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International Journal of Hypertension logoLink to International Journal of Hypertension
. 2011 Jan 20;2010:168739. doi: 10.4061/2010/168739

Characteristics, Risk Factors, and Treatment Practices of Known Adult Hypertensive Patients in Saudi Arabia

N Al-Hamdan 1, A Saeed 1,*, A Kutbi 2, A J Choudhry 3, R Nooh 3
PMCID: PMC3034950  PMID: 21318133

Abstract

Objective. To determine the prevalence, risk factors, characteristics, and treatment practices of known adult hypertensives in Saudi Arabia. Methods. Cross-sectional community-based study using the WHO stepwise approach. Saudi adults were randomly chosen from Primary Health Care Centers catchment areas. Data was collected using a questionnaire which included sociodemographic data, history of hypertension, risk factors, treatment practices, biochemical and anthropometric measurements. Collected data was cheeked, computer fed, and analysed using SPSS V17. Results. Out of 4719 subjects (99.2% response), 542 (11.5%) subjects were known hypertensives or detected by health workers in the past 12 months. Hypertension was significantly associated with age, gender, geographical location, education, employment, diabetes, physical inactivity, excess body weight, and ever smoking. Multiple logistic analysis controlling for age showed that significant predictors of hypertension were diabetes mellitus, ever smoking, obesity, and hypercholesteremia. Several treatment modalities and practices were significantly associated with gender, age, education, and occupation. About 74% were under prescribed treatment by physicians, 62% on dietary modification, 37% attempted weight reduction, 27% performed physical exercise, and less than 7% used herbs, consulted traditional healers or quitted smoking. Income was not significantly associated with any treatment modality or patient practices. Conclusion. Hypertension (known and undetected) is a major chronic health problem among adults in Saudi Arabia. Many patients' practices need changes. A comprehensive approach is needed to prevent, early detect, and control the disease targeting, the risk factors, and predictors identified.

1. Introduction

The burden of noncommunicable Diseases (NCD) is rising rapidly nationally and globally constituting a major challenge to development. The World Health Organization (WHO) in recognition of this trend developed a global strategy for the prevention and control of noncommunicable diseases [1]. This strategy focuses on assessing the pattern and trends of risk factors of major NCD; the national capacity for prevention and control; promoting the development of evidence-based strategy to reduce unhealthy behaviors and major risk factors; implementing cost-effective and equitable interventions for the management of common noncommunicable diseases [1]. The Kingdom of Saudi Arabia (KSA) is considered to be one of the rapidly growing countries that have been affected by the lifestyle changes reflected by change in disease pattern. Data on NCD and their risk factors was either very scanty or not collated in the country [2]. Therefore, it was decided to carry out a national situational analysis and a baseline survey of NCD risk factors. Hypertension was one of the major diseases covered in the survey.

Hypertension is an important worldwide public-health challenge because it is one of the most common chronic conditions. It may not be detected and if detected may be neglected by many individuals particularly in the developing world. This is unfortunately because it is a major risk factor for heart disease, stroke, kidney disease and other complications. The prevalence of hypertension continues to rise across the world, and most patients who receive medical intervention are not adequately treated to goal [3]. The reported prevalence of hypertension varied around the world from 3.4% in men in rural India as the lowest to 72.5% in elderly women in Poland as the highest [4]. Earlier community surveys in KSA showed that the overall prevalence among adults in the country ranged from 15.4 to 26.1% depending on the hypertension definition used [5, 6]. Accurate updated data of the countrywide prevalence of known and undetected cases of this condition is essential. This primary information is vital for rational planning of preventive and curative health services. This communication focuses on the characteristics, risk factors and practices of adult hypertensives. Those are adult Saudi subjects who are known or were informed by health workers to be hypertensives during their usual visits to the health facilities in the past 12 months.

2. Methods

This is a cross-sectional community-based study covering whole of Kingdom of Saudi Arabia. The WHO stepwise approach to Surveillance (STEPS) of NCD risk factors was the basis for conducting the survey and collecting data [7].

Study Population —

The study population was all Saudi population of all the 20 health regions of the country aged 15–64 years.

