We have located links that may give you full text access.
Predictors of intention to quit tobacco among construction site workers in Delhi, India.
Indian Journal of Psychiatry 2017 April
BACKGROUND: Information on predictors of quitting behavior among construction site tobacco users is scarce in India. Hence, this study was conducted to assess the intention of tobacco users toward quitting and its predictors with reference to sociodemographic profile.
METHODOLOGY: A community-based, observational study was conducted on adult 172 construction site workers in a university campus of Delhi. Data were collected by an interview using the WHO-adopted, pretested, semi-structured questionnaire. Chi-square test was used for univariate analysis. Pearson's correlation coefficient and multivariate logistic regression model were used to identify the predictors.
RESULTS: Of the 172 users, 73% had intention to quit. More than half of smokers (56.5%) and 81% of smokeless tobacco users intended to quit. Majority of the tobacco users who intended to quit were literate (75.0%), started tobacco use >15 years of age (75.4%), occasional tobacco users (78.9%), and less dependent on nicotine (74.4%).
CONCLUSIONS: Suitable plan for quitting keeping in mind this vulnerable group of workers should be developed depending on the literacy, type of tobacco used, and nicotine dependency.
METHODOLOGY: A community-based, observational study was conducted on adult 172 construction site workers in a university campus of Delhi. Data were collected by an interview using the WHO-adopted, pretested, semi-structured questionnaire. Chi-square test was used for univariate analysis. Pearson's correlation coefficient and multivariate logistic regression model were used to identify the predictors.
RESULTS: Of the 172 users, 73% had intention to quit. More than half of smokers (56.5%) and 81% of smokeless tobacco users intended to quit. Majority of the tobacco users who intended to quit were literate (75.0%), started tobacco use >15 years of age (75.4%), occasional tobacco users (78.9%), and less dependent on nicotine (74.4%).
CONCLUSIONS: Suitable plan for quitting keeping in mind this vulnerable group of workers should be developed depending on the literacy, type of tobacco used, and nicotine dependency.
Full text links
Related Resources
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app