CAJGH_Template New articles in this journal are licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Prevalence of hypertension and associated factors in Jalalabad City, Nangarhar Province, Afghanistan Khwaja Mir Islam Saeed Afghanistan National Public Health Institute, Ministry of Public Health, Kabul, Afghanistan Vol. 4, No. 1 (2015) | ISSN 2166-7403 (online) DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx http://creativecommons.org/licenses/by/3.0/us/ SAEED This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu Abstract Background: Hypertension affects an estimated one billion people, worldwide. It is a public health challenge characterized by increased morbidity, mortality, as well as cost to the community and health systems. The goal of this study is to determine the prevalence of hypertension and characterize associated risk factors in an urban setting in Afghanistan. Methods: A cross-sectional study of adults aged 25-65 years was conducted in Jalalabad city from May to June 2013 using the World Health Organization STEPwise approach to surveillance (WHO STEPS). A multistage technique was used to enroll 1,200 participants in the study. Demographic and socio-economic variables were collected via individual interviews using the WHO STEPS survey, after which blood samples were collected using a locally developed standard operating procedure (SOP). Bivariate and multivariable analyses were performed to explore the association between hypertension and associated factors. Results: A total of 1,180 adults (40% males, 60% females) of 25-65 years of age were surveyed. The response rate was 98.5 % and the prevalence of hypertension was 28.4. Independent risk factors of hypertension were found to be: age ≥ 50 (AOR = 3.42, 95% CI: 2.50 – 4.76); sex (AOR = 0.58, 95% CI: 0.38 – 0.88); obesity (AOR = 2.1, 95% CI 1.49 – 2.94); and diabetes (AOR = 1.75, 95% CI: 1.10 – 2.79). Independent protective factors were physically demanding occupations (AOR = 0.55, 95% CI: 0.36 – 0.85); physical activity itself (AOR = 0.69, 95% CI: 0.47 – 0.99) and consuming more vegetables (AOR = 0.59, 95% CI: 0.38 – 0.93). Conclusion: This urban setting in Afghanistan evidenced a high prevalence of hypertension; age, obesity, and diabetes were identified as risk factors and physical activity and consuming more vegetables were protective. These findings have implications for future public health intervention and clinical efforts. Keywords: prevalence, associated factors, hypertension, urban, Afghanistan Prevalence of hypertension and associated factors in Jalalabad City, Nangarhar Province, Afghanistan Khwaja Mir Islam Saeed Afghanistan National Public Health Institute, Ministry of Public Health, Kabul, Afghanistan Research Hypertension (HTN) is a global public health problem, affecting approximately one billion people worldwide, a figure that is predicted to increase to 1.5 billion by the year 2025.1 The global prevalence of HTN is approximately 30% among adults; in developed countries, prevalence is beginning to stabilize or decrease, while in the developing regions, proportions continue to rise (between 20-50%).2,3 HTN is a global problem with some of the commen risk factors reported in the litearature being genetics, family history, advanced age, race, obesity, physical inactivity, lifestyle, cigarette smoking, excessive salt and alcohol intake, and dietary habits.4-7 HTN prevalence has been reported to be 15- 35% in Asia,8 20-33% in Africa,9 18-22% in the USA,10 44% in some European countries,10 44% in Turkey,4 26.3% in Egypt,11 32.2% in India,12 and 32.1% in Qatar.13 In the Eastern Mediterranean Region (EMR), the prevalence of HTN has been estimated to be 29%, affecting approximately 125 million individuals.14 In Afghanistan, due to years of war and conflict, few studies have been conducted to estimate the burden of hypertension. According to our previously published study of chronic disease risk factors in Kabul, in a sample http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx CENTRAL ASIAN JOURNAL OF GLOBAL