Journal of Clinical Research in HIV AIDS and Prevention
ISSN: 2324-7339
Current Issue
Volume No: 1 Issue No: 4
share this page

Research Article | Open Access
  • Available online freely | Peer Reviewed
  • Cardiovascular Risk Factors Among People Being Treated for HIV in Nepal: A Cross-Sectional Study

    Nirmal Aryal 1       Debbi Marais 1     Padam Simkhada 2    

    1Division of Applied Health Sciences, Forester Hill Campus, University of Aberdeen, Aberdeen, Scotland, UK

    2School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK



    Human Immunodeficiency Virus (HIV) and antiretroviral therapy (ART) are found to be strongly associated with cardiovascular diseases. Data are sparse on the prevalence and distribution of cardiovascular risk factors among people being treated for HIV in South Asia region.


    A cross-sectional study of 103 HIV patients (51 women and 52 men) attending routine follow-up consultations at the largest ART centre in Nepal was conducted. Data on several cardiovascular risk factors were collected through interview questionnaires, biophysical measurements and consulting medical records.


    The most common cardiovascular risk factors observed were central obesity 34.6% 95% Confidence Interval (CI): 25.3% to 43.9%, chronic kidney disease {20.7% (95% CI: 11.6% to 29.7%)} and tachycardia {20.6% (95% CI: 12.7% to 28.5%)}. Females were significantly more likely to have central obesity (male 9.8% vs. female 60%, p=0.016) and chronic kidney disease (male 15.4% vs. female 26.3%, p=0.003) as compared to the males. Participants were fairly active but a large proportion, especially men, had smoked {65% (95% CI: 57%-72.3%)}, used tobacco products {66% (95% CI: 56.4%-74.4%)} or drugs (53.8% of the men) and consumed alcohol {60.2% (95% CI: 50.5%-69.1%)}.


    A high prevalence of several cardiovascular risk factors was observed among patients being treated for HIV in Nepal. Further larger studies are warranted to better understand the relevance and public health impact of cardiovascular risk factors in this region.

    Received 20 Nov 2012; Accepted 10 Aug 2013; Published 10 Feb 2014;

    Academic Editor:Ian Woolley, Infectious Diseases Physician; Deputy Director, Monash Infectious Diseases; Director, Monash HIV, Monash Infectious Diseases; Senior Lecturer, Department of Medicine, Monash University

    Checked for plagiarism: Yes

    Review by: Single-blind

    Copyright©  2014 Nirmal Aryal, et al.

    Creative Commons License    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.

    Competing interests

    The authors have declared that no competing interests exist.


    Nirmal Aryal, Debbi Marais, Padam Simkhada (2014) Cardiovascular Risk Factors Among People Being Treated for HIV in Nepal: A Cross-Sectional Study. Journal of Clinical Research In HIV AIDS And Prevention - 1(4):22-36.
    Download as RIS, BibTeX, Text (Include abstract )


    Antiretroviral therapy (ART) has rendered dramatic improvements in the life span and quality of life in patients infected with the Human Immunodeficiency Virus (HIV). However, several health risks and side-effects are found to be strongly associated with HIV and/or the use of ART 1, 2, including cardiovascular-related complications 3. A number of observational studies have suggested that patients being treated for HIV are at elevated risk of cardiovascular diseases (CVD) 3, 4, 5.Much of this elevated risk is thought to be mediated by dyslipidemia, clinical lipodystrophy, central obesity, insulin resistance, hypertension and kidney diseases 6, 7. Furthermore, lifestyle choices which increase cardiovascular risk, such as tobacco usage, unhealthy diets, physical inactivity and drug abuse, are frequently observed among people living with HIV 8, 9, 10, 11, 12.

    The vast majority of previous studies of CVD among people with HIV were based in European, American and African settings, making it difficult to extrapolate findings to South Asia (which has distinct cultural, medical and lifestyle practices from other regions). Such lack of data from South Asia is in spite of rapid increases in the burden of CVD in the region 13, coupled with rapid increases in the usage of HIV treatments (reported to have increased 10 fold in the region in the past five years) 14.

    Nepal is a developing South Asian country with a population of 30 million. Over 70,000 Nepalese people were living with HIV and AIDS in 2008 15. Since the inception of ART services in Nepal in 2004, the number of HIV patients on ART has increased 60 fold in five years with 3834 Nepalese reported to be on ART in 2010 16. Likewise, a high prevalence of cardiovascular-related risk factors (CVRF), mainly central obesity 17, hypertension 18, CKD 19, smokers and drinkers 20 were observed in the general Nepalese population.With the backdrop of the increasing rate of CVD in Nepal 21, a high prevalence of CVRF and improved access to ART, the aim of this study was to assess the prevalence and distribution of selected CVRF among patients being treated for HIV in Nepal.

