- Research article
- Open Access
- Open Peer Review
Burden and predictors of hypertension in India: results of SEEK (Screening and Early Evaluation of Kidney Disease) study
- Youssef MK Farag†1,
- Bharati V Mittal†1,
- Sai Ram Keithi-Reddy1,
- Vidya N Acharya2,
- Alan F Almeida3,
- Anil C4,
- Ballal HS5,
- Gaccione P1,
- Issacs R6,
- Sanjiv Jasuja7,
- Kirpalani AL8,
- Kher V9,
- Modi GK10,
- Georgy Nainan11,
- Jai Prakash12,
- Mohan M Rajapurkar13,
- Rana DS14,
- Rajanna Sreedhara15, 4,
- Sinha DK16,
- Bharat V Shah17,
- Sham Sunder18,
- Raj Kumar Sharma19,
- Sridevi Seetharam4,
- Tatapudi Ravi Raju20 and
- Ajay K Singh1Email author
© Farag et al.; licensee BioMed Central Ltd. 2014
- Received: 19 November 2012
- Accepted: 4 October 2013
- Published: 6 March 2014
Hypertension (HTN) is one of the major causes of cardiovascular morbidity and mortality. The objective of the study was to investigate the burden and predictors of HTN in India.
6120 subjects participated in the Screening and Early Evaluation of Kidney disease (SEEK), a community-based screening program in 53 camps in 13 representative geographic locations in India. Of these, 5929 had recorded blood pressure (BP) measurements. Potential predictors of HTN were collected using a structured questionnaire for SEEK study.
HTN was observed in 43.5% of our cohort. After adjusting for center variation (p < 0.0001), predictors of a higher prevalence of HTN were older age ≥40 years (p < 0.0001), BMI of ≥ 23 Kg/M2 (p < 0.0004), larger waist circumference (p < 0.0001), working in sedentary occupation (p < 0.0001), having diabetes mellitus (p < 0.0001), having proteinuria (p < 0.0016), and increased serum creatinine (p < 0.0001). High school/some college education (p = 0.0016), versus less than 9th grade education, was related with lower prevalence of HTN. Of note, proteinuria and CKD were observed in 19% and 23.5% of HTN subjects. About half (54%) of the hypertensive subjects were aware of their hypertension status.
HTN was common in this cohort from India. Older age, BMI ≥ 23 Kg/M2, waist circumference, sedentary occupation, education less, diabetes mellitus, presence of proteinuria, and raised serum creatinine were significant predictors of hypertension. Our data suggest that HTN is a major public health problem in India with low awareness, and requires aggressive community-based screening and education to improve health.
The burden of hypertension varies remarkably throughout the regions of the world and is a serious public health problem in both developed and developing countries [1, 2]. Both systolic and diastolic hypertension are important predicting risk factors of cardiovascular disease, chronic kidney disease and stroke.  World Health Organization (WHO) data indicate that by 2025 the global burden of hypertension will increase by 60% to be 1.56 billion individuals worldwide and higher in the developed nations . Lopez et al. have shown that 5.3 million deaths were attributable to cardiovascular disease in the western world as compared to 8 to 9 million in the developing world . According to a recent report, hypertension was the third major cause of disease burden, in both developed and developing regions worldwide, with 64 million disability adjusted life years (DALY) .
Hypertension is one of the most important modifiable risk factors for cardiovascular disease (CVD) . Hypertension in early stages does not show any symptoms; hence many are unaware of its presence. The prevalence of hypertension is increasing and it correlates with the chronic kidney disease in the US [9, 10]. Early detection is feasible using a simple and accurate screening test and aggressive blood pressure management. Yet this has not received adequate attention or allocation of public health resources for planning effective preventive strategies. In India, as a developing country with a population estimated at 1.1 billion, the prevalence of hypertension has been estimated to be 3% to 34.5% in males and 5.8% to 33.5% of females [10–13].
