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Double Burden: Hypertension Prevalence and Predictors among
Diabetes Patients Receiving Care at the University of Port Harcourt
Teaching Hospital
Jecinta, Ekoji
1*
, Inumanye, Ojule
1
; Meredith, Chiwenkpe Asuru
2
1
Department of Community Medicine, University of Port Harcourt Teaching Hospital
2
Department of Epidemiology, University of Port Harcourt School of Public Health
DOI: https://dx.doi.org/10.51244/IJRSI.2025.1215PH000186
Received: 12 October 2024; Accepted: 20 October 2024; Published: 14 November 2025
ABSTRACT
Diabetes mellitus (DM) is a chronic debilitating disease associated with the development of several
comorbidities like hypertension. Among diabetics, it is documented that hypertension is a leading cause of
CVD-attributable mortality. It is in light of this and other negativespoor quality of life, financial strain, et
cetera, associated with a double burden of hypertension and diabetes that the study ascertained the prevalence
and predictors of hypertension among diabetes patients. An institutional-based descriptive cross-sectional
design was employed to systematically sample 265 diabetic patients at the University of Port Harcourt
Teaching Hospital. Data was analysed using IBM SPSS Version 25. A chi-square/Fischers exact and
multivariate logistic regression analysis were conducted to ascertain association and determine independent
predictors respectively with a p-value 0.05 recorded as statistical significance. The mean age of respondents
was 60.17±10.13 with 54.0% being female. Among the patients, 50.6% had hypertension. A multivariate
logistic regression analysis revealed that hypertension risk was higher for diabetes patients who had a family
history of diabetes (AOR = 0.34; p = 0.046), were overweight (AOR = 0.45; p = 0.045), or obese (AOR =
0.18; p < 0.001), were past smokers (AOR = 0.11; p = 0.003), earned > ₦50,000 (AOR = 0.25; p = 0.002), or
experienced moderate stress (AOR = 0.34; p = 0.046). It is evident that the prevalence of hypertension among
diabetes patients at was high and predicted by several factors including smoking, stress, and high body mass
index. It is thus important that interventions and clinical recommendations target these factors for better
treatment outcomes.
Keywords: Diabetes mellitus, hypertension, comorbidity, prevalence, predictors
INTRODUCTION
Diabetes mellitus (DM) is a chronic debilitating disease characterized primarily by the body’s inability to
produce or utilize insulin necessary for the regulation of blood glucose level (Kumar et al., 2020; World Health
Organization, 2024). According to the World Health Organization, in 2022, an estimated 830 million people
were living with diabetes mellitus worldwide. In Africa, a 2019 report ranked Nigeria as the second nation
with the highest number of people (2.7 million adults aged 20 -79 years) living with diabetes (International
Diabetes Federation, 2021) and thus at a high risk of early morbidity and mortality due to predisposition to
other diseases, especially cardiovascular diseases (CVD) diseases like hypertension (Akalu & Belsti, 2020). It
is well-documented that hypertension is a leading CVD-attributable cause of morbidity and mortality among
diabetes patients (Akalu & Belsti, 2020).
The American Diabetes Association, defined hypertension among diabetes patients as blood pressure (BP)
140/90 mmHg, and a target BP goal of < 130/80 mmHg is reasonable (de Boer et al., 2017). Despite
interventions, hypertension among diabetes patients is common in clinical practice and is said to be twice as
prevalent in diabetics than in non-diabetics with patients first presenting with one condition followed by the
later discovery of another, though they may be diagnosed simultaneously (DanJumbo et al., 2019; Unadike et
al., 2011). The comorbidity of diabetes mellitus and hypertension is increasing globally (Nouh et al., 2017).
