Abstract
Background
Diabetes has emerged as a leading global health problem associated with severe morbidity, mortality, and health-system costs. This is attributed to population growth, aging, urbanization, physical inactivity, and obesity. The increased prevalence of diabetes particularly in rural settings creates a public health challenge for prevention and treatment. However, there is currently a dearth of data supporting planning and implementation of programs for prevention and management of diabetes in rural communities.
Purpose of the study
The objective of this study was to estimate the prevalence of diabetes and its associated risk factors among a rural population in Meru County, Kenya.
Methods
A descriptive cross-sectional study was conducted in Imenti South, rural areas in Meru County between September and November 2019. Data from 435 respondents comprising 263 (60.5%) females and 172 (39.5%) males were analyzed. Prevalence ratios were calculated using Poisson regression models with robust variance to explore factors associated with the prevalence of diabetes.
Results
The prevalence of diabetes was higher among women (16.35%, 95% CI: 12.3–21.4) compared to that among men (13.95%, 95% CI: 9.5–20) and significantly increases with advancing age, BMI, previous diagnosis of hypertension, and high cholesterol. Our findings showed an overall diabetes prevalence of 15.4% (95% CI: 12.3–19.1) in the study area. Age, hypertension, BMI, physical inactivity, alcohol consumption, and tobacco use were significantly associated with a higher risk of diabetes.
Conclusion
Preventive intervention strategies should aim to address the modifiable correlates so as to reduce the burden of diabetes in rural communities in Kenya.
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Data availability
The data analyzed and presented to support the study findings are available from the corresponding author on reasonable request.
References
I. D. Federation, “IDF diabetes atlas ninth edition 2019,” 2019.
Dunachie S, Chamnan P. The double burden of diabetes and global infection in low and middle-income countries. Trans R Soc Trop Med Hyg. 2019;113(2):56–64.
Achoki T, Miller-Petrie MK, Glenn SD, Kalra N, Lesego A, Gathecha GK, et al. Health disparities across the counties of Kenya and implications for policy makers, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Glob Health. 2019;7(1):e81–95. https://doi.org/10.1016/S2214-109X(18)30472-8.
Christensen DL, Friis H, Mwaniki DL, Kilonzo B, Tetens I, Boit MK, et al. Prevalence of glucose intolerance and associated risk factors in rural and urban populations of different ethnic groups in Kenya. Diabetes Res Clin Pract. 2009;84(3):303–10. https://doi.org/10.1016/j.diabres.2009.03.007.
Guariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2014;103(2):137–49. https://doi.org/10.1016/j.diabres.2013.11.002.
Ayah R, et al. A population-based survey of prevalence of diabetes and correlates in an urban slum community in Nairobi, Kenya. BMC Public Health. 2013;13(1):371. https://doi.org/10.1186/1471-2458-13-371.
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(1):569. https://doi.org/10.1186/1471-2458-10-569.
Shannon GD, Haghparast-Bidgoli H, Chelagat W, Kibachio J, Skordis-Worrall J. Innovating to increase access to diabetes care in Kenya: an evaluation of Novo Nordisk’s base of the pyramid project. Glob Health Action. 2019;12(1):1605704. https://doi.org/10.1080/16549716.2019.1605704.
O’Hara EG, et al. Diabetes in rural Africa: what can Kenya show us? Lancet Diabetes Endocrinol. 2016;4(10):807–9. https://doi.org/10.1016/S2213-8587(16)30086-9.
Zhang Y, Pan XF, Chen J, Xia L, Cao A, Zhang Y, et al. Combined lifestyle factors and risk of incident type 2 diabetes and prognosis among individuals with type 2 diabetes: a systematic review and meta-analysis of prospective cohort studies. Diabetologia. 2020;63(1):21–33. https://doi.org/10.1007/s00125-019-04985-9.
El-busaidy H, Dawood M, Kasay A, Mwamlole C, Koraya N, Parpia H. How serious is the impact of type II diabetes in rural Kenya? Open Diabetes J. 2014;7(1):1–4. https://doi.org/10.2174/1876524601407010001.
Chege MP. Risk factors for type 2 diabetes mellitus among patients attending a rural Kenyan hospital. Afr J Prim Health Care Fam Med. 2010;2(1). https://doi.org/10.4102/phcfm.v2i1.96.
