Dersleri yüzünden oldukça stresli bir ruh haline sikiş hikayeleri bürünüp özel matematik dersinden önce rahatlayabilmek için amatör pornolar kendisini yatak odasına kapatan genç adam telefonundan porno resimleri açtığı porno filmini keyifle seyir ederek yatağını mobil porno okşar ruh dinlendirici olduğunu iddia ettikleri özel sex resim bir masaj salonunda çalışan genç masör hem sağlık hem de huzur sikiş için gelip masaj yaptıracak olan kadını gördüğünde porn nutku tutulur tüm gün boyu seksi lezbiyenleri sikiş dikizleyerek onları en savunmasız anlarında fotoğraflayan azılı erkek lavaboya geçerek fotoğraflara bakıp koca yarağını keyifle okşamaya başlar

GET THE APP

Epidemiology: Open Access - Knowledge of Hypertension among Ethiopian Army to the African Peace Keeping Mission
ISSN: 2161-1165

Epidemiology: Open Access
Open Access

Like us on:

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
  • Research Article   
  • Epidemiology (Sunnyvale) 2019, Vol 9(1): 369
  • DOI: 10.4172/2161-1165.1000369

Knowledge of Hypertension among Ethiopian Army to the African Peace Keeping Mission

Ayele Belachew Aschalew1* and Tadesse Guda Dube2
1Department of Public Health, Addis Ababa University College of Health Sciences, Addis Ababa, Ethiopia
2Department of Public Health, Defense University College of Health Science, Addis Ababa, Ethiopia
*Corresponding Author: Ayele Belachew Aschalew, Department of Public Health, Addis Ababa University College of Health Sciences, Addis Ababa, Ethiopia, Tel: +251 913 306792, Email: kalayeleb@gmail.com

Received: 19-Jan-2019 / Accepted Date: 18-Feb-2019 / Published Date: 28-Feb-2019 DOI: 10.4172/2161-1165.1000369

Abstract

Background: Occupational stressors, such as military deployment to peace keeping mission, if coupled with inadequate knowledge, attitude and practice related to hypertension can increase the likelihood of developing hypertension. We sought to determine the level of knowledge, attitudes and practices of Ethiopian Army to African Peace Keeping Mission.

Methods: Institution based cross sectional study was done among systematically selected 420 members of the Ethiopian Defense Force to the African peace keeping mission. Data was collected using structured questionnaire through face to face interview. Level of knowledge, attitude and practice towards hypertension were categorized using Bloom's cut-off points into good (>80%), moderate (60-80%) and poor (<60%), and association was examined using chi-square test and multinomial logistic regression.

Results: The overall knowledge of participants was poor with a mean score of 49.8% (SD ± 16), overall attitude was neutral with score of 65.1% (SD ± 16), and overall practice was fair with score of 60.5% (SD ± 16.9). Level of education was found to positively and significantly influence attitude towards preventive methods as well as preventive lifestyle practice at P<0.001.

Conclusion: The level of knowledge, attitude towards hypertension prevention as well as practice related to hypertension was low and inadequate, and can significantly raise their likelihood of developing hypertension.

Keywords: Ethiopia; Hypertension; Military; Peace keeping mission

Introduction

Hypertension is a chronic, non-communicable disease often asymptomatic disease or progresses with mild symptoms for many years until it is diagnosed or consequences of end-organ damage emerge [1]. Hypertension is a highly prevalent public health problem [2]. The contribution of hypertension to the global burden of disease has significantly increased from about 4.5 percent in 2000, to 7 percent in 2010. Moreover about 92 million disability-adjusted life years worldwide were attributable to high blood pressure in 2001, and by 2025, the number of hypertensive people is expected to increase by 60% and reach 1.56 billion people [3].

There were approximately 80 million adults with hypertension in sub-Saharan Africa in 2000 and by 2025 this figure is expected to rise to 150 million [4,5]. Hypertension is the seventh contributor to premature death in developing countries [6]. A systematic review of various studies has reported the prevalence of hypertension at 19.6% in the year 2014 in Ethiopia [7] while a prevalence of reported at 28.3% to 30.3% was reported in studies done in urban settings [8,9].

Hypertension is a well-known risk factor for many chronic diseases including cardio-cerebrovascular disease, diabetes and kidney disease [10] and a leading risk factor for mortality [11] causing a significant multifaceted social and economic burden not only on the individual patient but also on the families and society as well [12,13].