HEALTH This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu of individuals aged 40+, the overall prevalence of obesity, HTN, and diabetes mellitus was 31.2%, 46%, and 13.3%, respectively.15 However in neighboring countries such as Iran, the overall prevalence of HTN in the adult population was 23%, with 50% of those aged >55 years affected.16 Previously published research from Pakistan reported an overall prevalence of HTN of 26% which diffiered by 34% among males and 24% in females.17 According to anecdotal reports from clinicians in Kabul, the number of people with HTN is increasing. In addition, the recent Afghan Mortality Survey (AMS 2010) survey indicated that 35% of all-cause mortality in Afghanistan is due to non-communicable disease, particularly cardiovascular disease and cancer.18 As of 2014, Afghanistan suffers from lack of reliable information on the burden of non-communicable disease, including HTN, due to the fact that high priority is given to the investigation of infectious diseases. The purpose of this study is to estimate the burden of HTN and associated risk factors among the adult population in Afghanistan’s eastern city, Jalalabad. This information is essential to provide evidence to support strategic decisions such as resource allocation and public health interventions to reduce risk factors and decrease the burden of disease. Methods and Materials We conducted a cross-sectional study using the World Health Organization STEPwise approach to surveillance (WHO STEPS)19 to estimate the prevalence and factors for non-communicable diseases in Jalalabad city, Afghanistan. STEPS was initiated by the WHO to establish the surveillance of risk factors for non- communicable diseases. The survey tool collects information on behavioral, physical and biochemical measurements as a part of the core, expanded, and optional modules.19 Each country can use and modify the modules and steps based on their needs. Setting Jalalabad is a city in the Nangarhar province on the eastern border of Afghanistan. Five districts were selected for assessment while one was excluded due to safety concerns. Inclusion criteria included: ages 25-64 (adult population, as outlined in WHO survey tool), city residents during study period, and consent to participate. Exclusion criteria included: refusal to participate and temporary residency. In addition, all five districts were classified into clusters, sub-clusters, target areas, and then households. In the series of households, every third household and one eligible adult in each household was selected for research assessment. The response rate was 98.5% with a 1.5% refusal to participate. Temporary residents (less than six months) and those living in institutionalized settings along with unsafe areas were excluded from the survey. We excluded temporary residents because our goal was to obtain a reliable data about permanent residents, not migrant populations. Population Over 60% of the participants were female. Thus, we adjusted for sex in our analyses. After informing the community representatives, we approached all four clusters (A, B, C, D) and 20 sub-clusters of EPI, including five city districts, to obtain the target population. Our primary sampling unit (PSU) was sub- clusters, secondary sampling units (SSU) were streets/areas, tertiary sampling units (TSU) were households, and ultimate sampling units (USU) were respondents more than 25 years of age in the household. The interviewer was instructed to find a the famous masjid as a fixed landmark or a very populated street within the boundaries of the selected location and following the bottle rotating rule to proceed to series of households. At last level random selection was carried out by writing the name of target members on a separate piece of paper and then drawing the names. http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx SAEED This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu Measures As mentioned above, the WHO STEPS was used to collect demographic, socio-economic, clinical, and