    Materials and Methods

    Study Design:

    A cross-sectional study was conducted with non-randomly selected HIV infected patients receiving ARV medication and sequentially attending the routine follow up consultation at the Teku ART centre, Kathmandu, Nepal. This centre is the largest referral ART clinic in Nepal treating more than 800 HIV infected patients 22. Ethical approval was obtained from the Nepal Health Research Council (NHRC) as per the guidelines of the University of Aberdeen college ethics review board.

    A total of 103 HIV patients were enrolled during the study period (11 April, 2010-10 May, 2010). HIV patients aged 25 or above, currently receiving ART and those who could understand and speak Nepalese were included in the study. HIV patients on ART but hospitalized and/or critically ill, with hearing and speaking disabilities, pregnant and who failed to give written informed consent were excluded.

    Data was collected by the researcher and trained research assistants using standardised operating protocols in conducting interview questionnaires, bio-physical measurements and retrieving medical records.

    Interview Questionnaire:

    The questionnaire was adapted from previously validated questionnaires 23, 24.Questions were modified to the Nepalese context and culture, and face validity was tested by piloting among six volunteers. The accuracy of the English-Nepalese translation was checked by back-translation by a local Nepalese journalist and reviewed by bilingual research team members. The questionnaire included six sections comprising questions on demographics and socio-economic information, physical activity, alcohol consumption, tobacco use/addiction, medical/medication history and dietary habits.

    For demographics and socio-economic information, data was collected on age, gender, ethnicity, education, occupation and income. The physical activity section included questions on physical activities at work and during leisure time, and total walking duration per day. For alcohol consumption information, data was collected on drinking status (current, past, never) as well as frequency, amount and type of alcohol use. Data on tobacco use and addiction was focussed on status of tobacco and smoking usage (current, past, never), types and duration of tobacco products use, number of cigarettes and other tobacco products consumed each day, second hand smoking, addiction status (current, past, never) and types of addiction. Dietary information was collected on the amount and frequency of fruit and vegetable; salt; fats and oils; dairy, meat, poultry, meat and fish products intake per day. The salt use was stratified into three groups of ‘low’, ‘moderate’, and ‘high’ according to what the respondents reported using while cooking food.

    For the data on medical/medication history, questions included participants’ own and family history of major CVDs and its risk factors as diagnosed by the doctor. Also, history of any medications for particular CVDs and its risk factors was recorded.

    Physiological Measurements:

    Body weight, height, hip and waist circumferences were measured using the World Health Organisation (WHO) standard protocols 25. Blood pressure (BP) and heart rate (HR) were measured by the oscillometric method using digital automatic BP measuring devices (OMRON M2 HEM-7117-E, OMRON Health Care Co. Ltd., Kyoto, Japan). BP and HR were taken at the seated position in a chair with feet on the floor and back straight. At the start and midpoint of the study, the reliability of these devices was verified with each other and with the blood pressure measuring machine used by clinical staff at the Teku ART centre. All bio-physical measurements were recorded twice and the average was considered for analysis. In the case of BP and HR, it was ensured that the second measurement was at least 10 minutes after the first one.

    Medical Records Retrieval:

    Selected biochemical values (White Blood Cell (WBC), lymphocytes, platelets, CD4+, serum creatinine), HIV medical history (mode of HIV transmission, date of HIV diagnosis and ART initiation) and HIV medication history (type and doses of medication) were accessed from the Teku ART centre medical records (such data was retrievable for all participants).

    Definitions and Preferred Cut-off Values:

    Body mass index (BMI) was calculated as the ratio of weight to height squared (kg/m2). Waist to Hip (W-H) ratio was determined as waist circumference (cm) divided by hip circumference (cm). Obesity and overweight were classified using the redefined cut points for Asia-Pacific (obesity: BMI≥25kg/m2 and overweight: ≥23kg/m2), as per the guidelines of the International Diabetes Institute 27. Central obesity was classified according to the WHO report on obesity 1997 (W-H ratio of 0.85 for women and 1.0 for men) 28. Hypertension was defined according to the 1999 World Health Organisation-International Society for Hypertension (WHO-ISH) guidelines, that is, systolic BP≥140mmHg and/or diastolic BP≥90mmHg 26. Tachycardia was defined according to the established cut point - HR >100 b/m. Chronic kidney disease (CKD) was defined according to the guidelines of the American National Kidney Foundation 29, which is eGFR<60 ml/min/1.73 m2. eGFR was calculated using the Cockcroft-Gault formula 30.

