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      Patterns of Tobacco Use Across Rural, Urban, and Urban-Slum Populations in a North Indian Community

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          Abstract

          Background:

          Tobacco is the leading cause of mortality globally and in India. The magnitude and the pattern of tobacco consumption are likely to be influenced by the geographical setting and with rapid urbanization in India there is a need to study this differential pattern.

          Aim:

          The aim was to study the rural, urban, and urban-slum differences in patterns of tobacco use.

          Settings:

          The study was conducted in Ballabgarh block, Faridabad district, Haryana, and was a community-based cross-sectional study.

          Materials and Methods:

          The study was conducted in years 2003-2004 using the WHO STEPS approach with 7891 participants, approximately equal number of males and females, selected using multistage sampling from urban, urban-slum, and rural strata.

          Statistical Analysis:

          The analysis was done using the SPSS 12.0 statistical package (SPSS Inc., Chicago, IL, USA). Direct standardization to the WHO world standard population was done to and chi-square and ANOVA tests were used for comparison across three study settings.

          Results:

          Self-reported tobacco use among males was as follows: urban 35.2%; urban-slums 48.3%; and rural 52.6% ( P value <0.05). Self-reported tobacco use among females was as follows: Urban 3.5%; urban-slums 11.9%; and rural 17.7% ( P value <0.05). More males reported daily bidi (tobacco wrapped in temburini leaf) smoking (urban 17.8%, urban-slums 36.7%, rural 44.6%) than cigarette use (urban 9.6%, urban-slums 6.3%, rural 2.9%). Females using smoked tobacco were almost exclusively using bidis (urban 1.7%, 7.9%, 11% in rural). Daily chewed tobacco use had urban, urban-slum, and rural gradients of 12%, 10.5%, and 6.8% in males respectively. Its use was low in females.

          Conclusion:

          The antitobacco policies of India need to focus on bidis in antitobacco campaigns. The program activities must find ways to reach the rural and urban-slum populations.

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          Most cited references43

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          Estimates of global mortality attributable to smoking in 2000.

          Smoking is a risk factor for several diseases and has been increasing in many developing countries. Our aim was to estimate global and regional mortality in 2000 caused by smoking, including an analysis of uncertainty. Following the methods of Peto and colleagues, we used lung-cancer mortality as an indirect marker for accumulated smoking risk. Never-smoker lung-cancer mortality was estimated based on the household use of coal with poor ventilation. Relative risks were taken from the American Cancer Society Cancer Prevention Study, phase II, and the retrospective proportional mortality analysis of Liu and colleagues in China. Relative risks were corrected for confounding and extrapolation to other regions. We estimated that in 2000, 4.83 (uncertainty range 3.94-5.93) million premature deaths in the world were attributable to smoking; 2.41 (1.80-3.15) million in developing countries and 2.43 (2.13-2.78) million in industrialised countries. 3.84 million of these deaths were in men. The leading causes of death from smoking were cardiovascular diseases (1.69 million deaths), chronic obstructive pulmonary disease (0.97 million deaths), and lung cancer (0.85 million deaths). Smoking was an important cause of global mortality in 2000. In view of the expected demographic and epidemiological transitions and current smoking patterns in the developing world, the health loss due to smoking will grow even larger unless effective interventions and policies that reduce smoking among men and prevent increases among women in developing countries are implemented.
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            Smoking and mortality from tuberculosis and other diseases in India: retrospective study of 43000 adult male deaths and 35000 controls.