Sampling —

A multistage stratified cluster random sampling technique was used to recruit the study subjects. Stratification was based on age (five 10-year age groups), gender (2 groups), and health regions of country. Based upon proposed methodology of the WHO stepwise approach, a sample size of 196 was calculated for each of these ten strata. A list of all Primary Health Care Centers (PHCCs) in each region was prepared, and 10% of these PHCCs were randomly chosen, and allocated regional sample to them proportionate to the size of their catchment population in sampled PHCCs. To identify the households, a map of the health center coverage area was used to choose the houses. Each house was assigned a number and a simple random draw was made. The total selected sample included 4758 adult subjects with females constituting 50.8% of them. Females constituted 38.2% in the age groups 15–44 years compared to 32.7% of males. For age groups 45 years and above, males constituted 16.5% compared to 12.6% for females.

2.1. Data Collection

2.1.1. Tool Used

Data was collected using the WHO stepwise approach which includes a questionnaire, physical measurements and biochemical measurements covering hypertension and other chronic diseases and risk factors. The questionnaire was translated into Arabic by a team of physicians and was back translated to ensure the accuracy of translation. Arabic instrument was pretested on 51 eligible respondents for wording and understanding of the questions, and necessary adjustments were made in the instrument in light of the pretest. The questionnaire includes socio-demographic data, history of blood pressure and blood pressure measurement in addition to other chronic diseases and risk factors. A specific question enquired whether the subject is a known hypertensive or discovered to be hypertensives by health professionals during the last 12 months.

2.1.2. Data Collectors

Data was collected by 54 males and 54 female collectors who work in teams. Each field team was made up of four persons; a male data collector, a female data collector, a driver, and a female assistant. Data collection teams were supervised by a hierarchy of local supervisor, regional coordinators, and national coordinator.

2.2. Training of Data Collectors

All individuals involved in data collection attended a comprehensive training workshop that included interview techniques, data collection tools, practical applications and field guidelines.

2.3. Blood Pressure Measurement

Blood pressure (BP) measurements were taken using a digital sphygmomanometer. Before taking the measurements, the respondent was advised to sit quietly and rest for 5 min with the legs uncrossed and the right arm free of clothing. Then, the right arm was placed on the table with the palm facing upwards. The appropriate cuff size was selected. Three measurements were recorded with five-minutes intervals. The average of the three readings was considered the actual blood pressure. The study sample for the present communication was all known adult hypertensives and all those informed by health professionals to be hypertensives during the past 12 months during their usual visit to health facilities. They do not include newly diagnosed hypertensives during the survey itself.

2.4. Data Management and Analysis

Questionnaires collected from the field were reviewed by team leaders assigned to each team before submitting them to the headquarters for data entry. Double entry of the questionnaires was performed using EPI-INFO 2000 software and EpiData software developed by the Menzes Centre for validation. After data entry, data cleaning was conducted. New variables were defined by adopting the standard steps variables (STEPS Data Management Manual, Draft version v1.5, October 2003).

2.5. Statistical Analysis

Data analysis was conducted using Statistical Package for Social Sciences (SPSS) software. Univariate analysis was performed for significant associations and Logistic Regression analysis was used for significant predictors of hypertension. A P value of ≤.05 was taken for statistical significance. The data were processed using SPSS version 17.

2.6. Ethical Clearance and Confidentiality

The protocol and the instrument of the surveillance were approved by the Ministry of Health, Center of Biomedical Ethics and the concerned authorities in the Kingdom. Informed consent of all subjects was obtained. Confidentiality of data was assured and that data will be used only for the stated purpose of the survey.

3. Results

A total of 4758 subjects participated in the study and 4719 were included in the final analysis giving an overall of 99.2% response rate. Females constituted about 51% of the study population. Females in age group 25–44 years were more than males (53.3% compared to 43.1%), while males were more than females in the age group 45–64 years (33.5% compared to 24.8%). Of the total participating subjects, 542 were known or detected hypertensives during the past 12 months by health professionals giving an overall prevalence of 11.5%. Hypertension prevalence increases with increasing age and BMI as shown in Figures 1 and 2. Univariate analysis showed that there were significant genderand age differences. Females had significantly higher prevalence than males (12.8% compared to 10.2%). Hypertension significantly increased with advancing age in both genders. There were also significant regional differences. The highest prevalence was in the central region and the lowest was in the southern region (15.3% compared to 7.6%) as can be seen in Table 1. Prevalence of hypertension was also significantly higher in illiterates and postuniversity educated, retired, and unemployed unable subjects. It was lowest among students. The association of hypertension prevalence with income was studied. Subjects with very low or very high family income tended to have higher hypertension prevalence, but the differences were not statistically significant. Hypertension was significantly higher in subjects who were diabetic, hypercholestremic, ever smoking, physically inactive with higher Body Mass Index (BMI), and central obesity as depicted in Table 2. All significant factors studied in univariate analysis were studied for significant hypertension predictors using multiple logistic regression analysis after controlling for age. Obesity, ever smoking, diabetes mellitus, and hypercholesteremia were significant predictors of hypertension as can be seen in Table 3. Patients' treatment modalities and practices are depicted in Table 4. About 74% of patients were on prescribed treatment in form of medications by physicians, and less than 7% were getting advice from traditional healers or taking herbal medications. There was significant association between practices and demographic characteristics of patients. Females used prescribed treatment, dietary control, and herbs significantly more than males, while males quitted smoking as a treatment modality significantly more than females. Older patients used treatment, medications, dietary control, weight reduction significantly more than younger patients. The central region patients used weight reduction and exercise significantly more than the other regions.