    Statistical Analysis:

    The statistical analysis was carried out using the IBM SPSS 20 package. Prevalence rates were presented in percentages, separately for males and females. Independent T test, Mann Whitney test and Chi-squared test methods were employed to assess bivariate relationships at 0.05 significance level.


    A total of 103 participants was included in this study, of whom 52 (50.5%) were men and 51 (49.5%) women from a variety of ethnic groups (Table 1). The median age of men and women was 38 years (interquartile range IQR 33,42), and 34 years (IQR 32, 39.5) respectively. Most of the participants were living in an urban area (64.0%), 16.5% were unemployed and 56.9% of the women and 15.4% of men had never attended school.

    Table 1. Socio-demographic and lifestyle characteristics and medical history of Nepalese HIV+ patients (N=103)
    Characteristics Men Women Total (%)
    Demographic Variables
    Gender(%) 52 (50.5) 51 (49.5) 103 (100)
    Ethnicity (%)
    Brahmin/Chhetri 23 (44.2) 22 (43.1) 45(43.7)
    Tamang/Rai/Gurung/Magar 11 (21.1 19 (37.2) 30 (29.1)
    Newar 8 (15.4) 3 (5.9) 11 (10.7)
    Others 10 (19.2) 7 (13.7) 17 (16.5)
    Age (Years)
    Median (IQR) 38 (33,42) 34 (32, 40) 35 (32,41)
    Currently living region (%)
    Kathmandu valley 33 (63.5) 33 (64.7) 66 (64.0)
    Highway districts 13 (25.0) 9 (17.6) 22 (21.4)
    Hilly districts 6 (11.5) 9 (17.6) 15 (14.6)
    Socio-economic Variables
    Monthly Household Income* (%)
    <NRs. 5000 11 (21.1) 16 (31.4) 27 (26.2)
    NRs. 5000-10000 22 (42.3) 15 (29.4) 37 (36.0)
    > NRs. 10000 8 (15.4) 3 (5.9) 11 (10.7)
    Not known 4 (7.7) 5 (9.8) 9 (8.7)
    Prefer not to answer 7 (13.5) 12 (23.5) 19 (18.4)
    Occupation (%)
    Unemployed 10 (19.2) 7 (13.7) 17 (16.5)
    Agriculture 8 (15.4) 8 (15.7) 16 (15.5)
    Business 7 (13.5) 6 (11.8) 13 (12.6)
    Service 11 (21.1) 1 (1.9) 12 (11.6)
    Labour 7 (13.5) 4 (7.8) 11 (10.7)
    Others 9 (17.3) 25 (49.0) 34 (33.0)
    Education (%)
    Never attended school 8 (15.4) 29 (56.9) 37 (36.0)
    School level 40 (76.9) 22 (43.1) 62 (60.2)
    Certificate level 2 (3.8) 0 (0) 2 (1.9)
    Undergraduate level 2 (3.8) 0 (0) 2 (1.9)
    Lifestyle variables
    Total walking period/day (%)
    <30 minutes 11 (21.1) 11 (21.6) 22 (21.4)
    30-60 minutes 9 (17.3) 6 (11.8) 15 (14.6)
    1-2 hours 18 (34.6) 21 (41.2) 39 (37.9)
    > 2 hours 14 (26.9) 13 (25.5) 27 (26.2)
    Alcohol intake status (%)
    Never 3 (5.8) 38 (74.5) 41 (39.8)
    Past 43 (82.7) 12 (23.5) 55 (53.4)
    Current 6 (11.5) 1 (2.0) 7 (6.8)
    Tobacco intake status (%)
    Never 4 (7.7) 31 (60.8) 35 (34.0)
    Past 13 (25) 7 (13.7) 20 (19.4)
    Current 35 (67.3) 13 (25.5) 48 (46.6)
    Smoking status (%)
    Never 4 (7.7) 32 (62.7) 36 (35)
    Past 13 (25) 6 (11.8) 19 (18.4)
    Current 35 (67.3) 13 (25.5) 48 (46.6)
    Drug use (%) 28 (53.8) 0 (0) 28 (27.2)
    Dietary intake (%)
    Fruit & veg consumption (n=101)
    <5 portions/day 43 (86.0) 48 (94.1)
    91 (90.0)
     5 portions/day 7 (14.0) 3 (5.9) 10 (9.9)
    Salt intake
    High 15 (53.6) 13 (46.4) 28 (27.2)
    Moderate 27 (45.0) 33 (55.0) 60 (58.2)
    Low 10 (66.7) 5 (33.3) 15 (14.6)
    HIV history (%)
    Mode of HIV transmission (n=69)
    Heterosexual route 19 (50.0) 29 (93.5) 48 (69.6)
    Injecting drug use 18 (47.4) 1 (3.2) 19 (27.5)
    Unknown 1 (2.6) 1 (3.2) 2 (2.9)
    HIV diagnosis period (months) (n=83)
    Median (IQR) 12 (3.7, 41.2) 24 (3.5, 42.5) 16 (4, 41)
    ART uptake period (months) (n=89)
    Median (IQR) 6 (1, 32) 11 (1, 31.2) 8 (1, 31.5)
    Biochemical measurements
    WBC (cells/µL) (n=89)
    Median (IQR) 5300 (4250, 7400) 4675 (4025, 5975) 4900 (4100, 6700)
    CD4+ (cells/mm3) (n=92)
    Median (IQR) 177 (84.25, 260.25) 213.5 (133.5, 348.5) 193 (129, 292.75)
    eGFR (mL/min/1.73m2) (n=77)
    Mean (SD) 86.28 (24.04) 78.59 (49.79) 82.49 (38.87)

