- Research article
- Open Access
Prevalence and associated factors of hypertension among adults with diabetes mellitus in northern Sudan: a cross-sectional study
BMC Cardiovascular Disorders volume 21, Article number: 168 (2021)
Hypertension and diabetes mellitus (DM), are highly prevalent worldwide health non-communicable diseases, and are associated with chronic complications. The co-existence of both conditions accelerates the related complications and increases morbidities and mortalities. A cross-sectional study was conducted in Nahr an Nil State (River Nile State) in Sudan between May and August 2018 to identify the prevalence of hypertension and risk factors among patients with DM in that region.
The median (interquartile) age of the 1,973 enrolled patients was 58.0 (50.0‒65.0) years, and 818 (45.6%) were males. The median (interquartile) duration of diabetes was 5.0 (3.0‒9.0) years. Of the 1,973 enrolled participants, 21.7%, 1.3%, 37.1%, and 39.9% were normal weight, underweight, overweight, and obese, respectively. Of 1,973 854 (47.6%) patients also had hypertension. Logistic regression analyses showed that elderly patients (adjusted odds ratio [AOR] = 1.03, 95%; confidence interval [CI] = 1.02‒1.04), males (AOR = 2.96, 95%; CI = 2.15‒4.07), employed patients (AOR = 1.92, 95%; CI = 1.38‒2.70), obese patients (AOR = 1.59, 95%; CI = 1.21‒2.08), and patients with diabetic foot (DF) (AOR = 2.45, 95%; CI = 1.72‒3.47) were at higher risk for hypertension. Conversely, patients with Type 2 DM (T2DM) (AOR = 0.63, 95%; CI = 0.50‒0.80) were at lower risk for hypertension. There was no significant association between overweight, uncontrolled DM, and hypertension.
This study showed a high prevalence of hypertension among patients with DM. Notably, older age, male gender, employment, duration of DM, DF, underweight, and obesity were significant predictors of hypertension among patients with DM.
Hypertension and diabetes mellitus (DM), which are both non-communicable diseases (NCDs), are global public health concerns . NCDs are described as the invisible epidemic, with mortality that exceeds that of maternal, perinatal, and communicable diseases . Hypertension globally and in Sub-Saharan Africa is expected to increase to 1.5 billion and 125.5 million, respectively, by 2025 . Africa shows the higher prevalence of hypertension 33.3% in Northern Africa and (27%) in sub-Saharan Africa . Likewise, the Middle East and North Africa have the highest world-age standardized diabetes prevalence (12.2%) . Hypertension is a leading modifiable risk factor for premature death and disability worldwide . The co-existence of hypertension and DM has been documented in previous studies [5,6,7,8]. The co-existence of hypertension and DM is associated a four-fold increase in mortality . They are independent risk factors for micro-vascular diseases such as retinopathy, nephropathy and neuropathy . Besides macrovascular complications that include coronary artery disease, myocardial infarction, stroke, congestive heart failure, and peripheral vascular disease . Although, there is a difference in their pathophysiology, they show similar predisposing factors, such as heavy alcohol consumption, physical inactivity , obesity, genetic factors, and age ≥ 50 years . Studies from Africa have shown a high prevalence of and complications related to hypertension in younger males (35–55 years), older females, the obese, and city dwellers with an unhealthy lifestyle [13, 14]. It has also been shown that unemployed status, male sex, aging, and nutritional transitions were determinants of hypertension in patients with DM . High prevalence of hypertension (~ 25%) [16,17,18] and DM (20.8%)  has been reported in different parts of Sudan. Previous studies have shown different rates of hypertension among patients with DM in different African settings [10, 20, 21].
Few studies have addressed hypertension among patients with DM in Sudan ; hence, we conducted this study to assess the prevalence and associated factors of hypertension among adult patients with DM in northern Sudan.
Materials and methods
Nahr an Nīl (Nile River) State, one of 18 states in Sudan, is located in the north. It has seven localities, including Atbara, Berber, Ad Damar, Abu-Hamad, Shendi, El Matamah, and El Buhaira, an area of 122,123 km2 (47,152 mi2), and an estimated population of 1,511,442 citizens. The population includes Sudanese tribes who live beside the banks of the Nile River and practice agricultural and pastoral activities.
