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Integrated Blood Pressure Control logoLink to Integrated Blood Pressure Control
. 2018 Apr 23;11:37–46. doi: 10.2147/IBPC.S150628

Blood pressure control status and associated factors among adult hypertensive patients on outpatient follow-up at University of Gondar Referral Hospital, northwest Ethiopia: a retrospective follow-up study

Yaregal Animut 1,, Alemu Takele Assefa 1, Dereseh Gezie Lemma 1
PMCID: PMC5918628  PMID: 29720880

Abstract

Background

Large segments of the hypertensive population in the world are either untreated or inadequately treated. The incidence of heart failure and mortality from cardiovascular complications of hypertension is high among patients with uncontrolled blood pressure (BP). But BP control status of hypertensive patients has not been investigated in the study area. The study aimed to assess BP control status and determinant factors among adult hypertensive patients on antihypertensive medication attending outpatient follow-up at University of Gondar Referral Hospital, northwest Ethiopia.

Methods

An institution-based retrospective follow-up study was conducted from September 2015 to April 2016. Data were collected using a structured and pretested questionnaire adopted from the World Health Organization STEPwise approach. BP records of 6 months were used, and patients were classified as having controlled BP if their BP readings were <140/90 mmHg for all adults ≥18 years of age and <150/90 mmHg for adults aged ≥60 years. A generalized estimating equation was fitted, and the odds ratio with a 95% confidence level was used to determine the effect of covariates on BP control status.

Results

Among 395 participants, 50.4% (95% CI: 45–55) of them controlled their BP in the last 6 months of the survey. Physical activity (adjusted odds ratio [AOR]=1.95, 95% CI: 1.41–2.68), duration on antihypertensive drugs of 2–4 years (AOR=1.70, 95% CI: 1.13–2.56) and 5 years or more (AOR=1.96, 95% CI: 1.32–2.92), and high adherence (AOR=2.18, 95% CI: 1.14–4.15) to antihypertensive drugs were positively associated with BP control, while salt intake (AOR=0.67, 95% CI: 0.49–0.93), overweight (AOR=0.50, 95% CI: 0.36–0.68), and obesity (AOR=0.56, 95% CI: 0.36–0.87) were inversely associated with BP control.

Conclusion

In this study, only half of the hypertensive patients controlled their BP. Thus, health care providers need to be made aware about the importance of counseling hypertensive patients on drug adherence, moderate physical activity, and salt restriction to improve BP control.

Keywords: blood pressure control, associated factors, adults, Gondar

Introduction

Hypertension (HTN) is a condition where systolic blood pressure (SBP) is ≥140 mmHg or diastolic blood pressure (DBP) is ≥90 mmHg.1 HTN disproportionately affects populations in low- and middle-income countries where health systems are weak. As it rarely causes symptoms in the early stages, many people go undiagnosed. Those who are diagnosed may not have access to treatment and may not be able to successfully control their illness over the long-term. Significant health and economic gains are attached to early detection, adequate treatment, and good control of HTN.2

The global prevalence of raised BP in adults aged 18 years and above was around 22% in 2014.3 In Sub-Saharan Africa, an estimated 74.7 million individuals are hypertensive, and by the year 2025, the number of hypertensive individuals is projected to increase by 68% to 125.5 million individuals.4

HTN doubles the risk of cardiovascular diseases, such as coronary heart diseases, congestive heart failure, stroke, renal failure, and peripheral arterial diseases.1 Globally, cardiovascular disease accounts for ~17 million deaths a year, nearly one-third of the total deaths. Of these, complications of HTN account for 9.4 million deaths and 7% of the disease burden worldwide every year. HTN is responsible for at least 45% of the deaths due to heart disease and 51% of deaths due to stroke. There is strong scientific evidence on the health benefits of lowering BP through behavioral and pharmacological interventions.5

The incidence of heart failure and mortality from cardiovascular complications of HTN is high among patients with uncontrolled BP.6 In some age groups, the risk of cardiovascular disease doubles for each increase of 20 mmHg in SBP and 10 mmHg in DBP starting from 115/75 mmHg. Treating SBP and DBP until they are less than 140/90 mmHg is associated with a reduction in cardiovascular complications.7

The control of high BP is critical in managing hypertensive patients. Although antihypertensive therapy clearly reduces the risks of cardiovascular and renal diseases, large segments of the hypertensive people are either untreated or inadequately treated.1 Worldwide, the detection, treatment, and control of HTN are inadequate.3

According to the World Health Organization (WHO), approximately one billion persons are living with uncontrolled HTN worldwide.5 Many studies in different parts of the world show that uncontrolled BP is a common phenomenon among hypertensive patients on treatment.811 Thus, BP was controlled for only less than 50% of the hypertensive patients in Japan,12 31.7% in Turkey,13 and 48.3% in Malaysia.14 Controlling BP is a difficult experience in Africa too; BP control was accomplished for only 47.7% of the hypertensive patients on follow-up in Tanzania,15 35.9% in Uganda,16 32.8% in Zimbabwe,17 33.4% in Kenya,18 and 40.1% in Addis Ababa, Ethiopia.9

