CC BY-NC-ND 4.0 · Indian J Med Paediatr Oncol 2021; 42(05): 444-450
DOI: 10.1055/s-0041-1740602
Original Article

Intention to Quit Tobacco Use and its Determinants Among Adolescent Tobacco Users Residing in Slum Areas of Bhubaneswar, India: A Cross-Sectional Study

Ansuman Panigrahi
1   Epidemiology Division, ICMR–NIIRNCD, Jodhpur, Rajasthan, India
,
2   Department of Community Medicine, Muzaffarnagar Medical College, Muzaffarnagar, Uttar Pradesh, India
,
Sabita Maharana
3   Department of Community Medicine, Shri Jagannath Medical College & Hospital, Puri, Odisha, India
› Author Affiliations
Funding None.

Abstract

Introduction Intention to quit is the initial step and a strong predictor of quitting tobacco use.

Objective The aim of this study was to estimate the prevalence and determinants of intention to quit tobacco use among adolescent tobacco users residing in the slum areas of Bhubaneswar, India.

Materials and Methods A community-based cross-sectional study was performed during the year 2017–2018 involving 152 adolescent tobacco users residing in the slums of Bhubaneswar. Multistage cluster random sampling was used to select the study areas.

Results Ninety-three (61.2%) adolescents had the intention to quit tobacco use. Multivariate logistic regression analysis revealed that the odds of intention to quit tobacco use was significantly higher in adolescents who used it for less than 5 years' duration (adjusted odds ratio (aOR): 2.59; 95% confidence interval [CI]: 1.14–5.87), those used first tobacco of the day between 31 and 60 minutes after waking up in the morning (aOR: 2.60; 95% CI: 1.17–5.79) or more than 60 minutes after waking up (aOR: 6.69; 95% CI: 2.28–19.61), and those who noticed anti-tobacco messages in any media in the past 30 days (aOR: 2.70; 95% CI: 1.02–7.14).

Conclusion The prevalence of intention to quit tobacco use among slum adolescents of Bhubaneswar is 61.2%, which can be enhanced by incorporating the determinants of the intention to quit tobacco use in the existing anti-tobacco schemes.

Authors' Contributions

The manuscript has been read and approved by all authors, and that the requirements for authorship have been met, and that each author believes that the manuscript represents honest work.




Publication History

Article published online:
27 December 2021

© 2021. Indian Society of Medical and Paediatric Oncology. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Thieme Medical and Scientific Publishers Pvt. Ltd.
A-12, 2nd Floor, Sector 2, Noida-201301 UP, India

