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Indian Heart Journal logoLink to Indian Heart Journal
. 2021 Feb 17;73(2):236–238. doi: 10.1016/j.ihj.2021.02.007

Prevalence, awareness, treatment and control of hypertension among adults aged 30 years and above in Barmer district, Rajasthan, India

Ramesh Godara a, Elezebeth Mathews a,1, GK Mini b, KR Thankappan a,
PMCID: PMC8065349  PMID: 33865527

Abstractx

We studied awareness, treatment and control of hypertension and factors associated with hypertension prevalence in Barmer district, Rajasthan. A cross-sectional study was conducted among 300 adults aged ≥ 30 years. Data were collected using a modified World Health Organization STEPs tool. Bivariate and multivariate analyses were done to find the factors associated with hypertension prevalence. Hypertension and pre-hypertension prevalence were 22.0% and 50.7% respectively. A quarter (27%) was aware, 25% were on treatment and 9% achieved adequate control of hypertension. Hypertension prevalence was significantly higher among men, older adults, overweight adults and those reported higher income compared to their counterparts.

Keywords: Hypertension prevalence, Control, Rajasthan

1. Introduction

The number of people with hypertension increased from 594 million in 1975 to 1.13 billion in 2015.1 Globally, high systolic blood pressure (SBP) accounted for 10.2 million deaths and 208 million disability-adjusted life years (DALYs) in the year 2017.2 In India, a recent study estimated that there were 207 million persons with hypertension.3 Hypertension was attributed to 1.63 million deaths in India in 2016.4 Overall prevalence of high SBP in India was 21.1% ranging from 18.8% in the low epidemiological transition level (ETL, the ratio of DALYs from communicable diseases to non-communicable disease and injuries combined) states to 26.0% in the high ETL states.5 In a nationally representative study of 1.3 million adults aged ≥ 18 years, hypertension prevalence in rural areas ranged from 14.6% in Chhattisgarh to 38.8% in Kerala and in urban areas from 17.7% in Chhattisgarh to 62.7% in Daman and Diu.6

Rajasthan State belongs to the low ETL group of states.5 Hypertension prevalence in Rajasthan was 18.3% in rural areas and 26.1% in urban areas.6 Since the national program for prevention and control of cancer, cardiovascular diseases, diabetes and stroke (NPCCDS) focuses on hypertension among adults aged ≥ 30 years, it is important to know the community-based prevalence, awareness, treatment and control of hypertension in this age group. We conducted this study in Barmer district of Rajasthan to find out the prevalence, awareness, treatment and control of hypertension and the factors associated with hypertension prevalence.

2. Methods

In this community-based cross-sectional study, 20 villages of Barmer district of Rajasthan were selected by multistage cluster sampling. The total sample size of 300 was estimated based on the hypertension prevalence of Rajasthan (20%).7 The population which was registered in the recently updated voters list constituted the sample frame in the selected Panchayath Samithis, local self-government body for about 200,000 population.8 Out of the 17 Panchayath Samithis in the district, two were selected randomly for the study. From each Panchayath Samithi, 10 villages were selected randomly. From each village, we selected 15 adults aged ≥ 30 years, making a total sample size of 300. The first household in the district was selected randomly from the list of households. The households were then visited continuously until we recruited 15 adults in that village. From each household, one adult aged ≥ 30 years was selected using the KISH method.9 We used the World Health Organization (WHO) STEPs tool for data collection.10 Blood pressure was measured at least three times and the average of the last two readings was taken as the blood pressure value of the individual. If there was a difference of more than 10 mm of Hg in systolic BP and more than 6 mm of Hg in diastolic blood pressure between the second and the third readings the readings were repeated up to five times.

Hypertension was defined as SBP ≥140 mmHg and or diastolic blood pressure (DBP) ≥90 mmHg or on medication for high blood pressure. Body mass index of ≥ 25 kg/m2 was considered as overweight.

Data analysis was done using SPSS version 20. Bivariate and multivariate analyses were done to find out the factors associated with hypertension prevalence.

The Ethical clearance for the study was obtained from the Institutional Human Ethics Committee of the Central University of Kerala. Written informed consent was obtained from all the participants before the survey.