Many socioeconomic, behavioral, and clinical factors affect BP control. Thus, BP is less likely to be controlled among unmarried,19 male,20 elderly,18 less educated,14 low-income,17 rural,9 and unemployed17 patients. Smoking,13,17 salt addition habit in meal,9 and alcohol drinking17 are associated with poor BP control, whereas vegetable consumption habit21 and moderate physical activity22,23 are important behaviors to control BP. Having other comorbidities, like diabetes mellitus (DM) or renal diseases,1214 low adherence to anti-hypertensive treatments,9,15,20,24 obesity/overweight,13,15,17 being on multidrug regimen,14,18,20 and lack of information on complications of HTN are also other factors associated with poor BP control.

HTN has become an important chronic noncommunicable disease with increasing trends in developing countries, and uncontrolled BP will result in life-threatening complications. So, knowing the BP control status of hypertensive patients is very important for policy makers and clinicians responsible for designing appropriate strategies for a better management of hypertensive patients. Therefore, this study aimed to assess BP control status and associated factors among adult hypertensive patients on outpatient follow-up at University of Gondar Referral Hospital (UOGRH), northwest Ethiopia, 2016.

Methods

Study setting and design

A 6-month institution-based retrospective follow-up study was conducted from September 2015 to April 2016 at UOGRH Chronic Illness Clinic. UOGRH is a teaching hospital located in Gondar town, North Gondar Administrative Zone, Amhara National Regional State, 727 km from Addis Ababa, the capital of Ethiopia. UOGRH provides service for about more than five million people in North Gondar Zone and the neighboring zones, West Gojjam and south Tigray.

Sample size and sampling procedure

All adult hypertensive patients who were on outpatient follow-up for at least 6 months and had at least one documented BP measurement result were eligible for the study. Then, all 403 patients who came for follow-up during the data collection period were included in the study.

Data collection instrument and procedure

A structured interviewer-administered questionnaire adopted from the WHO STEPwise approach for chronic disease risk factor surveillance25 was used to collect data. The questionnaire was first prepared in English and translated into the local language (Amharic) and finally back to English to maintain consistency. A pretest was conducted on 10% of the sample size out of the study area before the actual data collection. Data collectors and supervisors were trained for 2 days. Two health officer supervisors and three graduate nurses data collectors were recruited for data collection. The process was closely monitored by the principal investigator and supervisors throughout the data collection period. Filled copies were checked daily for completeness of information, and problems were immediately communicated to data collectors.

Assessment of BP control status

BP recordings in the charts of adult hypertensive patients for the last 6 months were reviewed. The last BP was measured by the data collectors using a standard mercury sphygmomanometer BP cuff with the appropriate cuff size that covered two-thirds of the upper arm, while the patient was in a sitting position, had rested for at least 5 minutes, and consumed no cigarettes or caffeine 30 minutes before the measurement. Two consecutive measurements were taken in a minimum interval of 5 minutes, and the mean was recorded. Patients were classified as having controlled BP at each visit with BP readings <140/90 mmHg for all adults ≥18 years old, and <150/90 for adults aged ≥60 years.26 Then, the BP recordings at each visit were used as dependent variable, but the prevalence of controlled BP was determined by the average BP recordings across the 6 months.

Assessment of adherence to antihypertensive treatment

Adherence to antihypertensive drugs was measured by the four-item Morisky–Green–Levine Scale, which measures both deliberate and unintended adherence grounded on forgetfulness, carelessness, stopping medication when feeling better, and stopping medication when feeling worse. The response categories were either “yes” or “no” for each item. On the whole, 0 point was allocated to a “yes” response and 1 point to a “no” response. The total score ranged from 0 (nonadherent) to 4 (adherent). Then patients were categorized as having high (score=4), medium (score=2–3), and low adherence (score ≤1).

Assessment of physical activity and other behavioral factors

Work or sports that involves moderate-intensity activity that causes small increases in breathing or heart rate, such as brisk walking, carrying light loads, cycling, swimming, volley ball, dancing, gardening, and house working for at least 10 minutes continuously per day, was considered as moderate physical activities.

A participant who smoked at least one cigarette per day at the time of the study was considered as smoker. Male patients who drank more than 2 units of alcohol/day and female patients who drank more than 1 unit of alcohol/day were considered as alcohol consumer.

Fruit and vegetable eating habits of patients were assessed and categorized by dividing the number of days they ate per week into three groups: those who ate for less than 1 day/week (none), 1–3 days/week, and 4–7 days/week.

Assessment of wealth index and knowledge

Household wealth index was determined using Principal Component Analysis (PCA) by considering household assets, such as quantity of cereal products, house, livestock, and agricultural land ownership.27 First, variables were coded between 0 and 1; then variables were entered and analyzed using PCA, and those variables with a communality value of greater than 0.5 were used to produce factor scores. Finally, factor scores were summed and ranked into “poor”, “medium”, and “rich” categories. Knowledge about HTN and its complications was assessed using eight-item questions; also, PCA was used to rank patients knowledge into “poor”, “medium”, and “good”.

