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Predictors of intention to quit tobacco among construction site workers in Delhi, India.

ABSTRACT: 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.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.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%).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.

SUBMITTER: Parashar M

PROVIDER: S-EPMC5547863 | biostudies-other | 2017 Apr-Jun

REPOSITORIES: biostudies-other

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Project description:IntroductionTobacco is the leading cause of death and disease in India. This study examines the effect of training intervention in behavioral counseling on intention to quit tobacco in primary healthcare settings in India. The intervention included training to improve behavioral counseling practices of primary care physicians (PCPs) based on the 5As approach to increase patients' motivation to quit tobacco.MethodsA quasi-experimental design was used for the study. The intervention consists of training of primary care physicians in the behavioral intervention in tobacco cessation. The intervention was conducted in twelve districts of two states in India (Rajasthan and Odisha) in 2016-2017. Four districts were randomly sampled for the study. A total of 1314 participants (intervention and control) were recruited for the study in the baseline and end-line surveys, respectively. Intention to quit in 30 days was the primary outcome measure. Difference-in-difference (DiD) logistic regression models were used separately for smokers and smokeless tobacco users to estimate the odds of intention to quit. Analysis was done in STATA Version 14.ResultsThe intervention and time variable had a significantly positive influence on the intention to quit tobacco among smokers. Smokers in the intervention districts had higher odds of intention to quit (OR=9.82; 95% CI: 1.67-57.72) compared to smokers in the control districts. Smokeless tobacco (SLT) users had higher odds of intention to quit (OR=3.06; 95% CI: 1.35-6.98) in the end-line survey compared to baseline survey.ConclusionsOur findings indicate that building capacity in behavioral intervention in primary care settings can help increase the intention to quit among smokers. The observed difference in intention to quit between smokers and SLT users suggests the need of tailored counseling interventions for SLT users. There is a need for further research to design and evaluate training and behavioral interventions for SLT and dual (smoking and SLT) users in primary care settings in low- and middle-income countries.

Project description:BackgroundThere are increasing Chinese migrants in sub-Saharan Africa currently. Most of them are engaged in infrastructure construction. Research has shown that they stay at particular risk of HIV and are recommended for HIV testing. However, their HIV testing behavior, and its relevant factors, have not been researched among them by now. This study describes the recent HIV testing behavior and relevant factors among Chinese migrant workers in Kenya.MethodsA cross-sectional survey was conducted among 110 male Chinese workers from six different Chinese infrastructure construction enterprises in Kenya. Furthermore, a two-stage cluster random sampling method was used to select participants. We used a questionnaire that included HIV testing history, demographic characteristics, and putative multilevel facilitators of HIV testing. Logistic regression was used to explore the predictors of recent HIV testing behavior among Chinese migrant workers in Kenya.ResultOf the 110 participants, 30 (27.27%) were tested for HIV in the recent year. All participants were male, and the majority were married (73.2%). The mean age was 37.49 years (SD = 9.73; range: 23 to 63), and a considerable proportion refused to answer questions about transactional sexual behaviors in the last year. Most were able to obtain HIV-related information (91.8%) and were exposed to HIV-related information in the last year (68.2%), but only 47.6% had sufficient HIV knowledge. Nearly one-fifth of them believed that selling sex and paying for sex is acceptable. Multiple logistic regression analysis indicated that participants who could accept the 'pay for sex' (OR: 2.74; 95% CI: 1.02, 7.36) and exposed to HIV related information (OR: 4.75; 95% CI: 1.29, 17.44) were more likely to test for HIV in the recent 1 year.ConclusionHigher current HIV test rates were associated with a more open sexual attitude towards paying for sex and being exposed to HIV-related information in the last year among Chinese workers in Kenya. More specific attention to HIV should be attached to this population to increase the rate of HIV testing among them.

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Predictors of intention to quit tobacco among construction site workers in Delhi, India.

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