Understanding the burden of hypertension, as a preventable disease, and underlying risk factors by organizing population screening is the first step towards planning any effective preventive programs. The Screening and Early Evaluation of Kidney Disease (SEEK Study) aimed at generating epidemiological information on chronic kidney disease and its associated non-communicable disease in India. This article presents the results from SEEK Study on the prevalence and risk factors of hypertension.
Assembly of the SEEK cohort
Thirteen academic and private medical centers in India participated in the study under the name of “Screening and Early Evaluation of Kidney disease- SEEK”. It was conducted between June 2005 to May 2007, coordinated from the Brigham and Women’s Hospital in Boston, Massachusetts. The protocol was approved by the Partner’s Institutional Review Board (IRB) as well as by individual centers’ own institutional IRBs in India. Signed or verbal informed consent (confirmed by a witness) was obtained before administering the questionnaire, taking measurements or blood collection. The database is based at the Brigham and Women’s Hospital.
Centers for the SEEK study
Varanasi, Uttar Pradesh*
Kanpur, Uttar Pradesh§
Apollo Hospital, Delhi§
RML Hospital, Delhi§
Bhopal, Madhya Pradesh✞✞
Data collection and participant selection
A structured questionnaire translated into local languages was used (Additional file 1). A team of nephrologists, nurses, technicians and interviewers participated in the camps. At every site, staff was trained in interview techniques and measurement of height, weight and blood pressure by organizing a half day workshop prior to the camp. Body mass index (BMI) was calculated using the formula “weight (Kg)/height (M2).” Overweight was defined as BMI ≥ 23 and < 27.5 Kg/M2, obese as BMI ≥ 27.5 Kg/M2. We also calculated the prevalence of being overweight and obese using the conventional cut off of BMI ≥25 Kg/M2 and ≥30 Kg/M2 respectively. The waist to hip circumference ratio (WHR) was calculated by using the waist circumference at the narrowest circumference between the lower costal margin and the iliac crest. Hip circumference was measured at the maximum circumference at the level of the femoral trochanters. Abdominal obesity was defined as ≥ 90 cms for males and ≥ 80 cms for females (Asian cut off) .
Blood Pressure (BP) measurements
In order to get a standardized BP measurement, a protocol per American Heart Association guidelines  and a power-point presentation was provided to the centers, and staff training on measuring the blood pressure was carried out prior to camps. Systolic blood pressure (SBP) was based on the 1st Korotkoff phase and diastolic (DBP) on the 5th Korotkoff phase. Mercury sphygmomanometer was used after checking for zero error. After rest for 5 minutes, BP was recorded in the sitting position in the right arm supported at heart level, to the nearest 2 mm using mercury sphygmomanometer. An average of two readings was taken into consideration.
Non-fasting blood samples were collected in the camps. Blood was sent to a central laboratory. Quality control for temperature transporting specimens was checked and confirmed; i.e., 4–9 degree Celsius. Serum creatinine was measured using Jaffe Colorimetric method on a Roche Hitachi 912 analyzer. The instrument was calibrated (external calibration) using the Cleveland Clinic Foundation (CCF) creatinine panel. Regression analysis was carried out to calculate a formula to convert creatinine values obtained at the SRL-Ranbaxy laboratory (SRL) to the CCF values as follows: CCF creatinine = -0.13 + SRL creatinine * 0.99. Urine protein was detected by dipstick method (Bayer Multistix 10 SG). A modified MDRD-3 equation GFR (mL/min/1.73 m2) = 175 × (Scr)-1.154 × (Age)-0.203 × (0.742 if female) × (1.212 if African American) was used . Plasma glucose was measured by the glucose oxidase peroxidase method using Roche Hitachi 912 analyzer.