Body mass index (BMI) and waist circumference (WC) measurements

Weight was measured with participants standing bare foot, wearing light clothing, and was recorded to the nearest 0.1 kg. Height was measured with participants standing upright with the head in Frankfort plane and was recorded to the nearest 0.5 cm. Then, BMI was calculated by dividing weight in kg to height in m2, and patients were categorized into underweight (BMI <18.5), normal (BMI 18.5–24.9), overweight (BMI 25–29.9), and obese (BMI ≥30).28

WC was measured with the subject in a standing position using a nonelastic plastic tape midway between the lower rib margin and the iliac crest to the nearest 1 mm. One layer of clothing was accepted. Based on WC measurements, patients were classified into three health risk categories in accordance with cutoffs recommended by WHO: low risk (men, WC=93.9 cm or less; women, WC=79.9 cm or less); increased risk (men, WC=94.0–101.9 cm; women, WC=80.0–87.9 cm); and high risk (men, WC=102.0 cm or more; women, WC=88.0 cm or more).29

Data processing and analysis

After checking for consistency and completeness, the collected data were entered into EPI-INFO version 3.5.3 and then exported to STATA 12 for analysis. Descriptive and summary statistics were carried out. The generalized estimating equation was fitted with logit link function and binomial family and working correlation structures (independent, exchangeable, unstructured, and autoregressive) were compared for the smallest standard error difference of robust and model-based standard error. Then, the exchangeable correlation structure showed the smallest standard error difference, and was selected for this study to handle the within correlation.

Both crude odds ratio and adjusted odds ratio (AOR) with the corresponding 95% CI were calculated to determine the strength of association between dependent and independent variables. Variables with a p-value ≤0.2 in the bivariable analysis were fitted into the multivariable analysis and variables with a p-value of <0.05 were considered as statistically significant.

Ethical approval and consent to participate

Ethical clearance was obtained from the Institute of Public Health Ethical Review Board, University of Gondar (Ref. No. IPH/2880/2016). Permission letter was obtained from the Hospital’s clinical director and Department of Internal Medicine to conduct the study. Informed verbal consent was obtained from the respondents, and Institute of Public Health Ethical Review Board, University of Gondar, approved the verbal consent process. The right of participants to withdraw from the study at any time was secured. Personal Identifying information was not recorded on the questionnaire, and all information obtained by face-to-face interview as well as from the patients chart was kept confidential.

Results

A total of 403 patients were included in the study of whom 395 responded, a response rate of 98%.

Sociodemographic characteristics of respondents

Of the 395 participants, 244 (61.8%) were females, and the median age of the respondents was 57 years with an IQR of 16 years. Three hundred sixty (91.1%) of the respondents were from Amhara ethnic group and 361 (91.4%) were orthodox Christians. Out of the total respondents, 242 (61.3%) were married, 179 (45.3%) had no formal education, 315 (79.7%) were urban dwellers, and 142 (46%) lay in the rich class wealth index (Table 1).

Table 1.

Sociodemographic characteristics of adult hypertensive patients on outpatient follow-up at UOGRH, Gondar, northwest Ethiopia, 2016 (n=395)

Variables Frequency (n) Percent
Sex
 Male 151 38.2
 Female 244 61.8
Marital status
 Single 18 4.6
 Married 242 61.3
 Divorced 34 8.6
 Widowed 101 25.6
Religion
 Orthodox 361 91.4
 Muslim 32 8.1
 Protestant 2 0.5
Ethnicity
 Amhara 360 91.1
 Kimant 21 5.3
 Tigre 14 3.5
Residence
 Rural 80 20.5
 Urban 315 79.7
Educational status
 No formal education 179 45.3
 Elementary 111 28.1
 Secondary and above 105 26.6
Occupation
 Farmer 33 8.4
 Government employee 57 14.4
 House wife 193 48.9
 Merchant 18 4.6
 Private employment 47 11.9
 Retired 47 11.9
Wealth index
 Poor 132 33.4
 Medium 121 30.6
 Rich 142 46

Abbreviation: UOGRH, University of Gondar Referral Hospital.

Behavioral/lifestyle characteristics of respondents

Out of the 395 participants, only three (0.8%) were current smokers and nine (2.3%) were drinking alcohol at the moment. The majority, 226 (57.2%), of the respondents did not eat fruit and 219 (55.4%) ate vegetables 1–3 days/week. Slightly over half (51.4%) of the participants had moderate physical activity on most days of the week. Two hundred thirty-three (59%) of the respondents were using vegetable oil for their usual meal preparation, and 109 (27.6%) used additional salt in their meals (Table 2).

Table 2.