Figure 1.

Figure 1

Prevalence of hypertension (%) by age in Saudi Arabia 2005.

Figure 2.

Figure 2

Prevalence in percentage of hypertension by BMI in Saudi Arabia, 2005.

Table 1.

Prevalence of hypertension according to the sociodemographic characteristics.

Variable Total number Hypertensives (N  =  542)% (n) P value
Gender (n − 4719)
Male 2323 10.2 (236) .005
Female 2396 12.8 (306)

Age (years) (n = 4719) <.001
15–24 1058 1.8 (19)
25–34 1121 5.1 (57)
35–44 1163 10.1 (117)
45–54 836 22.1 (185)
55–64 541 30.3 (164)

Region (n = 4719)
Central 1112 15.3 (170) <.001
Eastern 706 11.9 (84)
Northern 452 10.6 (48)
Southern 998 7.6 (76)
Western 1451 11.3 (164)

Work (n = 4713)
Government 1371 9.1 (124) <.001
Non government 179 10.7 (19)
Self employed 275 12.9 (35)
Students 649 1.3 (8)
House-maker 1759 15.4 (269)
Retired 308 23.8 (73)
Unemployed (able) 181 3.4 (6)
Unemployed
(not able)
29 26.7 (8)

Table 2.

Prevalence of hypertension according to level of physical activity, obesity, smoking, diabetes, and cholesterol level.

Variable Total subjects Hypertensive subjects P value
Physical activity (n = 4576) .001
High >120 minutes/day 762 7.3 (56)
Moderate 30–120 minutes/day 766 9.9 (76)
Low <30 minutes/day 3048 12.0 (366)

BMI (n = 4560) <.001
(weight in kilograms/height in meters squared)
<18.5 256 0.8 (2)
18.5–24.9 1188 6.1 (72)
25.0–29.9 1467 10.9 (160)
30.0–39.9 1414 17.1 (242)
40.0+ 235 23.8 (56)

Ever smoking (n = 4576) .023
(Tobacco use in the past irrespective of quantity or duration)
Yes 580 14.5 (84)
No 3996 11.2 (449)

Diabetes (n = 4639) <.001
(Known diabetic or
fasting blood glucose ≥7.00 mm/Liter)
Yes 709 32.2 (228)
No 3930 7.8 (307)

Central obesity: males (Waist W/H ratio >1.0) Females (W/H ratio >0.85) (n = 4385) <.001
Yes 963 17.5 (169)
No 3422 356 (10.4)

Total cholesterol level (n = 4469) .001
Elevated >5.2 mmol/Liter 862 17.1 (147)
Not elevated ≤5.2 mmol/Liter 3607 10.4 (374)

Table 3.

Logistic regression analysis of hypertension contributing factors.

Items B S.E. Wald X2 value DF P value Odds ratio (OR) 95% C.I. for OR
Lower Upper
Ever Smoking 1.141 0.417 7.496 1 .006 3.129 1.383 7.079
Diabetes mellitus 1.681 0.436 14.883 1 <.001 5.373 2.287 12.623
Central obesity 1.353 0.477 8.034 1 .005 3.870 1.518 9.865
Total cholesterol (mmol/Liter) 0.276 0.123 5.028 1 .025 1.317 1.035 1.676
Constant 6.755 1.952 11.970 1 .001 0.001

Covariates in equation: gender, region, occupation, education, smoking, diabetes, central obesity, physical activity, cholesterol level.

