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Prevalence of Hypertension and Its Risk Factors among Adults in a Rural Community of Hooghly District
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Journal of Hypertension: Open Access

ISSN: 2167-1095

Open Access

Research Article - (2020) Volume 9, Issue 2

Prevalence of Hypertension and Its Risk Factors among Adults in a Rural Community of Hooghly District

Utsa Basu*
*Correspondence: Utsa Basu, Department of Cardiology, Royal College of Physicians, UK, Tel: +919432658968, Email:
Department of Cardiology, Royal College of Physicians, UK

Received: 23-May-2020 Published: 18-Jun-2020 , DOI: 10.37421/2167-1095.2020.9.264
Citation: Utsa Basu. "Prevalence of Hypertension and Its Risk Factors among Adults in a Rural Community of Hooghly District". J Hypertens (Los Angel) 9 (2020) doi: 10.37421/2167-1095.9.264
Copyright: © 2020 Basu U. 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.

Abstract

Hypertension (HTN) is an important public health problem in both economically developed and developing nations. As per NFHS-4 prevalence rates for hypertension in rural India is 9.8% in men and 6.5% in women, and in rural West Bengal it is 8.8% in men and 7.2% in women (In the Age group 15-49 years). Hypertension is thought to be less common in rural areas, though data is limited and estimates vary widely depending on the methodology used. Hence such, community based studies on hypertension has now become an utmost necessity to not only assess the prevalence of hypertension & its risk factors among adults, but also to plan preventive strategies & promote the health of population in the rural communities of Bengal. To estimate the prevalence of hypertension, and to identify the risk factors of hypertension in the population, a study among adults of the rural community of Singur Block, Hooghly District of West Bengal was conducted.

Method: It was a community based cross sectional study, where 300 adults from 120 randomly selected households from one of the randomly selected villages, under the service area of Rural Health Unit and Training Centre Singur were studied for 6 months.

Results: Using the JNC VII criteria, Out of 300 study population, 45% were found to be hypertensive with 54.8% male and 45.2% female. Significant association was found with age, tobacco and alcohol addiction, extra salt intake, low fruit consumption, positive family history, stress, low physical activity, BMI and abdominal obesity while association with marital status, religion, caste, SES, educational qualification and nature of work was insignificant.

Conclusions: The prevalence of hypertension was found to be on the higher side compared to some previous reports of India and other Asian studies. It is therefore necessary to create awareness among the study population regarding adoption of healthy lifestyle measures for control of blood pressure.

Keywords

Hypertension • JNC VII • Risk factor • WHO

Introduction

Hypertension (HTN) is an important public health problem in both economically developed and developing nations [1]. As per World Health Organization report, about 40% of people aged more than 25 years had hypertension in 2008 [2]. Worldwide, 7.6 million premature deaths (about 13.5% of the global total) were attributed to high blood pressure. About 54% of stroke and 47% of ischemic heart disease worldwide were attributable to high blood pressure [3]. Hypertension has been associated with increased risk of coronary artery disease and is an independent risk factor for cardiovascular and cerebro-vascular diseases [4,5]. Hypertension is a major risk factor for CVDs, including stroke and myocardial infarction, and its burden is increasing disproportionately in developing countries as they undergo demographic transition [6-9]. As per NFHS-4 prevalence rates for hypertension in rural India is 9.8% in men and 6.5% in women, and in rural West Bengal it is 8.8% in men and 7.2% in women (In the Age group 15-49 years). Hypertension is thought to be less common in rural areas, though data is limited and estimates vary widely depending on the methodology used [10-14]. Previously identified risk factors for hypertension in Indians including higher body mass index (BMI), abdominal obesity, greater age, greater alcohol consumption, sedentary lifestyle and stress [10,12,14] and also Chronic diseases, high salt intake, lack of fruits (low potassium), Positive family history etc., together with hypertension itself, have been identified as risk factors [6,7].

The study was carried out to find prevalence of hypertension and its risk factors in a rural community of Singur Block.