Behavioral characteristics of adult hypertensive patients on outpatient follow-up at UOGRH, Gondar, northwest Ethiopia, 2016 (n=395)

Variables Blood pressure control status
Chi-square (X2) p-value
Controlled Uncontrolled
Smoking status
 Yes 1 2 0.351 0.553
 No 198 194
Current alcohol consumption
 Yes 2 7 2.921 0.087
 No 197 189
Physical activity
 None 46 91 25.660 <0.001
 1–3 days/week 28 27
 4–7 days/week 125 78
Vegetable eating habit
 None 56 102 23.814 <0.001
 1–3 days/week 131 88
 4–7 days/week 12 6
Fruit eating habit
 None 115 111 4.578 0.101
 1–3 days/week 72 81
 4–7 days/week 12 4
Type of oil used
 Vegetable oil 116 117 0.080 0.777
 Sesame/nug oil 83 79
Salt intake
 Yes 45 64 4.982 0.026
 No 54 132

Abbreviation: UOGRH, University of Gondar Referral Hospital.

Clinical characteristics of respondents

Of the total participants, 187 (47.3%) were in the normal BMI range, followed by 129 (32.7%) in the overweight range, and 52 (13.2%) in the obese range. Seventy-four (18.7%) of the participants had a family history of HTN, while 107 (27.1%) had DM and 81 (20.5%) had other complications (cardiac diseases 8.9%, chronic kidney diseases 7.1%, asthma 4.3%, and others 2.6%). Slightly over half (50.6%) of the respondents were on a single antihypertensive drug, whereas the majority (68.9%) were highly adherent to their treatment, and 180 (45.6%) of the participants were on antihypertensive treatment for 5 and more years (Table 3).

Table 3.

Clinical characteristics of adult hypertensive patients on outpatient follow-up at UOGRH, Gondar, northwest Ethiopia, 2016 (n=395)

Variables Blood pressure control status
Chi-square (X2) p-value
Controlled Uncontrolled
Family history of HTN
 Yes 40 34 0.492 0.483
 No 159 162
Knowledge about HTN
 Good 62 62 0.013 0.993
 Medium 72 70
 Poor 65 64
Diabetes mellitus
 Yes 46 61 3.205 0.073
 No 153 135
Other chronic comorbidities
 Yes 39 42 0.203 0.652
 No 160 154
Body mass index
 Underweight 17 10 8.645 0.034
 Normal 103 84
 Overweight 52 77
 Obese 27 25
Waist circumference
 Low risk 44 66 6.610 0.037
 Increased risk 59 48
 High risk 96 82
Adherence
 Low 4 19 25.381 <0.001
 Medium 36 64
 High 159 113
Number of anti-hypertensives taken
 One 103 97 0.206 0.902
 Two 91 94
 Three 5 5
Duration on anti-hypertensives
 ≤2 years 24 49 11.482 0.003
 2–4 years 74 68
 ≥5 years 101 79

Abbreviations: UOGRH, University of Gondar Referral Hospital; HTN, hypertension.

Proportion of controlled BP

The participants were followed up for an average of 5.8 visits, with a minimum of 3 and a maximum of 6 visits. The mean SBP and DBP readings were 138.38 (±14.06 SD) and 80.73 (±6.26 SD) mmHg, respectively. The overall proportion of controlled BP in the last 6 months was 50.4% (95% CI: 45–55). In the first visit, the BP of 221 (55.9%) patients was uncontrolled, and in the sixth visit, the BP of 51.4% patients was controlled. BP control was relatively low at the first visit, and gradually increased during the consecutive follow-ups (Figure 1).

Figure 1.

Figure 1

Blood pressure control status of hypertensive patients at each visit in UOGRH, 2016.

Abbreviation: UOGRH, University of Gondar Referral Hospital.

Determinant factors of BP control

The generalized estimating equation result showed that moderate physical activity on most days of the week, vegetable consumption habit, duration on antihypertensive treatment, and adherence to antihypertensive drugs were positively associated with controlled BP, whereas salt use and BMI were negatively associated. But factors like age, sex, educational status, wealth index, number of antihypertensive drugs, and presence of comorbidities were not significantly associated with BP control in this study.

Patients who had physical activity on most days of the week were almost two times (AOR=1.95, 95% CI: 1.41–2.68) as likely to have controlled BP compared to patients with no physical activity. Patients who consumed vegetables for 1–3 days/week were two times (AOR=2.24, 95% CI: 1.65–3.06) as likely to have controlled BP compared to patients who did not consume vegetables. Similarly, patients who consumed vegetables for 4–7 days/week were also two times (AOR=2.36, 95% CI: 1.17–4.75) as likely to have controlled BP compared to their counterparts.

The odds of BP control decreased by 33% for hypertensive patients who added salt to their food (AOR=0.67, 95% CI: 0.49–0.93) compared to those who used no salt. At the same time, the odds of BP control decreased by 50% for overweight patients (AOR=0.50, 95% CI: 0.36–0.68) and 44% for obese patients (AOR=0.56, 95% CI: 0.36–0.87) compared to normal or underweight patients.