Worldwide the magnitude of hypertension is remarkably increasing [14-18] the increasing pattern was documented among military personnel [19-22]. A prevalence of 22% was reported among Brazilian Air force [23], almost three times higher than documented in the general population of 8% [24].

Comorbidities in hypertensive patients have been observed to reduce the effect of therapy and influence to quality of life [25] hence the control and prevention intervention of hypertension need to involve improving knowledge about potential risk factors, adoption of healthy life style, early diagnosis and treatment to reduce longterm cardiovascular risk.

Risk factors to hypertension are highly related with individual’s lifestyle [14] that encompasses occupational and behavioral characteristics [26-28]. A study done among Kenyan military personnel reported alcohol consumption and cigarette smoking as risk factors for hypertension. The study also documented a significant association between hypertension and participation in peace keeping missions, where 68% of subjects participated in peace missions were hypertensive compared to 36% who had never been to the missions [29].

An increased risk of hypertension among higher body mass index, male, and senior rank military personnel was also documented in USA by Brain [30]. Smoking, obesity, sedentary life-style and poor dietary intake were identified as a risk factor for high blood pressure among Nigerian Armed Forces Service men [31], and smokes cigarettes, drink alcohol, and not engaged in exercise among India military [32].

Knowledge about hypertension and adopting healthy attitude and practice related to risk factors for hypertension could reduce the likelihood of acquisition as well as development of complication of hypertension [33,34].

Methodology

A descriptive cross-sectional quantitative study was done among the Ethiopian Defense force members assigned for peace keeping mission in 2015, to assess knowledge and attitude towards hypertension and lifestyle practices. The sample size of 423 was determined assuming percentage knowledge of hypertension among army recruits to be 50% (taking 95% level of significance, 5% margin of error (d), and 10% upward adjustment for non-response rate.

Instrument

Data was collected through face to face interview using pretested structured questionnaire. There were 20 knowledge items; 1 point was given to correct response and 0 to wrong response. Level of knowledge was determined by the sum score of each item and graded in to three levels based on Bloom’s cut-off point- low level (below 12 point or 60%), moderate (12-15 points or 60%-80%), and high (above 16 point or above 80%) [35]. Attitude was learned from 15 items framed in five point likert scale with 1 given to strongly disagree to 5 strongly agree and rated as negative (below 60%), neutral (60% -79%), and positive (above 80%) [36]. Likewise, practice was measured using 10 items with correct response given 1 and 0 to incorrect response, and ranked in to three - poor (below 6 point or 60%), fair (6-8 points or 60%-80%), and good (above 8 or above 80%) [35]. Relationship between categorical variables with knowledge, attitude, and practices was measured using a chi-square test. Multivariate logistic regression model computed to establish association and significance was declared if found P<0.05 and 95% CI.

The study obtained ethical approval from the Addis Ababa University. All patients were fully informed about the purpose of the study, and verbal informed consent was obtained.

Results

The study sample consisted of 420 of which 56.8% were married, mean age was 36 (SD ± 4.5) years, and all attended formal education. Non-officer accounted for 79.5%, and 83.8% served for over ten year. Smokers accounted for 13.6% and 13.3% reported habit of drinking alcohol.

Knowledge about hypertension

Two hundred eighty (66.7%) correctly defined high blood pressure. One hundred eighty two (43.3%) correctly listed symptoms of hypertension as headache, dizziness and nausea. Ninety three (22%) did not mention any risk factor for hypertension. Combination of medication, diet and exercise was cited as appropriate management approach by 239 (57%). One hundred sixteen (27.6%) and 56% cited salt reduction and regular exercise to reduce risk of hypertension. The overall knowledge was poor with a mean score of 49.8% (sd ± 16), and only 3.3% had good knowledge, whilst 31.2% and 65.5% had moderate and poor level of knowledge related to hypertension respectively.

Attitude towards hypertension

Respondent’s agreement towards positive statement about the prevention and control of hypertension including life style modification ranged from 62.4% to 90.7% while agreement towards negative statements ranged from 11.2% to 22.2%. More importantly, 52% of respondents strongly agreed to the statement" high blood pressure is preventable", and 33% agreed to the statement "stopping smoking and alcohol helps to prevent hypertension". The overall attitude of respondents was neutral with score of 65.1% (SD ± 16). Only 16.7% had positive attitude towards hypertension preventive and control methods, whilst 33.6% and 49.8% had negative and impartial attitude.