A cross-sectional study was conducted in Nahr an Nil State in five localities. Patients with DM (T1DM and T2DM) which was defined according to diagnostic criteria of international diabetes federation; fasting plasma glucose > 7 mmol/l, two-hour plasma glucose > 11.1 mmol/l, HBA1C > 6.5% and random plasma glucose > 11.1 mmol/l in the presence of symptoms of hyperglycaemia . After signing an informed consent form, all adult (aged ≥ 18 years) Sudanese residents of Nahr an Nil State (including both men and women) with DM were enrolled. Participants aged younger than 18 years, pregnant women, patients with poor cognitive function, and severely ill patients were excluded.
Data were gathered through a questionnaire that we developed for this study (Additional file 1). An OMRON 3 (with an appropriate size cuff) automated blood measuring device was used to measure blood pressure (BP), which was measured twice for each patient after resting for at least 10 min. The mean of the two (at an interval of 1–2 min) BP readings were calculated and recorded. If the difference between the two readings was > 5 mmHg, new measurements were taken until a stable reading was reached. The patient’s arm was maintained at the level of the heart.
Body mass index (BMI) was computed from the patient’s weight and height and categorized according to the World Health Organization classification as either underweight (< 18.5 kg/m2), normal weight (18.5–24.9 kg/m2), overweight (25.0–29.9 (kg/m2), or obese (≥ 30.0 kg/m2) .
The sample size of 1973 patients was calculated based on the previous prevalence (25%) of hypertension in Sudan [17, 18, 25]. Of the patients with DM who had hypertension (ratio of 1:4), 40% were obese. Additionally, 32.0% of the patients who did not have hypertension were obese. This sample (1973 patients) was calculated to detect a difference of 5% at α = 0.05 with a power of 80%. It was assumed that 10% of the patients might not respond or might have incomplete data. This study protocol followed STROBE guideline and its checklist is provided as (Additional file 2).
Hypertension was defined as sustained high BP (systolic BP ≥ 140 or diastolic BP ≥ 90 mmHg) or reported regular use of antihypertensive medication . Uncontrolled BP was defined as a systolic BP of ≥ 140 mmHg and/or a diastolic BP of ≥ 90 mmHg . Controlled BP was defined as a systolic BP of < 140 mmHg and/or a diastolic BP of < 90 mmHg. A fasting blood glucose (FBG) level above 125 mg/dl was considered uncontrolled.
SPSS for Windows (version 22.0) was used to analyze the data. The chi-square test was used to compare the proportions between patients with DM who had hypertension and patients with DM who did not have hypertension. Continuous data were checked for normality using the Shapiro–Wilk test. A t-test and the Mann–Whitney test were used to compare the normally distributed and non-normally distributed data, respectively, between the two groups (hypertensive and non-hypertensive). Logistic regression analyses were performed by entering the dependent (hypertension) and independent variables (age, sex, location, BMI, duration of DM, and types of DM). The independent variables with a univariate P value < 0.20 were entered into the model. AORs and 95% CIs were calculated, with P < 0.05 considered statistically significant. Backward likelihood ratio adjustments were then used in the different models.
The median (interquartile) age of the 1973 enrolled patients was 58.0 (50.0‒65.0) years, and 818 (45.6%) were males. The median (interquartile) duration of diabetes was 5.0 (3.0‒9.0) years. The majority of the enrolled patients had their age ≥ 45 years. Of the 1973 enrolled participants, normal weight, underweight, overweight, and obese, were 21.7%, 1.3%, 37.1%, and 39.9% respectively (Table 1).
Of the 1,973 enrolled DM patients, 854 (47.6%) also had hypertension. The median (interquartile) age was significantly higher in diabetic patients with hypertension compared with diabetic patients without hypertension (60.0 [51‒67.0] years vs. 57.0 [50‒64.0], respectively, P < 0.001]). There was no significant difference in the disease duration (5 years [4.0‒8.0] vs. 6 years [3.0‒10.0], respectively, [P = 0.552]) or in the location. Compared with patients without hypertension, a significantly higher number of hypertensive patients were in the age group of ≥ 45 years, male, employed, obese, had diabetic foot (DF), and had uncontrolled DM (Table 2).
