Abstract
Background:
Tobacco use is a modifiable risk factor for developing cardiovascular diseases, of which hypertension is a major killer. Uncontrolled hypertension (UHT) is a major public health concern that exerts a financial and service burden on the health system.
Aim:
The current analysis aimed to determine the association between tobacco use and UHT among Indian males.
Material and Methods:
Data from the 4th National Family Health Survey (NFHS) of 1,04,120 men aged 15–54 years were used. We estimated the adjusted prevalence ratio for having UHT among reported tobacco users and non-users.
Results:
The prevalence of UHT was the lowest (41.02%) among those who did not consume tobacco in any form. Among tobacco users, those smoking tobacco had the highest prevalence (53.53%) of UHT followed by those using both smoked and smokeless forms of tobacco (43.84%) and those using only smokeless forms of tobacco (42.26%). Factors significantly associated with UHT were alcohol consumption (aPR: 1.30; 95% CI: 1.19–1.43), belonging to the richer wealth quintile (richest quintile- aPR: 1.27; 95% CI: 1.05–1.38), being overweight (aPR: 3.14, 95% CI: 2.35–4.21), and being obese (aPR: 2.89, 95% CI: 2.12–.94). Higher educational status was significantly protective against UHT (aPR: 0.75; 95% CI: 0.63–0.88).
Conclusions:
Tobacco use is significantly associated with hypertension in Indian men. Addressing tobacco control and prevention of UHT remain the cornerstones for achieving the SDG target 3.4 by 2030, which aims to reduce premature mortality from NCDs by a third by 2030 relative to 2015 levels.
Keywords: Indian men, NHFS-4, tobacco use, UHT
Introduction
Cardiovascular diseases continue to be the world’s leading cause of disease burden. Hypertension is one of the foremost modifiable risk factors for cardiovascular diseases. It impacts more than 1 billion individuals globally, with two-thirds living in low- and middle-income economies.[1] Between the years 1975 and 2015, the age-standardized prevalence of high blood pressure decreased globally, by 5.4% in men and 6% in women. In contrast to the worldwide decline in the age-standardized prevalence of hypertension, mean blood pressure has increased among both men and women in Southeast Asia by approximately 3% and 2.5%, respectively.[2] As per the Indian Council of Medical Council Research (ICMR), one in four adults has high blood pressure. Among people with high blood pressure, only half have been diagnosed and only 1 in 10 have blood pressure under control.[3] Uncontrolled hypertension (UHT) can lead to lower quality of life, disability, and rapid progression to cardiovascular and cerebrovascular endpoints. Ischemic heart disease and stroke, two non-communicable diseases related to hypertension, are among the five leading causes of disability-adjusted life years (DALYs) globally. Between the years 1990 and 2017, the global DALYs for non-communicable diseases (NCDs) surged by 40.1% (36.8–43.0). An epidemiological shift in the most common causes of DALYs for males and females both at middle to high sociodemographic index levels, led by NCDs, has been observed.[4] As per a recent mathematical modeling study by Das et al. conducted over 20 years, at 70% coverage and adherence, the hypertension control intervention could avert 1.68% DALYs and save $25.6 million annually on CVD prevention and treatment.[5] The absence of guidelines specific to UHT in India until recently posed an increased challenge towards its prevention and control.[6]
Tobacco use is a well-known modifiable risk factor for cardiovascular disease. It causes mitochondrial oxidative stress that leads to dysfunction of the endothelium and the development of hypertension.[7] The use of tobacco by individuals with hypertension accelerates the disease’s progression and causes early complications.[8]
The overall economic costs of tobacco smoking, including healthcare costs and productivity losses, have been estimated to be 1.8% of the global annual gross domestic product (GDP). Nearly 40% of these costs were borne by developing economies, underlining the significant burden these nations incur.[9] The second Global Adult Tobacco Survey (GATS-2, 2016–17) reports that 42.5% of males and 14.2% of females in India currently use any form of tobacco.[10]
Target 3.4 of the Sustainable Development Goals aims to decrease premature deaths from NCDs to a third by 2030 relative to 2015 levels. India was the first country to define its national NCD monitoring framework in alignment with the global goals. By 2025, the framework targets a 25% reduction in the prevalence of high blood pressure.[11] Control of hypertension, a vital risk factor, will remain one of the most crucial steps toward achieving the SDG goal.[12] An increase in consumption of tobacco products in developing countries may seriously jeopardize the ability to implement effective preventive strategies and manage the rise in regional and national hypertension trends. The 4th National Health Family Survey (NFHS-4), for the first time, has collected data on health-related issues such as hypertension, obesity, and blood glucose levels.