Practice towards prevention of hypertension

Three hundred eighty eight (92.4%) ever cheeked their blood pressure, and 80% cheeked within the past thirty days. Eighty four (20%) are current smokers, 63.3% drinks alcohol, 13.6% often add extra salt to their food and 25% used to do physical exercise for 30 to 60 minutes in a typical week. The global mean practice score of participants was 60.5% (SD ± 16.9) and 22.1% had good level of practice, whilst 44% and 33.8% had fair and poor practice related to hypertension prevention.

Factors associated with knowledge towards hypertension- Knowledge level was found significantly associated with level of education at p<0.001, military rank at p<0.001, and exposed with information on lifestyle related to hypertension at p<0.001 (Table 1).

Variable < 60% N(%) 60- 80% N(%) > 80% N(%) x2 P-value
Age group          
Below 30 30(57.7) 18(34.6) 4(7.7)    
30-39 304(71.8) 74(26.1) 6(2.1)    
40-49 48(57.1) 33(39.3) 3(3.6) 11.6 0.02
Level of education          
Primary level (up to grade 8) 110(85.3) 18(14) 1(0.8)    
Secondary and above 172(59.1) 107(36.8) 12(4.1) 27.9 0.001*
Marital status          
Single 126(69.2) 47(25.8) 9(4.9)    
Married 156(65.5) 78(32.8) 4(1.7) 5.4 0.066
Service years          
Less than 10 years 44(64.7) 20(29.4) 4(5.9)    
More than 10 years 238(67.6) 105(29.8) 9(2.6) 2.1 0.34
Military rank          
Non officer 250(74.2) 80(23.7) 7(2.1)    
Officer 32(38.6) 45(54.2) 6(7.2) 93 0.000*
Information about health life style          
No 62(91) 4(5.9) 2(2.9)    
Yes 213(60.5) 127(36.1) 12(3.4) 24.9 0.001*

*Significant atp <0.05, in a test with less than 20% of cells have expected count less than 5.

Table 1: Chi-square test result to determine association between knowledge of hypertension and Socio-demographic characteristics of respondents, 2015.

On the other hand significant association was found between attitude towards hypertension preventive and control methods and level of education at P-value=0.001, and exposure to information about hypertension related lifestyle at p<0.001 (Table 2).

Variable <60% N(%) 60- 80% N(%) > 80% N(%) x2 P-value
Age group          
Below 34 43(32.8) 61(43.5) 32(23.7)    
35-44 98(35.9) 116(42.5) 59(21.6)    
45-54 1(9.1) 8(72.7) 2(18.2) 8 0.238
Level of education          
Primary level (up to grade 8) 73(39.7) 86(46.7) 25(13.6)    
Secondary and above 69(29.2) 99(41.9) 68(28.8) 29 0.001*
Marital status          
Single 64(38.8) 67(40.6) 34(20.6)    
Married 78(31.0) 115(45.6) 59(23.4) 7.88 0.28
Military rank          
Non officers 118(35.3) 151(45.2) 65(19.5)    
Officers 25(28.7) 34(39.1) 28(32.2) 7.19 0.126
Service years          
Less than 10 years 19(27.9) 37(54.4) 12(17.6)    
More than 10 years 123(34.9) 148(42.0) 81(23.0) 7.44 0.114
Information about health life style          
No 62(91) 4(5.9) 2(2.9)    
Yes 213(60.5) 127(36.1) 12(3.4) 24.9 0.001*

*Significant at p-value <0.05% in a test with less than 20% of cells have expected count less than 5.

Table 2: Chi-square test result to determine association between attitude towards prevention of hypertension and socio-demographic characteristics of respondents, 2015.