behavioral data via face-to-face interviews. Weighing scales and tension tape were used to measure body weight and height. A body mass index (BMI, hereafter reported without units) ≥ 30 kg/m2 were considered as obese, 25-29.9 was considered as overweight, and 18.5-24.9 was considered normal weight.20 A waist circumference ≥ 94 cm for men and ≥80 cm for women was considered as central obesity.21 Cuff type sphygmomanometers were used to measure systolic and diastolic blood pressure twice with five minutes between each measurement at a sitting or lying position by our trained surveyors. Systolic blood pressure levels ≥ 140 mmHg and diastolic pressure levels ≥ 90 mmHg were considered hypertensive.22 HTN in this study was defined as having a previous diagnosis of HTN or having a BP of HTN status. Blood samples were collected and processed by lab technicians under supervision of lab coordinator. After shipment of samples to the Central Public Health Laboratory (CPHL) in Kabul, they were stored at -80°C until glucose measurement was completed. Close monitoring of all study steps by core group of investigator was implemented to enhance quality of data at all research stages. The study protocol was approved by institutional review board (IRB) at the ministry of public health, Afghanistan. Informed consent was provided by all study participants. Statistical Considerations Data entry was performed using Epi Info version 3.5.1.23 Analyses were performed using IBM SPSS software version 20.24 As data regarding risk factor prevalence in this province were not available, we assumed the highest prevalence and 95% confidence interval and band of error of 5%. To balance considerations of non-response rate, cost, resources, and time without compromising the representativeness of the sample, a two-phase cluster sampling technique was used. The sample size was calculated to be able to determine the effect of risk factors on non-communicable diseases. The resulting sample size was 1,200. Data were collected May-June 2013. Participants with missing data for blood pressure were excluded from the final analysis, which incorporated 1,180 participants. Pregnant women were also excluded from obesity-related analyses. Logistic regression was used to examine the association of relevant variables adusting for all other vaiables and to calculate the adjusted odds ratio (AOR). Results Descriptive Analysis: The average age this sample was 39.16 ± 11.5 years. The overall prevalence of HTN was 28.4% among age group of 25-65 years. Mean systolic blood pressure and standard deviation (SD) was 122 ± 20 mmHg and ranged from 70 to 220 mmHg. Mean diastolic blood pressure was 79 ± 13 mmHg and ranged from 40 to 130 mmHg. Overall, 4% of hypertensive participants were previously diagnosed or were under treatment for HTN, which is very low and could be due to latent HTN or asymptomatic HTN. More than half (66.9%) were illiterate and 66.2% had income of less than 10,000 AFN (200USD) per month (Refer to Table 1 for details on demographic variables). Table 1: Participant characteristics among those surveyed using the WHO STEPS in Jalalabad, Nangarhar, Afghanistan The mean height, weight and waist circumference were 161.4 cm, 69.3 Kg and 85.4 cm respectively. The mean and SD of body mass index was http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx CENTRAL ASIAN JOURNAL OF GLOBAL HEALTH This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu 26.8 ± 6.8 Kg/m2. Descriptive statistics demonstrated that 7.6% of respondents were current smoker and on average they smoked 12 cigarettes daily. 