The odds of BP control were 1.70 times (AOR=1.70, 95% CI: 1.13–2.56) higher for patients who stayed on anti-hypertensive treatment for 2–4 years and 2 times (AOR=1.96, 95% CI: 1.32–2.92) higher for those who stayed for 5 years or more compared to patients with less than 2 years of stay on treatment.

Adherence to antihypertensive drugs was another important variable that showed a significant association with BP control status. Patients who had high adherence to their antihypertensive drugs were two times (AOR=2.18, 95% CI: 1.14–4.15) as likely to have controlled BP as compared to low adherent patients (Table 4).

Table 4.

Determinant factors of BP control status among adult hypertensive patients on outpatient follow-up at UOGRH, Gondar, northwest Ethiopia, 2016 (n=395)

Variables BP control statusa
Crude OR (95% CI) AOR (95% CI)
Controlled Uncontrolled
Age 1.01 (0.99, 1.02) 1.01 (0.99, 1.02)
Sex
 Male 66 83 1 1
 Female 133 111 1.41 (1.06, 1.86)* 1.31 (0.81, 2.11)
Education
 No formal education 91 88 1 1
 Elementary 54 57 0.74 (0.53, 1.03) 0.79 (0.55, 1.14)
 Secondary and above 54 47 0.63 (0.45, 0.87) 0.67 (0.41, 1.08)
Occupation
 Housewife 101 92 1 1
 Farmer 12 21 0.62 (0.37, 1.04)* 0.82 (0.42, 1.63)
 Government employed 35 22 0.65 (0.43, 0.98)* 0.84 (0.46, 1.54)
 Merchant 7 11 0.47 (0.23, 0.94) 0.68 (0.32, 1.46)
 Private employed 21 26 0.73 (0.47, 1.13) 1.22 (0.67, 2.20)
 Retired 23 24 0.91 (0.59, 1.41) 1.18 (0.59, 2.06)
Wealth index
 Poor 69 63 1 1
 Medium 66 55 0.91 (0.65, 1.28) 0.83 (0.59, 1.17)
 Rich 64 78 0.72 (0.52, 0.99) 0.79 (0.57, 1.11)
Fruit eating habit
 None 115 111 1 1
 1–3 days/week 72 81 0.76 (0.57, 1.00) 0.74 (0.54, 1.01)
 4–7 days/week 12 4 1.19 (0.59, 2.40) 1.21 (0.60, 2.44)
Vegetable eating habit
 None 56 102 1 1
 1–3 days/week 131 88 1.85 (1.39, 2.46)** 2.24 (1.65, 3.06)**
 4–7 days/week 12 6 1.90 (1.14, 3.70) 2.36 (1.17, 4.75)*
Current alcohol consumption
 Yes 2 7 0.31 (0.10, 0.92)* 0.59 (0.20, 1.74)
 No 197 189 1 1
Physical activity
 None 46 91 1 1
 1–3 days/week 28 27 1.27 (0.83, 1.96) 1.50 (0.96, 2.33)
 4–7 days/week 125 78 1.70 (1.26, 2.30)** 1.95 (1.41, 2.68)**
Salt intake
 Yes 45 64 0.65 (0.48, 0.88)* 0.67 (0.49, 0.93)*
 No 154 132 1 1
Body mass index
 Normal/underweight 120 94 1 1
 Overweight 52 77 0.59 (0.43, 0.80)** 0.50 (0.36, 0.68)**
 Obese 27 25 0.66 (0.43, 1.00)* 0.56 (0.36 0.87)*
Duration on treatment
 <2 years 24 49 1 1
 2–4 years 74 68 1.97 (1.32, 2.95)** 1.70 (1.13, 2.56)*
 ≥5 years 101 79 2.22 (1.50, 3.27)** 1.96 (1.32, 2.92)**
DM
 Yes 46 61 1 1
 No 153 135 1.30 (0.95, 1.77) 1.13 (0.82, 1.55)
Adherence
 Low 4 19 1 1
 Medium 36 64 1.55 (0.79, 3.08) 1.33 (0.67, 2.62)
 High 159 113 2.99 (1.57, 5.72)** 2.18 (1.14, 4.15)**

Notes: Significant variables are shown in bold.

*

Significant at p<0.05,

**

Significant at p≤0.001.

a

Blood control status of hypertensive patients on follow-up by taking the average BP over the last 6 months. When OR or AOR value =1, it indicates that is the reference.

Abbreviations: BP, blood pressure; UOGRH, University of Gondar Referral Hospital; OR, odds ratio; AOR, adjusted odds ratio; DM, diabetes mellitus.

Discussion

This study revealed that 50.4% of hypertensive patients on outpatient follow-up controlled their BP over the last 6 months. This finding was higher than those of studies conducted in Turkey (31.7%),13 Malaysia (48.3%),14 Tanzania (47.7%),15 Zimbabwe (32.8%),17 Kenya (33.4%),18 Uganda (35.9),16 and similar study in Addis Ababa, Ethiopia (40.1%).9 This difference is probably due to a change in the criteria used to classify hypertensive patients as having uncontrolled and controlled BP. Most of the literatures used JNC7 (which was used as a cutoff point >140/90 for nondiabetic patients and >130/80 for diabetic patients to say uncontrolled BP), and the current study was conducted by using the JNC8 guideline.

