High Blood Pressure, an Epidemic Inadequately Diagnosed and Poorly Controlled: A Community-based Survey in Kinondoni District

Table of contents

1. I. Background

hile infectious diseases continue to plague sub-Saharan Africa, the rapid increase in noncommunicable diseases (NCDs) is exacerbating an already distressing situation. Faced by impoverished health care systems and poor infrastructure, a rising trend of NCDs in Africa is making the battle against the ever present infectious diseases even more difficult. Cardiovascular disease is currently the number one killer in developing countries, claiming as many lives as HIV, TB and malaria combined. [1][2][3] With a 7% attribution to the global burden of disease, hypertension is indeed the single most substantial cause of disability and mortality worldwide. [4][5][6] Accountable for about 50% of deaths due to heart disease, kidney failure and stroke in 2013, hypertension remain a significant threat to global health and development. [7][8][9] Despite having a high asymptomatic potential, easy diagnostic modality, and a clear management strategy, the rates of hypertension awareness, treatment and control is very low especially in developing nations. 10 Tanzania like other third world countries is witnessing an upsurge of NCDs with hypertension among the leading etiologies. This community-based survey conducted in Kinondoni district, Dar es Salaam, aimed to determine the prevalence, awareness, control and associated factors for high blood pressure in the targeted urban population. the screening advert through the media were recruited and screened. Socio-demographic parameters were gathered through interviews utilizing a structured questionnaire. We grouped age into 4 categories; children: <18 years, young adults: 18-39 years, middle age 40-54 years and elderly: ?55 years. 11 Physical activity was assessed using the Physical Activity Vital Sign (PAVS) scale 12 ; with scores of 0 minutes/week denoting inactivity, 1 -<150 minutes/week signifying underactivity and ?150 minutes/week indicating physical activeness. Weight and Height were measured using the standard measuring scales and BMI for those aged 20 years and above was calculated by a ratio of weight (in kilograms) to height (in meters) squared. For those under 20 years, a CDC BMI calculator for children and teens 13 was utilized. We defined underweight as BMI<18.5 kg/m 2 , normal: BMI 18.5-24.9 kg/m 2 , overweight: BMI 25-29.9 kg/m 2 and obese: BMI ?30 kg/m 2 . 14 Individuals who smoked at least 1 cigarette in the past 6 months were regarded as current smokers, those who last smoked over 6 months or self-reported quitting smoking were considered past smokers and those who never smoked but currently live with a smoker were regarded as passive smokers. Alcohol drinking was defined as at least a once consumption every week. Alcohol dependence was assessed by the CAGE questionnaire 15 , where a total score of 2 or greater was used to define alcohol dependence. Blood pressure (BP) was measured by digital BP machines where a systolic blood pressure (SBP) <120 mmHg and a diastolic blood pressure (DBP) <80 mmHg was used to define normotension/optimal BP. Pre-hypertension was defined by SBP of 120-139 mmHg or DBP of 80-89 mmHg, while SBP ?140 mmHg or DBP ?90 mmHg indicated hypertension. 16 A hypertensive subset with SBP ?180 mmHg or DBP ? 110 mmHg was regarded as hypertensive crisis. 17 Awareness of hypertension was defined as a self-report of any prior diagnosis of hypertension in a health facility and/or use of antihypertensives. Controlled hypertension/BP was defined as awareness of hypertension associated with a SBP <140mmHg and DBP <90mmHg. All interviewers and medical personnel involved in the screening were familiar with the study aims and methods.

2. II. Methods

3. b) Statistical analysis

All statistical analyses were performed by STATA v11.0 software. Summaries of continuous variables are presented as means (± SD) and categorical variables are presented as frequencies (percentages). Categorical and continuous variables were compared using the Pearson Chi square tests and Student's T-test respectively. Bivariate analyses were performed to assess for factors associated with high blood pressure. Significant variables (p<0.05) were then entered in a multivariate logistic regression model to control for confounders. Odd ratios with 95% confidence intervals and p-values are reported. Statistical significance was set at p<0.05 and all tests were two tailed. The mean BMI of participants was 27.8 ± 7.1. Overall, 97 (5.4%) were underweight, 544 (30.3%) had normal BMI, and 1155 (64.3%) were overweight or obese; Table 2. Age ?40 and female sex displayed a higher likelihood for being overweight and/or obese, (OR 4.0, 95% CI 3.2-5.0, p<0.001 and OR 2.3, 95% CI 1.8-2.8, p<0.001 respectively).