13.3% were mouth snuff users which are almost double of cigarettes smoker. Around 54% of study participants were using solid oil in their kitchen for cooking. As we had data on number of days per week that research participants consumed fruit (average number of fruit servings per day), these data were categorized dichotomous by cut of three days per week. Data shows 65% of participants were consuming fresh fruits less than three days per week as compared to 27% who were consuming fruits more than three days per week. These variables have been described in Table 2. Table 2: Distribution of behavioral risk factors among those surveyed using the WHO STEPS in Jalalabad, Nangarhar, Afghanistan The study demonstrates that 32% of respondents were employed at jobs that required high level of physical activity and 49% moderate physical activity. Farmers, workers and business were categorized as high physical work and the office related jobs categorized low physical group. The proportions of pathophysiological factors potentially associated with HTN were diabetes (11%), overweight (30%), obesity (23%), and central obesity (50%). The biochemical measurements findings shows the mean and SD total triglycerides, cholesterol, HDL, LDL and fasting blood sugar were 187.5 ± 76.5, 198.5 ± 42, 39.16 ± 8, 122.3 ± 41.6, and 92.3 ± 39.5 mg/DL, respectively. Inferential Analysis: According to bivariate analysis, hypertensive status increased incrementally with age with highest prevalence in age group of 45-55 years old (Table 3). Table 3: Bivariate analysis of bio demographic and socio- economic factors and hypertension among those surveyed using the WHO STEPS in Jalalabad, Nangarhar, Afghanistan There was a significant association between HTN and sex; females were two times more likely to be affected by HTN than males. In terms of education status, those who were illiterate were 1.3 times (95% CI: 1.01 – 1.76) at greater risk for developing HTN. We found significant associations between the level of income and proxies of physical activities with hypertension. Smoking habits, mouth snuff use and diet were associated with HTN but it was not statistically significant. Overweight and obesity were significantly associated with HTN (overweight OR = 2.52, 95% CI: 1.28 – 4.98), (obesity OR = 4.55, 95% CI: 2.30 – 8.99). Those who were HTN had 2.32 (95% CI: 1.61 – 3.36) times higher odds of being diabetic compared with normal blood pressure. We did not find any significant relationship between level of blood lipids and HTN (Table 4). Table 4: Bivariate analysis of pathophysiologic factors and hypertension among those surveyed using the WHO STEPS in Jalalabad, Nangarhar, Afghanistan Multivariate analysis (Table 5) demonstrated that older age (AOR = 3.42, 95% CI: 2.50 – 4.76), sex (AOR = 0.58, 95% CI: 0.38 – 0.88), physically demanding jobs (AOR = 0.55, 95% CI: 0.36 – 0.85), general obesity (AOR = 2.1, 95% CI: 2.11 – 2.94), diabetic status (AOR = 1.75, 95% CI: 1.10 – 2.97), physical activity (AOR = 0.69, 95% CI: 0.47 – 0.99), and consuming more vegetables (AOR = 0.38, 95% CI: 0.38 – 0.93) were independently associated with HTN. Sex was not associated with HTN. http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx SAEED This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu Table 5: Multivariable analysis of risk factors and hypertension among those surveyed using the WHO STEPS in Jalalabad, Nangarhar, Afghanistan Discussion This is one of the few published studies on HTN prevalence in Afghanistan. Our findings suggest that HTN, which affected one third of this sample, is a growing public health challenge in the urban setting of Jalalabad. However, comparing with other regions, it was lower than in Kabul, the capital of the country.15-17 Almost 60% of the study participants were female compare to 49% in general population. The main reason for this difference was employment of men outside the house during day time and not available for study assessment. Females were at higher risk of HTN, a finding that other investigations support.17,25 This disparity may be explained by females engaging in less physical activities at home or evidencing higher proportions of obesity; however additional studies are needed to test this hypothesis. Health care systems should be strengthened so they have the capacity for early detection and the means for effective treatment of those affected with HTN. Results shows 7.6% of respondents were smoking currently daily while double of that were mouth