    * £1 = Nepalese Rupees (NRs.) 130, as of 20th October 2011

    The median duration of HIV positive status and ART use was nearly two-fold in women as compared to men (Table 1). The median duration of HIV positive status was 24 months (IQR 3.5, 42.5) in women, but among men it was 12 months (IQR 3.7, 41.2). Women participants were receiving ART for 11 median months (IQR 1, 31.2), as compared to the six months (IQR 1, 32) for men. The median CD4+ count was 177 cells/mm3 (IQR 84.25, 260.25) in men, however it was slightly higher among women at 213.5 cells/mm3 (IQR 133.5, 348.5).

    Regarding lifestyle factors, 66% (95% CI: 56.8% to 75.1%) of the participants had ever used tobacco products, 65% (95% CI: 55.7% to 74.3%) had ever smoked and 60.2% (95% CI: 50.7% to 69.6%) had ever consumed alcohol (Table 1). All of these three factors were extremely prevalent in males, and the differences in the proportion between males and females were statistically highly significant at <0.001 significance level. As regards relevant dietary intake in terms of cardiovascular risk, 88.3% (95% CI: 82.0% to 94.6%) of participants reported not attaining the recommended five portions of fruits and vegetables per day. Also, 27.2% (95% CI: 18.6% to 35.8%) of participants reported a high salt intake.

    Prevalence of cardiovascular risk factors

    The most common CVRF observed were central obesity 34.6% 95% Confidence Interval (CI) : 25.3% to 43.9%, CKD {20.7% (95% CI : 11.6% to 29.7%)} and tachycardia {20.6% (95% CI :12.7% to 28.5%)} (Figure 1). Females were significantly more likely to have central obesity (male 9.8% vs. female 60%, p=0.016) and CKD (male 15.4% vs. female 26.3%, p=0.003) as compared to the males. Family history of CVD was reported by 42.7% (95% CI: 33.1% to 52.2%) of the participants, and was significantly higher in males (male 57.7% vs. female 27.4%, p=0.004). Likewise, 8.7% (95% CI: 3.3% to 14.2%) of the participants had a history of CVD, 3.9% (95% CI: 0.2% to 7.6%) reported being diagnosed with diabetes and 4.8% (95% CI : 0.7% to 8.9%) were currently on medication for either CVD or hypertension or diabetes or in combination.

    Figure 1. Prevalence of CVD risk factors in the sample population (CO: Central Obesity, CKD: Chronic Kidney Diseases, HT: Hypertension)
    Figure 1.

    We also examined the number of cardiovascular risk factors prevalent among the individual participants. For this analysis, we considered BMI, W-H ratio, heart rate, eGFR and hypertension (systolic or diastolic or both) as the risk factors. At least two CVRF were concurrently prevalent among the 19.4% (95% CI: 12.9% to 28.2%) of the participants (Figure 2). Females were more likely to have ≥2 CVRF as compared to males (males 13.5% vs. females 25.5%), but this difference was statistically non-significant (p=0.196).

    Figure 2. Prevalence of number of CVD risk factors in the sample population.
    Figure 2.

    The association between CVRF and HIV drug groups was also assessed (Table 2), but no significant associations were observed. Most of the participants were on a combination of duovir and nevirapine drugs (52.4%), followed by duovir and efavirenz (15.5%), and lamivudine, stavudine and nevirapine (14.6%).