There has been a dearth of literature related to tobacco as an independent risk factor for UHT, particularly in the Indian context. A recent study done on the women of childbearing age (20–35 years) in India based upon the same survey found that the odds of having UHT for tobacco-using women in India was 1.1 (95% CI: 1.01–1.19) times that of tobacco non-users.[13] This study is the first to determine the association between tobacco use and UHT in Indian men by collating the available data. The findings of this analysis may provide fresh evidence to policymakers for strengthening the prevention of hypertension and its effective control in developing nations by integrating with tobacco control as both UHT and tobacco control are amenable to be addressed at the primary health care level.
Material and Methods
Data sources and measurement
The current analysis was conducted on data obtained from the 4th NFHS in 2015–2016. The NHFS-4 was a multi-round survey carried out by the International Institute of Population Sciences Mumbai under the Ministry of Health and Family Welfare, Government of India. This nationwide survey collected data from 601,509 households by employing a stratified two-stage sampling design. The sampling units in rural areas were villages, and in urban areas were census enumeration blocks (CEBs).[14]
The status of tobacco usage and hypertension in 1,04,120 men aged 15–54 years was included in our analysis. The NFHS-4 survey gathered self-reported data on participant’s current use of tobacco products in any form, whether smoked (e.g., cigarette, bidi, cigar, pipe, and hookah) or smokeless tobacco products (e.g., paan masala or gutkha, khaini, paan with tobacco, chewing tobacco, snuff, and other). Men’s blood pressure measurements are also provided in the survey. The participant’s systolic and diastolic blood pressures (SBP and DBP) were recorded three times in a single visit, with at least a 5-min gap between each measurement. All men aged 15–54 years with at least two available readings of blood pressure measurement were included in the analysis; 8002 men, for whom only one reading was available, were excluded from the analysis.
Variables
The NFHS-4 questionnaires (man’s and biomarker) contain questions related to the dependent and independent variables. The dependent variable was taken as the presence or absence of UHT (Related Q. No.: 319, 416, 423, and 427). UHT was defined as individuals who were currently on anti-hypertensive medication with an SBP of ≥140 mm Hg or a DBP of ≥90 mm Hg.[15] We took the mean of the last two available blood pressure readings. Independent variables included were age (Q. No. 103), education level (Q. No. 108), wealth index quintiles (Q. No. 37, 48, 50, 52), place of residence, tobacco (Q. No. 604, 606, 608, 609), alcohol use and (Q. No. 615), having diabetes mellitus (Q. No. 622), and body mass index (Q. No. 205, 206), which is divided into four broad categories: underweight (BMI: 18.5 kg/m2), normal (BMI 18.5–24.9 kg/m2), overweight (BMI: 25–29.9 kg/m2), and obese (BMI: 30 kg/m2).
Individuals were classified as tobacco users if they said they were currently using one or more of the tobacco products at the time of the survey.
Statistical analysis
IBM SPSS Statistics for Windows, Version 22.0 and Stata v17.0, were utilized to code, enter, and analyze data. We undertook weighted analysis to present categorical data (age, education level, wealth index, type of residence, type of tobacco used, alcohol use, BMI, and presence of diabetes mellitus as numbers and percentage, whereas continuous data were displayed as a mean as well the standard deviation (SD). The prevalence was calculated and reported using descriptive statistics as percentage and 95% confidence intervals. The magnitude of the association was given as adjusted prevalence ratios with 95% CI.
Ethical approval
The study was ethically approved by the Ethics Committee of Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh (PGI/IEC/2021/001139).
Results
Prevalence of UHT and tobacco use
The prevalence of UHT among those taking medication to lower BP was 43.84% (95% CI: 41.31–46.4). The proportion of men using any form of tobacco was 45.5% (95% CI: 44.9–46.1). The majority consumed smokeless tobacco [29.1% (95% CI: 28.6–29.6)], followed by smoked form [24.6% (95% CI: 24.1–25.1)]; dual usage was reported to be 8.4% (95% CI: 8.1–8.7).
Factors associated with UHT
An increase in the prevalence of UHT was observed with increasing age [Table 1]. The prevalence of UHT was higher in the age groups of 40–49 years (54.53%) followed by 50–54 years (53.47%). The highest prevalence of UHT was observed in those educated up to the primary level (50.52%). The prevalence was observed to decrease with increasing levels of education; 43.05% in those educated up to higher secondary and 39.46% in those having education higher than higher secondary. The prevalence was observed to be highest in the richer class (47.79%) and lowest in the poorest class (26.61%). Those residing in urban areas had a significantly higher prevalence of UHT as compared to those residing in rural areas (48.17% vs. 39.92%) [Table 1].