4. III. Results

5. a) Study Population

6. c) Blood Pressure Control and Hypertension Awareness

Of the 1796 persons who responded to the questions regarding history of chronic disease, 688 (38.3%) had a history of at least one chronic illness. Cardiovascular related diseases were reported by 612 (88.9%) of those with a positive history of chronic illness, 559 (91.3%) of whom had hypertension awareness.

The prevalence of hypertension in this study was 63.3% (1137/1796) and 49.2% (559/1137) of these were aware of their hypertensive status. The mean SBP and DBP of persons aware of their hypertensive status was 166.0 ± 29. 8

7. IV. Discussion

Nearly two-thirds of individuals in this recent urban community-based screening had high blood pressure. In contrast to previous studies, these findings are substantially high. In a systematic review of hypertension studies in Africa by Addo 18 et al, there was a wide variation in hypertension prevalence ranging from 9.3% 19 in Ethiopia to 48.1% 20 in Mozambique. Our findings nevertheless are in unison with another population-based Tanzanian study which found a prevalence of 70% 21 , this study however involved persons aged above 70 years.

Correlates of high blood pressure included age ?40, male sex and BMI ?25 which were associated with up-to 5-fold increased chance of being hypertensive. These factors and others including physical inactivity are well established risk factors that have been consistently demonstrated in several studies. 22,23 The rates of hypertension were nearly similar to the rates of excess body weight in this study. This potentially implied that overweight/obesity was the strongest modifiable factor associated with hypertension. Physical inactivity was not a significant factor for hypertension in this present study, it should be noted however that the population we screened was predominantly inactive. Moreover, the observation that females were more likely to be inactive than males was reciprocated in the BMI measurement in the sense that females displayed higher likelihood for excess body weight compared to males. The overall rates of obesity in this present study were almost twice the rates found by Shayo 24 et al in the same setting in 2010. In unison to Shayo et al study, we also found higher rates of obesity among females. We were intrigued by the observation that although females were significantly obese than males, hypertension rates were higher in males compared to females. Androgen mediated abnormalities in pressure natriuresis is currently the plausible theory explaining the differences in hypertension rates between sexes. 25 One in every two persons with high blood pressure in this study was unaware of their hypertensive status. Reported rates of hypertension awareness in Africa ranges from 12.3% among Nairobi slum dwellers to 81% in urban Tunisia. 26,27 Remarkably, one out of every five persons who were unaware of their hypertensive status had BP elevated to crisis levels. It is well known that such high BP is critical and warrant immediate evaluation as can result to multiple organ failure including blindness, kidney failure, heart failure and stroke. 17 One third of newly diagnosed hypertensives had echocardiographic changes consistent with hypertension (i.e. left ventricular hypertrophy). This finding reflects the high asymptomatic potential of hypertension and suggests that regular BP measurement is important. Hypertension control rates are uniformly low amongst studies and according to a systematic review by Kayima et al, Tanzanian populations whether urban or rural had the lowest control rates of <7%. 3 In contrast to these findings, our control rates were over twice as much and even so should be regarded as low.

This study has a number of strengths including; (i) we recruited over 1800 persons, a good number suitable for subgroup analyses, (ii) the use of standard tools which allow for comparability among studies, and (iii) we performed ECHO on a subset of individuals aware of their hypertension status and those newly diagnosed to assess for cardiovascular changes associated with hypertension. Our study had some few limitations including; (i) the recruitment process and measurements (weight, height and BP) could have potentially introduced selection bias and non-differential bias respectively, and (ii) our hypertension rates could be somewhat overestimated as we relied on a single occasion BP measurement to make the diagnosis. Future studies in this area should thoroughly assess dietary habits and salt intake and its association with excess body weight and hypertension.