Definition of variables
Urine protein positivity (proteinuria) was defined as urine protein 1+ or more. Elevated blood pressure (EBP) was defined as SBP/DBP ≥ 140/90 mmHg . Hypertension was defined as SBP/DBP ≥ 140/90 mmHg  or if the patient was on medication for hypertension or had a positive self reported history of hypertension (based on a response to “have you ever been told that you have high blood pressure” or ‘a past history of high blood pressure”). Prehypertension was defined as a systolic pressure from 120 to 139 millimeters of mercury (mmHg) or a diastolic pressure from 80 to 89 mmHg . Diabetes was defined as fasting blood sugar FBS > 126 or non-fasting blood sugar ≥ 200 or on any medications for diabetes mellitus (ADA definition) , or if there was a positive response to the questions “have you ever been told that you have diabetes” or “past history of diabetes”. Self reported history of medications was verified and if the subject did not know the name of the medication and/or if the stated name was incorrect, the response was considered as “no” even if the subject’s response to the question “are you on BP or diabetes medications” was “yes”. CKD stages were defined using NKF-KDOQI guidelines (eGFR < 60 ml/min/1.73 m2 or proteinuria ≥ 1+ on dipstick) . Self reported ischemic heart disease was taken as present if there was a self reported history of a myocardial infarction, percutaneous angioplasty or coronary artery bypass surgery. Family history included only first-degree relatives.
SAS Statistical Analysis Software Version 9.1.3 (SAS Institute Inc., Cary, NC, USA) was used. Univariate analyses comparing distributions of socio-demographic and clinical/historical measures between HTN groups was performed first, with comparisons made using Fisher’s Exact Test and t-tests. Then a multivariate logistic regression model, with HTN yes or no as the outcome, was fit with variables correlating highly with it univariately (p < 0.05). All were entered into the model, and a stepwise selection process combined with finding a parsimonious minimum of the Akaike and Schwarz model information criteria  resulted in the final composition of the model. All covariates are adjusted simultaneously for the others including one other covariate, family history of HTN, which was forced to remain in the model. Due to the number of variables and the inclusion of the center variable interactions were not tested. We also presented the adjusted odds ratios and the corresponding 95% confidence intervals for these resulting relationships.
Prevalence of risk factors in HTN population
N = 2578
N = 3351
< 40 years
≥ 40 years
≤ 8th grade
9th to some college
College grad/Post grad
≤ 125 $/month
> 125 $/month
Body mass index✝
< 23 Kg/M 2
≥ 23 Kg/M 2
Body mass index✝✝
< 27 Kg/M 2
≥ 27 Kg/M 2
Body mass index✝✝✝
< 30 Kg/M 2
≥ 30 Kg/M 2
Current Smoker or tobacco chewer
Current Smoker & tobacco chewer
Self reported DM
Family H/o HTN
> = 1+
Only 54% of the HTN subjects were aware of their hypertension and reported positively to the question “Have you ever been told that you have high blood pressure?” or “Do you have a past history of hypertension”. 21.7% of the hypertensive population was on treatment.
Comparisons of HTN groups
The mean age of hypertensive subjects was 52.1 years (SD 14.02 years), significantly higher than the non-hypertensive subjects (p = <0.0001). Eighty percent of subjects with HTN were ≥40 years of age as compared to 49.2% of those without HTN (p < 0.0001). Figure 1a shows increasing prevalence of HTN with age; in the 6thand 7th decade ≥70% of males and females in the screened population had hypertension. The mean systolic and diastolic blood pressure of the hypertensive group were 141(20) and 88(11) mmHg respectively, while that of the non hypertensive group was 116(11) and 74(8) mmHg respectively (p < 0.0001). Approximately fifty seven percent of subjects with hypertension were males and to 42.5% were females (p = 0.0007). For the HTN group, the mean BMI was 25.7(5.4) Kg/M2, the mean waist circumference was 88.3(13.3) cm, the hip circumference 96.1(12.2) cm, and 56.7% had abdominal obesity; these numbers were significantly higher than in the non-hypertensive group (p < 0.0001 for all 4 parameters). There was a significant difference in the distribution of educational, occupational, and income levels between the groups, as well as who smoked and/or chewed tobacco. Family history of HTN was reported more often in the HTN group (23.5% vs. 19.3%, p < 0.0001).