On the other hand, the result of this study was lower than those of studies done in Sudan (64%),30 Pakistan (72.3%),31 and this may be attributed to the difference in the study population and the study design.

This study revealed that patients who did moderate physical activity had a greater chance of having controlled BP. This finding is supported by those of studies conducted in People’s Republic of China,8 Canada,22 the US,32 and Ethiopia.9 This may be due to the fact that regular physical activity makes the heart stronger and can pump more blood with less effort. If the heart works less to pump, the force on the arteries decreases, thus lowering BP. Exercise also has an effect on the reduction of systemic vascular resistance, plasma norepinephrine, and renin activities.33

Eating vegetables was found to be a significant factor for BP control among hypertensive patients. This finding was supported by studies conducted in Chile21 and People’s Republic of China.34 This is due to the fact that vegetables are low in cholesterol and saturated fat and high in dietary fiber, potassium, calcium, and magnesium, which result in BP reduction.

Using salt for meal preparation was inversely associated with BP control in the current study. Hence, there was a 33% reduction in the chance of BP control among patients who used salt as compared to patients who did not. The result is consistent with those of other studies conducted in People’s Republic of China,8 Zimbabwe,17 and Addis Ababa, Ethiopia.9 This is due to the fact that salt disrupts the natural sodium balance in the body, causing fluid retention that increases the pressure exerted by the blood against blood vessel walls.

This study revealed that overweight and obese patients have a less chance of controlled BP. Thus, the likelihood of BP control decreased by 50% for overweight patients and 44% for obese patients as compared to normal/underweight patients. Similar findings were reported by studies conducted in People’s Republic of China,8 Iran,11 Spain,35 Zimbabwe,17 Tanzania,15 Sudan,30 and Ethiopia.9 This may be due to obesity inducing a state of chronic volume overload as a result of increased requirements to circulate blood through large and relatively low resistance adipose tissue.36

Coming to duration on antihypertensive treatment, patients with long duration on treatment have better BP control. Though this result is inconsistent with the finding of a study conducted in Addis Ababa, Ethiopia,9 it is supported by a study in Nigeria.10 The possible reason for this finding may be an increase in awareness and adherence to antihypertensive treatment as the patient stays on treatment for longer years.

Adherence, as measured by Morisky–Green–Levine Scale, has shown a significant association with controlled BP. According to this study, patients who are highly adherent to their antihypertensive treatments have a greater chance of controlled BP compared to low adherent patients. Many studies, like those conducted in Nigeria,10 Zimbabwe,17 Tanzania,15 and Addis Ababa, Ethiopia,9 support this finding.

The findings of this study could be used by physicians who care for hypertensive patients in Ethiopia for an evidence-based management of hypertensive patients. They can also serve as a baseline information for public health policy makers in Ethiopia as well as Sub-Saharan Africa for designing guidelines for better BP control among hypertensive patients, thereby reducing HTN-related morbidity and mortality.

Limitations of the study

Information on lifestyle-related variables and drug adherence were collected by interview, and this may lead to recall bias. Social desirability bias may also occur during collecting some covariates (alcohol, smoking) by the interview technique. These may underestimate the effect of these variables on the dependent variable (biasing the measure of association towards the null). There were some potentially time varying covariates (eg, BMI, physical activity) that were taken at the last visit as we did not have the data during the middle visits. In this study, the prevalence of the outcome (controlled BP) is 50%, and the odds ratio may overestimate the risk in measuring the association.

Conclusion

A significant proportion of the hypertensive people had uncontrolled BP. Lifestyle modifications, like doing physical activity, eating vegetables, and avoiding salt addition on meals, were found as effective nonpharmacologic means of BP control. Duration on antihypertensive treatment and adherence to antihypertensive drugs were positively associated with controlled BP, whereas BMI was inversely associated with controlled BP. Hence, counseling hypertensive patients on drug adherence, the need for vegetable consumption, doing moderate physical activity, and avoiding salt addition habit in meals are recommended to improve BP control.

Data sharing statement

Data will be available upon request from the correspondence authors.

Acknowledgments

The authors are grateful to supervisors and data collectors. Our appreciation also goes to chronic illness treatment clinic staff of University of Gondar Referral Hospital for their kind support during the data collection. Finally, we would like to thank the study participants without whom the research would not have been completed.

Footnotes

Author contributions

YA wrote the proposal, coordinated the data collection activity, analyzed the data, and drafted the paper. DGL revised the proposal and participated in the data collection and analysis and manuscript writing. ATA revised the proposal and participated in data analysis and manuscript editing. All the authors read and approved the final manuscript.

Disclosure

The authors report no conflicts of interest in this work.