snuff users. It could be due to low cost of snuff as compare to cigarettes. The saturated (solid) ghee for kitchen considered a risk factor for HTN and obesity while the unsaturated (liquid) ghee was considered to have lower risk. Physical activity and diet rich in vegetables were protective factors against HTN in this study. These findings have been corroborated by other authors exploring hypertensive disease in various parts of the world.13,26 In addition, obesity and diabetes were found to be the independent risk factors for HTN in this study, which is supported by previously published studies.27-29 Based on this study, a baseline understanding of HTN prevalence in the region could be established for Jalalabad city, while further studies and public health programs can be established to compare rates in other geographic settings and evaluate interventions. Screening individuals over the age of 40, particularly for females, is recommended based on findings of this study for urban settings of Afghanistan. Policy changes are essential to reduce risk of HTN in various populations within Afghanistan, including public education to improve dietary habits and enhance physical activity. Furthermore, prevention strategies should focus on risk factors for metabolic syndrome, such as obesity and diabetes. Due to the government’s focus on communicable diseases, lesser emphasis is given to non- communicable disease such as HTN.30 Recently, the national strategy for non-communicable diseases has been finalized in the country.31 Therefore, prevention and control of HTN needs political will, combined with community support and behavioral change on the part of the individuals and their families. Competing interests The author declares that he has no competing interests. Acknowledgement I would like to thank Afghan National Public Health Institute at Ministry of Public Health and World Health Organization for technical and financial support as well as surveillance staff for data collection and management in the field. http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx CENTRAL ASIAN JOURNAL OF GLOBAL HEALTH This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu References 1. Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK, He J. Global burden of hypertension: Analysis of worldwide data. Lancet. 2005;365(9455):217-223. 2. Mohan V, Seedat YK, Pradeepa R. The rising burden of diabetes and hypertension in southeast asian and african regions: Need for effective strategies for prevention and control in primary health care settings. Int J Hypertens. 2013. 3. Medscape Cardiology. Hypertension, but not "prehypertension," increases stroke risk: Global prevalence of hypertension may be close to 30%. 2004; http://www.medscape.com/viewarticle/471536_8 4. Erem C, Hacihasanoglu A, Kocak M, Deger O, Topbas M. Prevalence of prehypertension and hypertension and associated risk factors among Turkish adults: Trabzon Hypertension Study. J Public Health (Oxf). 2009;31(1):47-58. 5. Fauci AS, Braunwald E, Kasper DL, et al. Harrison's principles of internal medicine. 17th ed: The McGraw-Hill Companies; 2008. 6. The American Heart Association. Factors that contribute to high blood pressure. http://www.americanheart.org/presenter.jhtml?identifier=4650 . 7. World Health Organization. A global brief on hypertension: Silent killer, global public health crisis. 2013; http://apps.who.int/iris/bitstream/10665/79059/1/WHO_DCO_ WHD_2013.2_eng.pdf?ua=1. 8. Singh RB, Suh IL, Singh VP, et al. Hypertension and stroke in Asia: prevalence, control and strategies in developing countries for prevention. J Hum Hypertens. 2000;14(10- 11):749-763. 9. Unwin N, Setel P, Rashid S, et al. Noncommunicable diseases in sub-Saharan Africa: Where do they feature in the health research agenda? Bull World Health Organ. 2001;79(10):947-953. 10. Wolf-Maier K, Cooper RS, Banegas JR, et al. Hypertension prevalence and blood pressure levels in 6 European countries, Canada, and the United States. JAMA. 2003;289(18):2363- 2369. 