Confirmed and self-reported diabetes (26.1% and 22.1%, respectively) were both higher in the HTN group (p < 0.0001). proteinuria was observed among 19% of HTN subjects as compared to 9.3% of non hypertensive subjects (p < 0.0001). ). CKD (MDRD GFR < 60 ml/min/1.73 m2 or GFR ≥ 60 ml/min/1.73 m2 and urine protein ≥ 1+) was found in 23.5% of HTN subjects and 10.7% of non-hypertensive subjects (p < 0.0001).
Cardiovascular Disease in the SEEK Cohort (self reported history)
N = 2578
N = 3351
N = 5929
Ischemic heart disease*
Peripheral vascular disease
Hypertension was significantly higher in the urban population compared to the rural population (p < 0.0001), and the center distribution showed statistically significant differences among the three center types (urban, rural, mixed) (p = 0.005).
Predictors of hypertension
Multi-variate regression analysis for association of risk factors with HTN (adjusted for all characteristics with p value < 0.05 on univariate analysis)
Adjusted odds ratio
> = 40 years
2.24 (1.93- 2.59)
(ref: less than 40 years)
1.17 (1.00- 1.38)
9th Grade/Some College
0.76 (0.64- 0.90)
(ref: less than 9th grade)
College Grad/Post Grad
0.85 (0.70- 1.04)
(ref: less than 9th grade)
1.07 (0.87- 1.32)
0.80 (0.43- 1.48)
1.79 (1.45- 2.20)
(ref: physical job)
BMI > =23 kg/m^2
1.37 (1.15- 1.64)
(ref: BMI less than 23)
1.03 (1.03- 1.04)
(ref: normal WC)
1.71 (1.44- 2.04)
(ref: no DM)
Family History of HTN
(ref: No FH of HTN)
1.61 (1.34- 1.93)
(ref: normal creatinine)
Urine protein > = 1+
1.40 (1.14- 1.73)
(ref: no urine protein)
The main finding of this study is that hypertension prevalence in our SEEK cohort is 43.5%, and 41.5% of subjects had blood pressure in the range of “pre-hypertension”.
The major predictors of hypertension included age >40 years, male gender, BMI of ≥ 23 Kg/M2, waist circumference, sedentary occupation, proteinuria, and increased serum creatinine, proteinuria and CKD were observed in 19% and 23.5% of HTN subjects, respectively. Nearly two-thirds of the cohort with hypertension was overweight or obese compared to only approximately 40% of those without HTN. Collectively, these observations support the idea that hypertension is an important public health issue in developing countries and it has important associations with both kidney disease and obesity. In China, the largest and most populous country in Asia, HTN was identified as the major causes of death [20–22].
Both Asia and Africa are witnessing this increasing prevalence due to acculturation. Rapid and often uncontrolled urbanization leads to exposure to many health risks, including poor sanitation and environmental risk factors. However, it also leads to changes in dietary and lifestyle changes leading to decreased physical activity and increased risk of obesity and greater risk of hypertension. Most of the increase in the prevalence of HTN in the developing countries especially in the South East Asia has been attributed to the increase in obesity . The increased prevalence of HTN in urban compared to the rural populations has been also shown in several other studies [24–26] including a recent meta-analysis . It showed that the prevalence of HTN varied between 4.5 to 45% in rural populations, and a higher prevalence (13.9–48.2%) in the urban populations, with a significant increasing trend over time.