3. Results

The baseline characteristics of the study participants are given in Table 1. Mean age was 45 years (SD: 14.3), women 49%. Mean SBP was 125 and mean DBP was 81 mm of Hg.

Table 1.

Baseline characteristics of the study participants (N = 300).

Variables
N
%
Age group
 <45 172 57.3
 ≥45 128 42.7
Sex
 Men 154 51.3
 Women 146 48.7
Education
 No Schooling 155 51.7
 Others 145 48.3
Occupation
 Home-maker 9 3.0
 Manual laborer 148 49.3
 Private sector employee 40 13.3
 Self-employee 33 11.0
 Government sector employee 15 5.0
 Retired and others 55 18.3
Monthly income (in Indian Rupees)
 <7835 173 57.7
 ≥7835 127 42.3
Marital Status
 Currently Married 280 93.3
 Others 20 6.7
Religion
 Hindu 226 75.3
 Muslim 72 24.0
 Jain 2 0.7
 Family history of HPTN 13 4.3
Current Smoking
 All 88 29.3
 Men only 88 57.1
Current Alcohol consumption
 All 19 6.3
 Men only 19 12.3
Smoking or alcohol consumption
 All 93 31.0
 Men only 93 60.4
Physical Activitya
 Inactive 91 30.3
 Active 209 69.7
 Overweight 23 7.7

Mean income was 7836 rupees (range: 1429–28,333).

a

Self-reported physical activity of at least 150 min per week.

Hypertension and pre-hypertension prevalence were 22% and 50.7% respectively. A quarter (27%) was aware, 25% were on treatment and 9% achieved adequate control of hypertension. Control rates were higher among women (15.8%) compared to men (6.4%). Control rate among treated hypertensives was 35.3%.

Factors associated with hypertension prevalence are given in Table 2.

Table 2.

Factors associated with hypertension (HPTN) prevalence: Results of bivariate and multivariate analyses.

Characteristics
N
Prevalence of HPTN (%)
Adjusted OR (95% CI
Age in years
 <45 172 15(8.7) Reference
 ≥45 128 51(39.8) 5.91(2.77–12.60)
Sex
 Women 146 19(13.0) Reference
 Men 154 47(30.5) 3.12(1.26–7.68)
Overweight
 No 277 50(18.1) Reference
 Yes 23 16(69.6) 4.68(1.62–13.5)
Monthly Income (INR)
 <7835 173 33(19.1) Reference
 ≥7835 127 33(26.0) 2.20(1.13–4.25)

Other factors included in the model were education, tobacco use and alcohol use.

4. Discussion

The prevalence of hypertension in this study was 22% which was lower than the national prevalence.11 Since our sample consisted of adults aged ≥ 30 years the prevalence should have been higher compared to studies on adults sample aged ≥ 18 years. Unlike several other studies, the large majority of our sample had a body mass index below 25 which could be one of the reasons for the low prevalence of hypertension in this population.

Awareness level of hypertension was lower than that was reported in earlier studies.12,13 Among those who were aware, most of them were on treatment. However, the control rate of 9% was less than that of Kerala.14 Significant hypertension control rate of 69% has been reported recently if programs are effectively implemented.15 In spite of the national program (NPCCDS), the awareness, treatment and control rates of hypertension in this population was inadequate and lower than several studies on hypertension in India indicating the need to strengthen this program at the community level.

The large proportion of pre-hypertension in our sample is a concern since most of them are likely to progress to hypertension unless appropriate plans addressing them are implemented.

Men in our sample had significantly higher hypertension prevalence after adjusting for smoking, alcohol consumption and other behaviors which was similar to earlier reports from India.

One important finding of this study was a large proportion of the population belonged to the normal weight category. Since we did not measure the body fat, we are unable to say what proportion of these adults with normal BMI are normal weight obese, an important cardiovascular risk factor in Asian population.

5. Conclusions

This study among a representative sample of 300 rural adults aged ≥ 30 years in the Rajasthan district of Barmer found a hypertension prevalence of 22% and a pre-hypertension prevalence of 50.7%. Over a quarter of them (27%) were aware, 25% were on treatment and 9% achieved adequate control of hypertension. Hypertension prevalence was significantly higher among men, older adults, overweight adults and those reported higher income compared to their counterparts. More than half of this population had pre-hypertension. Efforts should be taken to improve the control rates of hypertension focusing on men, obese adults, older adults and people reporting high income. Those who are in the pre-hypertensive stage should be given special attention so that they don’t progress to hypertension. The national program (NPCCCDS) may address this issue of pre-hypertension in its future action plans.