11. Ibrahim MM, Rizk H, Appel LJ, et al. Hypertension prevalence, awareness, treatment, and control in Egypt. Results from the Egyptian National Hypertension Project (NHP). NHP Investigative Team. Hypertension. 1995;26(6 Pt 1):886-890. 12. Puavilai W, Laorugpongse D, Prompongsa S, et al. Prevalence and some important risk factors of hypertension in Ban Paew District, second report. J Med Assoc Thai. 2011;94(9):1069-1076. 13. Bener A, Al-Suwaidi J, Al-Jaber K, Al-Marri S, Dagash MH, Elbagi IE. The prevalence of hypertension and its associated risk factors in a newly developed country. Saudi Med J. 2004;25(7):918-922. 14. World Health Organization. Non-communicable diseases: Hypertension. 2011; http://www.emro.who.int/ncd/hypertension.htm. 15. Saeed KMI. Prevalence of risk factors for non- communicable diseases in the adult population of urban areas in Kabul City, Afghanistan. CAJGH. 2013;2(2). 16. Haghdoost AK, Behnam Sadeghirad B, Rezazadehkermani M. Epidemiology and heterogeneity of hypertension in Iran: A systematic review. Arch Iranian Med. 2008;11(4):444-452. 17. Safdar S, Omair A, Faisal U, Hasan H. Prevalence of hypertension in a low income settlement of Karachi, Pakistan. J Pak Med Assoc. 2004;54(10):506-509. 18. Afghan Public Health Institute Ministry of Public Health (APHI/MoPH) [Afghanistan], Central Statistics Organization (CSO) [Afghanistan], ICF Macro IIoHMRII, [Egypt] WHOROftEMWE. Afghanistan Mortality Survey 2010. Maryland, USA: Calverton; 2011. 19. Bonita R, deCourten M, Dwyer T, K. J, Winkelmann R. Surveillance of risk factors for non-communicable disease: the WHO STEPwise approach. Geneva: World Health Organization;2002. 20. World Health Organization. Obesity: Preventing and managing the global epidemic; report of a WHO consultation. Geneva: World Health Organization;2000. 21. International Diabetes Federation. The IDF consensus worldwide definitions of the metabolic symdrome. 2006; http://www.idf.org/webdata/docs/IDF_Meta_def_final.pdf. 22. Whitworth JA, World Health Organization, International Society of Hypertension Writing Group. 2003 World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension. J Hypertens. 2003;21(11):1983-1992. 23. Epi Info [computer program]. Version 3.5.12008. 24. IBM SPSS Statistics for Windows [computer program]. Version 20.0. Armonk, NY2011. 25. Yoon SS, Burt V, Louis T, Carroll MD. Hypertension among adults in the United States, 2009–2010. NCHS data brief, no 107. 2012; Hyattsville, MD. http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx http://www.medscape.com/viewarticle/471536_8 http://www.americanheart.org/presenter.jhtml?identifier=4650 http://www.americanheart.org/presenter.jhtml?identifier=4650 http://apps.who.int/iris/bitstream/10665/79059/1/WHO_DCO_WHD_2013.2_eng.pdf?ua=1 http://apps.who.int/iris/bitstream/10665/79059/1/WHO_DCO_WHD_2013.2_eng.pdf?ua=1 http://www.emro.who.int/ncd/hypertension.htm http://www.idf.org/webdata/docs/IDF_Meta_def_final.pdf SAEED This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu 26. Gudina EK, Michael Y, Assegid S. Prevalence of hypertension and its risk factors in southwest Ethiopia: A hospital-based cross-sectional survey. Integr Blood Press Control. 2013;6:111-117. 27. Yadav S, Boddula R, Genitta G, et al. Prevalence of prehypertension, hypertension and cardiovascular risk factors in a Belarus urban population. Indian J Med Res. 2008;128(6):Indian J Med Res. 28. Pooja YM. Prevalence of hypertension and its determinants in an urban area of Uttarakhand. AJBPS. 2013;3(21):12-16. 29. Prabakaran J, Vijayalakshmi N, VenkataRao E. Prevalence of hypertension among urban adult population (25-64 years) of Nellore, India. Int J Res Dev Health. 2013;1(2). 30. The World Bank. NCDs policy brief - Afghanistan. 2011; http://siteresources.worldbank.org/SOUTHASIAEXT/Resources/ 223546-1296680097256/7707437- 1296680114157/NCD_AF_Policy_Feb_2011.pdf. 31. Ministry of Public Health Afghanistan. National strategy for prevention and control of noncommunicable diseases (NCDs) 2013-2018. 