‘Web Based Approach’ to Assess Factors Affecting Nicotine Dependency among Internet-Active Smokers

Authors

  • Bansari L Chawada Medical College Baroda, Vadodara
  • Jaydeep J Devaliya Medical College Baroda, Vadodara
  • JK Kosambiya Government Medical College, Surat

Keywords:

smoking, addiction, nicotine dependence, internet users, web based services, information technology

Abstract

Introduction: In India, approximate 14% of the adults are smokers. Low follow-up rate and missed opportunities of de addiction are the main challenges for Tobacco control Program. Review shows the positive impact of web-based interventions to quit smoking. With increasing internet use among Indians, study was done to explore possibility of web base smoking cessation intervention.

Methodology: To study the objective, a website named ‘Smoke Free India’ was created by the investigators. Total 113 responses were collected through web-based survey and analyzed for nicotine dependency with standard measuring guidelines.

Results: Around 37.17 % of responders were under 20 years of age. Among total respondents, 82.3 % were male. After adjusting for confounders, risk factors increasing nicotine dependency were age < 25 years (b1= 2.41), affected marital status (b2 = 0.23), years spend in smoking habit (b3=0.41), feeling tired of quitting (b4= 0.70) while late evening time of smoking first cigarette of day (b5= -0.34) and living with family (b6= -0.28) were protective factors. Almost 90.3% thought that they would be comfortable to use Internet services to quit smoking.

Conclusions: The study find out the factors associated with nicotine dependence. Familiarity and willingness to use Internet services open the door for web based de addiction services.

References

WHO. Global Adult Tobacco Survey. Factsheet. India [Internet]. p. 2. Available from: http://www.who.int/ tobacco/surveillance/en_tfi_india_gats_fact_sheet.pdf

Raute L, Pednekar M, Mistry R, Gupta P, Pimple S, Shastri S. Determinants of exposure to second-hand smoke at home and outside the home among students aged 11-17 years: Results from the Mumbai Student Tobacco Survey 2010. Indian J Cancer. 2012;49(4):419.

Patel DR. Smoking and children. Indian J Pediatr. 66(6):817–24.

Government of India. National tobacco Control programme [Internet]. [cited 2016 Jun 12]. Available from: https: //www.nhp.gov.in/miscellaneous/standard-governance-and-protocols

Panda R, Persai D, Venkatesan S. Missed opportunities for brief intervention in tobacco control in primary care: patients’ perspectives from primary health care settings in India. BMC Health Serv Res. 2015 Dec 1;15(1):50.

Mony PK, Rose DP, Sreedaran P, D’Souza G, Srinivasan K. Tobacco cessation outcomes in a cohort of patients attending a chest medicine outpatient clinic in Bangalore city, southern India. Indian J Med Res. 2014 Apr;139(4):523–30.

Telecommunication Development Bureau. International Telecommunication Union (ITU). ICT Facts and Figures 2017 [Internet]. [cited 2017 Aug 30]. Available from: http:// www.itu.int/en/ITU-D/Statistics/Pages/facts/default. aspx

Central Intelligence Agency. The World Factbook — [Internet]. [cited 2017 Aug 29]. Available from: https:// www.cia.gov/library/publications/resources/the-world-factbook/geos/in.html

Lowe JB, Barnes M, Teo C, Sutherns S. Investigating the use of social media to help women from going back to smoking post-partum. Aust N Z J Public Health. 2012;36(1):30–2.

Smoke Free India [Internet]. [cited 2014 Aug 9]. Available from: http://smokefreeindia.wix.com/smoke-free-india

Chawada B, P Kadia A, Kosambiya J, L Kantharia S. Social networking media: Going one step ahead for smoking awareness and IEC. Natl J Community Med. 2013;4:632–5.

Rustin TA. Assessing nicotine dependence. Am Fam Physician. 2000 Aug 1;62(3):579–84.

Rani M, Bonu S, Jha P, Nguyen SN, Jamjoum L. Tobacco use in India: prevalence and predictors of smoking and chewing in a national cross sectional household survey. Tob Control. 2003;12(4).

D′Souza G, Rekha D, Sreedaran P, Srinivasan K, Mony P. Clinico-epidemiological profile of tobacco users attending a tobacco cessation clinic in a teaching hospital in Bangalore city. Lung India. 2012 Apr;29(2):137.

Srivastava S, Malhotra S, Harries AD, Lal P, Arora M. Correlates of tobacco quit attempts and cessation in the adult population of India: secondary analysis of the Global Adult Tobacco Survey, 2009–10. BMC Public Health. 2013 Dec 22;13(1):263.

Danawala SA, Arora M, Stigler MH. Analysis of motivating factors for smokeless tobacco use in two Indian states. Asian Pac J Cancer Prev. 2014;15(16):6553–8.

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 Apr;139(4):638–42.

Gosselin P, Poitras P. Use of an Internet “Viral” Marketing Software Platform in Health Promotion. Eysenbach G, editor. J Med Internet Res. 2008 Nov 26;10(4):e47.

Freeman B. New media and tobacco control. Tob Control. 2012 Feb 16;21(2):139-144.

Balmford J, Borland R, Benda P, Howard S. Factors associated with use of automated smoking cessation interventions: findings from the eQuit study. Health Educ Res. 2013 Apr;28(2):288–99.

Centers for Disease Control and Prevention (CDC). MMWR Morb Mortal Wkly Rep. 2012 Aug 31;61(34):667–70.

Downloads

Published

2017-10-31

How to Cite

1.
Chawada BL, Devaliya JJ, Kosambiya J. ‘Web Based Approach’ to Assess Factors Affecting Nicotine Dependency among Internet-Active Smokers. Natl J Community Med [Internet]. 2017 Oct. 31 [cited 2022 Sep. 30];8(10):564-7. Available from: https://www.njcmindia.com/index.php/file/article/view/1353

Issue

Section

Original Research Articles

Most read articles by the same author(s)