Objectives

• To determine the prevalence of hypertension among adults (≥18years) in the selected rural community of Hooghly District.

• To identify the risk factors of hypertension in the population.

Methodology

Study settings

The study was conducted in a rural community of Singur block, Hooghly district of West Bengal which is the rural field practice area of All India Institute of Hygiene & Public Health, Kolkata.

Time line

The study was conducted for 6 months starting from April 2017 to September 2017.

Study population

People aged 18 years and more, residing at the study area.

Inclusion criteria

All the inhabitants aged 18 years and more.

Exclusion criteria

Unwilling individuals and severely ill patients.

Study variables

Dependent variables:

Prevalence of hypertension (Known hypertensive or found to be hypertensive during study as per JNC 7 criteria.)

Independent variables:

Demographic factors (Age, sex, religion, marital status, caste, type of family.)

Socio-economic factors (Education, occupation, income).

Behavioral factors (smoking, alcoholism, physical activity, Stress, dietary habit including salt intake)

BMI and Waist Circumference

Family history of hypertension

Study tools

• Pre-designed structured schedule.

• Stethoscope

• Blood pressure measuring apparatus (aneroid type)

• Non-stretchable Measuring tape

• Weighing Machine calibrated.

Sample size

Considering the prevalence of hypertension 10% [15-18] among rural adult people in India with the Confidence level as 99% and absolute error 5%, the sample size calculated was 240 after applying the formula- Sample size = (2.58) 2pq / d2 (p=prevalence, q=1-p &d= absolute error 5%)

Sampling design

Out of the 64 villages under Rural Health Unit and Training Center Singur (RHU&TC), one village was selected by simple random sampling. The selected village was Dearah.

The total population at Dearah was 2347 and the number of household was 560. (Records of RHU&TC Singur and Nasibpur union health center, Dearah)

Assuming number of adults on an average in each household is 2, One hundred and twenty (120) households were selected by simple random sampling using random number table, for obtaining the calculated sample size of 240.

All adults in 120 households were considered in the study as per inclusion criteria and a total of 300 adults were obtained.

Method of data collection

All the participants were explained about the purpose of the study that this was an academic research in nature and all data provided by the participants would be kept confidential. After obtaining their approval regarding participation in this study the consent paper was duly signed by them. Then information was obtained about their socio-demographic character, dietary pattern, salt intake, alcohol consumption smoking habit and physical activity. Each participant was examined for Blood Pressure (using JNC VII Guidelines) along with height, weight and waist circumference following WHO standard techniques. History regarding preexisting Hypertension was obtained and previous records like prescription or OPD tickets, if any was also analyzed. Information was recorded in a predesigned and pretested schedule for data collection.

Data analysis

Data were analysed using the SPSS statistical software program (version 20).

Descriptive statistics were performed.

Results

A person was considered as suffering from hypertension if systolic blood pressure (SBP) was 140 mm Hg or above and/or diastolic blood pressure (DBP) 90 mm Hg and above or was already under treatment for hypertension (Tables 1-7).

Table 1: Distribution of participants according to Socio-demographic Characteristics (n=300).

