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1.
Article in English | IMSEAR | ID: sea-177482

ABSTRACT

Background: Social impacts on tobacco use have been reported but not well quantified. This study investigated how strongly the use of smoked and smokeless tobacco may be influenced by other users who are close to the respondents. Methods: The International Tobacco Control Project (TCP), India, used stratified multistage cluster sampling to survey individuals aged ≥15 years in four areas of India about their tobacco use and that of their close associates. The present study used logistic regression to calculate odds ratios (ORs) for tobacco use for each type of close associate. Results: Among the 9780 respondents, tobacco use was significantly associated with their close associates’ (father’s, mother’s, friends’, spouse’s) tobacco use in the same form. After adjusting for confounding variables, women smokers were nine times more likely to have a mother who ever smoked (OR: 9.0; 95% confidence interval [CI]: 3.3–24.7) and men smokers five times more likely (OR: 5.4; 95% CI: 2.1–14.1) than non-smokers. Men smokers were seven times more likely to have close friends who smoked (OR: 7.2; 95% CI: 5.6–9.3). Users of smokeless tobacco (SLT) were five times more likely to have friends who used SLT (OR: 5.3; 95% CI: 4.4–6.3 [men]; OR: 5.0; 95% CI: 4.3–5.9 [women]) and four times more likely to have a spouse who used SLT (OR: 4.1; 95% CI: 3.0–5.8 [men]; OR: 4.3; 95% CI: 3.6–5.3 [women]), than non-users. The ORs for the association of the individuals’ tobacco use, whether smoked or smokeless, increased with the number of close friends using it in the same form. Conclusion: The influence of family members and friends on tobacco use needs to be appropriately addressed in tobacco-control interventions.

2.
Indian J Cancer ; 2014 Dec; 51(5_Suppl): s39-s45
Article in English | IMSEAR | ID: sea-154350

ABSTRACT

BACKGROUND: Global Adult Tobacco Survey India 2009–2010 revealed that more than one‑third (35%) of adults in India use tobacco in some form: 21% use smokeless tobacco, 9% smoke, and 5% are mixed users (they smoke and use smokeless tobacco), and the quit rate is very low. In an effort to decrease prevalence of tobacco use, it is thus important to understand the factors that are related to intention to quit among Indian tobacco users. Research has shown consistently that intention to quit is a strong predictor of future quitting. The present study reports the factors encouraging quitting tobacco products in India. SUBJECTS AND METHODS: Cross‑sectional data from Wave 1 of the International Tobacco Control Policy Evaluation India Survey conducted in four cities and surrounding rural areas (i.e. Mumbai [Maharashtra], Patna [Bihar], Indore [Madhya Pradesh], and Kolkata [West Bengal]) between August 2010 and December 2011 were analyzed. A total of 8051 tobacco users (15+ years) were randomly sampled from 8586 households: 1255 smokers, 5991 smokeless users, and 805 mixed (smoke and smokeless) users. Validated, standardized questions were asked about current tobacco use, intention to quit, and factors encouraging quitting. RESULTS: Overall, 19.6% of tobacco users intended to quit. Smokers had less intention to quit as compared to smokeless tobacco users whereas mixed users had more intention to quit (odds ratio [OR] =1.48, 95% confidence interval [CI] =1.12–1.97) compared to smokeless tobacco users. Highly educated people were more likely to report intention to quit (OR = 1.82, 95% CI = 1.09–3.02) compared to less educated. Advice by doctors to quit tobacco had a strong impact on intention to quit (OR = 1.68, CI = 1.29–2.15). Tobacco users who were exposed to antitobacco messages at work places (OR = 1.74, CI = 1.23–2.46), at restaurants (OR = 1.65, CI = 1.12–2.43), bars (OR = 1.81, CI = 1.07–3.06), on public transportation (OR = 2.14, CI = 1.49–3.08) and on tobacco packages (OR = 1.77, CI = 1.29–2.14) also expressed greater intention to quit tobacco use. CONCLUSION: Around one‑fifth of tobacco users in India intended to quit tobacco use. Higher education, doctor’s advice, and antitobacco messages were positively associated with users’ intention to quit tobacco.


Subject(s)
Adult , Data Collection/methods , Humans , India , Smoking/prevention & control , Smoking/trends , Tobacco, Smokeless/statistics & numerical data , Tobacco Use Cessation/epidemiology , Tobacco Use Cessation/history , Tobacco Use Cessation Devices/statistics & numerical data
3.
Indian J Cancer ; 2012 Oct-Dec; 49(4): 431-437
Article in English | IMSEAR | ID: sea-145840

ABSTRACT

Introduction: Tobacco users face barriers not just in quitting, but also in thinking about quitting. The aim of this study was to understand factors encouraging intention to quit from the 2006 International Tobacco Control Policy (TCP) Evaluation India Pilot Study Survey. Materials and Methods: A total of 764 adult respondents from urban and rural areas of Maharashtra and Bihar were surveyed through face-to-face individual interviews, with a house-to-house approach. Dependent variable was "intention to quit tobacco." Independent variables were demographic variables, peer influence, damage perception, receiving advice to quit, and referral to cessation services by healthcare professionals and exposure to anti-tobacco messages. Logistic regression model was used with odds ratio adjusted for location, age, gender, and marital status for statistical analysis. Results: Of 493 tobacco users, 32.5% intended to quit. More numbers of users who were unaware about their friends' tobacco use intended to quit compared to those who were aware (adjusted OR = 8.06, 95% CI = 4.58-14.19). Higher numbers of users who felt tobacco has damaged their health intended to quit compared to those who did not feel that way (adjusted OR = 5.62, 95% CI = 3.53-8.96). More numbers of users exposed to anti-tobacco messages in newspapers/magazines (adjusted OR = 1.76, 95% CI = 1.02-3.03), restaurants (adjusted OR = 2.47, 95% CI = 1.37-4.46), radio (adjusted OR=4.84, 95% CI = 3.01-7.78), cinema halls (adjusted OR = 9.22, 95% CI = 5.31-15.75), and public transportation (adjusted OR = 10.58, 95% = 5.90-18.98) intended to quit compared to unexposed users. Conclusion: Anti-tobacco messages have positive influence on user's intentions to quit.


Subject(s)
Humans , India , Mass Media/statistics & numerical data , Rural Population , Smoke-Free Policy , Smoking Cessation/methods , Smoking Cessation/statistics & numerical data , Tobacco Use Cessation/methods , Tobacco Use Cessation/statistics & numerical data , Urban Population
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