 
  • References

  • 1 World Health Organization. WHO report on the global tobacco epidemic 2019: offer help to quit tobacco use; 2019. Accessed August 18, 2021 at: https://www.who.int/publications/i/item/9789241516204
  • 2 Balmford J, Borland R, Burney S. The influence of having a quit date on prediction of smoking cessation outcome. Health Educ Res 2010; 25 (04) 698-706
  • 3 World Health Organization. Who global report on trends in prevalence of tobacco smoking 2000-2025. 2nd ed.. Geneva: 2018
  • 4 Asma S, Mackay J, Yang Song S. et al. The GATS Atlas: Global Adult Tobacco Survey. Atlanta, GA: 2015
  • 5 Gakidou E, Afshin A, Abajobir AA. et al; GBD 2016 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017; 390 (10100): 1345-1422
  • 6 Islam K, Saha I, Saha R, Samim Khan SA, Thakur R, Shivam S. Predictors of quitting behaviour with special reference to nicotine dependence among adult tobacco-users in a slum of Burdwan district, West Bengal, India. Indian J Med Res 2014; 139 (04) 638-642
  • 7 Kar SS, Sivanantham P, Rehman T, Chinnakali P, Thiagarajan S. Willingness to quit tobacco and its correlates among Indian tobacco users-Findings from the Global Adult Tobacco Survey India, 2016-17. J Postgrad Med 2020; 66 (03) 141-148
  • 8 Panda R, Venkatesan S, Persai D, Trivedi M, Mathur MR. Factors determining intention to quit tobacco: exploring patient responses visiting public health facilities in India. Tob Induc Dis 2014; 12 (01) 1 DOI: 10.1186/1617-9625-12-1.
  • 9 Surani NS, Gupta PC, Fong TG, Pednekar MS, Quah AC, Bansal-Travers M. Intention to quit among Indian tobacco users: findings from International Tobacco Control Policy evaluation India pilot survey. Indian J Cancer 2012; 49 (04) 431-437
  • 10 Tworek C, Schauer GL, Wu CC, Malarcher AM, Jackson KJ, Hoffman AC. Youth tobacco cessation: quitting intentions and past-year quit attempts. Am J Prev Med 2014; 47 (02, Suppl 1): S15-S27
  • 11 Agaku I, Akinyele AO, Omaduvie UT. Evaluation of factors influencing intention to quit smokeless and cigarette tobacco use among Nigerian adolescents. Niger Med J 2012; 53 (01) 31-36
  • 12 Butler KM, Ickes MJ, Rayens MK, Wiggins AT, Ashford K, Hahn EJ. Intention to quit smoking and polytobacco use among college student smokers. Prev Med Rep 2018; 10: 72-75
  • 13 Dhumal GG, Pednekar MS, Gupta PC. et al. Quit history, intentions to quit, and reasons for considering quitting among tobacco users in India: findings from the Tobacco Control Policy Evaluation India Wave 1 Survey. Indian J Cancer 2014; 51 (Suppl. 01) S39-S45
  • 14 Chadda R, Sengupta S. Tobacco use by Indian adolescents. Tob Induc Dis 2002; 1 (02) 111-119
  • 15 Arora M, Tewari A, Tripathy V. et al. Community-based model for preventing tobacco use among disadvantaged adolescents in urban slums of India. Health Promot Int 2010; 25 (02) 143-152
  • 16 Aryanpur M, Masjedi MR, Mortaz E. et al. Intention to quit smoking and associated factors in smokers newly diagnosed with pulmonary tuberculosis. Tanaffos 2016; 15 (01) 17-24
  • 17 Fathelrahman AI, Omar M, Awang R. et al. Smokers' responses toward cigarette pack warning labels in predicting quit intention, stage of change, and self-efficacy. Nicotine Tob Res 2009; 11 (03) 248-253
  • 18 Acharyya T, Kaur P, Murhekar MV. Prevalence of behavioral risk factors, overweight and hypertension in the urban slums of North 24 Parganas District, West Bengal, India, 2010. Indian J Public Health 2014; 58 (03) 195-198
  • 19 Chockalingam K, Vedhachalam C, Rangasamy S. et al. Prevalence of tobacco use in urban, semi urban and rural areas in and around Chennai City, India. PLoS One 2013; 8 (10) e76005
  • 20 Mukherjee K. Study on tobacco consumption patterns and its determinants in an urban slum in New Mumbai. Int J Epidemiol Res 2015; 2: 164-171
  • 21 Khan ZA, Goel R, Mukherjee AK, Khan T. Prevalence and predictors of intention to quit tobacco smoking in smokers of rural area of North India (Haryana). Int J Community Med Public Health 2018; 5: 1617-1622
  • 22 Yang M, Essien E, Sansgiry S, Wu Ih, Peters R, Abughosh S. Predictors of intention to quit cigarette smoking among Chinese adults. J Behav Health 2012; 1: 93-101
  • 23 Reddy MM, Kanungo S, Naik BN, Kar SS. Willingness to quit tobacco smoking and its correlates among Indian smokers - Findings from Global Adult Tobacco Survey India, 2009-2010. J Family Med Prim Care 2018; 7 (06) 1353-1360
  • 24 Fagan P, Augustson E, Backinger CL. et al. Quit attempts and intention to quit cigarette smoking among young adults in the United States. Am J Public Health 2007; 97 (08) 1412-1420
  • 25 Centers for Disease Control and Prevention (CDC). Antismoking messages and intention to quit - 17 countries, 2008-2011. MMWR Morb Mortal Wkly Rep 2013; 62 (21) 417-422