Table 1.
Prevalence of UHT by selected background characteristics among hypertensive men aged 15-54 years on medication, India, 2015-16 (n=2588)
| Characteristics | UHT | |||||
|---|---|---|---|---|---|---|
|
| ||||||
| Absent | Present | Total n |
P | |||
|
|
|
|||||
| n | % | n | % | |||
| Age (years) | <0.001 | |||||
| 15-19 | 129 | 97.11 | 8 | 2.89 | 137 | |
| 20-29 | 305 | 82.59 | 65 | 17.41 | 370 | |
| 30-39 | 343 | 61.11 | 225 | 38.89 | 568 | |
| 40-49 | 448 | 45.47 | 506 | 54.53 | 954 | |
| 50-54 | 251 | 46.53 | 308 | 53.47 | 559 | |
| Educational level | 0.027 | |||||
| No education | 173 | 51.58 | 154 | 48.42 | 327 | |
| Primary | 164 | 49.48 | 157 | 50.52 | 321 | |
| Secondary | 805 | 56.95 | 568 | 43.05 | 1373 | |
| Higher Secondary and above | 334 | 60.54 | 233 | 39.46 | 567 | |
| Wealth index | 0.003 | |||||
| Poorest | 153 | 73.39 | 73 | 26.61 | 226 | |
| Poorer | 210 | 58.99 | 138 | 41.01 | 348 | |
| Middle | 298 | 56.89 | 228 | 43.11 | 526 | |
| Richer | 380 | 52.21 | 299 | 47.79 | 679 | |
| Richest | 435 | 54.03 | 374 | 45.97 | 809 | |
| Type of place of residence | 0.014 | |||||
| Urban | 574 | 51.83 | 486 | 48.17 | 1,060 | |
| Rural | 902 | 60.08 | 626 | 39.92 | 1,528 | |
| Tobacco use | 0.216 | |||||
| No | 797 | 58.98 | 556 | 41.02 | 1,353 | |
| Smoking | 274 | 46.47 | 234 | 53.53 | 508 | |
| Smokeless | 267 | 57.74 | 211 | 42.26 | 478 | |
| Dual | 138 | 58.29 | 111 | 43.84 | 249 | |
| Drinks alcohol | <0.001 | |||||
| No | 1057 | 60.73 | 653 | 39.27 | 1710 | |
| Yes | 419 | 47.46 | 459 | 52.54 | 878 | |
| Body mass index | <0.001 | |||||
| Underweight | 193 | 81.97 | 39 | 18.03 | 232 | |
| Normal BMI | 797 | 63.05 | 479 | 36.95 | 1276 | |
| Overweight | 360 | 44.37 | 457 | 55.63 | 817 | |
| Obese | 123 | 46.52 | 132 | 53.48 | 255 | |
| Currently has Diabetes* | 0.010 | |||||
| No | 1351 | 57.64 | 980 | 42.36 | 2331 | |
| Yes | 112 | 45.5 | 123 | 54.5 | 235 | |
| Total | 1476 | 57.0 | 1112 | 43.0 | 2588 | |
*n refers to unweighted numbers and the % are weighted, Cases may not be equal, due to “do not know” or missing values
Among tobacco users, those smoking tobacco (cigarette, bidi, and hookah) had the highest prevalence (53.53%) of UHT followed by those using both smoked and smokeless forms of tobacco (43.84%) and those using only smokeless forms of tobacco (khaini, gutkha, and paan masala with tobacco and other chewable tobacco) (42.26%) [Table 1].
Prevalence of UHT was observed to be the highest in the overweight category (55.63%) followed by those who were obese (53.48%), and the lowest prevalence was observed in those who were underweight (18.03%). The prevalence was higher in those suffering from diabetes mellitus as compared to non-diabetics (54.5% vs. 42.36%) and in those consuming alcohol than in non-drinkers (52.54% vs. 39.27%) [Table 1].
Factors significantly associated with UHT were belonging to the richer wealth quintile (richest quintile- aPR: 1.27; 95% CI: 1.02–1.58), alcohol use (aPR: 1.30; 95% CI: 1.19–1.43), having a normal BMI (aPR: 2.13; 95% CI: 1.59–2.86), being overweight (aPR: 3.14; 95% CI: 2.35–4.21) and being obese (aPR: 2.89; 95% CI: 2.12–3.94). Higher educational status was observed to be significantly protective against UHT: secondary level (aPR: 0.80; 95% CI: 0.69–0.92) and higher than secondary level (aPR: 0.75; 95% CI: 0.63–0.88) [Table 2]. No statistically significant association was observed between the prevalence of UHT and tobacco use: only smoked (aPR: 1.03, P = 0.64), only smokeless (aPR: 1.07, P = 0.24), and dual use (aPR: 0.99, P = 0.99) [Table 2].
