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VOLUME 18 , ISSUE 11 ( November, 2017 ) > List of Articles

RESEARCH ARTICLE

Potential Predictor of Tobacco Cessation among Factory Workers: A Baseline Data of Worksite Tobacco Cessation Programs in the Central Part of India

Rahul Gaikwad, Rahul Bhowate, Payal Bajad, Shailesh Gondivkar

Citation Information : Gaikwad R, Bhowate R, Bajad P, Gondivkar S. Potential Predictor of Tobacco Cessation among Factory Workers: A Baseline Data of Worksite Tobacco Cessation Programs in the Central Part of India. J Contemp Dent Pract 2017; 18 (11):1071-1077.

DOI: 10.5005/jp-journals-10024-2178

Published Online: 01-12-2016

Copyright Statement:  Copyright © 2017; The Author(s).


Abstract

Aim

Our study aimed to evaluate the prevalence of tobacco use among factory workers and identify the predicting factors for quitting tobacco use.

Materials and methods

In this cross-sectional study, a total of 640 factory workers were included and divided into the quitter group and who had never quit the tobacco habit in the past. Data were collected by standardized and validated questionnaire pro forma, which comprised the demographic profile, smoking history, and Fagerström scale to check the nicotine dependence. Data were analyzed using descriptive analysis and Chi-squares test, whereas logistic regression was used to predict the factor for quitting the tobacco habit. All tests were applied using Statistical Package for the Social Sciences (SPSS) version 17.0.

Results

The mean age among the quitters was comparatively low than the never-quit group. Out of 640 participants, the majority of quitters and those who never quit were found to consume smokeless tobacco (232 [93.5]; 288 [73.5]). As per logistic regression analysis, gender of participants, age of starting tobacco use, and frequency of tobacco use can be considered as good predictors to quit smoking/chewing tobacco.

Conclusion

The present study found that participants in the quitter group were less dependent on tobacco, and these participants were more likely to quit smoking if behavioral support was provided at the early days of the quitting attempt.

Clinical significance

This study's result provides valuable insight into the current tobacco usage and potential predicting factors for quitting tobacco use among factory workers in India. These data can help in developing a policy for the implementation of tobacco cessation programs at the worksite.

How to cite this article

Gaikwad R, Bhowate R, Bajad P, Gadbail AR, Gondivkar S, Sarode SC, Sarode GS, Patil S. Potential Predictor of Tobacco Cessation among Factory Workers: A Baseline Data of Worksite Tobacco Cessation Programs in the Central Part of India. J Contemp Dent Pract 2017;18(11):1071-1077.