8. V. Conclusions

In conclusion, our findings suggest that excess body weight is a single modifiable risk factor strongly associated with high blood pressure. Moreover, majority of persons with hypertension are undetected and thus unaware of their hypertension status. In view of this,

Figure 1.
a) Study Oversight & Definition of TermsIn January 2016, we conducted a communitybased cross-sectional survey in Kinondoni district, the largest district in Dar es Salaam city. 1831 persons who voluntarily came to the screening grounds after hearing W
Figure 2. Table 1
1
displays the socio-demographic
characteristics of 1831 recruited persons. The mean age
was 43.6 ± 16.8 years, and 63.5% were women. Primary
education was the highest level attained in 58% of
participants, married subgroup comprised the largest
proportion (58%) with regard to marital status and 4.4%
had health insurance.
b) Risk Factors for High Blood Pressure
Smoking status, alcohol intake and physical
activity was assessed among persons aged 18 years
and above (n = 1708). Regarding smoking history; 1.1%
(19/1708) were current smokers, 5.2% (89/1708) were
past smokers and 4.2% (72/1708) were passive
smokers. Current use of alcohol was reported by 11%
(188/1708) of participants, 48.4% of whom were alcohol
dependent. The mean PAVS score was 59.8
minutes/week. About 67% (1144/1708) of participants
were inactive, 18.3% (313/1708) were underactive and
14.7% (251/1708) were active. While age and BMI
differences displayed similar rates of physical inactivity,
female sex was associated with a 70% increased
chance of being inactive compared to males, (OR 1.7,
95% CI 1.3-2.3, p <0.001).
Figure 3.
hypertension and 46.7% (578/1237) were newly
diagnosed with hypertension. 20.4% (118/578) of the
new hypertensives had their BPs within the hypertensive
crisis range. During multivariate logistic analysis; age
?40, male sex and BMI ?25 were strongly associated
with a newly diagnosed hypertensive status, (OR 5.7,
Year 2016 95% CI 4.2-7.8, p<0.001; OR 1.6, 95% CI 1.1-2.2, p<0.01; and OR 2.9, 95% CI 2.1-4.1, p<0.001 respectively).
d) Echocardiography Findings
We performed echocardiograms (ECHO) on
205 newly-diagnosed and 340 persons aware of their
hypertensive status. Overall, 47% (256/545) of ECHOs
revealed features of hypertensive heart disease (HHD),
9.4% (51/545) dilated cardiomyopathy (DCM), 2.0%
(11/545) valvular heart disease (VHD) and 41.6%
(227/545) had normal findings. Of the ECHOs
performed on newly diagnosed hypertensives, 34.1%
(70/205) revealed HHD, 5.4% (11/205) DCM, 1.5%
(3/205) VHD and 59.0% (121/205) had normal findings.
D D D D ) I
(
Figure 4. Table 1 :
1
Year 2016
Volume XVI Issue III Version I
D D D D ) I
(
Characteristic n (%)
Age: mean (SD), years 43.6 (16.8)
Age groups
<18 123 (06.7%)
18-39 601 (32.8%)
40-54 615 (33.6%)
?55 492 (26.9%)
Sex
Female 1163 (63.5%)
Male 668 (36.5%)
Education level
None 130 (07.1%)
Primary 1062 (58.0%)
Secondary 515 (28.1%)
Post-Secondary 124 (06.8%)
Marital status
Single 467 (25.5%)
Married 1061 (58.0%)
Divorced 106 (05.8%)
Widowed 197 (10.7%)
Income: mean (SD), USD 128 (165)
Income category
<$1/day 177 (14.7%)
$1-2/day 210 (17.5%)
>$2-5/day 601 (50.0%)
>$5/day 213 (17.8%)
Figure 5. Table 2 :
2
Characteristic BMI category
underweight normal overweight Obese
Overall 97 (05.4%) 544 (30.3%) 499 (27.8%) 656 (36.5%)
Age group
<18 44 (50.0%)*** 39 (44.3%) 1 (01.1%)*** 4 (04.6%)***
18-39 ? 34 (05.7%) 277 (46.0%) 152 (25.3%) 138 (23.0%)
40-54 10 (01.6%)*** 120 (19.5%)*** 191 (31.1%)* 294 (48.8%)***
?55 9 (01.8%)** 108 (22.0%)*** 155 (31.5%)* 220 (44.7%)***
Sex
Female 52 (04.5%) 279 (24.4%) 285 (24.9%) 528 (46.2%)***
Male 45 (06.9%)* 265 (40.6%)*** 214 (32.9%)*** 128 (19.6%)
Key: ?: reference group ; *: p<0.05 ; **: p<0.01 ; ***: p<0.001
Figure 6. Table 3 :
3
Characteristic Blood Pressure Range
normotensive pre-hypertensive hypertensive
Overall 237 (19.2%) 422 (34.1%) 578 (46.7%)
Age group
<18 12 (60.0%) 7 (35.0%) 1 (05.0%)***
18-39 ? 149 (29.1%) 209 (40.8%) 154 (30.1%)
40-54 53 (12.5%) 145 (34.1%) 227 (53.4%)***
?55 23 (08.2%) 61 (21.8%) 196 (70.0%)***
Sex
Female 156 (20.1%) 280 (36.0%) 342 (43.9%)
Male 81 (17.6%) 142 (30.9%) 236 (51.5%)**
BMI Category
Underweight 20 (45.5%) 16 (36.4%)
Normal ? 126 (30.1%) 143 (34.2%)
Overweight 48 (13.4%) 117 (32.6%)
Obese 43 (10.3%) 146 (35.1%)
1