References

  • 1.Kotcher T. Hypertensive vascular disease. In: Athonys F, Eugene B, Dennis K, editors. Harrison’s Principles of Internal Medicine. 17 ed. Vol. 2. New York: McGraw-Hill Companies; 2008. pp. 1549–1562. [Google Scholar]
  • 2.World Health Organization . Global status report on noncommunicable diseases 2014. [Accessed April 4, 2018]. Available from: apps.who.int/iris/bitstream/10665/148114/1/9789241564854_eng.pdf. [Google Scholar]
  • 3.World Health Organization . Global status report on noncommunicable diseases. 2014. [Google Scholar]
  • 4.Ogah OS, Rayne BL. Recent advances in hypertension in sub-Saharan Africa. Heart. 2013;99(19):1390–1397. doi: 10.1136/heartjnl-2012-303227. [DOI] [PubMed] [Google Scholar]
  • 5.Mendis S, Puska P, Norrving Bo, World Health Organization . Global Atlas on Cardiovascular Disease Prevention and Control World Health Organization in Collaboration with the World Heart Federation and the World Stroke Organization. Geneva: World Health Organization; 2011. pp. 3–18. [Google Scholar]
  • 6.Iyer AS, Ahmed MI, Filippatos GS, et al. Uncontrolled hypertension and increased risk for incident heart failure in older adults with hypertension: findings from a propensity-matched prospective population study. J Am Soc Hypertens. 2010;4(1):22–31. doi: 10.1016/j.jash.2010.02.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Chobanian AV, Bakris GL, Black HR, et al. National Heart, Lung, and Blood Institute Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure; National High Blood Pressure Education Program Coordinating Committee The seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure: the JNC 7 report. JAMA. 2003;289(19):2560–2572. doi: 10.1001/jama.289.19.2560. [DOI] [PubMed] [Google Scholar]
  • 8.Yang L, Xu X, Yan J, et al. Analysis on associated factors of uncontrolled hypertension among elderly hypertensive patients in Southern China: a community-based, cross-sectional survey. BMC Public Health. 2014;14:903. doi: 10.1186/1471-2458-14-903. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Tesfaye A, Kumela K, Wolde M. Blood pressure control associates and antihypertensive pharmacotherapy patterns in Tikur Anbessa General Specialized Hospital Chronic Care Department, Addis Ababa, Ethiopia. Am J Biomed Life Sci. 2015;3(3):41–48. [Google Scholar]
  • 10.Iloh GUP, Ofoedu JN, Njoku PU, Amadi AN, Godswill-Uko EU. Medication adherence and blood pressure control amongst adults with primary hypertension attending a tertiary hospital primary care clinic in Eastern Nigeria. Afr J Prim Health Care Fam Med. 2013;5(1):446–452. [Google Scholar]
  • 11.Rezaeian S, Ahmadzadeh J. Blood pressure control in hypertensive patients, Iran: a cross-sectional study. Int J Collab Res Intern Med Public Health. 2012;4(12):1952–1958. [Google Scholar]
  • 12.Mori H, Ukai H, Yamamoto H, et al. Current status of antihypertensive prescription and associated blood pressure control in Japan. Hypertens Res. 2006;29(3):143–151. doi: 10.1291/hypres.29.143. [DOI] [PubMed] [Google Scholar]
  • 13.Seravalle G, Koylan N, Nalbantgil I, et al. HYT-hypertension in Turkey: a cross-sectional survey on blood pressure control with calcium channel blockers alone or combined with other antihypertensive drugs. High Blood Press Cardiovasc Prev. 2015;22(2):165–172. doi: 10.1007/s40292-015-0091-6. [DOI] [PubMed] [Google Scholar]
  • 14.Cheong AT, Sazlina SG, Tong SF, Azah AS, Salmiah S. Poor blood pressure control and its associated factors among older people with hypertension: a cross-sectional study in six public primary care clinics in Malaysia. Malays Fam Physician. 2015;10(1):19–25. eCollection 2015. [PMC free article] [PubMed] [Google Scholar]
  • 15.Maginga J, Guerrero M, Koh E, et al. Hypertension control and its correlates among adults attending a hypertension clinic in Tanzania. J Clin Hypertens (Greenwich) 2016;18(3):207–216. doi: 10.1111/jch.12646. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Musinguzi G, Nuwaha F. Prevalence, awareness and control of hypertension in Uganda. PLoS One. 2013;8(4):e62236. doi: 10.1371/journal.pone.0062236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Goverwa TP, Masuka N, Tshimanga M, et al. Uncontrolled hypertension among hypertensive patients on treatment in Lupane District, Zimbabwe, 2012. BMC Res Notes. 2014;7:703. doi: 10.1186/1756-0500-7-703. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Mutua EM, Gitonga MM, Mbuthia B, Muiruri N, Cheptum JJ, Maingi T. Level of blood pressure control among hypertensive patients on follow-up in a regional referral hospital in Central Kenya. Pan Afr Med J. 2014;18:278. doi: 10.11604/pamj.2014.18.278.4308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.He J, Muntner P, Chen J, Roccella EJ, Streiffer RH, Whelton PK. Factors associated with hypertension control in the general population of the United States. Arch Intern Med. 2002;162(9):1051–1058. doi: 10.1001/archinte.162.9.1051. [DOI] [PubMed] [Google Scholar]