Logistic regression analyses showed that older patients (AOR = 1.03, 95%; CI = 1.02‒1.04), males (AOR = 2.96, 95%; CI = 2.15‒4.07), employed patients (AOR = 1.92, 95%; CI = 1.38‒2.70), obese patients (AOR = 1.59, 95%; CI = 1.21‒2.08), and patients with DF (AOR = 2.45, 95%; CI = 1.72‒3.47) were at higher risk for hypertension. By contrast, patients with Type 2 DM (T2DM) (AOR = 0.63, 95%; CI = 0.50‒0.80) were at lower risk for hypertension compared to type1 DM. There was no significant association between overweight, uncontrolled DM, and hypertension (Table 3).
The prevalence of hypertension among patients with DM in this study was 45.6%. A similar prevalence (47.7%) of hypertension in patients with DM was reported in Khartoum, the capital of Sudan . The prevalence of hypertension among patients with DM in our study (45.6%) was slightly lower than among DM patients in Nigeria (54.2%)  and Ethiopia (59.5%) , and it was much lower than among DM patients in Cameroon (86.2%) . The association of hypertension and DM could be explained by hyperglycemia, insulin resistance, and dyslipidemia, which promote the atherosclerosis process . This process can lead to narrowing of blood vessels and increased peripheral arterial resistance, which represent the hallmark of hypertension . Moreover, insulin resistance could be associated with inappropriate activation of the renin–angiotensin–aldosterone system .
In this study, older patients with DM were at a 1.03 times higher risk for developing hypertension than younger patients. Several previous studies (e.g., in the capital of Sudan , Ethiopia , South Africa , and the Kingdom of Saudi Arabia [KSA])  have reported that older patients with DM were at a higher risk for hypertension than patients without DM. Vascular remodeling, endothelial dysfunction, and vascular stiffness, which are common features in hypertension, are increased by aging . Moreover, aging induces macrocirculatory changes that promote tissue hypoxia, reduce arteriolar and capillary density, and increase peripheral vascular resistance .
In the current study, employed patients had an increased risk for hypertension compared to non-employed participants, which is consistent with similar results from previous studies [34, 35]. Occupational noise, related to work environment was specifically found to increase the risk of developing hypertension . Moreover, employment is associated with better educational achievement and greater access to healthcare . Conversely, one study reported unemployed status as a potential risk for hypertension in South Africa .
The current study showed that males had a 2.96 times higher risk to have hypertension than females, which aligned with the results of previous studies [15, 31, 37]. Gender differences may be explained by sex hormones, sex-specific molecular mechanisms, and gender influences that affect both glucose and lipid metabolisms . Moreover, the risk factors of carotid intima-media thickness, carotid plaque score, and pulse wave velocity differ in men and women and reflect useful atherosclerotic parameters and high BP .
Our study showed a significant association between hypertension and T2DM than those with T1DM. This was in accordance with the outcome obtained from previous studies [20, 40, 41]. The coexistence of T2DM and hypertension predicts poor control of hypertension . Moreover, genetically instrumented T2DM was associated with the risk of hypertension .
The current study found obesity was a significant risk for developing hypertension than those with normal or overweight subjects, which supported similar findings of study conducted in Khartoum  and in the KSA . Obesity is not only linked to the risk of hypertension, but it can also predict uncontrolled hypertension . DM, hypertension, obesity (Additional file 2), and metabolic syndrome are modulQ3ated by genetics and epigenetics factors and influenced by lifestyle . Moreover, metabolic syndrome is also associated with novel, significant, and additional pathways through which red blood cells participate in oxidative stress-dependent mechanisms to potentiate metabolic syndrome-associated vascular complications . One recent study pointed to an inverse association of a mitochondrial DNA copy number with a higher risk for metabolic syndrome .
The limitations of this study include that some risk factors were not addressed, such as smoking, alcohol consumption, physical activity, diet behavior, and lipid profile and other chronic illnesses such as chronic kidney disease, sleep apnea and bronchial asthma.
Our study documented a higher prevalence of hypertension among patients with DM in Nahr an Nil State in northern Sudan. The risk of developing hypertension was significantly associated with older age, male gender, employment, T2DM, duration of DM, presence of DF, and obesity.
Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Adjusted odds ratio
Body mass index
World Health Organization
Kingdom of Saudi Arabia
Mudie K, Mei Jin Tan M, Kendall L, Addo J, dos-Santos-Silva I, Quint J, et al. Non-communicable diseases in sub-saharan Africa: a scoping review of large cohort studies. J Glob Health. 2019. https://doi.org/10.7189/jogh.09.020409.