Appendix A

Appendix A.1

communities living especially in resource-limited settings need to be educated and continuously reminded on the importance of regular health check-up, exercising consistently and healthy eating as crucial strategies in implementing primary prevention. Furthermore, counseling on the importance of adherence to medication and life-style modification should be incorporated in all consultations.

Appendix A.2 Declarations Ethical Consideration

The study was approved by the Unit of Research of the Jakaya Kikwete Cardiac Institute (JKCI) and the permission to conduct the study was granted by the Office of the Kinondoni District Commissioner. All the participants or their legal proxy's verbally consented to participate in the screening. Participants who were in a clinically unstable state were rushed to the Mwananyamala district hospital for appropriate attention and intervention. Prescription amendments and new drug prescriptions were issued accordingly. Persons who required a further assessment and clinic enrolment were scheduled as appropriate to attend the or Mwananyamala district

Appendix A.3 Availability of Data and Materials

The final version of data set supporting the findings of this paper may be found in the Jakaya Kikwete Cardiac Institute website (www.jkci.or.tz). The corresponding author will be more than willing to email the data set to the editorial committee whenever it's needed.

Competing interest: The authors declare that they have no conflict of interest to declare.

Funding: This work was funded by the Office of the Kinondoni District Commissioner. The contents does not necessarily represent the official views of the funder and the authors take full responsibility for this manuscript.

Authors Contributions: MJ, PK, and PP made contributions in conception and design of the study. PP and PN contributed in analysis and manuscript development. PK, MA, MS, TS and MJ revised the manuscript. All authors have read, contributed to and approved the final version for publication

Appendix A.4 VI. Acknowledgement

We thank the nursing, medical, technical and supporting staff of the Jakaya Kikwete Cardiac Institute and Mwananyamala district hospital for their tireless efforts that made this study a success. We extend our gratitude to all the study participants for their willingness, tolerance and cooperation offered during the study duration. We are grateful to the office of Kinondoni District Commissioner for funding this study.