Excess body weight has been identified as an important independent risk factor for hypertension and related complications of CVD . Several reports suggest that among the Chinese and South Asian population a higher prevalence of dyslipedemia, metabolic syndrome, type II diabetes mellitus and CVD are observed at a much lower value of BMI than the Europeans [28, 29]. The normal range of BMI cutoff points derived in the western population may be misleading when used for these ethnic groups . An Asian cut off for obesity and abdominal obesity among different ethnic populations was also defined by the International Diabetes Federation consensus group in 2004 . This cut-off was much lower for the Chinese, Japanese, South Asian population as compared to the European population . He et al. observed that waist circumference adds additional risk information to that of BMI in Chinese adults . Obesity by conventional standards (17.9%) and Asian standards (33%) was prevalent among HTN subjects. However, 68.7% of the HTN population was overweight or obese compared to 42.9% of those without HTN. Further, we observed overweight or obese (BMI ≥ 23 Kg/M2) individuals to have 1.37 times higher prevalence of HTN compared to those with lean or normal BMI (< 23 Kg/M2). In the KEEP study, 50.8% of HTN subjects were obese using the conventional cut off  Also, waist circumference as a continuous variable revealed a significantly higher positive association with HTN. Given the propensity of Indian population to develop hypertension at a much lower body weight and waist circumference, urgent and concerted prevention policy development and implementation including educational intervention for improving diet and exercise is necessary.
Association of HTN with diabetes mellitus, proteinuria and CKD was high in our cohort. Kidney disease can be the cause or consequence of hypertension. Proteinuria is the earliest indication of kidney disease among diabetic subjects and has been observed in about 20- 40% of diabetic subjects without known kidney disease [33, 34]. But prevalence of albuninuria among hypertensive individuals screened in large populations has been reported in 8–11.5% in the AusDIAB and Prevention of Renal and Vascular End Stage Disease (PREVEND) studies [35–37]. The relationship between hypertension and proteinuria has however not been explored in many epidemiologic studies reported from India [10, 12, 13]. Since these were screening camps, and the fact the renal involvement can be a cause or effect of hypertension, it is difficult to assess if the renal involvement is a predictor or a complication of HTN in our cohort. However, it is important to note this association was observed in a significant number of subjects in the cohort. With adequate management of both HTN and proteinuria, further complications of CVD, retinopathy as well as ESRD can be prevented. Training general practitioners to carry out a simple urine dip-stick test among hypertensive and diabetic subjects would help in detecting these cases early and preventing the progression.
Despite the design of the study wherein a bias may exist for more people with higher awareness of HTN to come to attend the screening camps, we observed a low awareness and control of HTN. Our study demonstrates a much lower HTN awareness than that reported from the USA by Burt et al., an awareness rate of 73% in the National Health and Nutrition Examination Surveys (NHANES III-1988 –1991, [38, 39]. Low awareness of HTN may reflect disparities in health care access, lack of education, the effect of poverty, or a combination of these and other factors. Low awareness of HTN has been observed in other developing countries including China and Pakistan [40–42]. In part, this is because of the low level of literacy and education, but also seems to reflect low level of access to medical care. Indeed, in South Asian countries, awareness correlated with poor access to treatment and therefore to control of hypertension . The challenge posed by low level of awareness must be overcome for prevention through strategies targeted at education and promotion. This lack of awareness underscores the importance of organizing an aggressive community based screening as well as health education campaign to improve awareness of morbidity and mortality due to HTN among the population. Greater commitment and availability of resources targeted at health education will likely to be needed.
Our findings indicate that prevalence of HTN was high in the screened population at 43.5%, with significant center to center variation in prevalence. This effect was observed independently of other risk factors for hypertension and could perhaps reflect regional differences in salt intake and/or other lifestyle practices. The fact that HTN increased with age and was higher for males was consistent with other reports [43, 44]. In the meantime, the prevalence of hypertension of the SEEK study that we carried out in Thailand and Saudi Arabia were found to be 27.5% and 27.7% [45, 46].
Our higher prevalence of HTN compared to some of the other reported series from India and other Asian countries like Pakistan and China may be related to the design of the study (camp module) as opposed to the domiciliary screening method used by others [4, 13, 42]. These differences in prevalence may also be related to the instrument used for the measurement of BP, the definition of hypertension used, and the genetic/anthropologic make up of the population screened. The findings also corroborate those by Keraney et al. where they reported that the “Global burden of Hypertension” will affect more than a quarter of the world’s adult population with HTN in 2000, and was projected to be increased by 60% by about 2025, the population burden being higher in the developing countries .
