71–79, doi:10.1016/j.gheart.2016.01.003. pmid: 27102024.

60. Group NRFCAW. Trends in obesity and diabetes across Africa from 1980 to 2014: An analysis of pooled population-based studies. Int. J. Epidemiol. 2017, 46, 1421–1432, doi:10.1093/ije/dyx078. pmid: 28582528.

61. Dua, S.; Bhuker, M.; Sharma, P.; Dhall, M.; Kapoor, S. Body mass index relates to blood pressure among adults. N. Am. J. Med. Sci. 2014, 6, 89, doi:10.4103/1947-2714.127751. pmid: 24696830.

62. Mudie, K.; Lawlor, D.A.; Pearce, N.; Crampin, A.; Tomlinson, L.; Tafatatha, T.; Musicha, C.; Nitsch, D.; Smeeth, L.; Nyirenda, M.J. How does the association of general and central adiposity with glycaemia and blood pressure differ by gender and area of residence in a Malawian population: A cross-sectional study. Int. J. Epidemiol. 2018, 47, 887–898, doi:10.1093/ije/dyy047. pmid: 29648664.

63. Demmler, K.M.; Ecker, O.; Qaim, M. Supermarket shopping and nutritional outcomes: A panel data analysis for urban Kenya. World Dev. 2018, 102, 292–303, doi:10.1016/j.worlddev.2017.07.018.

64. Kayima, J.; Wanyenze, R.K.; Katamba, A.; Leontsini, E.; Nuwaha, F. Hypertension awareness, treatment and control in Africa: A systematic review. BMC Cardiovasc. Disord. 2013, 13, 54, doi:10.1186/1471-2261-13-54. pmid: 23915151.

65. Colangelo, L.A.; Vu, T.-H.T.; Szklo, M.; Burke, G.L.; Sibley, C.; Liu, K. Is the association of hypertension with cardiovascular events stronger among the lean and normal weight than among the overweight and obese? The multi-ethnic study of atherosclerosis. Hypertension 2015, 66, 286–293, doi:10.1161/hypertensionaha.114.04863. pmid: 26077561.

66. Sandberg, K.; Ji, H. Sex differences in primary hypertension. Biol .Sex Differ. 2012, 3, 7, doi:10.1186/2042- 6410-3-7.

67. Ogola, E.; Yonga, G.; Njau, K. A14369 High Burden of Prehypertension in Kenya: Results from the Healthy Heart Africa (HHA) program. J. Hypertens. 2018, 36, e330, doi:10.1097/01.hjh.0000549349.56306.39.

68. Kiplagat, S.V.; Lydia, K.; Jemimah, K.; Drusilla, M. Prevalence of Dyslipidemia and the Associated Factors Among Type 2 Diabetes Patients in Turbo Sub-County, Kenya. J. Endocrinol. Diab. 2017, 4, 1–9, doi:10.15226/2374-6890/4/5/00190.

69. Abalkhail, B.A.; Shawky, S.; Ghabrah, T.M.; Milaat, W.A. Hypercholesterolemia and 5-year risk of development of coronary heart disease among university and school workers in Jeddah, Saudi Arabia. Prev Med. 2000, 31, 390–395.doi:10.1006/pmed.2000.0713. pmid: 11006064.

70. Mahley, R.W.; Palaoğlu, K.E.; Atak, Z.; Dawson-Pepin, J.; Langlois, A.M.; Cheung, V.; Onat, H.; Fulks, P.; Mahley, L.L.; Vakar, F. Turkish Heart Study: Lipids, lipoproteins, and apolipoproteins. J. Lipid Res. 1995, 36, 839–859. pmid: 7616127.

71. Yarnell, J.; Yu, S.; McCrum, E.; Arveiler, D.; Hass, B.; Dallongeville, J.; Montaye, M.; Amouyel, P.; Ferrières, J.; Ruidavets, J.-B.; et al. Education, socioeconomic and lifestyle factors, and risk of coronary heart disease: The PRIME Study. Int. J. Epidemiol. 2004, 34, 268–275.doi:10.1093/ije/dyh267. pmid: 15319403.

72. Crampin, A.C.; Kayuni, N.; Amberbir, A.; Musicha, C.; Koole, O.; Tafatatha, T.; Branson, K.; Saul, J.; Mwaiyeghele, E.; Nkhwazi, L.; et al. Hypertension and diabetes in Africa: Design and implementation of a large population-based study of burden and risk factors in rural and urban Malawi. Emerg. Themes Epidemiol. 2016, 13, 3, doi:10.1186/s12982-015-0039-2. pmid: 26839575.

73. Hu, G.; Jousilahti, P.; Peltonen, M.; Lindström, J.; Tuomilehto, J. Urinary sodium and potassium excretion and the risk of type 2 diabetes: A prospective study in Finland. Diabetologia 2005, 48, 1477–1483, doi:10.1007/s00125-005-1824-1. pmid: 15971060.

74. Thorburn, A.W.; Brand, J.C.; Truswell, A.S. Salt and the glycaemic response. Br. Med. J. 1986, 292, 1697– 1699, doi:10.1136/bmj.292.6537.1697.

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