Furthermore, practice related to hypertension prevention found to significantly associate with level of education at p<0.04 (Table 3).Multinomial logistic regression shows showed that level knowledge has significant positive association with practice score of respondents for low level knowledge relative to high level knowledge, (AOR=9.39; 95%CI, 1.92-45.93) at P=0.006 when comparing poor practice to good practice, and (AOR=5.26; 95%CI, 1.51-18.31) P=0.009 when comparing fair practice to good practice. Furthermore, attitude towards prevention of hypertension has significant association with practice score of respondents, with the odds ratio of 4.6 (AOR=4.61; 95%CI, 2.1-10.1) at P=0.001 when comparing poor practice to good practice, and (AOR=2.99; 95%CI, 1.45-6.15) at P=0.001 when comparing fair practice to good practice for negative attitude relative to positive attitude. Moreover, comparison neutral attitude relative to positive attitude, significant association was established between poor practice to good practice (AOR=2.77; 95%CI, 1.34-5.7) P-value 0.006, and fair practice to good practice, (AOR=2.45; 95%CI, 1.29- 4.67) at P=0.006 (Table 4).

Variable < 60% N(%) 60- 80% N(%) > 80% N(%) x2 P-value
Age group          
Below 30 11(21.2) 26(50.0) 15(28.8)    
30-39 100(35.2) 125(44.0) 59(20.8)    
40-49 31(36.9) 32(38.1) 21(25.0) 5.4 0.24
Level of education          
Primary level (up to grade 8) 53(41.1) 55(42.6) 21(16.3)    
Secondary and above 89(30.1) 128(44.0) 74(25.4) 6.2 0.04*
Marital status          
Single 72(39.6) 72(39.6) 38(20.9)    
Married 70(29.4) 111(46.6) 57(23.9) 4.7 0.09
Military rank          
Non officers 118(35.3) 151(45.2) 65(19.5)    
Officers 3(23.1) 6(46.2) 4(30.8) 7.19 0.126
Service years          
Less than 10 years 19(27.9) 36(52.9) 13(19.1)    
More than 10 years 123(34.9) 147(41.8) 82(23.3) 2.9 0.23
Information about health life style          
No 23(33.8) 31(45.6) 14(20.6)    
Yes 119(33.8) 152(43.2) 81(23.) 0.22 0.89

* Significant at p-value <0.05% in a test with less than 20% of cells have expected count less than 5.

Table 3: Chi-square test result to determine association between practices related to hypertension prevention and socio-demographic characteristics of respondents, 2015.

   Variables P value AOR 95% confidence interval
Low level knowledge Intercept 0    
  Poor practice 0.006* 9.39 [1.92, 45.93]
  Fair practice 0.009* 5.26 [1.51, 18.31]
  Good practice . 1 .
Moderate level knowledge Intercept 0    
  Poor practice 0.15 3.28 [0.65,16.56]
  Fair practice 0.082 3.08 [0.86,10.91]
  Good practice   1  
The reference category is High level knowledge
Negative attitude Intercept 0.397    
  Poor practice 0.000* 4.61 [2.10,10.12]
  Fair practice 0.003* 2.99 [1.45,6.15]
  Good practice   1  
Neutral attitude Intercept 0.077    
  Poor practice 0.006* 2.77 [1.34,5.70]
  Fair practice 0.006* 2.45 [1.29,4.67]
  Good practice   1  

The reference category is positive attitude
* Significant association

Table 4: Multinomial logistic regression test to determine association between practice with knowledge and attitude towards prevention, 2015.

Discussion

Participants to this study showed similar life style related to hypertension with previous studies done elsewhere [29,30,32]. In this study the 65.5% of respondents found to have low level knowledge, and this is considerably lower when compared with previous studies done in a North Carolina, Iran, Mongolia and Nigeria [36-39]. The possible explanation for this discrepancy could be the difference in study setting.

In this study cumulative mean percent of attitude score was 65.1%, and two hundred nine (33.6%) has negative attitude, which is better than the study done in India [40], but worse with that found in Iran [41]. The difference could be the difference in the set of questions used to measure the attribute.

The mean practice score in this study was 60.5%, and ninety three (22.1%) had good practice towards preventive measures of hypertension. The finding is better than documented in India and Iran [38,41]. Participants to this study were in the training center where some military disciplines such as regular physical exercise, screening for hypertension, etc., may have contributed to the variation.

The significant influence of educational level on respondent’s knowledge, attitude and practice related to hypertension goes with the traditional thinking of the overall impact of education on positive living in a way that education makes people aware of health and disease. Similar finding was documented in Nigeria and Europe [32].