2013; http://www.iccp- portal.org/sites/default/files/plans/NCDStrategy_Draft_Final_fro m%20Af%20MoH.pdf. http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx http://siteresources.worldbank.org/SOUTHASIAEXT/Resources/223546-1296680097256/7707437-1296680114157/NCD_AF_Policy_Feb_2011.pdf http://siteresources.worldbank.org/SOUTHASIAEXT/Resources/223546-1296680097256/7707437-1296680114157/NCD_AF_Policy_Feb_2011.pdf http://siteresources.worldbank.org/SOUTHASIAEXT/Resources/223546-1296680097256/7707437-1296680114157/NCD_AF_Policy_Feb_2011.pdf http://www.iccp-portal.org/sites/default/files/plans/NCDStrategy_Draft_Final_from%20Af%20MoH.pdf http://www.iccp-portal.org/sites/default/files/plans/NCDStrategy_Draft_Final_from%20Af%20MoH.pdf http://www.iccp-portal.org/sites/default/files/plans/NCDStrategy_Draft_Final_from%20Af%20MoH.pdf SAEED This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu Table 1: Participant characteristics among those surveyed using the WHO STEPS in Jalalabad, Nangarhar, Afghanistan Variables Categories Un-weighted Weighted N % N % Age 25 - 34 445 37.7 450 38.2 35 - 44 305 25.8 281 23.9 45 - 54 207 17.5 211 17.9 54 and over 128 10.8 144 12.3 Missing 95 8.1 91 7.7 Sex Female 579 49.1 715 60.6 Male 600 50.9 465 39.4 Level of education Illiterate 841 71.3 779 66.9 Primary/Unofficial Education 140 11.9 163 13.8 Secondary School 135 11.4 158 13.4 University and more 53 4.5 65 5.5 Missing 11 0.9 13 1.1 Residence District 1 176 14.9 196 16.7 District 2 163 13.8 138 11.8 District 3 299 25.3 275 23.3 District 4 302 25.6 354 30.1 District 5 240 20.3 214 18.1 Work status Official Employee 109 9.2 131 11.2 Business 78 6.6 101 8.6 Farmer/worker 222 18.8 287 24.5 Homemaker 632 53.6 506 43.2 http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx SAEED This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu Unable to work/retired 80 6.8 102 8.7 Refused 54 4.6 45 3.9 Missing 5 0.4 5 0.4 Monthly income (Afghanis) ≤ 10,000 698 59.2 736 62.5 10,000 – 20,000 41 3.5 42 3.6 ≥ 20,000 42 3.6 34 2.9 Refused 398 33.7 363 30.9 Missing 1 0.1 1 0.1 Marital status Single 88 7.5 95 8.1 Married 1,039 88.1 1,036 88 Widow/widower 44 3.7 38 3.2 Refused 9 0.8 8 0.7 http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx CENTRAL ASIAN JOURNAL OF GLOBAL HEALTH This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu Table 2: Frequency distribution of behavior risk factors of those surveyed using the WHO STEPS in Jalalabad, Nangarhar, Afghanistan Variables Categories Female (%) Male (%) Total (%) Smoking status* No 535 (51.3) 507 (48.7) 1,042 (92%) Yes 1 (1.1) 89 (98.9) 92 (8.0) Smoking duration in years < 10 years 0 (0.0) 58 (100.0) 58 (43.3) 10 – 20 years 3 (6.1) 46 (93.9) 49 (36.6) > 20 years 0 (0.0) 27 (100.0) 27 (20.1) Mouth snuff use* No 536 (54.6) 446 (45.4) 982 (86.2) Yes 3 (1.9) 154 (98.1) 157 (13.8) Fruit servings consumed in days per week* ≤ 3 days 399 (52.2) 366 (47.8) 765 (70.2) > 3 days 143 (44.1) 181 (55.9) 324 (29.8) Vegetable servings consumed in days per week* ≤ 3 days 150 (65.2) 80 (34.8) 230 (19.7) > 3 days 418 (44.7) 517 (55.3) 935 (80.3) Type of kitchen oil used* Liquid 365 (77.8) 104 (22.2) 469 (42.1) Solid 170 (26.4) 475 (73.6) 645 (57.9) Vigorous physical activity* No 305 (40.6) 446 (59.4) 751 (66.8) Yes 223 (59.6) 151 (40.4) 374 (33.2) Moderate physical activity* No 190 (44.2) 240 (55.8) 430 (42.4) Yes 326 (55.9) 257 (44.1) 583 (57.6) Pedal or bicycle for 10 minutes daily* No 498 (67.1) 244 (32.9) 742 (66.5) Yes 23 (6.1) 351 (93.9) 374 (33.5) Sitting in hours per day http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx SAEED This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu ≤ 3 hours 296 (45.7) 352 (54.3) 648 (64.9) > 3 hours 145 (41.3) 206 (58.7) 351 (35.1) Note. *marks a significant difference between males and females p < 0.05 http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx CENTRAL ASIAN JOURNAL OF GLOBAL HEALTH This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu Table 3: Bivariate analysis of bio demographic and socio-economic factors and hypertension among those surveyed using the WHO STEPS in