Appendix B

  1. , http://www.heart.org/HEARTORG/Conditions/HighBloodPressure/AboutHighBloodPressure/Hypertensive-Crisis_UCM_301782_Article.jsp#.VuD9yJKO6Fw American Heart Association. Hypertensive Crisis
  2. Hypertension prevalence, awareness, treatment, and control in mozambique: urban/rural gap during epidemiological transition. A Damasceno , A Azevedo , C Silva-Matos , A Prista , D Diogo , N Lunet . Hypertension 2009. 54 (1) p. .
  3. Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. A D Lopez , C D Mathers , M Ezzati , D T Jamison , Cjl Murray . Lancet 2006. 367 (9524) p. .
  4. Population based survey of chronic non-communicable diseases at gilgel gibe field research center, southwest Ethiopia. A T Muluneh , A Haileamlak , F Tessema , F Alemseged , K Woldemichael , M Asefa . Ethiop J Health Sci 2012. 22 (S) p. .
  5. seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure. A V Chobanian , G L Bakris , H R Black . Hypertension 2003. 42 p. .
  6. Epidemiological trial of hypertension in North Africa (ETHNA): an international multicentre study in Algeria, Morocco and Tunisia. C Nejjari , M Arharbi , M T Chentir , R Boujnah , O Kemmou , H Megdiche . J Hypertens 2013. 31 (1) p. .
  7. Prevalence of obesity and associated risk factors among adults in Kinondoni municipal district. G A Shayo , F M Mugusi . BMC Public Health 2011. 11 p. 365.
  8. The World Health Report 2002: reducing risks, promoting healthy life. Geneva: World Health Organization, G H Brundtland . 2002.
  9. Hypertension in Sub-Saharan Africa. J Addo , L Smeeth , Leon Da . Hypertension 2007. 50 (6) p. .
  10. Gender differences in the regulation of blood pressure. J F Reckelhoff . Hypertension 2001. 37 (5) p. .
  11. Hypertension awareness, treatment and control in Africa: a systematic review. J Kayima , R K Wanyenze , A Katamba , E Leontsini , F Nuwaha . BMC Cardiovascular Disorders august 2013. 13 p. 54.
  12. Hypertension in Sub-Saharan Africa: cross-sectional surveys in four rural and urban communities. M E Hendriks , Fwnm Wit , Mtl Roos . PLoS ONE 2012 (3) p. e32638.
  13. The high prevalence of hypertension in rural-dwelling Tanzanian older adults and the disparity between detection, treatment and control: a rule of sixths?. M J Dewhurst , F Dewhurst , W K Gray , P Chaote , G P Orega , R W Walker . J Hum Hypertens 2012. 13 (10) p. 59.
  14. Physical Activity, and Obesity. BMI Percentile Calculator for Child and Teen English Version. http://pubs.niaaa.nih.gov/publications/inscage.htm Centers for Disease Control and Prevention. Division of Nutrition, Physical Activity, and Obesity. About Adult BMI Centers for Disease Control and Prevention. Division of Nutrition (National Institute on Alcohol Abuse and Alcoholism. CAGE Questionnaire)
  15. Global burden of hypertension: analysis of worldwide data. P M Kearney , M Whelton , K Reynolds , P Muntner , P K Whelton , J He . Lancet 2005 Jan 15-21. 365 (9455) p. .
  16. Improving the prevention and management of chronic disease in low-income and middle income countries: A priority for primary health care. R Beaglehole , J Epping-Jordan , V Patel , M Chopra , S Ebrahim , M Kidd . Lancet 2008. 372 p. .
  17. Awareness, treatment and control of hypertension among the elderly living in their home in Tunisia. S Hammami , S Mehri , S Hajem , N Koubaa , M A Frih , S Kammoun . BMC Cardiovasc Disord 2011. 11 (65) p. .
  18. Guide to the Assessment of Physical Activity: Clinical and Research Applications. A Scientific Statement from the. S J Strath , L A Kaminsky , B E Ainsworth . American Heart Association. Circulation 2013. 128 p. .
  19. Prevalence, awareness, treatment and control of hypertension among slum dwellers in Nairobi. S J Van De Vijver , S O Oti , C Agyemang , G B Gomez , C Kyobutungi . J Hypertens 2013. 31 p. .
  20. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions. S S Lim , T Vos , A D Flaxman . The Lancet 1990-2010. 2010. 2012. 380 (9859) p. . (: a systematic analysis for the Global Burden of Disease Study)
  21. Status report on hypertension in Africa -Consultative review for the 6th Session of the African Union Conference of Ministers of Health on NCD's. The Pan. S V De Vijver , H Akinyi , S Oti . African Medical Journal 2013. 16 p. 38.
  22. Cardiovascular disease in the developing world and its cost-effective management. T A Gaziano . Circulation 2005. 112 (23) p. .
  23. The global cost of non-optimal blood pressure. T A Gaziano , A Bitton , S Anand , M C Weinstein . Journal of hypertension 2009. 27 (7) p. 1472.
  24. World Health Organization (WHO), www.who.int/cardiovascular_diseases/publications/global_brief_hypertension/en/ 2013. (A Global Brief on Hypertension)
  25. World Health Organization. Definition of an older or elderly person: Proposed Working Definition of an Older Person in Africa for the MDS Project, http://www.who.int/healthinfo/survey/ageingdefnolder/en/
Notes
1
© 2016 Global Journals Inc. (US) High Blood Pressure, an Epidemic Inadequately Diagnosed and Poorly Controlled: A Community-based Survey in Kinondoni District, Dar Es Salaam Tanzania
Date: 2016-01-15