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ORIGINAL ARTICLE
Year : 2017  |  Volume : 6  |  Issue : 4  |  Page : 813-818

Nicotine dependence and its correlates among the adult tobacco users in a slum of Burdwan district, West Bengal, India


1 Department of Community Medicine, IQ City Medical College, Durgapur, West Bengal, India
2 Department of Paediatric Medicine, Burdwan Medical College and Hospital, Burdwan, West Bengal, India
3 Department of Preventive and Social Medicine, All Institute of Hygiene and Public Health, Kolkata, West Bengal, India

Correspondence Address:
Prof. Indranil Saha
P-19, Jadavpur University Employees' Housing Co-operative Society Ltd. P.O. – Panchasayar, Kolkata - 700 094, West Bengal
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jfmpc.jfmpc_42_17

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Background: Tobacco kills half of its users, with smoking and smokeless tobacco killing nearly 6 million people worldwide – one death every 6 s in each year. Use of tobacco over time causes a physical and psychological addiction due to the presence of nicotine. To find out the level of nicotine dependence among adult (18 years and above) tobacco users and the factors responsible for it. Materials and Methods: A cross-sectional community-based study was conducted among 128 current tobacco users in an urban slum of Burdwan District, West Bengal, India. Study tools comprised of predesigned, pretested, semi-structured schedule, containing Fagerström test for nicotine dependence (FTND) questionnaire. Data were collected by interview after getting consent from the participants. Chi-square test, unpaired student t-test, ANOVA, correlation coefficient, and linear regression was calculated. SPSS software (Statistical Package for the Social Sciences Inc, Chicago, IL, USA). was used for analysis. Results: High level of nicotine dependence was maximally seen among increased in age group, prolonged duration of use and daily users. Age, duration of tobacco use and habit of tobacco use had a significant positive correlation with FTND score while starting age of tobacco had a significant negative correlation. Then in multivariable linear regression, starting age of tobacco use, habit of tobacco use and duration of tobacco use emerged as a significant predictor of FTND score and could explain 27.3% of total variation in FTND score. Conclusions: Suitable plan for quitting may be developed based on the FTND score of an individual, the most important determinant of quitting.


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