Ogah OS, Rayner BL. Recent advances in hypertension in sub-Saharan Africa. Heart. 2013;99:1390–7. https://doi.org/10.1136/heartjnl-2012-303227.
Adeloye D, Basquill C. Estimating the prevalence and awareness rates of hypertension in africa: a systematic analysis. PLoS ONE. 2014;9:e104300. https://doi.org/10.1371/journal.pone.0104300.
Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract. 2019;157: 107843.
Mogre V, Abedandi R, Salifu ZS. Prevalence of obesity and systemic hypertension among diabetes mellitus patients attending an out-patient diabetes clinic in a Ghanaian Teaching Hospital. Diabetes Metab Syndr Clin Res Rev. 2014;8:67–71. https://doi.org/10.1016/j.dsx.2014.04.036.
Tatsumi Y, Ohkubo T. Hypertension with diabetes mellitus: significance from an epidemiological perspective for Japanese. Hypertens Res. 2017;40:795–806. https://doi.org/10.1038/hr.2017.67.
Chahoud J, Mrad J, Semaan A, Asmar R. Prevalence of diabetes mellitus among patients with essential arterial hypertension. J Med Liban. 2015;63:74–80. https://doi.org/10.12816/0012554.
Tesfaye B, Alebel A, Gebrie A, Zegeye A, Tesema Leshargie C, Ferede A, et al. Diabetes mellitus and its association with hypertension in ethiopia: a systematic review and meta-analysis. Diabetes Res Clin Pract. 2019. https://doi.org/10.1016/j.diabres.2019.107838.
Chen G, McAlister FA, Walker RL, Hemmelgarn BR, Campbell NRC. Cardiovascular outcomes in framingham participants with diabetes: The importance of blood pressure. Hypertension. 2011;57:891–7. https://doi.org/10.1161/HYPERTENSIONAHA.110.162446.
Unadike BC, Eregie A, Ohwovoriole AE. Prevalence of hypertension amongst persons with diabetes mellitus in Benin City Nigeria. Niger J Clin Pract. 2011;14:300–2. https://doi.org/10.4103/1119-3077.86772.
Petrie JR, Guzik TJ, Touyz RM. Diabetes, Hypertension, and Cardiovascular Disease: Clinical Insights and Vascular Mechanisms. Can J Cardiol. 2018;34:575–84. https://doi.org/10.1016/j.cjca.2017.12.005.
Abdissa D, Kene K. <p>Prevalence and Determinants of Hypertension Among Diabetic Patients in Jimma University Medical Center, Southwest Ethiopia, 2019</p>. Diabetes, Metab Syndr Obes Targets Ther. 2020;13:2317–25. https://doi.org/10.2147/DMSO.S255695.
Ajayi IO, Soyannwo MAO, Asinobi AO, Afolabi NB, Ayede AI, Bamgboye EA. Blood pressure pattern and hypertension related risk factors in an urban community in Southwest Nigeria: The Mokola hypertension initiative project, Ibadan. Nigeria J Public Heal Epidemiol. 2017;9:51–64. https://doi.org/10.5897/jphe2017.0908.
Mufunda J, Chatora R, Ndambakuwa Y, Nyarango P, Chifamba J, Kosia A, et al. Prevalence of noncommunicable diseases in Zimbabwe: Results from analysis of data from the National Central Registry and urban survey. Ethnicity and Disease. 2006;16:718–22. http://apt.allenpress.com/aptonline/?request=get-document&issn=1049-510X&volume=016&issue=03&page=0718. Accessed 28 Jan 2021.
Adeniyi OV, Yogeswaran P, Longo-Mbenza B, Ter GD. Uncontrolled Hypertension and Its Determinants in Patients with Concomitant Type 2 Diabetes Mellitus (T2DM) in Rural South Africa. PLoS ONE. 2016;11:e0150033. https://doi.org/10.1371/journal.pone.0150033.
Elmadhoun WM, Noor SK, Ibrahim AAA, Bushara SO, Ahmed MH. Prevalence of diabetes mellitus and its risk factors in urban communities of north Sudan: Population-based study. J Diabetes. 2016;8:839–46. https://doi.org/10.1111/1753-0407.12364.