  Sex Total
Female Male  
Age (in years) <21 15 (8.88%) 11 (8.40%) 26 (8.7%)
21 – 30 20 (11.83%) 6 (4.58%) 26 (8.7%)
31 - 40 56 (33.14%) 30 (22.9%) 86 (28.7%)
41 - 50 33 (19.53%) 46 (35.11%) 79 (26.3%)
51 – 60 28 (16.57%) 27 (20.61%) 55 (18.3%)
61 – 70 15 (8.88%) 11 (8.4%) 26 (8.7%)
>71 2 (1.18%) 0 (0%) 2 (0.7%)
Marital Status Currently Married 156 (92.31%) 129 (98.47%) 285 (95%)
Divorced or Separated 3 (1.78%) 1 (0.76%) 4 (1.3%)
Widower/widow 10 (5.92%) 1 (0.76%) 11 (3.7%)
Religion Hindu 152 (89.94%) 116 (88.55%) 268 (89.3%)
Muslim 17 (10.06%) 15 (11.45%) 32 (10.7%)
Caste SC 43 (25.44%) 29 (22.14%) 72 (24%)
General 126 (74.56%) 102 (77.86%)  228 (76%)
Education Illiterate 7 (4.14%) 6 (4.58%) 13 (4.3%)
Literate 15 (8.88%) 16 (12.21%) 31 (10.3%)
Primary 90 (53.25%) 59 (45.04%) 149 (49.7%)
Middle 44 (26.04%) 39 (29.77%) 83 (27.7%)
Secondary 8 (4.73%) 7 (5.34%) 15 (5%)
Higher secondary and above 5 (2.96%) 4 (3.05%) 9 (3%)
Nature of Work Unemployed 34 (20.12%) 23 (17.56%) 57 (19%)
Unskilled labour 64 (37.87%) 51 (38.93%) 115 (38.3%)
Semiskilled labour 14 (8.28%) 14 (10.69%) 28 (9.3%)
Skilled labour 13 (7.69%) 8 (6.11%) 21 (7%)
Technical or Office staff 5 (2.96%) 8 (6.11%) 13 (4.3%)
Business 39 (23.08%) 27 (20.61%) 66 (22%)
Per Capita Income
(In Rs.) (Modified
B.G.Prasad scale- 2014)
Lower Middle Class (812-1569) 33 (19.53%) 25 (19.08%) 58 (19.3%)
Middle Class (1570-2651) 105 (62.13%) 80 (61.07%) 185 (61.7%)
Upper Middle Class (2652-5356) 31 (18.34%) 26 (19.85%) 57 (19%)
Type of Family Nuclear 42 (24.85%) 39 (29.77%) 81 (27%)
Joint 127 (75.15%) 92 (70.23%) 219 (73%)
Total 169 (56.3%) 131 (43.7%) 300 (100%)

Table 2: Distribution of Hypertensive Population as per Age and Sex (n=300).

Age in Years Hypertension* Total
No Yes
<21 Female 15 (100%) 0 (0%) 15
Male 11 (100%) 0 (0%) 11
21 - 30 Female 13 (65%) 7 (35%) 20
Male 2 (33.3%) 4 (66.7%) 6
31 - 40 Female 44 (78.6%) 12 (21.4%) 56
Male 13 (43.3%) 17 (56.7%) 30
41 - 50 Female 20 (60.6%) 13 (39.4%) 33
Male 18 (39.1%) 28 (60.9%) 46
51 - 61 Female 14 (50%) 14 (50%) 28
Male 13 (48.1%) 14 (51.9%) 27
61 - 70 Female 0 (0%) 15 (100%) 15
Male 0 (0%) 11 (100%) 11
>71 Female 2 (100%) 0 (0%) 2
  Male 0 (0%) 0 (0%) 0
Total Female 108 (63.9%) 61 (36.1%) 169
  Male 57 (43.5%) 74 (56.5%) 131
  Total 165 (55%) 135 (45%) 300

Table 3: Distribution of Hypertensive Population as per Sex and previously diagnosed hypertensive status (n=300).

Sex Hypertension* Total
No Yes
Female Diagnosed Hypertensive Yes 0 (0%) 19 (100%) 19 (100%)
Don’t Know 66 (84.6%) 12 (15.4%) 78 (100%)
No 42 (58.3%) 30 (41.7%) 72 (100%)
Total 108 (63.9%) 61 (36.1%) 169 (100%)
Male Diagnosed Hypertensive Yes 0 (0%) 8 (100%) 8 (100%)
Don’t Know 44 (78.6%) 12 (21.4%) 56 (100%)
No 13 (19.4%) 54 (80.6%) 67 (100%)
Total 57 (43.5%) 74 (56.5%) 131 (100%)
Total Diagnosed Hypertensive Yes 0 (0%) 27 (100%) 27 (100%)
Don’t Know 110 (82.1%) 24 (17.9%) 134 (100%)
No 55 (39.6%) 84 (60.4%) 139 (100%)
Total 165 (55%) 135 (45%) 300 (100%)

Table 4: Distribution of Hypertensive and non-hypertensive study subjects according to socio-demographic characteristics (n=300).