Jalalabad, Nangarhar, Afghanistan Variables Categories Hypertensive Normotensive Odds Ratio 95% CI Age 25 - 34 72 (16.0) 379 (84.0) 1 Reference 35 - 44 85 (30.1) 197 (69.9) 2.28 1.59 - 3.26 45 - 54 97 (46.0) 114 (54.0) 4.46 3.08 - 6.46 55 and over 62 (43.1) 82 (56.9) 4 2.64 - 6.06 Sex Female 207 (35.7) 373 (64.3) 1 Reference Male 128 (21.3) 472 (78.7) 2.05 1.58 - 2.65 Level of education Illiterate 237 (30.3) 546 (69.7) 1 Reference Literate 94 (24.5) 289 (75.5) 1.33 1.01 - 1.76 Monthly income (Afghanis) ≤ 10,000 192 (26.1) 544 (73.9) 1 Reference > 10,000 34 (44.7) 42 (55.3) 0.44 0.27 - 0.70 Smoking No 289 (27.7) 754 (72.3) 1 Reference Yes 19 (21.1) 71 (78.9) 1.43 0.85 - 2.42 Fruit servings consumed in days per week ≤ 3 days 214 (28.0) 551 (72.0) 1 Reference > 3 days 88 (27.2) 236 (72.8) 1.04 0.78 - 1.40 Vegetable servings consumed days per week ≤ 3 days 67 (29.1) 163 (70.9) 1 Reference > 3 days 264 (28.2) 671 (71.8) 1.04 0.76 - 1.44 Type of kitchen oil Liquid 156 (33.3) 313 (66.7) 1 Reference Solid 156 (24.2) 489 (75.8) 1.76 1.31 - 2.37 Vigorous physical activity http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx SAEED This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu No 231 (30.8) 520 (69.2) 1 Reference Yes 75 (20.1) 298 (79.9) 1.04 0.78 - 1.40 Moderate physical activity No 145 (33.7) 285 (66.3) 1 Reference Yes 133 (22.8) 450 (77.2) 1.72 1.30 - 2.27 Sitting in hours per day ≤ 3 hours 164 (25.3) 483 (74.7) 1 Reference > 3 hours 113 (32.1) 239 (67.9) 0.72 0.54 - 0.95 http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx CENTRAL ASIAN JOURNAL OF GLOBAL HEALTH This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu Table 4: Bivariate analysis of pathophysiologic factors and hypertension among those surveyed using the WHO STEPS in Jalalabad, Nangarhar, Afghanistan Variables Categories Hypertensive Normal Odds Ratio 95% CI Basic mass index Underweight 11 (14.3) 66 (85.7) 1 Reference Normal weight 74 (18.9) 317 (81.1) 1.4 0.70 - 2.79 Overweight 105 (29.6) 250 (70.4) 2.52 1.28 - 4.98 Obese 119 (43.1) 157 (56.9) 4.55 2.30 - 8.99 Central obesity No 86 (19.1) 365 (80.9) 1 Reference Yes 214 (35.7) 385 (64.3) 0.42 0.32 - 0.57 Diabetes mellitus Diabetic 61 (45.5) 73 (54.5) 1 Reference No diabetic 270 (26.4) 752 (73.6) 2.32 1.61 - 3.36 Total cholesterol <190 mg/dL 142 (26.1) 402 (73.9) 1 Reference ≥190 mg/dL 189 (30.9) 422 (69.1) 0.8 0.61 - 1.02 Low density lipoprotein (LDL) <100 mg/dL 87 (30.9) 195 (69.1) 1 Reference ≥100 mg/dL 244 (27.9) 629 (72.1) 1.15 0.86 - 1.54 High density lipoprotein (HDL) borderline 40 mg/dL for male and 50mg/dL for female <40 and 50mg/dL 264 (28.5) 661 (71.5) 1 Reference ≥40 and 50mg/dL 70 (27.6) 184 (72.40) 1.05 0.77 - 1.43 Triglycerides <150 mg/dL 95 (26.2) 267 (73.8) 1 Reference ≥150 mg/dL 236 (29.8) 557 (70.2) 0.84 0.63 - 1.11 http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx SAEED This work is licensed under a Creative Commons Attribution 4.0 United States License. This journal is published by the University Library System of the University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press. Central Asian Journal of Global Health Volume 4, No. 1 (2015) | ISSN 2166-7403 (online) | DOI 10.5195/cajgh.2015.134 | http://cajgh.pitt.edu Table 5: Multivariable analysis of risk factors and hypertension among those surveyed using the WHO STEPS in Jalalabad, Nangarhar, Afghanistan Variables Categories Adjusted Odds Ratio 95% CI p-value Age ≤ 40 years 1 Reference - > 40 years 3.42 2.50 - 4.76 <0.01 Sex Female 1 Reference - Male 0.58 0.38 - 0.88 <0.05 Job nature Non-physical 1 Reference - Physical 0.55 0.36 - 0.85 <0.01 Central obesity BMI < 30 1 Reference - BMI ≥ 30 2.1 1.49 - 2.94 < 0.01 Diabetes mellitus No 1 Reference - Yes 1.75 1.10 - 2.79 < 0.05 Physical activity No 1 Reference - Yes 0.69 0.47 - 0.99 < 0.05 Vegetable servings consumed in days per week ≤ 3 days 1 Reference - > 3 days 0.59 0.38 - 0.93 < 0.05 http://www.library.pitt.edu/ http://www.pitt.edu/ http://www.library.pitt.edu/articles/digpubtype/index.html http://www.upress.pitt.edu/upressIndex.aspx