            In India most adult deaths involve vascular disease, pulmonary tuberculosis, or other respiratory disease, and men have smoked cigarettes or bidis (which resemble small cigarettes) for several decades. The study objective was to assess age-specific mortality from smoking among men (since few women smoke) in urban and in rural India. We did a case-control study of the smoking habits of 27000 urban and 16000 rural men who had died in the state of Tamil Nadu, southern India, from medical causes (ie, any cause other than accident, homicide, or suicide), and of 20000 urban and 15000 rural male controls. The main analyses are of mortality at ages 25-69 years. In the urban study area, the death rates from medical causes of ever smokers were double those of never smokers (standardised risk ratio at ages 25-69 years 2.1 [95% CI 2.0-2.2]). The risks were substantial both for cigarette smoking (the main urban habit) and for bidi smoking. Of this excess mortality among smokers, a third involved respiratory disease, chiefly tuberculosis (4.5 [4.0-5.0], smoking-attributed fraction 61%), a third involved vascular disease (1.8 [1.7-1.9], smoking-attributed fraction 24%), 11% involved cancer (2.1 [1.9-2.4], smoking-attributed fraction 32%), chiefly of the respiratory or upper digestive tracts, and 14% involved alcoholism or cirrhosis (3.3 [2.9-3.8], not attributed to smoking). Among ever smokers, the absolute excess mortality from tuberculosis was substantial throughout the age range 25-69 years. (A separate survey of 250000 men living in the urban study area found that ever smokers are three times as likely as never smokers to report a history of tuberculosis, corresponding to a higher rate of progression of chronic subclinical infection to clinical disease.) The proportional excesses of respiratory, vascular, and neoplastic mortality at ages 25-69 years among ever smokers in the urban study area were replicated, each with similarly narrow CI for the risk ratio, in the rural study area (where bidi smoking predominated), and are taken to be largely or wholly causal. For urban and for rural death from medical causes at older ages (> or =70 years), the standardised risk ratio was 1.3. Smoking, which increases the incidence of clinical tuberculosis, is a cause of half the male tuberculosis deaths in India, and of a quarter of all male deaths in middle age (plus smaller fractions of the deaths at other ages). At current death rates, about a quarter of cigarette or bidi smokers would be killed by tobacco at ages 25-69 years, those killed at these ages losing about 20 years of life expectancy. Overall, smoking currently causes about 700000 deaths per year in India, chiefly from respiratory or vascular disease: about 550000 men aged 25-69 years, about 110000 older men, and much smaller numbers of women (since few women smoke).
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              Educational status and cardiovascular risk profile in Indians.

              The inverse graded relationship of education and risk factors of coronary heart disease (CHD) has been reported from Western populations. To examine whether risk factors of CHD are predicted by level of education and influenced by the level of urbanization in Indian industrial populations, a cross-sectional survey (n = 19,973; response rate, 87.6%) was carried out among employees and their family members in 10 medium-to-large industries in highly urban, urban, and periurban regions of India. Information on behavioral, clinical, and biochemical risk factors of CHD was obtained through standardized instruments, and educational status was assessed in terms of the highest educational level attained. Data from 19,969 individuals were used for analysis. Tobacco use and hypertension were significantly more prevalent in the low- (56.6% and 33.8%, respectively) compared with the high-education group (12.5% and 22.7%, respectively; P < 0.001). However, dyslipidemia prevalence was significantly higher in the high-education group (27.1% as compared with 16.9% in the lowest-education group; P < 0.01). When stratified by the level of urbanization, industrial populations located in highly urbanized centers were observed to have an inverse graded relationship (i.e., higher-education groups had lower prevalence) for tobacco use, hypertension, diabetes, and overweight, whereas in less-urbanized locations, we found such a relationship only for tobacco use and hypertension. This study indicates the growing vulnerability of lower socioeconomic groups to CHD. Preventive strategies to reduce major CHD risk factors should focus on effectively addressing these social disparities.
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                Author and article information

                Journal
                Indian J Community Med
                IJCM
                Indian Journal of Community Medicine : Official Publication of Indian Association of Preventive & Social Medicine
                Medknow Publications (India )
                0970-0218
                1998-3581
                April 2010
                : 35
                : 2
                : 245-251
                Affiliations
                Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi
                Author notes
                Address for correspondence: Dr. Kapil Yadav, 6 BE, Imarti Block, Tilak Nagar, New Delhi-110018, India. E-mail: dr_kapilyadav@ 123456yahoo.co.in
                Article
                IJCM-35-245
                10.4103/0970-0218.66877
                2940179
                20922100
                84eb1cf6-d51c-4066-aeac-509eada9dc0d
                © Indian Journal of Community Medicine

                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 work is properly cited.

                History
                : 14 March 2009
                : 24 February 2010
                Categories
                Original Article

                Public health
                tobacco,bidi (hand-manufactured cigarette),rural,peri-urban,urban
                Public health
                tobacco, bidi (hand-manufactured cigarette), rural, peri-urban, urban

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