    Table 2. Association of HIV medication and CVD risk factors
    Duovir * + Nevirapine (N= 54) Other ** (N=41) P value
    BMI(Kg/m2) MedianIQR 20.32 (n=53)(18.88, 23.03) 19.95 (n=41)(18.75, 21.86) 0.288
    W-H Ratio MedianIQR 0.89 (n=53)(0.83, 0.94) 0.88 (n=40)(0.82, 0.93) 0.778
    Heart Rate(b/m) MeanSD 87.99 (n=53)14.83 89.17 (n=40)14.70 0.703
    eGFR(ml/min/1.73m2) MeanSD 77.17 (n=45)20.19 81.38 (n=31)27.34 0.442
    (mmHg)Sys BP MeanSD 116.39 (n=53)14.31 111.47 (n=40)14.57 0.107
    Dias BP(mmHg) MeanSD 77.37 (n=53)10.72 75.20 (n=40)10.64 0.335

    * Duovir = Lamivudine + Zidovudine
    ** Drug combinations mainly included Duovir + Efavirenz (n=16), Lamivudine+Stavudine+Nevirapine (n=15)


    This is the first study in Nepal to document CVRF among the HIV population on ART. The key findings of this study are a high prevalence of central obesity, CKD and tachycardia. Risky lifestyle habits such as a high prevalence of smoking and alcohol consumption, especially in males and poor dietary habits (low fruit and vegetable and high salt intake) were also found. Overall, a third (34.6%) of the participants had central obesity and females had a disproportionately higher prevalence (60.0%) than the males (9.8%). This corroborates findings in larger studies, where the prevalence of central adiposity among HIV patients on HAART was 30% to 62% 31. Falutz suggested that factors such as female gender and treatment with antiretroviral drugs zidovudine (AZT) and efavirenz (EFV) may contribute to raise the risk of central adiposity 32. In our study, the vast majority of the participants (84.2%) were on AZT, EFV was also used by 24.2% and 17.9% were concurrently treated with both AZT and EFV along with other drug combinations. However, we could not demonstrate significant associations between HIV drug combinations and any of the CVRF. Due to the small sample size, we had to categorize nine drug combinations of the participants into two groups (duovir + nevirapine and remaining combinations) for analysis.

    Very little research has been conducted in Nepal on central obesity based on W-H ratio and findings are hugely conflicting. In a study on healthy Nepalese males, central obesity was observed in 51.2% of the 1000 participants 17. By contrast, a recent study among 241 Nepalese men and women, found a prevalence of 2.5% in males and 10% in females 33. The difference in cut-off values used to classify central obesity might have partly contributed to the difference in findings as Vaidya and colleagues 17 used a cut-off value of ≥0.95 for males and Adhikari and colleagues 35 did not mention the cut-off point. Geographical and cultural differences of the study sites may also have played role in the variation. Nonetheless, the finding of a higher prevalence of central obesity in females may underpin the notion that abdominal lipohypertrophy is predominant in HIV treated females 34, taking into consideration findings that South Asian populations, especially females, are more vulnerable to abdominal obesity 35. This finding suggests the possible added risk of central obesity among HIV infected Nepalese females on ART.

    The CKD prevalence in this study (20.7%) was the highest compared to other Asian studies conducted on HIV infected patients on ART - A Japanese study found 15.4% 36 and a Chinese study found 16.8% prevalence of CKD 37. Notably, the prevalence found was also higher than in the general Nepalese population, where Sharma and colleagues reported CKD in 14.4% of 8398 Nepalese adults 19. The methodological differences in defining CKD though should be noted (this study estimated eGFR using a Cockcroft-Gault formula, whereas Sharma and colleagues and the Chinese study followed the Modification of Diet in Renal Disease Equation (MDRD), and the Japanese study followed the equation suggested by Japanese Society of Nephrology).

    Among the antiretroviral agents, Tenofovir disoproxil fumerate (TDF) has been found to be associated with increased renal dysfunction 37, and the WHO has recognized it’s renal toxicity. However, in this study only two participants were being treated with TDF. This is an important factor for future studies as the use of TDF among the Nepalese HIV population is likely to increase rapidly in the future due to the recent guidelines of the WHO 38 which recommends the reduction of stavudine (d4T) and use of TDF in a first line regimen. Stavudine is currently the dominant HIV drug in the Nepalese HIV population. Thus, clinicians and researchers should be more aware of renal health of HIV treated patients in Nepal.