Table 4.

Treatment modalities and practices of hypertensives (n = 542).

Variable Any treatment (%) Prescribed (%) Diet (%) Weight loss (%) Stop smoking (%) Exercise (%) Traditional (%) Herbs (%)
Gender
 Male 86.4 75.4 53.0 35.2 13.6 31.4 5.1 2.1
 Female 91.9 71.2 68.3 38.6 1.3 23.9 7.8 6.2
P value .043 .277 <.001 .418 <.001 .052 .201 .022

Age (Years)
 15–24 52.6 26.3 31.6 21.1 15.8 21.1 0.0 0.0
 25–34 71.9 35.1 45.6 28.1 7.0 21.1 8.8 7.0
 35–44 87.2 62.4 65.8 48.7 3.4 31.6 4.3 3.4
 45–54 93.0 81.1 62.2 36.8 7.6 26.5 7.0 4.3
 55–64 97.7 90.2 67.1 34.1 6.7 27.4 7.9 4.9
P value <.001 <.001 .003 .002 .309 .616 .568 .709

Region
 Central 90.0 72.4 67.1 48.8 4.1 25.3 3.5 2.4
 Eastern 90.5 70.2 58.3 36.9 6.0 31.0 6.0 3.6
 North 98.6 79.2 43.8 20.8 8.3 20.8 8.3 4.2
 South 90.8 71.1 65.8 32.9 17.1 35.5 6.6 2.6
 West 87.8 74.4 61.0 31.7 4.3 25.0 9.8 7.9
P value .943 .810 .048 .001 .002 .291 .239 .125

Education
 Non 93.7 81.8 64.4 33.6 5.5 24.2 8.7 3.2
 Primary 91.5 80.1 62.4 39.0 5.7 29.2 7.8 6.4
 Intermediate 77.1 47.9 43.8 35.4 1.4 31.2 0.0 0.0
 Secondary 68.4 42.1 47.7 36.8 7.9 26.3 10.5 7.9
 University+ 87.8 51.0 75.5 46.9 12.2 30.6 6.1 4.1
 Vocational 100 92.3 61.5 53.8 0.0 38.3 7.7 15.4
P value <.001 .001 .019 .391 .378 .699 .455 .100

Total (%) 73.1 73.7 61.6 37.1 6.6 27.1 6.6 4.4

Treatment modalities and prescribed treatment by physicians were significantly more associated with lower educational level, while dietary control was significantly more practiced by university graduates. Further analysis showed that retired, and unemployed patients used prescribed treatment significantly more than the other occupations. Students used all treatment modalities less than all other subjects. Income was not significantly associated with any treatment modality.