Table 2.
Association of tobacco use with UHT among hypertensive men aged 15-54 years currently on medication by selected background characteristics, India, 2015-16
| Variables | aPR | Std. err. | P>z | [95% conf. interval] | |
|---|---|---|---|---|---|
| Tobacco | |||||
| Only smoked | 1.03 | 0.06 | 0.64 | 0.91 | 1.15 |
| Only Smokeless | 1.07 | 0.06 | 0.24 | 0.95 | 1.20 |
| Dual | 0.99 | 0.08 | 0.99 | 0.85 | 1.17 |
| Education level | |||||
| Primary | 0.92 | 0.07 | 0.315 | 0.78 | 1.08 |
| Secondary | 0.80 | 0.05 | 0.001 | 0.69 | 0.92 |
| Higher | 0.75 | 0.06 | <0.001 | 0.63 | 0.88 |
| Wealth quintile | |||||
| Poorer | 1.15 | 0.13 | 0.211 | 0.92 | 1.44 |
| Middle | 1.23 | 0.13 | 0.057 | 0.99 | 1.52 |
| Richer | 1.22 | 0.13 | 0.072 | 0.98 | 1.50 |
| Richest | 1.27 | 0.14 | 0.031 | 1.02 | 1.58 |
| Drinks alcohol | |||||
| Alcohol | 1.30 | 0.06 | <0.001 | 1.19 | 1.43 |
| BMI | |||||
| Normal BMI | 2.13 | 0.32 | <0.001 | 1.59 | 2.86 |
| Overweight | 3.14 | 0.47 | <0.001 | 2.35 | 4.21 |
| Obese | 2.89 | 0.46 | <0.001 | 2.12 | 3.94 |
Overall hypertension
The prevalence of hypertension in the Indian male population aged 15–54 years was 14.62% (95% CI: 14.28–14.98). Overall, the prevalence of hypertension was significantly higher among the urban people compared to rural (16.39 vs. 13.58%), who consume alcohol (19.34% vs. 12.64%), are either overweight (27.28%) or obese (34.1%) compared to those who are underweight (5.73%) and are currently suffering from diabetes (31.41% vs. 14.25%). Prevalence was significantly lower (13.14%) among those who did not consume tobacco in any form compared to tobacco users (16.74%) [Table 3].
Table 3.
Prevalence of hypertension among men aged 15-54 years by selected background characteristics, India, 2015-16 (n*=1,04,120)
| Characteristics | Hypertension | |||||
|---|---|---|---|---|---|---|
|
| ||||||
| Absent | Present | Total n |
P | |||
|
|
|
|||||
| n | % | n | % | |||
| Age (years) | <0.001 | |||||
| 15-19 | 16,823 | 97.42 | 586 | 2.58 | 17,408 | |
| 20-29 | 27,331 | 91.56 | 2842 | 8.45 | 30,173 | |
| 30-39 | 21,594 | 83.03 | 4821 | 16.97 | 26,415 | |
| 40-49 | 15,965 | 75 | 6007 | 25 | 21,972 | |
| 50-54 | 5595 | 72.27 | 2557 | 27.73 | 8152 | |
| Wealth quintile | <0.001 | |||||
| Poorest | 15,436 | 89.56 | 1903 | 10.44 | 17,339 | |
| Poor | 18,960 | 88.38 | 2771 | 11.62 | 21,731 | |
| Middle | 19,289 | 85.45 | 3358 | 14.55 | 22,647 | |
| Richer | 17,799 | 82.78 | 3744 | 17.22 | 21,543 | |
| Richest | 17,044 | 82.55 | 4055 | 17.45 | 21,099 | |
| Educational level | <0.001 | |||||
| No education | 11,350 | 84.03 | 2373 | 15.97 | 13,723 | |
| Primary | 10,769 | 82.81 | 2441 | 17.19 | 13,210 | |
| Secondary | 50,611 | 86.48 | 8864 | 13.52 | 59,475 | |
| Higher Secondary and above | 14,578 | 84.62 | 3135 | 15.38 | 17,713 | |
| Type of place of residence | <0.001 | |||||
| Urban | 31,694 | 83.61 | 7055 | 16.39 | 38,749 | |
| Rural | 55,613 | 86.42 | 9757 | 13.58 | 65,371 | |
| Drinks alcohol | <0.001 | |||||
| No | 62,874 | 87.36 | 10394 | 12.64 | 73,267 | |
| Yes | 24,434 | 80.66 | 6418 | 19.34 | 30,853 | |
| Body mass index | <0.001 | |||||
| Underweight | 18,730 | 94.27 | 1472 | 5.731 | 20,202 | |
| Normal BMI | 55,862 | 86.97 | 9765 | 13.03 | 65,627 | |
| Overweight | 10,596 | 72.72 | 4972 | 27.28 | 15,568 | |
| Obese | 1,748 | 65.9 | 1166 | 34.1 | 2914 | |