Bushara SO, Noor SK, Elmadhoun WM, Sulaiman AA, Ahmed MH. Undiagnosed hypertension in a rural community in Sudan and association with some features of the metabolic syndrome: How serious is the situation? Ren Fail. 2015;37:1022–6. https://doi.org/10.3109/0886022X.2015.1052951.
Omar SM, Musa IR, Osman OE, Adam I. Prevalence and associated factors of hypertension among adults in Gadarif in eastern Sudan: A community-based study. BMC Public Health. 2020;20. doi:https://doi.org/10.1186/s12889-020-8386-5.
Omar SM, Musa IR, ElSouli A, Adam I. Prevalence, risk factors, and glycaemic control of type 2 diabetes mellitus in eastern Sudan: a community-based study. Ther Adv Endocrinol Metab. 2019. https://doi.org/10.1177/2042018819860071.
Akalu Y, Belsti Y. Hypertension and its associated factors among type 2 diabetes mellitus patients at Debre Tabor general hospital, northwest Ethiopia. Diabetes, Metab Syndr Obes Targets Ther. 2020;13:1621–31. https://doi.org/10.2147/DMSO.S254537.
Kemche B, Saha Foudjo BU, Fokou E. Risk Factors of Hypertension among Diabetic Patients from Yaoundé Central Hospital and Etoug-Ebe Baptist Health Centre, Cameroon. J Diabetes Res. 2020;. Doi: https://doi.org/10.1155/2020/1853516
Almobarak AO, Badi S, Siddiq SB, Noor SM, Elmadhoun WM, Suliman M, et al. The prevalence and risk factors for systemic hypertension among Sudanese patients with diabetes mellitus: A survey in diabetes healthcare facility. Diabetes Metab Syndr Clin Res Rev. 2020;14:1607–11. https://doi.org/10.1016/j.dsx.2020.08.010.
IDF Diabetes Atlas 9th edition 2019. https://www.diabetesatlas.org/en/. Accessed 15 Mar 2021.
World Health Organization. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. 2000.
Bushara S, Noor S, Ibraheem AA, Elmadhoun W, Ahmed M. Prevalence of and risk factors for hypertension among urban communities of North Sudan: Detecting a silent killer. J Fam Med Prim Care. 2016;5:605. https://doi.org/10.4103/2249-4863.197317.
van de Vijver S, Akinyi H, Oti S, Olajide A, Agyemang C, Aboderin I, et al. Status report on hypertension in Africa–consultative review for the 6th Session of the African Union Conference of Ministers of Health on NCD’s. Pan Afr Med J. 2013;16:38. https://doi.org/10.11604/pamj.2013.16.38.3100.
Muxfeldt ES, Nogueira A da R, Salles GF, Bloch KV. Demographic and clinical characteristics of hypertensive patients in the internal medicine outpatient clinic of a university hospital in Rio de Janeiro. Sao Paulo Med J. 2004;122:87–93. doi:/S1516–31802004000300003.
Thiruvoipati T. Peripheral artery disease in patients with diabetes: Epidemiology, mechanisms, and outcomes. World J Diabetes. 2015;6:961. https://doi.org/10.4239/wjd.v6.i7.961.
Zhou MS, Wang A, Yu H. Link between insulin resistance and hypertension: What is the evidence from evolutionary biology? Diabetol Metab Syndr. 2014. https://doi.org/10.1186/1758-5996-6-12.
Grillo A, Salvi L, Coruzzi P, Salvi P, Parati G. Sodium intake and hypertension. Nutrients. 2019;11. doi:https://doi.org/10.3390/nu11091970.
Almalki ZS, Albassam AA, Alhejji NS, Alotaibi BS, Al-Oqayli LA, Ahmed NJ. Prevalence, risk factors, and management of uncontrolled hypertension among patients with diabetes: A hospital-based cross-sectional study. Prim Care Diabetes. 2020;14:610–5. https://doi.org/10.1016/j.pcd.2020.02.004.
Rizzoni D, Rizzoni M, Nardin M, Chiarini G, Agabiti-Rosei C, Aggiusti C, et al. Vascular Aging and Disease of the Small Vessels. High Blood Pressure and Cardiovascular Prevention. 2019;26:183–9. https://doi.org/10.1007/s40292-019-00320-w.
de Moraes R, Tibirica E. Early Functional and Structural Microvascular Changes in Hypertension Related to Aging. Curr Hypertens Rev. 2017. https://doi.org/10.2174/1573402113666170413095508.