    Hypertension (systolic or diastolic) was found in 11.8% of the participants, which is significantly lower than the findings from other studies conducted in developed countries 39, 40, but is similar to a study conducted in Africa (11.2%) 41. It is interesting to note that the prevalence found is also lower than that of the general Nepalese population of 19.7% to 33.9% 18, 42. Several studies have demonstrated an association between hypertension and the duration of HAART. A large multi-centered study suggested a significant association after two years on HAART 43, and an American study showed no association till six months 44. In this study, the median duration of HAART use was eight months and could partly explain the lower rates. Larger studies are required to confirm the prevalence and aetiology of hypertension in the HIV treated Nepalese population.

    Findings suggest that health education should target certain lifestyle habits i.e. smoking, alcohol consumption, diet and physical activity within the HIV treated Nepalese population to decrease their CVRF. The prevalence of smoking in this study was higher than in the general Nepalese population (current smokers: 46.6% vs. 23.8%) 20, but is consistent with findings among other HIV+ populations 3, 45. A propensity for smoking among people living with HIV could be due to its perceived role in emotional support and stress reduction 46. Men especially should be targeted to educate them regarding the increased cardiovascular risk of smoking and other stress reduction therapies introduced.

    In contrast, a considerably lower prevalence of current alcohol consumption was reported in the HIV infected participants than in the general Nepalese community (6.9% vs. 28.5%) 20. This is also in contradiction to common trends found in studies conducted in developed countries 10, 47. It is noteworthy that the prevalence of ever having consumed alcohol is higher though which could indicate that participants may have under-reported their alcohol consumption owing to social desirability bias or alternatively, due to the fact that two-thirds of the participants were poor, were not able to afford the high cost of alcohol. Alternatively, health education may have targeted this and resulted in a change in alcohol consumption habits.

    As this was a cross-sectional study, a cause-effect relationship between CVRF and ART cannot be inferred. As participants were non-randomly selected and all based at one ART centre, the results shouldn’t be extrapolated to Nepal as a whole. Further limitations of self-reported responses could have introduced bias and restricted recorded biochemical measurements resulted in not being able to investigate the prevalence of other CVRF such as dyslipidaemia, clinical lipodystrophy and diabetes mellitus.

    Although this was a cross-sectional study on a small sample, it provides important insights on the apparent risk of CVRF among HIV infected Nepalese patients on ART and warrants the need for further prospective and longitudinal studies.


    This study provides important insights on the prevalence of CVRF among HIV infected Nepalese patients on ART, finding a high prevalence of central obesity, CKD and tachycardia as well as risky lifestyle habits. Not only does this warrant the need for further prospective and longitudinal studies, but it has implications for treatment and intervention within this population group. It also seems that health education messages should be gender-specific, with women being targeted with messages to avoid the risk of abdominal obesity and men regarding smoking and alcohol consumption as well as stress reduction therapy provided. Both groups should be educated about following a healthy diet and encouraged to continue doing physical activity. Finally, renal function should be monitored more closely if WHO guidelines are followed and TDF used more widely.


    We are very grateful to Dr. Nadeem Sarwar, University Lecturer in Cardiovascular Epidemiology, University of Cambridge, UK for his significant contribution in study design, data collection and data analysis. We are grateful to the entire team of Teku ART centre, the research assistants (Amrit Bhandary, Bigyan Ojha, Bipin Thapa, Kreepa Bhattarai, Medha Sharma, Pratibha Dhungana, Seetu KC and Surendra Khanal) and the participants who consented to take part in the study.