| Currently has Diabetes | <0.001 | |||||
| No | 85,387 | 85.75 | 15852 | 14.25 | 1,01,239 | |
| Yes | 1,368 | 68.59 | 848 | 31.41 | 2216 | |
| Tobacco usage | <0.001 | |||||
| No Tobacco | 45,569 | 86.66 | 7195 | 13.14 | 52,764 | |
| Smoking | 14,438 | 82.88 | 3000 | 17.12 | 17,438 | |
| Smokeless | 19,027 | 83.6 | 3809 | 16.4 | 22,836 | |
| Dual | 9,494 | 85.16 | 1,827 | 14.84 | 11,321 | |
*n refers to unweighted numbers and the % are weighted, Cases may not be equal due to “do not know” or missing values
Tobacco use was significantly associated with prevalence of hypertension (only smoked- aPR: 1.11, only smokeless tobacco- aPR: 1.23, dual use- aPR: 1.08; P < 0.001) [Table 3]. Wealth quintile (richest quintile- aPR: 1.51; 95% CI: 1.43–1.61), alcohol consumption (aPR: 1.41; 95% CI: 1.37–.46), being overweight (aPR: 4.17; 95% CI: 3.93–4.43), or obese (aPR: 5; 95% CI: 4.65–5.38) were significantly associated with the prevalence of hypertension [Table 4].
Table 4.
Association of tobacco use with hypertension among men aged 15-54 years by selected background characteristics, India, 2015-16
| Variables | aPR | Std. err. | P>z | [95% conf. interval] | |
|---|---|---|---|---|---|
| Tobacco | |||||
| Only smoked | 1.11 | 0.02 | <0.001 | 1.06 | 1.16 |
| Only Smokeless | 1.23 | 0.02 | <0.001 | 1.188 | 1.28 |
| Dual | 1.08 | 0.02 | 0.001 | 1.03 | 1.14 |
| Education level | |||||
| Primary | 0.92 | 0.02 | 0.004 | 0.88 | 0.97 |
| Secondary | 0.75 | 0.02 | <0.001 | 0.71 | 0.78 |
| Higher | 0.76 | 0.02 | <0.001 | 0.72 | 0.80 |
| Wealth quintile | |||||
| Poorer | 1.18 | 0.03 | <0.001 | 1.11 | 1.24 |
| Middle | 1.30 | 0.03 | <0.001 | 1.24 | 1.38 |
| Richer | 1.45 | 0.04 | <0.001 | 1.37 | 1.53 |
| Richest | 1.51 | 0.04 | <0.001 | 1.43 | 1.61 |
| Drinks alcohol | |||||
| Alcohol | 1.41 | 0.02 | <0.001 | 1.37 | 1.46 |
| BMI | |||||
| Normal BMI | 2.01 | 0.05 | <0.001 | 1.90 | 2.13 |
| Overweight | 4.17 | 0.13 | <0.001 | 3.93 | 4.43 |
| Obese | 5.00 | 0.19 | <0.001 | 4.65 | 5.38 |
Discussion
UHT is a significant cause of ischemic and hemorrhagic strokes, heart failure, and chronic renal failure; these place a significant economic and service burden on healthcare systems. Demographic and epidemiologic transition, accompanied by increasing population of elderly people, increase in sedentary lifestyle, and obesity associated with expanding urbanization, accompanied by other lifestyle factors such as high salt intake, tobacco, and alcohol consumption are contributing to the increasing burden of hypertension in India.[16] Our paper’s findings answer the research question involving two critical public health concerns not only in India but worldwide: UHT and tobacco use. Our study reports the prevalence of UHT to be 43.84% among Indian males aged 15–54 years currently on medication to lower BP. An analysis on Indian women of 20–35 years of age by using the same survey data reports the prevalence of UHT as 6%.[13] The pooled prevalence of UHT was reported to be 48% by a systematic review and meta-analysis done in Ethiopia.[17] A nationwide survey in Thailand found that 25.6% of males had UHT.[18] Another large cross-sectional study done in an Indian state reported a 39% prevalence of UHT.[19] The variations can be explained by the differences in study settings and demographics.