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The literature shows a hypertension prevalence of 29.2% - 78.9% among diabetes patients with the higher
prevalences occurring in low-middle income countries (Akalu & Belsti, 2020; DanJumbo et al., 2019; Nouh
et al., 2017; Unadike et al., 2011). A mix of both chronic diseases increases the risk of mortality by 7.2 times
with a higher risk of death in developing countries, as hypertension contributes to the development and
progression of micro vascular (retinopathy, nephropathy, and neuropathy) and macro vascular (atherosclerotic)
complications of diabetes (Akalu & Belsti, 2020; Vargas-Uricoechea & Cáceres-Acosta, 2018).
For individuals, the double burden of diabetes and hypertension is likely to impact their health-related quality
of life in all aspects (Aschalew et al., 2020; Snarska et al., 2020). Psychological, emotional, and social issues
are likely more pronounced in patients with diabetes and hypertension, thus limiting their functionality and
impacting their overall well-being. The high morbidity and mortality associated with comorbid diabetes and
hypertension (Akalu & Belsti, 2020) reduces workforce capacity, thus negatively impact the economy of
nations and overall health system.
The study ascertained the prevalence and predictors of hypertension among diabetes patients receiving care at
the University of Port Harcourt Teaching Hospital, so as to better triage, care and control hypertension among
diabetic.
METHODS
Study Area
The study was conducted in the University of Port Harcourt Teaching Hospital (UPTH)a 500-bed tertiary
health facility located in Rivers State, Nigeria. The facility attends to over 200,000 patients per annum with
approximately 300 diabetes patients cared for in the facility on a monthly basis.
Study Design
An institutional-based descriptive cross-sectional study design was used to ascertain the prevalence and
predictors of hypertension among diabetic patients receiving treatment at the University of Port Harcourt
Teaching Hospital
Study Population
The study comprised of diabetes mellitus patients age 35 years who have received care for at least one year
at the University of Port Harcourt Teaching Hospital
Sample Size
The Fischers formula (Charan & Biswas, 2013) (

󰇛󰇜
) for cross-sectional studies was used to
estimate the sample size. Notably, n = minimum sample size; z = standard normal variate at 95% confidence
interval which is equivalent to 1.96; p = 0.789 (proportion of diabetic patients with hypertension as recorded in
a prior study(DanJumbo et al., 2019)); 1-p = 0.211; d = level of precision set at 0.05. Therefore,



which when approximated equals 256. Assuming a 10% non-response rate, the minimum
sample size = 281 patients
Sampling Procedures
A systematic random sampling technique was employed to select study participants. Since endocrine clinics
held every Wednesday, 25 patients were systematically sampled from the number of patients scheduled for the
week. After calculation of the weekly nth term, 


 the first participant
was selected randomly by balloting from the list of diabetic patients. Subsequently participants were recruited
by addition of the nth term.
INTERNATIONAL JOURNAL OF RESEARCH AND SCIENTIFIC INNOVATION (IJRSI)
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Data Collection Procedures
Data collection was carried out by the researchers and two research assistants trained for three days on study
aims, questionnaire administration, and patients’ privacy and confidentiality. Only consenting patients were
asked questions contained in the study questionnaire and had their heights and weights measured. Weight,
height, and blood pressure measurement was taken by nursing staff on duty.
Study Instruments
An interviewer administered questionnaire consisting of two sections vis-à-vis sociodemographic profile and
risk factors was utilized in collecting data from patients. The questionnaire was workshopped among experts in
the field for face and content validity. Also, questionnaire was administered to a few diabetes patients at the
Rivers State University Teaching Hospital to ensure questions were comprehendible. To ensure reliability, key
segments of the questionnaire like the stress segment was adopted from the ISMA stress measuring scale
which is both reliable and valid for measuring stress.
Data analysis
Data collected using a structured interviewer administered questionnaire were entered into IBM (SPSS)
version 25, coded, and analysed. The data was described using mean and standard deviation for continuous
data, and frequency and percentage for categorical data. To ascertain the association between dependent and
independent variables, a chi-square test/Fishers exact test was employed. Univariate and multivariate logistic
regression analysis was employed to determine the predictors of hypertension among diabetic patients. A p-
value of ≤ 0.05 was reported as statistically significant.