    1.Fellay J. (2001) Prevalence of adverse events associated with potent antiretroviral treatment: Swiss HIV Cohort Study. Lancet. 358(9290), 1322-27.
    2.Hawkins T. (2010) Understanding and managing the adverse effects of antiretroviral therapy. , Antiviral Research 85(1), 201-9.
    3.Friis-Moller N, Weber R, Reiss P, Thiebaut R, Kirk O et al. (2003) Cardiovascular disease risk factors in HIV patients-association with anti-retroviral therapy. Results from the DAD study. AIDS. 17(8), 1179-93.
    4. (2010) Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) Study Group, and Smith C: Factors associated with specific causes of death amongst HIV positive individuals in the D:A:D study. AIDS. 24, 1537-48.
    5.Schuster I, Thoni G S, Ederhy S, Walther G, Nottin S et al. (2008) Subclinical cardiac abnormalities in human immune deficiency virus-infected men receiving antiretroviral therapy. , The American Journal of Cardiology 101(8), 1213-17.
    6.Grinsppon S, Carr.A: Cardiovascular risk and body fat abnormalities in HIV-infected adults. , New England Journal of Medicine 352, 48-62.
    7.Scherzer R, Estrella M, Li Y, Choi A I, Deeks S G et al. (2012) Association of tenofovir exposure with kidney disease risk in HIV infection. , AIDS 26(7), 867.
    8.Clingerman E M. (2003) Participation in physical activity by persons living with HIV disease. , The Journal of the Association of the Nurses in AIDS Care 14(5), 59-70.
    9.ACFL Duran, Almeida L B, AAC Segurado, Jamie P C. (2008) Diet quality of persons living with HIV/AIDS on highly active antiretroviral therapy. , Journal of Human Nutrition and Dietetics 21(4), 346-50.
    10.Galvan F H, Bing E G, Fleishman J A, London A S, Caetano R et al. (2002) The prevalence of alcohol consumption and heavy drinking among people with HIV in the United States: Results from the HIV cost and services utilization study. , Journal of Studies on Alcohol 63(2), 179-86.
    11.Glass T R, Ungsedhapand C, Wolbers M, Weber R, Vernazza P L et al. (2006) Prevalence of risk factors for cardiovascular disease in HIV-infected patients over time: the Swiss HIV Cohort Study. , HIV Medicine 7(6), 404-10.
    12.Freiberg M S, McGinnis K A, Kraemer K, Samet J H, Conigliaro J et al. (2010) The association between alcohol consumption and prevalent cardiovascular diseases among HIV-infected and HIV-uninfected men. , Journal of Acquired Immune Deficiency Syndromes 53(2), 247-53.
    13.Karar Z A, Alam N. (2009) Streatfield PK: Epidemiological transition in rural Bangladesh,1986-2006.Global Health Action. 2, 1-9.
    14. (2010) WHO report. HIV/AIDS programme highlights 2008-2009 [http://whqlibdoc. 978924159 9450 eng.pdf
    15. (2008) National Centre for AIDS and STD Control (NCASC): HIV estimating briefing. , Kathmandu. Ministry of Health & Population, Government of Nepal
    16. (2010) . National Centre for AIDS and STD Control (NCASC):ART Report-Sitewise Summary: 4th Trimester Report.Kathmandu.Ministry of Health and Population,Government of , Nepal .
    17.Vaidya A, Pokharel P, Nagesh S, Karki P, Kumar S et al. Kathmandu University Medical Journal (2006) Association of obesity and physical activity in adult males of Dharan,Nepal. 4(2).
    18.Sharma S K, Ghimire A, Radhakrishnan J, Thapa L, Shrestha N R et al. (2011) Prevalence of hypertension, obesity, diabetes, and metabolic syndrome in Nepal. International Journal of Hypertension. doi: 10.4061/2011/821971. Article ID 821971: 9.
    19.Sharma S K, Zou H, Togtokh A, Ene-Iordache B, Carminati S et al.Burden of CKD, proteinuria, and cardiovascular risk among chinese, mongolian, and nepalese participants in the international society of nephrology screening programs. , American Journal of Kidney Diseases 56(5), 915-27.
    20. (2009) Ministry of Health and Population: Nepal non-communicable diseases risk factor survey 2007. Kathmandu : Ministry of Health and Population, Government of Nepal;.
    21.Maskey A, Sayami A, Pandey M R. (2003) Coronary artery disease: An emerging epidemic in Nepal. , Journal of Nepal Medical Association 42, 122-24.
    22. (2010) . National Centre for AIDS and STD Control (NCASC): Health sector response to HIV and AIDS in Nepal: Annual report,2008/2009. Kathmandu:Ministry of Health and Population,Government of , Nepal .
    23.Saleheen D, Zaidi M, Rasheed A, Ahmad U, Hakeem A et al. (2009) The Pakistan Risk of Myocardial Infarction Study: a resource for the study of genetic, lifestyle and other determinants of myocardial infarction in South Asia. , European Journal of Epidemiology 24(6), 329-38.
    24.Smith B H, Campbell H, Blackwood D, Connell J, Deary I J et al. (2006) Generation Scotland: the Scottish Family Health Study; a new resource for researching genes and heritability. , BMC Medical Genetics 7, 74.