Characteristic Hypertension Total Chi-Square, p-Value
No Yes
Age (in Years) < 60 161 107 268 26.142, p<0.0001
60.1% 39.9%  
≥60 4 28 32
12.5% 87.5%  
Sex Female 108 61 169 12.401, p<0.0001
63.9% 36.1%  
Male 57 74 131
43.5% 56.5%  
Marital Status Currently Married 159 126 285 1.931, p=0.381
55.8% 44.2%  
Divorced or separated 1 3 4
25% 75%  
Widower or widow 5 6 11
45.5% 54.5%  
Religion Hindu 143 125 268 2.736, p=0.098
53.4% 46.6%  
Muslim 22 10 32
68.8% 31.2%  
Caste SC 46 26 72 3.024, p=0.082
63.9% 36.1%  
General 119 109 228
52.2% 47.8%  
Educational Qualification Below Primary 22 22 44 0.521, p=0.47
50% 50%  
Primary & Above 143 113 256
55.9% 44.1%  
Nature of Work Unemployed 29 28 57 0.483, p=0.487
50.9% 49.1%  
Employed 136 107 243
56% 44%  
Socio-Economic Status Below Middle Class (<1570) 35 23 58 0.83, p=0.362
60.3% 39.7%  
Middle Class & Above (≥1570) 130 112 242
53.7% 46.3%  

Table 5: Distribution of Hypertensive and non-hypertensive study subjects according to addiction (n=300).

Characteristic Hypertension Total Chi-square, 
 p-value
No Yes
Current Tobacco Use Yes 36 79 115 42.307, p<0.0001
31.3% 68.7%  
No 129 56 185
69.7% 30.3%  
Past Tobacco Use Yes 9 28 37 45.174, p<0.0001
24.3% 75.7%  
No 120 28 148
81.1% 28.9%  
Current Alcohol consumption Yes 11 72 83 63.932, p<0.0001
13.3% 86.7%  
No 154 63 217
70.9% 29.1%  
Past Alcohol consumption Yes 5 41 46 176.51, p<0.0001
10.9% 89.1%  
No 169 2 171
98.8% 1.2%  

Table 6: Distribution of Hypertensive and non-hypertensive study subjects on basis of consumption of fruits, fruit juice and extra salt (n=300).

Characteristic Hypertension Total Chi-Square, p-Value
NO YES
Fruits Taken 51 6 57 33.79, p<0.0001
89.4% 10.6%  
Not Taken 114 129 243
46.9% 53.1%  
 Fruit Juice Taken 50 14 64 17.58, p<0.0001
78.1% 21.9%  
Not Taken 115 121 236
48.7% 51.3%  
Extra salt Taken 36 135 171 185.167, p<0.0001
21.1% 78.9%  
Not Taken 129 0 129
100% 0  

Table 7: Distribution of Hypertensive and non-hypertensive study subjects according to some risk factors (n=300).

Risk Factors Hypertension Total Chi-Square, p-Value
No Yes
Family History of Hypertension Absent 0 8 8 16.057, p<0.0001
0% 100%  
Present 131 60 191
68.6% 31.4%  
Total 131 68 199*
OCP Use Yes 94 32 126 24.570, p<0.0001
74.6% 25.4%  
No 14 29 43
32.5% 67.5%  
Total 108 61 169#
Stress Stress 85 135 220 89.256, p<0.0001
38.6% 61.4%  
No Stress 80 0 80
100% 0%  
Physical Activity Low 21 90 111 92.676, p<0.0001
18.9% 81.1%  
Moderate & Above 144 45 189
76.2% 23.8%  
Waist Circumference Risk 28 128 156 180.266, p<0.0001
17.9% 82.1%  
No Risk 137 7 144
95.1% 4.9%  
B.M.I. Category Normal 106 3 109 123.465, p<0.0001
97.2% 2.8%  
Over Weight & Above 59 132 191
30.9% 69.1%  

Discussion

The findings of this study showed that a 43.7% of the study population was Male and 56.3% was Female. Out of the total study population, 28.7% were in the age group of 31-40 years followed by 26.3% in the age group of 41-50 years. They were mostly currently married (95%), Hindu religion (89.3%), general caste (76%) with majority (49.7%) having Primary education, and mostly (38.3%) working as Unskilled labour and 61.7% belonging to Middle Class (as per Modified B.G. Prasad Scale).