RESULTS
A total of 265 patients were reached out of the estimated 282 giving a response rate of 93.9%
Profile of patients
As shown in Table 1, the mean age of diabetes patients receiving care at UPTH was 60.17±10.13 with 36.6%
of them aged between 57 67. Also highlighted is that 130 (49.1%) had tertiary education, 195 (73.6%) were
married, 143 (54.0%) were women, 110 (45.1%) earned above ₦50,000, and 51.4% of them were of the Igbo
ethnicity.
Table 1: Demographic characteristics of diabetes patients receiving care at UPTH
VARIABLES
Frequency N=265
Percent (%)
AGE
35 45
24
9.1
46 56
76
28.6
57 67
97
36.6
68 and above
68
25.7
Mean ± SD
EDUCATION
No Formal
19
7.2
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Primary
44
16.6
Secondary
72
27.2
Tertiary
130
49.1
GENDER
Male
122
46.0
Female
143
54.0
MARITAL STATUS
Single
16
6.0
Married
195
73.6
Widowed
54
20.4
MONTHLY INCOME
≤ ₦10,000
42
15.8
₦10,001 - ₦20,000
21
7.9
₦20,001 - ₦30,000
42
15.8
₦30,001 - ₦40,000
35
13.2
₦40,001 - ₦50,000
15
5.7
≥ ₦50,0001
110
41.5
GEOPOLITICAL ZONE
South-South
125
47.2
South-East
105
39.6
South-West
20
7.5
North Central
15
5.7
ETHNICITY
Ijaw
31
11.7
Ikwerre
56
21.1
Igbo
136
51.4
Others
42
15.8
Prevalence of Hypertension among Diabetes Patients
Figure 1 shows that 134 (50.6%) of diabetes patients receiving care at the University of Port Harcourt
Teaching Hospital were comorbid for hypertension
INTERNATIONAL JOURNAL OF RESEARCH AND SCIENTIFIC INNOVATION (IJRSI)
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Figure 1: prevalence of hypertension among diabetes patients receiving care at UPTH
Socio-demographic factors associated with blood pressure status
As shown in Table 2, a chi-square test for the association revealed that blood pressure status among diabetes
patients was associated with educational level
2
= 11.583; p = 0.009) of diabetic patients and their monthly
income status (χ
2
= 17.683; p = 0.003) were statistically significantly associated with their hypertension status.
Table 2: Chi-square analysis of socio-demographic factors associated with blood pressure status
BP STATUS
Hypertensive
Normotensive
χ
2
p-value
AGE
35 45
14 (58.3)
10 (41.7)
2.784
0.426
46 56
33 (43.4)
43 (56.6)
57 67
53 (54.6)
44 (45.4)
≥ 68
34 (50.0)
34 (50.0)
EDUCATION
No Formal
8 (42.1)
11 (57.9)
11.583
0.009*
Primary
13 (29.5)
31 (70.5)
Secondary
37 (51.4)
35 (48.6)
Tertiary
76 (58.5)
54 (41.5)
GENDER
Male
64 (52.5)
58 (47.5)
0.324
0.569
Female
70 (49.0)
73 (51.0)
MARITAL STATUS
50.6%
49.4%
Hypertensive Normotensive
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Single
7 (43.8)
9 (56.3)
1.503
0.472
Married
103 (52.8)
92 (47.2)
Widowed
24 (44.4)
30 (55.6)
MONTHLY INCOME
≤ 10,000
11 (26.2)
31 (73.8)
17.683
0.003*
10,001 - 20,000
14 (66.7)
7 (33.3)
20,001 - 30,000
20 (47.6)
22 (52.4)
40,001 - 50,000
5 (33.3)
10 (66.7)
≥ 50,0001
62 (56.4)
48 (54.4)
GEOPOLITICAL
ZONE
South-South
62 (49.6)
63 (50.4)
1.041
0.791
South-East
56 (53.3)
49 (46.7)
South-West
10 (50.0)
10 (50.0)
North Central
6 (40.0)
9 (60.0)
ETHNICITY
Ijaw
10 (32.3)
21 (67.7)
6.811
0.078
Ikwerre
25 (44.6)
31 (55.4)
Igbo
75 (55.1)
61 (44.9)
Others
24 (57.1)
18 (42.9)
Association between other factors and blood pressure status of diabetes patients
According to a chi-square test for the association, as shown in Table 3, the blood pressure status of diabetic
patients was associated with patients’ family history of hypertension
2
= 3.944; p = 0.047),family history of
diabetes
2
= 10.911; p = 0.001), body mass index
2
= 20.393; p < 0.001), smoking status
2
= 18.373; p <
0.001) and stress level (χ
2
= 26.225; p < 0.001).