    25. (1995) World Health Organization (WHO): Physical status: the use and interpretation of anthropometry. Report of a WHO expert committee. Geneva: WHO (Technical Report Series no. 854);
    26.Chalmers J, MacMahon S, Mancia G, Whitworth J, Beilin L et al. (1999) World Health Organization-International Society of Hypertension Guidelines for the Management of Hypertension. Guidelines sub-committee of the World Health Organization. Clinical and experimental hypertension (New York,NY:. 1993-21.
    27. (2000) International Association for the study of obesity and International Obesity Task Force. The Asia-Pacific Perspective. Redefining obesity and its treatment. International Diabetes Institute : Western Pacific Region,Health Communications AustaliaPvt.Ltd.
    28. (1997) World Health Organisation. Obesity: preventing and managing the global epidemic. Report of a WHO consulation on obesity;. , WHO/NUT/NCD 98-1.
    29.Levey A S, Coresh J, Balk E, Kausz A T, Levin A et al. (2003) National kidney foundation practice guidelines for chronic kidney disease: Evaluation, classification, and stratification. Ann Intern Med. 139(2), 137-47.
    30.Cockcroft D W, Gault M H. (1976) Prediction of creatinine clearance from serum creatinine. , Nephron 16(1), 31-41.
    31.Moyle G, Moutschen M, Martínez E, Domingo P, Guaraldi G et al. (2010) Epidemiology, assessment, and management of excess abdominal fat in persons with HIV infection. AIDS Rev. 12(1), 3-14.
    32.Falutz J. (2011) Management of fat accumulation in patients with HIV infection. Current HIV/AIDS Reports. 1-9.
    33.Adhikari K, Jain V, Adak M, Gupta N.Koshy AK: Prevalence of risk factors of non-communicable diseases among adolescent in Parsa district of Nepal. , Research Journal of Pharmaceutical, Biological and Chemical Sciences 4(1), 568-75.
    34.Galli M, Veglia F, Angarano G, Santambrogio S, Meneghini E et al. (2003) Gender differences in antiretroviral drug related adipose tissue alterations;women are at higher risk than men and develop particular lipodystrophy patterns. , Journal of Acquired Immune Deficiency Syndromes 34(1), 58-61.
    35.Pandit K, Goswami S, Ghosh S, Mukhopadhyay P, Chowdhury S. (2012) Metabolic syndrome in south asians. , Indian Journal of Endocrinology and Metabolism 16(1), 44.
    36.Yanagisawa N, Ando M, Ajisawa A, Imamura A, Suganuma A et al. (2011) et al.: Clinical characteristics of kidney disease in Japanese HIV-infected patients. Nephron Clinical Practice. 118(3), 285-91.
    37.Cheung C Y, Wong K M, Lee M P, Liu Y L, Kwok H et al. (2007) et al.: Prevalence of chronic kidney disease in Chinese HIV-infected patients. Nephrology Dialysis Transplantation. 22(11), 3186-90.
    38. (2010) World Health Organisation (WHO): 2010ART guidelines for adults and adolescents.Geneva:WHO.
    39.Medina-Torne S, Ganesan A, Barahona I, Crum-Cianflone N F. (2012) Hypertension is common among HIV-infected persons, but not associated with HAART. , Journal of the International Association of Physicians in AIDS Care (JIAPAC) 11(1), 20-5.
    40.Bergersen B, Sandvik L, Dunlop O, Birkeland K, Bruun J. (2003) Prevalence of hypertension in HIV-positive patients on highly active retroviral therapy (HAART) compared with HAART-naive and HIV-negative controls: Results from a norwegian study of 721 patients. , European Journal of Clinical Microbiology & Infectious Diseases 22(12), 731-6.
    41.Bloomfield G S, Hogan J W, Keter A, Sang E, Carter E J et al. (2011) Hypertension and obesity as cardiovascular risk factors among HIV seropositive patients in western Kenya. , PLoS One 6(7), 22288.
    42.Sharma D, Bkc M, Rajbhandari S, Raut R, Baidya S G et al. (2006) Study of prevalence, awareness, and control of hypertension in a suburban area of Kathmandu,Nepal.Indian Heart. , J 58(1), 34.
    43.Seaberg E C, Munoz A, Lu M, Detels R, Margolick J B et al. (2005) Association between highly active antiretroviral therapy and hypertension in a large cohort of men followed from1984to2003. , AIDS 19(9), 953-60.
    44.Grandominico J M, Fichtenbaum C J. (2008) Short-term effect of HAART on blood pressure in HIV-infected individuals. , HIV Clinical Trials 9(1), 52-60.
    45.Rahmanian S, Wewers M E, Koletar S, Reynolds N, Ferketich A et al. (2011) Cigarette smoking in the HIV-infected population. Proceedings of the American Thoracic Society 8(3), 313-9.
    46.Peretti-Watel P, Garelik D, Baron G, Spire B, Ravaud P et al. (2009) Smoking motivations and quitting motivations among HIV-infected smokers. Antiviral Therapy. 14(6), 781-87.
    47.Justice A C, McGinnis K A, Atkinson J H, Heaton R K, Young C et al. (2004) Psychiatric and neurocognitive disorders among HIV-positive and negative veterans in care: Veterans aging cohort five-site study. AIDS. 18, 49.