Key message

Among the 22% hypertensives 27% were aware, 25% were on treatment and 9% achieved adequate control.

Contributor Information

Ramesh Godara, Email: rameshgodara94@gmail.com.

Elezebeth Mathews, Email: dr.elezebethmathews@cukerala.ac.in.

G.K. Mini, Email: gkmini.2014@gmail.com.

K.R. Thankappan, Email: kr.thankappan@gmail.com.

References

  • 1.NCD Risk Factor Collaboration (NCD-RisC) Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants. Lancet. 2017;389:37–55. doi: 10.1016/S0140-6736(16)31919-5. 10064. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.GBD 2017 Risk Factor Collaborators Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1923–1994. doi: 10.1016/S0140-6736(18)32225-6. 10159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Gupta R., Gaur K., Ram S. CV. Emerging trends in hypertension epidemiology in India. J Hum Hypertens. 2019;33(8):575–587. doi: 10.1038/s41371-018-0117-3. [DOI] [PubMed] [Google Scholar]
  • 4.GBD 2016 Disease and Injury Incidence and Prevalence Collaborators Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390:1211–1259. doi: 10.1016/S0140-6736(17)32154-2. 10100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.India State-Level Disease Burden Initiative CVD Collaborators The changing patterns of cardiovascular diseases and their risk factors in the states of India: the Global Burden of Disease Study 1990-2016. Lancet Glob Health. 2018 Dec;6(12):e1339–e1351. doi: 10.1016/S2214-109X(18)30407-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Geldsetzer P., Manne-Goehler J., Theilmann M. Diabetes and hypertension in India: a nationally representative study of 1.3 million adults. JAMA Intern Med. 2018;178(3):363–372. doi: 10.1001/jamainternmed.2017.8094. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Gupta R., Xavier D. Hypertension: the most important non communicable disease risk factor in India. Indian Heart J. 2018;70(4):565–572. doi: 10.1016/j.ihj.2018.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Government of Rajasthan Rural development and panchayati raj department. http://www.rajpanchayat.rajasthan.gov.in/en-us/aboutus/history.aspx Last
  • 9.Kish L. A procedure for objective respondent selection within the household. J Am Stat Assoc. 1949;44(247):380–387. doi: 10.1080/01621459.1949.10483314. [DOI] [Google Scholar]
  • 10.World Health Organization . 2017. STEPs Surveillance Manual.https://www.who.int/ncds/surveillance/steps/STEPS_Manual.pdf Last [Google Scholar]
  • 11.Ramakrishnan S., Zachariah G., Gupta K. Prevalence of hypertension among Indian adults: results from the great India blood pressure survey. Indian Heart J. 2019;71(4):309–313. doi: 10.1016/j.ihj.2019.09.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Mills K.T., Bundy J.D., Kelly T.N. Global disparities of hypertension prevalence and control: a systematic analysis of population-based studies from 90 countries. Circulation. 2016;134(6):441–450. doi: 10.1161/CIRCULATIONAHA.115.018912. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.NCD Risk Factor Collaboration (NCD-RisC) Long-term and recent trends in hypertension awareness, treatment, and control in 12 high-income countries: an analysis of 123 nationally representative surveys. Lancet. 2019;394:639–651. doi: 10.1016/S0140-6736(19)31145-6. 10199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Sarma P.S., Sadanandan R., Thulaseedharan J.V. Prevalence of risk factors of non-communicable diseases in Kerala, India: results of a cross-sectional study. BMJ Open. 2019;9(11) doi: 10.1136/bmjopen-2018-027880. 2019 Nov 10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Schwalm J.D., McCready T., Lopez-Jaramillo P. A community-based comprehensive intervention to reduce cardiovascular risk in hypertension (HOPE 4): a cluster-randomised controlled trial. Lancet. 2019;394:1231–1242. doi: 10.1016/S0140-6736(19)31949-X. 10205. [DOI] [PubMed] [Google Scholar]

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