4. Discussion

The overall prevalence of known adult hypertension in this study was 11.5%. Similar STEPwise surveys reported an average prevalence rate 11%-12% (ranging from 8.5 to 19.2%) [810]. These rates are much less than the overall rates found in this STEP wise study and the last national survey which showed that one-fifth or more of the adult population were hypertensives [2, 6]. This shows that many hypertensives are not recognized and not detected. This appears to confirm that the rule of halves in hypertension is still valid as confirmed by many studies later in many parts of the world [11, 12]. The situation is complicated by undetected hypertensives by health workers, a trend known as masked hypertension with prevalence reported to affect 10%–16.8% of the general population and carried an adverse prognosis, both in terms of increased target organ damage and cardiovascular events [13, 14] This study showed the significant relation of hypertension with advancing age in both sexes in agreement with national and international studies in almost all populations with diverse geographical, cultural, and socioeconomic characteristics [2, 5, 6, 810]. In this study the prevalence of hypertension among females was significantly higher than males. Similar STEPwise surveys reported that females in many Arab and Moslem countries including neighboring countries showed higher hypertension prevalence than males [810]. Overall worldwide prevalence of hypertension, however, showed no significant gender difference [4, 15]. These results show that gender has no consistent association with hypertension, and differences may be due to confounding variables. This study found significant association between hypertension and occupation and education status. Illiterate and highly educated, unemployed and subjects doing house duties tended to have significantly higher hypertension prevalence. In neighboring Oman, hypertension prevalence was higher among subjects with lower educational level, retired and housewives [9]. Occupation was significantly associated with hypertension in some Asian countries. Farmers, as an example, in Vietnam suffer from hypertension less than traders and handicraft makers [16]. Hypertension was more in Japan in jobs characterized by shift work, awkward posture, exposure heat, sitting work, doing several tasks simultaneous, being interrupted at work not being able to take eyes off work [17]. Other countries outside Asia such as Germany showed gender differences in the association of hypertension with occupation. In men the highest prevalence of hypertension was in metal-processing workers, carpenters/painters, and electricians, compared to office clerks. In women, the highest prevalence was found in technicians/forewomen, scrutinizers/storekeepers, and food-processing occupations [18]. These differences may be due to a specific occupational hazard or may be due to several confounders associated with hypertension such as education and income which may be closely related to occupation. This study showed that hypertension tend to be more among low- and high-income subjects although results did not reach significance level. Some studies reported that in both men and women, the income distributions of blood pressure and hypertension were nonlinear, indicating elevated levels in low as well as in high-income groups [19]. Low and high incomes may be associated with psychological tensions which may be associated with hypertension. Education; occupation, and income are all related to socioeconomic status (SES). Low SES is associated with elevated rates of blood pressure-related cardiovascular disease [20, 21]. Our findings showed significant geographical variation in hypertension prevalence where the Central Region had the highest and the southern region had the lowest prevalence of hypertension. The Central Region is highly urbanized, industrialized, and developed compared to the southern region. Geographical variations in the prevalence of hypertension were reported in many studies in different regions of the world [9, 2226]. These regional variations in blood pressure may also be related to regional variation in socioeconomic, demographic and dietary in addition to the geographic characteristics. Significant hypertension predictors as revealed by multivariate logistic regression analysis included obesity, ever tobacco smoking, diabetes mellitus and high cholesterol level. This is in agreement with many, national and international studies which showed that hypertension was threefold more in diabetics, significantly more in obese and ever smokers and those with high levels of total cholesterol [2731]. The situation is very worrying when we know that the prevalence of obesity, diabetes, dyslipidemia and smoking among adults in KSA has reached alarming magnitudes affecting more than a quarter of the population [3234].

The management of hypertension entails using pharmacological, nonpharmacological or both interventions. The practices of patients to control their disease status in this study include dietary modification (61.6%), weight reduction (37%) and exercise (27.1%). Such modalities and others nonpharmacological interventions were found to be very useful in lowering blood pressure. Lifestyle interventions can have a similar reduction in blood pressure to single antihypertensive drugs [34]. Weight loss, especially when combined with dietary sodium restriction, fruits and vegetables, exercise, tobacco-free environment lower blood pressure in hypertensive and also in normotensive patients [3539]. It is emphasized that simple advice from physicians can have a positive influence on patients' motivation to make lifestyle changes [32, 34]. The suitable premises for physical activity should be provided taking in consideration religious and cultural aspects. It is gratifying that only few patients were using herbs or consulting traditional healers for treatment of hypertension. Many of these were not proved to be effective or safe, and such practices should be strongly discouraged.

5. Conclusion

Hypertension is an important chronic health problem among adults in KSA. It is significantly associated with advancing age, excess body weight, smoking, dyslipidemia, diabetes mellitus, lower level of education, and employment status. Undetected hypertension is a major problem. A comprehensive approach is needed to prevent, early detect and control the disease aiming at preventing, reversing or reducing the risk factors. This should start as early as possible among school students. Emphasis should be on the importance of healthful lifestyle behaviors. All health care providers particularly in PHCCs should check blood pressure for all clients properly and repeatedly, enquire about risk factors, and offer advice concerning lifestyle modifications particularly encouraging regular physical activity, proper nutritional practices and avoiding smoking. Public health policies should be enforced to provide a favorable environment for hypertension control by regulating food industry, providing facilities for physical activity and smoking cessation services.

What Is Already Known of This Topic —

Hypertension is a common chronic morbidity increasing worldwide including KSA. The magnitude of the problem is not accurately assessed.

What This Study Adds —

This study confirms that detected hypertension is a real problem in Saudi Arabia. Many practices of patients are significantly associated with their demographic characteristics. Undetected hypertension is of equal magnitude and importance. Health professionals have pivotal role in detecting new cases by regularly enquiring about the risk factors and measuring blood pressure correctly during each client visit. Intervention strategies need to address the identified predictors and significant risk factors.

Conflict of Interest

The authors declare no conflict of interests.

Acknowledgment

This study was fully supported by the Ministry of Health, Saudi Arabia.

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