Table 3: Chi-square analysis of other factors associated with blood pressure status among diabetes patients
BP STATUS
χ
2
p-value
Hypertensive
Normotensive
FH HYPERTENSION
No
73 (45.6)
87 (54.4)
3.944
0.047*
Yes
61 (58.1)
44 (41.9)
FH DIABETES
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No
72 (42.9)
96 (57.1)
10.911
0.001*
Yes
62 (63.9)
35 (36.1)
BODY MASS INDEX
Normal
39 (35.8)
70 (64.2)
20.393
< 0.001*
Underweight
13 (81.3)
3 (18.8)
Overweight
43 (54.4)
36 (45.6)
Obese
39 (63.9)
22 (36.1)
ALCOHOL USE
Non-drinker
73 (47.1)
82 (52.9)
2.487
0.288
Past drinker
43 (53.1)
38 (46.9)
Current drinker
18 (62.1)
11 (37.9)
SMOKING STATUS
Never Smoked
112 (47.9)
122 (52.1)
18.373
f
< 0.001*
Past Smoker
22 (84.6)
4 (15.4)
Current Smoker
0 (0.0)
5 (100.0)
STRESS LEVEL
Mild Stress
25 (28.4)
63 (71.6)
26.225
< 0.001*
Moderate Stress
92 (62.6)
55 (37.4)
Severe Stress
17 (56.7)
13 (43.3)
FH = family history; BP = Blood pressure; f = Fischers exact; *significant.
Predictors of hypertension among diabetic patients
A multivariate logistic regression as shown in Table 4 shows that diabetics patients were more likely to
develop hypertension if they had a family history of diabetes (AOR [95% CI] = 0.34 [0.12 1.00] p = 0.046),
are overweight (AOR [95% CI] = 0.45 [0.21 0.98] p = 0.045), or obese (AOR [95% CI] = 0.18 [0.07 0.47]
p < 0.001), are past smokers (AOR [95% CI] = 0.11 [0.03 0.47] p = 0.003), earn > ₦50,000 (AOR [95% CI]
= 0.25 [0.77 0.82] p = 0.002), or experience moderate stress (AOR [95% CI] = 0.34 [0.12 1.00] p = 0.046).