The positive significant relationship of participant’s knowledge with attitude as well as with practice found in this was reported in other several studies, such as in Nigeria [32]

Limitation

The study could have been more of informative if medical examination relevant to high blood pressure to records respondents’ status and relate to their level of knowledge. However, the request to do so was not accepted as it may violate the procedure of the military camp.

Conclusion

The level of knowledge, attitude towards hypertension prevention as well as practice related to hypertension was inadequate. There is a need to educate members of the peace keeping mission about modifiable lifestyle risk factors related to hypertension before departure to the mission.

References

  1. Kaplan NM, Victor RG (2010) Kaplan’s Clinical Hypertension, 10th edn. Lipincott Williams & Williams: Philadelphia.
  2. Hamet P (2000) The burden of blood pressure: where are we and where should we go? Can J Cardiol 16: 1483-1487.
  3. Lawes CM, Hoorn SV, Rodgers A (2001) International Society of Hypertension (2008) Global burden of blood pressure related disease, Lancet 371: 1513-1515.
  4. Steven VV, Hilda A, Samuel O, Ademola O, Charles A, et al. (2013) Status report on hypertension in Africa - Consultative review for the 6th Session of the African Union Conference of Ministers of Health on NCD’s. Pan Afr Med J 16: 38.
  5. Misganaw A, Mailemrariam D, Araya T, Dreisbach AW (2012) The double mortality burden among adults in Addis Ababa, Ethiopia, 2006-2009. Prev Chronic dis 2012: 1-10.
  6. Kelemu TK, Yonatan MM (2015) Prevalence of hypertension in Ethiopia: a systematic meta-analysis. Public Health Rev 36: 14-36.
  7. Awoke A, Awoke T, Alemu S, Megabiaw B (2012) Prevalence and associated factors of hypertension among adults in Gondar, Northwest Ethiopia: a community based cross-sectional study. BMC Cardiovasc Disord 12: 113.
  8. Tesfaye F, Byass P, Wall S (2009) Population based prevalence of high blood pressure among adults in Addis Ababa: uncovering a silent epidemic. BMC Cardiovasc Disord 9: 39.
  9. Chow CK, Teo KK, Rangarajan S, Islam S, Gupta R, et al. (2013) Prevalence, awareness, treatment, and control of hypertension in rural and urban communities in high-, middle-, and low-income countries. JAMA 310: 959-968.
  10. Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK, He J (2005) Global burden of hypertension: analysis of worldwide data. Lancet 365: 217-223.
  11. Alcocer L, Cueto L (2008) Hypertension, a health economics perspective. Ther Adv Cardiovasc Dis 2: 147-155.
  12. Zhang JT, Chen KP, Guan T, Zhang S, et al. (2015) Effect of aliskiren on cardiovascular outcomes in patients with prehypertension: a meta-analysis of randomized controlled trials. Drug Des Devel Ther 9: 1963-1971.
  13. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, et al. (2004) The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. National High Blood Pressure Education Program 42: 1206– 1252.
  14. Longo D, Fauci A, Kasper D, Hauser S, Jameson J, et al. (2011) Harrison Principles of internal medicine 18th edition volume II. McGraw Hill Professional, USA.
  15. WHO (2011) Noncommunicable Diseases Country Profiles. WHO press, Switzerland.
  16. Davies A (2014) Estimating the Prevalence and Awareness Rates of Hypertension in Africa: A Systematic Analysis. Plos One 9: e104300.
  17. Qureshi A, Suri MF, Kirmani J, Divani A, Mohammad Y (2005) Is prehypertension a risk factor for cardiovascular diseases?. Stroke 9: 1859-1863.
  18. Wu S, Huang Z, Yang X, Li S, Zhao H, et al. (2013) Cardiovascular events in a pre-hypertensive Chinese population: four-year follow-up study. Int J Cardiol 167: 2196-2199.
  19. Huang Y, Wang S, Cai X, Mai W, Hu Y, et al. (2013) Prehypertension and incidence of cardiovascular disease: a meta-analysis. BMC Medicine 11: 177.
  20. Kim MJ, Lim NK, Park HY (2012) Relationship between prehypertension and chronic kidney disease in middle-aged people in Korea: the Korean genome and epidemiology study. BMC Public Health 12: 960.