  • 20.Morgado M, Rolo S, Macedo AF, Pereira L, Castelo-Branco M. Predictors of uncontrolled hypertension and antihypertensive medication nonadherence. J Cardiovasc Dis Res. 2010;1(4):196–202. doi: 10.4103/0975-3583.74263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Pienovi L, Lara M, Bustos P, Amigo H. Consumo de frutas, verduras y presión arterial. Un estudio poblacional [Fruit and vegetable intake, and blood pressure. A population research] Arch Latinoam Nutr. 2015;65(1):21–26. Spanish [with English abstract] [PubMed] [Google Scholar]
  • 22.Ghadieh AS, Saab B. Evidence for exercise training in the management of hypertension in adults. Can Fam Physician. 2015;61(3):233–239. [PMC free article] [PubMed] [Google Scholar]
  • 23.Kayima J, Wanyenze RK, 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. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.van de Vijver SJ, Oti SO, Agyemang C, Gomez GB, Kyobutungi C. Prevalence, awareness, treatment and control of hypertension among slum dwellers in Nairobi, Kenya. J Hypertens. 2013;31(5):1018–1024. doi: 10.1097/HJH.0b013e32835e3a56. [DOI] [PubMed] [Google Scholar]
  • 25.World Health Organization WHO STEPS Instrument (Core and Expanded). The WHO STEPwise approach to noncommunicable disease risk factor surveillance (STEPS) [Accessed April 4, 2018]. Available from: http://www.who.int/ncds/surveillance/steps/instrument/STEPS_Instrument_V3.2.pdf?ua=1.
  • 26.James PA, Oparil S, Carter BL, et al. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8) JAMA. 2014;311(5):507–520. doi: 10.1001/jama.2013.284427. [DOI] [PubMed] [Google Scholar]
  • 27.Abebe Z, Tariku A, Gebeye E. Availability of adequately iodized in Northwest Ethiopia: a cross-sectional study. Arch Public Health. 2017;75:33. doi: 10.1186/s13690-017-0201-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.World Health Organization Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. [Accessed April 4, 2018]. (WHO Technical Report Series 854). Available from: http://apps.who.int/bmi/index.jsp?introPage=intro_3.html. [PubMed]
  • 29.Patry-Parisien J, Shields M, Bryan S. Comparison of waist circumference using the World Health Organization and National Institutes of Health protocols. Health Rep. 2012;23(3):53–60. [PubMed] [Google Scholar]
  • 30.Babiker FA, Elkhalifa LA, Moukhyer ME. Awareness of hypertension and factors associated with uncontrolled hypertension in Sudanese adults. Cardiovasc J Afr. 2013;24(6):208–212. doi: 10.5830/CVJA-2013-035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Almas A, Godil SS, Lalani S, Samani ZA, Khan AH. Good knowledge about hypertension is linked to better control of hypertension; a multicentre cross sectional study in Karachi, Pakistan. BMC Res Notes. 2012;5:579. doi: 10.1186/1756-0500-5-579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Brown RE, Riddell MC, Macpherson AK, Canning KL, Kuk JL. The joint association of physical activity, blood-pressure control, and pharmacologic treatment of hypertension for all-cause mortality risk. Am J Hypertens. 2013;26(8):1005–1010. doi: 10.1093/ajh/hpt063. [DOI] [PubMed] [Google Scholar]
  • 33.Fagard RH, Cornelissen VA. Effect of exercise on blood pressure control in hypertensive patients. Eur J Cardiovasc Prev Rehabil. 2007;14(1):12–17. doi: 10.1097/HJR.0b013e3280128bbb. [DOI] [PubMed] [Google Scholar]
  • 34.Li G, Cai AP, Mo YJ, et al. Effects of guideline-based hypertension management in rural areas of Guangdong Province. Chin Med J (Engl) 2015;128(6):799–803. doi: 10.4103/0366-6999.152644. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Rodríguez Pérez MC, Cabrera de León A, Morales Torres RM, et al. Factors associated with knowledge and control of arterial hypertension in the Canary Islands. Rev Esp Cardiol (Engl Ed) 2012;65(3):234–240. doi: 10.1016/j.recesp.2011.09.021. [DOI] [PubMed] [Google Scholar]
  • 36.Jesky MD, Hayer MK, Thomas M, Dasgupta I. Do obese individuals with hypertension have more difficult-to-control blood pressure and end organ damage than their nonobese counterparts? J Clin Hypertens (Greenwich) 2015;17(6):466–472. doi: 10.1111/jch.12532. [DOI] [PMC free article] [PubMed] [Google Scholar]

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