However, being underweight reduced the risk (AOR [95% CI] = 0.67 [0.13 1.35] p = 0.001)
Table 4: Logistic regression analysis of predictors of hypertension among diabetes patients
Risk Factors
B
COR (95% CI)
p-value
AOR (95%CI)
p-value
Educational
No Formal
Ref
Primary
0.575
3.36 (1.61 - 7.00)
0.332
1.78 (0.55 - 5.75)
0.928
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Secondary
0.285
1.33 (0.75 - 2.38)
0.046
0.75 (0.33 - 1.72)
0.280
Tertiary
0.218
1.10 (0.26 - 4.01)
0.071
1.24 (0.31 - 5.01)
0.758
Monthly Income
≤ ₦10,000
Ref
₦10,001 – ₦20,000
-0.037
0.64 (0.24 - 1.73)
0.211
1.04 (0.27 - 4.03)
0.731
₦20,001 - ₦30,000
1.089
1.42 (0.70 - 2.90)
0.088
2.97 (0.94 - 9.44)
0.065
₦30,001 - ₦40,000
0.64
0.76 (0.35 - 1.67)
0.476
1.90 (0.63 - 5.72)
0.256
₦40,001 - ₦50,000
1.078
2.58 (0.83 - 8.06)
0.066
2.94 (0.72 - 12.07)
0.135
≥ ₦50,001
-1.383
1.23 (0.54 - 4.88)
0.031*
0.25 (0.77 - 0.82)
0.021*
FH Hypertension
No
Ref
Yes
-0.128
0.061 (0.37 - 0.99)
0.049*
0.88 (0.31 - 2.47)
0.808
FH Diabetes
No
Ref
Yes
1.073
0.42 (0.25 - 0.71)
0.003*
0.34 (0.12 - 1.00)
0.046*
Body Mass Index
Normal
Ref
Underweight
-2.696
0.13 (0.04 - 0.48)
0.001*
0.67 (0.13 - 1.35)
0.001*
Overweight
0.799
0.47 (0.26 - 0.84)
0.003*
0.45 (0.21 - 0.98)
0.045*
Obese
1.708
0.31 (0.16 - 0.60)
0.001*
0.18 (0.07 - 0.47)
< 0.001*
Smoking Status
Never Smoked
Ref
Past Smoker
2.236
0.17 (0.06 - 0.50)
0.003*
0.11 (0.03 - 0.47)
0.003*
Current Smoker
2.123
1.42 (0.96 - 2.12)
0.612
1.81 (0.52 - 2.33)
0.999
Stress Level
Mild
Ref
Moderate
0.868
0.24 (0.13 - 0.42)
0.012*
0.42 (0.19 - 0.95)
0.036*
Severe
-0.434
0.30 (0.13 - 0.72)
0.035*
0.64 (0.20 - 2.14)
0.476
COR = crude odds ratio; AOR = adjusted odds ratio; FH = family history
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DISCUSSION
Owing to the complexity and seemingly common occurrence of hypertension among diabetes patients, the
study ascertained the prevalence and predictors of hypertension among diabetes patients receiving care at the
University of Port Harcourt Teaching Hospital, Rivers State, Nigeria.
Prevalence of hypertension among diabetes patients
As highlighted in the literature, diabetes patients possess a high risk of developing hypertension which
subsequently triggers the development of major causes of death like renal, cardiac and cerebral dysfunctions.
The prevalence of hypertension among diabetes patients is twice higher when compared to the non-diabetic
population (Anizor & Azinge, 2015). In the current study, over half of the study participants had hypertension.
This is in agreement with the reports of studies conducted in Delta state Nigeria where it was reported that
57.4% of diabetes patients suffered from hypertension (Anizor & Azinge, 2015). Though slightly higher than
the 47.6% prevalence rate of a Sudanese study (Abdelbagi et al., 2021), and lower than the prevalence rate of
71.8% documented by Almalki et al. (2020) in their Saudi Arabian study, it is clear that hypertension is a
common comorbidity among the diabetic population. A double burden of hypertension and diabetes limits the
functionality of the sufferers has negative effects on the economy, especially when it involves the working age,
and increases the risk of mortality (Akalu & Belsti, 2020; Aschalew et al., 2020; Snarska et al., 2020). Thus,
checks for hypertension among diabetics should be routine, and incorporate educational materials, as
knowledge has been documented to be a prerequisite to the performance of behaviours that help protect an
individual from developing certain illnesses and diseases.
Predictors of hypertension among diabetes patients
So many factors play an important role in the development of hypertension among diabetic patients. Among
them, are the sociodemographic, environmental, and clinical characteristics of diabetic individuals. According
to the current study, a multivariate analysis showed that those who were past smokers, had a family history of
diabetes, were overweight or obese, and perceived moderate life stress were likelier to develop hypertension.
With regards to smoking, the current report agrees with the reports of Husain et al. (2014) who stated that
smoking either past or present is a driver for the development of hypertension among diabetic patients.