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  1. Tobacco smoking and awareness of smoking-cessation products in a university community. J Public Health Epidemiol 2013 Aug;5(8):351-356.
  2. Oral potentially malignant disorders: precising the definition. Oral Oncol 2012 Sep;48(9):759-760.
  3. Oral potentially malignant disorders: a proposal for terminology and definition with review of literature. J Oral Maxillofac Pathol 2014 Sep;18(Suppl 1):S77-S80.
  4. A new classification for potentially malignant disorders of the oral cavity. Oral Oncol 2011 Sep;47(9):920-921.
  5. Smoking habits of factory workers and their thoughts about cessation of smoking. Dicle Med J 2014;41(4):717-723.
  6. Priority actions for the non-communicable disease crisis. Lancet 2011 Apr;377(9775):1438-1447.
  7. Pattern of smoking habit and quit attempts among industrial workers in Kuwait. Occup Med Health Aff 2013 May;1:115.
  8. Lung cancer risk associated with occupational exposure. In: Mapp CE, editor. Occupational lung disorders European respiratory society monograph. Leeds: Maney Publishing; 1999.
  9. Impact of smoking status on workplace absenteeism and productivity. Tob Control 2001 Sep;10(3):233-238.
  10. Costs of employee smoking in the workplace in Scotland. Tob Control 2000 Feb;9(2):187-192.
  11. Correlates of smoking cessation in a nationally representative sample of U.S. Adults. Addict Behav 2008 Sep;33(9):1223-1226.
  12. Occupational and sex differences in smoking and smoking cessation. J Occup Med 1986 May;28(5):360-364.
  13. Prospective study of factors predicting outcome of transdermal nicotine treatment in smoking cessation. BMJ 1994 Oct;309(6958):842-846.
  14. Mulitvariate models for predicting abstention following intervention to stop smoking by general practitioners. Addiction 1993 Aug;88(8):1127-1135.
  15. Have we lost our way? The need for dynamic formulations of smoking relapse proneness. Addiction 2002 Sep;97(9):1093-1108.
  16. Common predictors of smoking cessation in clinical practice. Respir Med 2008 Aug;102(8):1182-1192.
  17. The course of early smoking: a population-based cohort study over three years. Addiction 1998 Aug;93(8):1251-1260.
  18. Addiction versus stages of change models in predicting smoking cessation. Addiction 1996 Sep;91(9):1271-1280, discussion 1281-1292.
  19. Determinants of tobacco use and renaming the FTND to the Fagerstrom test for cigarette dependence. Nicotine Tob Res 2012 Jan;14(1):75-78.
  20. Testing social cognitive theory as a theoretical framework to predict smoking relapse among daily smoking adolescents. Addict Behav 2009 Mar;34(3):281-286.
  21. Predictors of quitting tobacco – results of a worksite tobacco cessation service program among factory workers in Mumbai, India. Asian Pac J Cancer Prev 2012;13(2):533-538.
  22. Work factors and smoking cessation in nurses' aides: a prospective cohort study. BMC Public Health 2005 Dec;5:142.
  23. Smoking cessation in the workplace: results of an intervention programme using nicotine patches. Occup Med (Lond) 2001 Dec;51(8):501-506.
  24. Smoking behavior in a smoking workplace. J Subst Abuse 2000 May;11(3):231-240.
  25. Evaluation Project TCP India Project Report. Navi Mumbai: ITCP; 2013.
  26. A study of tobacco consumption among college students of university of Delhi, India. Indian J Prev Soc Med 2010 Jul-Dec;41(3-4):198-202.
  27. A study on knowledge, attitude and practices regarding smokeless tobacco use among adult (more than eighteen years) in the rural area of Jharkhand. Int J Basic Appl Med Sci 2013 May-Aug;3(2):378-381.
  28. Factors influencing alcohol and tobacco addiction among patients attending a de-addiction centre, South India. J Int Soc Prev Community Dent 2014 May-Aug;4(2):103-107.
  29. Stress and coping behaviors among smokers. Asian J Psychiatr 2011 Jun;4(2):134-138.
  30. The influence of housing tenure and marital status on smoking in South Korea. Health Policy 2010 Feb;94(2):101-110.
  31. ; McKay, S. Poor smokers. London: Policy Studies Institute; 1994.
  32. Patterns and predictors of smoking cessation among smokers attending smoking cessation clinics in peninsular Malaysia. J Community Health 2008 Jan;14(1):17-23.
  33. Stop smoking clinics in Malaysia: characteristics of attendees and predictors of success. Addict Behav 2011 Apr;36(4):400-403.
  34. Workplace based smoking cessation intervention in Argentina. Rev Argent Med Resoirator 2006 Sep;6(2):71-76.
  35. Prevalence of habit of tobacco and its deleterious effects in general population of Jaipur district, Rajasthan. J Indian Acad Oral Med Radiol 2012 Apr-Jun;24(2):113-116.
  36. Prevalence and predictors of tobacco use among general public of Gorakhpur district, India. J Oral Biol Craniofac Res 2015 Jan-Apr;5(1):16-20.
  37. Does the workplace-smoking ban eliminate differences in risk for environmental tobacco smoke exposure at work? Health Policy 2009 Oct;92(2-3):197-202.
  38. Cardiovascular effect of bans on smoking in public places: a systematic review and meta-analysis. J Am Coll Cardiol 2009 Sep;54(14):1249-1255.
  39. Patients' perceptions of oral cancer screening in dental practice: a cross-sectional study. BMC Oral Health 2012 Dec;12:55.
  40. Effectiveness of proactive Quitline service and predictors of successful smoking cessation: findings from a preliminary study of Quitline service for smoking cessation in Korea. J Korean Med Sci 2008 Oct;23(5):888-894.
  41. The natural history of cigarette smoking: Predicting young-adult smoking outcomes from adolescent smoking patterns. Health Psychol 1990;9(6):701-716.
  42. Sports participation, age at smoking initiation, and the risk of smoking among US high school students. JAMA 1993 Mar;269(11):1391-1395.
  43. Family support and employment as predictors of smoking cessation success: a randomized, double-blind, placebo-controlled trial of nicotine sublingual tablets in Chinese smokers. Am J Drug Alcohol Abuse 2009 Jan;35(3):183-188.
  44. Factors associated with smoking cessation among Chinese adults in rural China. Am J Health Behav 2009 Mar-Apr;33(2):125-134.
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