  21. Magliano ES, Guedes LG, Coutinho ES, Bloch KV (2013) Prevalence of arterial hypertension among Brazilian adolescents: systematic review and meta-analysis. BMC Public Health 13: 833.
  22. Wenzel D, Souza JM, Souza SB (2009) Prevalence of arterial hypertension in young military personnel and associated factors. Rev Saude 43: 789-795.
  23. Dimenäs ES, Wiklund IK, Dahlof C, Lindvall, et al. (1989) Differences in the subjective wellbeing and symptoms of normotensive, borderline hypertensives and hypertensives. J Hypertens 7: 885-890.
  24. Kivimäki M, Virtanen M, Elovainio M, Kouvonen A, Väänänen A, et al. (2006) Work stress in the etiology of coronary heart disease—a meta-analysis. Scand J Work Environ Health 32: 431-442.
  25. Lee S, Colditz G, Berkman L, Kawachi I (2002) A prospective study of job strain and coronary heart disease in US women. Int J Epidemiol 31: 1147-1153.
  26. Bosma H, Peter R, Siegrist J, Marmot M (1988) Two alternative job stress models and the risk of coronary heart disease. Am J Public Health 88: 68-74.
  27. Mundan V, Muiva M, Kimani S (2013) Physiological, Behavioral, and Dietary Characteristics Associated with Hypertension among Kenyan Defence Forces. ISRN Preventive Medicine ID: 740143.
  28. Smoley BA, Smith NL, Runkle GP (2004) Hypertension in a Population of Active Duty Service Members. J Am Board Fam Med 21: 504-11.
  29.  Jibril M (2012) Knowledge of and Attitude to Cardiovascular Disease Risk Factors Among Members of The Nigerian Armed Forces. World J Public Health Sciences 1: 23.
  30. Sougat R (2011) Prevalence of prehypertension in young military adults & its association with overweight & dyslipidaemia. Indian J Med Res 134: 162-167.
  31. Tedesco MA, Di Salvo G, Caputo S (2001) Educational level and hypertension: how socioeconomic differences condition health care. J Hum Hypertens 15: 727-731.
  32. WHO (2010) Global status report on noncommunicable diseases 2010. World health Organisation.
  33. Wanyama SP, Marco S, Kariuki MM (2015) Knowledge, attitude and practice of eye diseases in children among pediatricians in Kenya. Journal of Ophthalmology of Eastern Central and Southern Africa 19: 1.
  34. Abeje (2016) Likert Scales, Dane Bertram, CPSC 681 – Topic Report. BMC Health Services Research 16: 122.
  35. Anthony J, Viera M, Lauren W, Cohen C, Madeline M, et al. (2008) High Blood Pressure Knowledge Among Primary Care Patients with Known Hypertension: A North Carolina Family Medicine Research Network (NC-FM-RN) Study. JABFM 24: 300-308.
  36. Sabouhi F, Babaee S, Naji H, Zadeh AH (2011) Knowledge, awareness, attitudes and practice about hypertension in hypertensive patients referring to public health care centers in Khoor & Biabanak Iran. Iran J Nurs Midwifery Res 16: 34-40.
  37. Demaio AR, Otgontuya D, de Courten M, Bygbjerg C, Enkhtuya P (2013) Hypertension and hypertension-related disease in Mongolia; findings of a national knowledge, attitudes and practices study. BMC Public Health 13: 1471-2458.
  38. Olusegun ABT, Olufemi OD, Oladimeji GO, Ahmed KJ, Segun MA, et al. (2010) Impact of Patients’ Knowledge, Attitude and Practices on Hypertension on Compliance with Antihypertensive Drugs in a Resource-poor Setting. TAF Prev Med Bull 9: 87-92.
  39. Hemant M, Kazi YF, Velhal GD (2012) Assessment of KAP, Risk Factors and Associated Co-Morbidities in Hypertensive Patients. IOSR Journal of Dental and Medical Sciences 1: 6-14.
  40. Awotidebe T, Adedoyin R, Rasaq W, Adeyeye V, Mbada C, et al. (2014) Knowledge, attitude and Practice of Exercise for blood pressure control: A cross-sectional survey. Journal of Exercise Science and Physiotherapy 10: 1-10

Citation: Aschalew AB, Dube TG (2019) Knowledge of Hypertension among Ethiopian Army to the African Peace Keeping Mission. Epidemiology (Sunnyvale) 9: 369. DOI: 10.4172/2161-1165.1000369

Copyright: © 2019 Aschalew AB, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Top