The current study shows that the prevalence of UHT increases with an increase in age and decreases as education level and wealth increases and in urban dwellers. With an increase in household wealth, low- and middle-income countries have witnessed transitions in lifestyle and nutrition leading to increased consumption in high-fat and high-calorie diets accompanied by physical inactivity, following a trend that was observed in the developed countries decades ago.[20] A recent Indian study also reported higher odds of having high blood pressure in those with higher household wealth.[21] However, the lowest prevalence observed in the poorest class could be to lack of awareness leading to under or late diagnosis in them.
Constituents of smoked tobacco (nicotine, carbon monoxide, and oxidant gases) and smokeless forms of tobacco (nicotine, licorice, and sodium) are the major contributors and aggravators of cardiovascular disease.Click or tap here to enter text.[22,23] Among tobacco users, those using smoked forms of tobacco had the highest prevalence of UHT followed by those using both smoked and smokeless forms. A study conducted in Iran to estimate relevant predictors in an adult Iranian population also found high tobacco smoking as one of the main predictors of uncontrolled blood pressure.[24] The Hypertension Optimal Treatment (HOT) study also found UHT to be associated with tobacco smoking.[25] However, the prevalence of UHT (among those taking medication for hypertension) was not significantly different among smoked and smokeless tobacco users. This could mean that tobacco use is a significant risk factor for having high BP, while its association with UHT, though aPR >1, was not statistically significant. This, being a cross-sectional study, could be affected by a bias of under-reporting, and those diagnosed as UHT may have consciously quit tobacco use after some intervention or by self-motivation.
Increased weight gain accompanied with visceral adiposity is a major cause of hypertension, accounting for up to 75% risk for essential hypertension.[26] Accumulation of adipose tissue in the heart causes various adaptations and alterations besides causing an altered metabolic profile.[27] Another significant observation in our study is that an increase in BMI is associated with an increased risk of having UHT. Overweight or obese individuals had a 4–5 times higher prevalence of UHT. A study in western India to study the risk predictors of UHT also reported increased BMI as one of the significant attributes for poor BP control.[28]
Our study also finds that another established risk factor for non-communicable diseases, that is, alcohol, is also independently associated with UHT. Ethanol chronically consumed in large amounts acts as a toxin to the heart and vasculature. The cardiac injury produced by chronic alcohol abuse can lead to heart failure and eventual death. Furthermore, alcohol abuse may exacerbate preexisting heart conditions such as hypertension and cardiomyopathy.[29] The CONSTANCES population-based study also revealed that the odds of UHT were 1.3 times more with high alcohol consumption in comparison to mild-or-never drinking.[30]
Strengths
The present paper presents an analysis done using the data from NHFS-4, which is a nationally representative survey. The study included the variables, the data for which has been collected for the first time in the Indian context, namely hypertension, obesity, and diabetes. The study adds to the growing body of evidence establishing a link between tobacco use and UHT, particularly in the Indian context, which may have policy implications for larger public health benefits.
Limitations
NFHS-4 reports data for men aged 15–54 years. The exclusion of older men might have influenced the findings. Because the tobacco use data is based on self-reporting, there is a possibility of reporting bias. The social stigma associated with tobacco use and resultant reporting bias may have led to underestimating the results. Further, only current use of tobacco is measured. Thus, users of tobacco who had quit, especially after a diagnosis of hypertension, may have influenced the strength of association between tobacco use and UHT. Data regarding the optimality of treatment for hypertension was not available and could not be inferred. The study’s cross-sectional nature prevents us from drawing causal inferences.
Conclusions
The analysis demonstrates a statistically significant independent association between tobacco use and hypertension in Indian men and lists the independent risk factors for UHT-alcohol consumption, belonging to richer wealth quintile, and increased BMI. Effective prevention of UHT cannot be possible without addressing the established risk factors, which mainly include tobacco, alcohol, high BMI, and diabetes mellitus. Addressing tobacco control and prevention of UHT could be the critical interventions toward achieving the SDG target 3.4 and national targets, which aim at decreasing premature deaths from NCDs through prevention and treatment by 2030. As prevention of UHT and tobacco control are amenable to be managed at the primary health care level, integration of National Program for Non-Communicable Diseases (NPCDCS) with the National Tobacco Control Program (NTCP) can more effectively address the critical risk factor and strengthen NCD prevention. Scaling up screening for risk factors, awareness generation, and offering cessation services at the existing NCD clinics at CHC and district level[31] by leveraging strengths of the existing primary health care system and inter-sectoral coordination, the dual burden of tobacco and UHT can be reduced. Besides, roping in existing telemedicine services and health and wellness centers (HWCs) under the flagship scheme of Ayushman Bharat, the Government of India can also support timely identification of risk factors and the population at risk to monitor the progression of disease along with improving the accessibility to health services. Further research in public health practice concerning hypertension and different forms of tobacco would provide impetus to efforts aimed at reduction in NCD rates.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
Acknowledgements
The authors would like to acknowledge and thank Resource Center for Cardiovascular Health (RCCVH) established under Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh for providing technical support toward writing the manuscript. We are also grateful to Global Health Advocacy Incubator (GHAI) for supporting the study (Grant number-INDIA-RIIR-20) and Demographic and Health Surveys (DHS) Program for providing the data set (survey ref no. 155509 downloaded on June 3, 2021) which helped in the development of the manuscript.