Overall 45% of the study population was found to be hypertensive with majority (54.8%) male and 45.2% female.

Using the JNC VII Criteria in our study we found a prevalence of hypertension was 45%. The proportion of hypertension (56.5%) was found among male and 36.1% among female. The prevalence of hypertension in India was reported as ranging from 10 to 30.9 % [19].

Some studies like Rao et al. (4.89%), Madhu kumar et al. (8.06%), Thrift et al. (11.40%), Ghosh et al. (11.43%) Kumar et al. (13.17%), vinay et al. (12.75%). Midha et al. (14.50%). Parekh et al. (20.40%), Basu and Biswas (21.90%), Yuvaraj et al. (18.30%), Bhardwaj et al. (15.40%), study by Pooja & Mittal (33.20%) and Meshram et al. (23%) showed lower prevalence than present study [20-32].

In the present study the prevalence of hypertension was more among male than females (56.5% & 36.1%). Similar finding reported by Yuvaraj et al. greater proportion of hypertension was observed among males (19.10%) as compared to females (17.50%) among rural population of Davanagere [29] Bhardwaj, et al. reported 41.60% in male & 34.60% in female and Meshram, et al. reported (27.70% & 19.30%) [30-32].

So it is clear that in some regions of India hypertension is more prevalent among males than females. Blood pressure rises with age in both sexes. Age probably represents an accumulation of environmental influences and the effects of genetically programmed senescence in body systems.

On the other hand among rural adults, the highest prevalence (50.50%) of hypertension was reported in the population of Nicobar Island [33] and the lowest (4.50%) in the population of Haryana [34]. These differences in the prevalence of hypertension in these studies might be due to the variation in socio-economic status, lifestyle, genetic make-up and biological diversity.

It can be concluded from the present study that the prevalence of hypertension in both sexes and in rural populations is increasing at an alarming rate. If this increasing trend in the prevalence of hypertension would go with the same pace then after few years more than fifty per cent population of India would be under the trap of cardiovascular diseases. The effective control and hypertension in India will require a centralized campaign with policy strategies applied at multiple levels. Thus, there is an urgent need to develop suitable strategies for prevention of hypertension in India. Such changes of blood pressure with age might be due to changes in vascular system. Cross sectional surveys, as well as prospective observational cohort studies, have consistently demonstrated a positive relation between age and blood pressure in most populations with diverse geographical, cultural and socioeconomic characteristics [35].

In our study we found that increased body mass index was significantly associated with hypertension. Similar findings were reported by Yadav et al. [36]. Also tobacco and alcohol was significantly associated with hypertension in the study population. Similar finding was reported by Malhotra et al. [37].

Conclusion

The prevalence of hypertension in the rural population was found to be on the higher side compared to some previous reports of India and other Asian studies. It shall be important to follow this population in the future to see the trend of BP in the rural India. The study also has indirectly pointed out that even though there is existing programme, there is inadequacy from the perspective of public health and that we have not been able to do enough to prevent the problem.

More detailed research is recommended to identify the other associated lifestyle and environmental factors, which might be involved in inducing these conditions. Lifestyle modifications should be used as initial therapy to control BP in all patients with hypertension. Prevention of tobacco and alcohol consumption would be an important intervention in preventing the ongoing upswing in prevalence of chronic heart disease.

Adoption of healthy lifestyle in regard to behavioral risk factors may improve the situation and thus by taking initiative in arranging health awareness campaign in grassroots level in collaboration with local administrative authority at regular interval, lifestyle of the respondents may improve.

References

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