Githinji GG, Hussein AA, Kimani T, Mutuku B, Githuku J, Gura Z, et al. Prevalence of diabetes and co-morbidities in five rural and semi-urban Kenyan counties, 2010–2015. Int J Diabetes Dev Ctries. 2018;38(2):243–8. https://doi.org/10.1007/s13410-017-0566-1.
Mkuu RS, Gilreath TD, Wekullo C, Reyes GA, Harvey IS. Social determinants of hypertension and type-2 diabetes in Kenya: a latent class analysis of a nationally representative sample. PLoS ONE. 2019;14(8):e0221257. https://doi.org/10.1371/journal.pone.0221257.
Oti SO, van de Vijver SJM, Agyemang C, Kyobutungi C. The magnitude of diabetes and its association with obesity in the slums of Nairobi, Kenya: results from a cross-sectional survey. Tropical Med Int Health. 2013;18(12):1520–30. https://doi.org/10.1111/tmi.12200.
Chivese T, et al. Prevalence of type 2 diabetes mellitus in women of childbearing age in Africa during 2000–2016: a systematic review and meta-analysis. BMJ Open. 2019;9(5):e024345. https://doi.org/10.1136/bmjopen-2018-024345.
Kengne AP, et al. Trends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies. Int J Epidemiol. 2017;46(5):1421–32. https://doi.org/10.1093/ije/dyx078.
Mohamed SF, et al. Prevalence and factors associated with pre-diabetes and diabetes mellitus in Kenya: results from a national survey. BMC Public Health. 2018;18(3):1215. https://doi.org/10.1186/s12889-018-6053-x.
Suastika K, Dwipayana P, Semadi MS, and Kuswardhani RAT. “Age is an important risk factor for type 2 diabetes mellitus and cardiovascular diseases”. Glucose Toler 2012. https://doi.org/10.5772/52397.
Cheung BMY, Li C. Diabetes and hypertension: is there a common metabolic pathway? Curr Atheroscler Rep. 2012;14(2):160–6. https://doi.org/10.1007/s11883-012-0227-2.
Ferrannini E, Cushman WC. Diabetes and hypertension: the bad companions. Lancet. 2012;380(9841):601–10. https://doi.org/10.1016/S0140-6736(12)60987-8.
Irazola VE, et al. Hypertension prevalence, awareness, treatment, and control in selected LMIC communities: results from the NHLBI/UHG Network of Centers of Excellence for Chronic Diseases. Glob Heart. 2016;11(1):Art. no. 1. https://doi.org/10.1016/j.gheart.2015.12.008.
WHO. Global status report on noncommunicable diseases 2014. 2014.
Bird SR, Hawley JA. Update on the effects of physical activity on insulin sensitivity in humans. BMJ Open Sport Exerc Med. 2017;2(1):e000143. https://doi.org/10.1136/bmjsem-2016-000143.
Hjerkind KV, Stenehjem JS, Nilsen TIL. Adiposity, physical activity and risk of diabetes mellitus: prospective data from the population-based HUNT study, Norway. BMJ Open. 2017;7(1):e013142. https://doi.org/10.1136/bmjopen-2016-013142.
Acknowledgments
The study team would like to thank the Project implementation team from the KRCS, Health and Social Services department, for their support and coordination. We would also like to extend our thanks to the participants for their participation in the study.
Funding
This research study was funded by the Danish Red Cross (DRC) and is based on baseline findings from the DRC and Kenya Red Cross Society (KRCS) Prevention and Control of Non-Communicable Diseases (Diabetes and Hypertension) project.
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SK and ASH conceptualized, wrote, and revised the manuscript. Data analysis, interpretation, and writing were conducted by SK, ASH, and RM. RM and LA were involved in data acquisition and analysis, manuscript preparation, editing, and review.
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Informed verbal consent was sought from all participants following a detailed explanation of the study in local dialect to ensure that they understood the information to make the consent. Participation was voluntary without any coercion or penalty for refusal to participate in the study. Confidentiality was assured by undertaking the interviews in a private setting; anonymity and privacy of all information were guaranteed at all the levels of this study. During the survey, any person with high blood pressure was counseled and referred to the nearest health facility to get appropriate care and attention if they were not currently receiving any treatment.
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Sarah, K., Abdillahi, H.S., Reuben, M. et al. Prevalence and risk factors associated with diabetes in Meru County, Kenya: a cross-sectional study. Int J Diabetes Dev Ctries 41, 412–418 (2021). https://doi.org/10.1007/s13410-020-00902-8
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DOI: https://doi.org/10.1007/s13410-020-00902-8