References
- 1.World Health Organisation. Fact sheets-Hypertension. [Last accessed on 2021 Aug 10]. Available from:https://www.who.int/news-room/fact-sheets/detail/hypertension .
- 2.Zhou B, Perel P, Mensah GA, Ezzati M. Global epidemiology, health burden and effective interventions for elevated blood pressure and hypertension. Nat Rev Cardiol. 2021;18:785–802. doi: 10.1038/s41569-021-00559-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Indian Council of Medical Research. Press Release Expansion for India Hypertension Control Initiative (IHCI) [Last accessed on 2021 Nov 26]. Available from:http://icmr.gov.in .
- 4.Kyu HH, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, et al. Global, regional, and national Disability-adjusted life-years (DALYs) for 359 diseases and injuries and Healthy life expectancy (HALE) for 195 countries and territories, 1990-2017:A systematic analysis for the Global burden of disease study 2017. Lancet. 2018;392:1859–922. doi: 10.1016/S0140-6736(18)32335-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Das H, Moran AE, Pathni AK, Sharma B, Kunwar A, Deo S. Cost-effectiveness of improved hypertension management in India through increased treatment coverage and adherence:A mathematical modeling study. Glob Heart. 2021;16:37. doi: 10.5334/gh.952. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Padmanabhan R, Singh RG, Unni G, Desai B, Hiremath SK, Jain V, et al. Multidisciplinary consensus document on the management of uncontrolled hypertension in India. High Blood Press Cardiovasc Prev. 2020;27:215–23. doi: 10.1007/s40292-020-00385-y. [DOI] [PubMed] [Google Scholar]
- 7.Dikalov S, Itani H, Richmond B, Arslanbaeva L, Vergeade A, Rahman SMJ, et al. Tobacco smoking induces cardiovascular mitochondrial oxidative stress, promotes endothelial dysfunction, and enhances hypertension. Am J Physiol Heart Circ Physiol. 2019;316:H639–46. doi: 10.1152/ajpheart.00595.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Sarkar A, Roy D, Chauhan M, Makwana NR, Parmar DV, Yadav S. A study on the pattern of self-reported tobacco addiction in hypertensive patients in Gujarat, India. Addict Health. 2019;11:35–42. doi: 10.22122/ahj.v11i1.223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Goodchild M, Nargis N, D'Espaignet ET. Global economic cost of smoking-attributable diseases. Tob Control. 2018;27:58–64. doi: 10.1136/tobaccocontrol-2016-053305. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.World Health Organisation. Global Adult Tobacco Survey-2 fact sheet- India. :2016–17. Available from:GATS2 (Global Adult Tobacco Survey) Fact Sheet, India, 2016-17 (who.int) [Google Scholar]
- 11.Government of India. Ministry of Health and family Welfare. National Multisectoral Action Plan (NMAP) for Prevention and Control of Common NCDs (2017-22) Available from:NMAP Display 25 March 2019 REV.cdr (mohfw.gov.in) [Google Scholar]
- 12.Kintscher U. The burden of hypertension. EuroIntervention. 2013;9((Suppl R)):R12–5. doi: 10.4244/EIJV9SRA3. [DOI] [PubMed] [Google Scholar]
- 13.Datta BK, Husain MJ. Uncontrolled hypertension among tobacco-users:Women of prime childbearing age at risk in India. BMC Womens Health. 2021;21:146. doi: 10.1186/s12905-021-01280-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Government of India. National Family Health Survey (NFHS-4) 2015-16 India. 2017. Available from:http://www.rchiips.org/nfhs .
- 15.Vital Signs:Awareness and Treatment of UHT Among Adults —United States, 2003–2010. [Last accessed on 2021 Aug 10]. Available from:https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6135a3.htm .