Smoking which is known to induce endothelial dysfunction and early atherogenesis is linked to a variety of
cardiovascular disturbances, and its role in the development of hypertension is not a questionable one (Messner
& Bernhard, 2014). The study further corroborates the findings of the other studies as regards BMI. For
example Anizor & Azinge (2015) noted that overweight and obese status were significant risk factors for the
development of hypertension among diabetics. The primary justification why overweight and obesity are
deterministic of hypertension development among diabetes patients in Nigeria is because the living standard is
poor with over 2/4 of the population leaving below the minimum wealth index (World Bank Group, 2025).
What that posits for the population is that dietary habits are likely to revolve around cheap and common
carbohydrate and fat-rich foods. The current study however showed that those who earned ≥ 50,001 were more
likely to develop hypertension as compared to those who earned 10,000. While this can be attributed to the
possibility of those in the higher income range patronizing petty habits like alcohol consumption that is rigged
with an increased likelihood for hypertension development, it begs the question: does starvation/fasting which
is preeminent among people of low income a protective factor against hypertension among diabetics?
Abdelbagi et al. (2021) also highlighted in their study that diabetes patients who are employed and likely to
fall into the high-wealth category were 1.98 times more likely to be hypertensive in comparison to those who
were unemployed. These factors are not exclusive to any region, and thus demands actions if diabetes patients
must overcome the overwhelming burden of morbidity and mortality.
Strengths And Limitations
The strength of the study lies in its utilization of validated tools and instruments like the ISMA stress scale.
However, due to the use of cross-sectional design which does not account for cause-effect relationships careful
interpretation of factors and determinants is required. Also, subjectively measuring family history, alcohol use
and smokig status is likely to have caused an overestimation or underestimation of the true fact.
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RECOMMENDATIONS/FUTURE DIRECTIONS
Owing to the findings of this research, diabetes patients should follow recommended dietary and behavioural
protocols, and keep to their appointments as first line mechanisms for routine blood pressure checks. Similarly,
government and non-governmental organziations should develop and implement effective, culturally
acceptable health awarenes programs aimed at improving the knowledge base of diabetes patients as regards
the dangers of developing other comorbid conditions. Also they should develop and roll-out poverty alleviation
programs which will not only strengthen and enable diabetic patientsto extinguish distance as a driver for
missed appointments, and improve health services through the establishment of accessible health facilities run
by compassionate staff and fuly funded to offer services when/if required
CONCLUSION
Hypertension has continuously affected the human population, caused harm, and increased the rate of
morbidity and mortality. Worse is its almost effortless combination with diabetes mellitus. This study showed
that the prevalence of hypertension among diabetic patients was high. While this report is troubling, it is a call
for the strengthening of efforts aimed at educating patients, thus enabling them to adopt healthy lifestyles and
compliance with their medication, to avert end-organ complications known to increase morbidity and
mortality.
ACKNOWLEDGEMENTS
We acknowledge all diabetes patients who despite their ill health gave consent and participated in the study.
Also, to the members of the ethics review board who reviewed and granted us the ethical clearance to conduct
the study.
Authors Contribution
Jecinta Ekoji: Conceptualization, article drafting, data collection
Inumanye Ojule: Data collection, and article review and update
Meredith Chiwenkpe Asuru: Data analysis, interpretation, and article review and update
Conflict Of Interest
The researchers declare no conflicting interest
FUNDING
This research was primarily funded by the researchers.
Ethical Considerations
Ethical clearance for the research was gotten from the University of Port Harcourt Research Ethics Committee
(UPH/CEREMAD/REC/MM84/025) and University of Port Harcourt Teaching Hospital Ethics Committee
(UPTH/ADM/90/S.II/VOL.XI/1399). Following the 1964 Declaration of Helsinki and its later amendments,
only consenting patients were interviewed, privacy and confidentiality of patients’ data were ensured by not
collecting personal identifying information and making data available to only researchers. Also, voluntariness
and beneficence to the participants was accounted for.
Data Availability
Not applicable owing to respondents’ consent criterion.
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