High prevalence of pre-hypertension (41.5%) in the screened population is also worrisome. A collaborative meta-analysis of individual participant data from one million adults with no previous vascular disease recorded at baseline in 61 prospective observational studies of blood pressure and mortality during 12.7 million person-years at risk was analyzed. The authors observed that throughout middle and old age, blood pressure is strongly and directly related to vascular (and overall) mortality, without any evidence of a threshold down to at least 115/75 mmHg . The Trial Of Preventing Hypertension (TROPHY) also echoed the same observations that the CVD risk begins to rise even before the diagnosis of HTN is made . The JNC 7 calls for routine blood pressure measurement at least once every 2 years for adults with pre-hypertension  and the American Heart Association issued similar recommendations for adults beginning at age 20 years for primary prevention of hypertension . Surveillance of this pre-HTN population particularly among those >40 years of age for early detection of HTN will be essential.
This study had strengths and limitations. Its major strengths were the large sample size and the national distribution of health screening camps, although we did not have representation in the eastern parts of India. We believe that training of staff and use of standardized measurements also reduced the possibility of measurement bias. The main limitation was that we used a camp based methodology for screening rather than domiciliary screening and this may bias in favor of higher rates of disease. Nevertheless, our data adds information on risk factors, the burden of hypertension in the population. Further, this method has been used successfully as a cost effective method of detecting positive cases for screening large populations in the USA for the prevalence of CKD, hypertension and diabetes in the KEEP study . An average of two measurements at a single visit is considered acceptable for an epidemiologic study using screening camps methodology and has been used by other surveys in the USA and other countries [28, 50]. We defined HTN as EBP/self reported medications for HTN/self reported HTN as a positive answer to the question “have you ever been told that you have HTN”. This differs from the definition used by some of the previously reported studies that define HTN as EBP and/or self reported medications for HTN. A single spot urine sample and absence of quantification of albuminuria was also a limitation.
In conclusion, HTN is an important public health problem in India. Reliable information about the prevalence of HTN is germane to the planning of any preventive or therapeutic strategies for HTN in a community. Low level of awareness and control in the HTN population makes it imperative to bring about a change in the way health related education should be brought to this population. An emphasis on education that is related to the control of modifiable predictors of hypertension, such as reducing obesity and abdominal obesity by diet and increasing physical exercise (especially for those involved in sedentary occupations) should be considered. Limiting salt consumption coupled with other lifestyle changes are likely to be one of the cost-effective population-based strategies and need to be considered as part of the public health agenda in India. If scarce resources are to be utilized optimally, control of HTN will help in improving the management of both CVD and CKD.
The SEEK study investigators express their appreciation to Janssen-Cilag India (Kuldeep Pandit and Bhushan Akshikar) and Johnson and Johnson, USA (Dr. Suresh Aravind). The SEEK study group also is grateful to the Indian Society of Nephrology for their strong support of this project.
Role of funding agency
The funding agency had no role in the design, execution, analysis, and report of the data from the SEEK study.
Hinduja Hospital, Mumbai
Vivekananda Memorial Hospital, H.D.Kote, Saragur, Mysore
Manipal Institute of Nephrology and Urology, Bangalore
Deep Hospital, Ludhiana
Indraprastha Apollo Hospital, New Delhi
Bombay Hospital, Mumbai
Fortis Flt. Lt. Rajan Dhall Hospital, New Delhi
Bhopal Memorial Hospital & Research Center, Bhopal
PVS Memorial Hospital, Cochin
Institute of Medical Sciences, BHU, Varanasi
Muljibhai Patel Urological Hospital, Nadiad
Sir Ganga Ram Hospital, New Delhi
Wockhardt Hospitals, Bangalore
Kanpur Rotary Kidney Foundation, Kanpur
Lilavati Hospital, Mumbai
Dr. R.M.Lohia Hospital, New Delhi
Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow
Andhra Medical College and King George Hospital, Vishakhapatanam
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