Herath Bandara SJ, Brown C. An analysis of adult obesity and hypertension in appalachia. Glob J Health Sci. 2013;5:127–38. https://doi.org/10.5539/gjhs.v5n3p127.
Maksimova ZV, Maksimov DM. Hypertension in working age population: Influence of gender and education’. Kardiologiya. 2020;60:24–32. https://doi.org/10.18087/cardio.2020.2.n441.
Bolm-Audorff U, Hegewald J, Pretzsch A, Freiberg A, Nienhaus A, Seidler A. Occupational noise and hypertension risk: A systematic review and meta-analysis. Int J Environ Res Public Health. 2020;17:1–24. https://doi.org/10.3390/ijerph17176281.
Rai RK, Kumar C, Singh PK, Singh L, Barik A, Chowdhury A. Incidence of Prehypertension and Hypertension in Rural India, 2012–2018: A Sex-Stratified Population-Based Prospective Cohort Study. Am J Hypertens. 2020;33:552–62. https://doi.org/10.1093/ajh/hpaa034.
Gerdts E, Regitz-Zagrosek V. Sex differences in cardiometabolic disorders. Nat Med. 2019;25:1657–66. https://doi.org/10.1038/s41591-019-0643-8.
Ojima S, Kubozono T, Kawasoe S, Kawabata T, Miyahara H, Tokushige K, et al. Gender differences in the risk factors associated with atherosclerosis by carotid intima-media thickness, plaque score, and pulse wave velocity. Heart Vessels. 2021. https://doi.org/10.1007/s00380-021-01775-5.
Iglay K, Hannachi H, Howie PJ, Xu J, Li X, Engel SS, et al. Prevalence and co-prevalence of comorbidities among patients with type 2 diabetes mellitus. Curr Med Res Opin. 2016;32:1243–52. https://doi.org/10.1185/03007995.2016.1168291.
Mata-Cases M, Franch-Nadal J, Real J, Cedenilla M, Mauricio D. Prevalence and coprevalence of chronic comorbid conditions in patients with type 2 diabetes in Catalonia: a population-based cross-sectional study. BMJ Open. 2019. https://doi.org/10.1136/bmjopen-2019-031281.
Sun D, Zhou T, Heianza Y, Li X, Fan M, Fonseca VA, et al. Type 2 diabetes and hypertension: a study on bidirectional causality. Circ Res. 2019;124:930–7. https://doi.org/10.1161/CIRCRESAHA.118.314487.
Sakboonyarat B, Rangsin R, Kantiwong A, Mungthin M. Prevalence and associated factors of uncontrolled hypertension among hypertensive patients: a nation-wide survey in Thailand. BMC Res Notes. 2019. https://doi.org/10.1186/s13104-019-4417-7.
Nilsson PM, Tuomilehto J, Rydén L. The metabolic syndrome – What is it and how should it be managed? Eur J Prev Cardiol. 2019;26:33–46. https://doi.org/10.1177/2047487319886404.
Restivo I, Attanzio A, Tesoriere L, Allegra M. Suicidal erythrocyte death in metabolic syndrome. Antioxidants. 2021;10:1–13. https://doi.org/10.3390/antiox10020154.
Fazzini F, Lamina C, Raftopoulou A, Koller A, Fuchsberger C, Pattaro C, et al. Association of mitochondrial DNA copy number with metabolic syndrome and type 2 diabetes in 14,176 individuals. J Intern Med. 2021. https://doi.org/10.1111/joim.13242.
The authors would like to thank all the patients who participated in this study.
Ethics approval and consent to participate
Ethics approval for this study was obtained from, El Sheikh Abdullah Elbadry University (2018/1). All methods were performed in accordance with Declaration of Helsinki. In formed consent was obtained from all participants.
Consent for publication
The authors have nothing to declare.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Abdelbagi, O., Musa, I.R., Musa, S.M. et al. Prevalence and associated factors of hypertension among adults with diabetes mellitus in northern Sudan: a cross-sectional study. BMC Cardiovasc Disord 21, 168 (2021). https://doi.org/10.1186/s12872-021-01983-x
- Diabetes mellitus
- Risk factors