- 16.Government of India. Ministry of Health and Family Welfare. Screening, Diagnosis, Assessment, and Management of Primary Hypertension in Adults in India. [Last accessed on 2021 Aug 10]. Available from:https://nhm.gov.in/images/pdf/guidelines/nrhm-guidelines/stg/Hypertension_full.pdf .
- 17.Amare F, Hagos B, Sisay M, Molla B. Uncontrolled hypertension in Ethiopia:A systematic review and meta-analysis of institution-based observational studies. BMC Cardiovasc Disord. 2020;20:129. doi: 10.1186/s12872-020-01414-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Sakboonyarat B, Rangsin R, Kantiwong A, Mungthin M. Prevalence and associated factors of uncontrolled hypertension among hypertensive patients:A nation-wide survey in Thailand. BMC Res Notes. 2019;12:380. doi: 10.1186/s13104-019-4417-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Tripathy JP, Thakur JS, Jeet G, Chawla S, Jain S. Alarmingly high prevalence of hypertension and pre-hypertension in North India-results from a large cross-sectional STEPS survey. PLoS One. 2017;12:e0188619. doi: 10.1371/journal.pone.0188619. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Newton S, Braithwaite D, Akinyemiju TF. Socio-economic status over the life course and obesity:Systematic review and meta-analysis. PLoS One. 2017;12:e0177151. doi: 10.1371/journal.pone.0177151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Corsi DJ, Subramanian SV. Socioeconomic gradients and distribution of diabetes, hypertension, and obesity in India. JAMA Netw Open. 2019;2:e190411. doi: 10.1001/jamanetworkopen.2019.0411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Tonstad S, Andrew Johnston J. Cardiovascular risks associated with smoking:A review for clinicians. Eur J Cardiovasc Prev Rehabil. 2006;13:507–14. doi: 10.1097/01.hjr.0000214609.06738.62. [DOI] [PubMed] [Google Scholar]
- 23.National Institutes of Health. U. S. Department of Health and Human services. National Cancer Institute. Smokeless Tobacco and Public Health:A Global Perspective, GST Report. Available from:Smokeless Tobacco and Public Health:A Global Perspective, GST Report (cancer.gov) [Google Scholar]
- 24.Mirzaei M, Mirzaei M, Bagheri B, Dehghani A. Awareness, treatment, and control of hypertension and related factors in adult Iranian population. BMC Public Health. 2020;20:667. doi: 10.1186/s12889-020-08831-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Holanger M, Kjeldsen SE, Jamerson K, Julius S HOT Study investigators. Smoking and overweight associated with masked uncontrolled hypertension:A Hypertension optimal treatment (HOT) sub-study. Blood Press. 2021;30:51–9. doi: 10.1080/08037051.2020.1787815. [DOI] [PubMed] [Google Scholar]
- 26.Hall JE, do Carmo JM, da Silva AA, Wang Z, Hall ME. Obesity-induced hypertension:Interaction of neurohumoral and renal mechanisms. Circ Res. 2015;116:991–1006. doi: 10.1161/CIRCRESAHA.116.305697. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Poirier P, Giles TD, Bray GA, Hong Y, Stern JS, Pi-Sunyer FX, et al. Obesity and cardiovascular disease:Pathophysiology, evaluation, and effect of weight loss:An update of the 1997 American heart association scientific statement on obesity and heart disease from the obesity committee of the council on nutrition, physical activity, and metabolism. Circulation. 2006;113:898–918. doi: 10.1161/CIRCULATIONAHA.106.171016. [DOI] [PubMed] [Google Scholar]
- 28.Choudhary R, Sharma SM, Kumari V, Gautam D. Awareness, treatment adherence and risk predictors of uncontrolled hypertension at a tertiary care teaching hospital in Western India. Indian Heart J. 2016;68(Suppl 2(Suppl 2)):S251–2. doi: 10.1016/j.ihj.2016.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Gardner JD, Mouton AJ. Alcohol effects on cardiac function. Compr Physiol. 2015;5:791–802. doi: 10.1002/cphy.c140046. [DOI] [PubMed] [Google Scholar]
- 30.Cherfan M, Vallée A, Kab S, Salameh P, Goldberg M, Zins M, et al. Unhealthy behavior and risk of hypertension:The CONSTANCES population-based cohort. J Hypertens. 2019;37:2180–9. doi: 10.1097/HJH.0000000000002157. [DOI] [PubMed] [Google Scholar]
- 31.Bhatt G, Goel S. Using non-communicable disease clinics for tobacco cessation:A promising perspective. Natl Med J India. 2018;31:172–5. doi: 10.4103/0970-258X.255763. [DOI] [PubMed] [Google Scholar]
