Volume 3, Number 1 (Spring 2016)                   JECH 2016, 3(1): 1-11 | Back to browse issues page



DOI: 10.21859/jech-03011

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Heidarnia A, Barati M, Niknami S, Allahverdipour H, Bashirian S. Effect of a Web-Based Educational Program on Prevention of Tobacco Smoking among Male Adolescents: An Application of Prototype Willingness Model. JECH. 2016; 3 (1) :1-11
URL: http://jech.umsha.ac.ir/article-1-194-en.html

1- Professor, Department of Health Education, School of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
2- Assistant Professor, Research Center for Behavioral Disorders and Substance Abuse and Department of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran. , barati@umsha.ac.ir
3- Associate Professor, Department of Health Education, School of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
4- Professor, Department of Health education, School of Health, Tabriz University of Medical Sciences, Tabriz, Iran.
5- Assistant Professor, Social Determinants of Health Research Center and Department of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
Abstract:   (1530 Views)

Background and Objectives: Application of effective strategies for prevention of tobacco smoking in developing countries seems to be necessary. Therefore, the present study aimed to determine the effectiveness of web-based educational intervention on prevention of tobacco smoking among male adolescents in Hamadan, Iran based on prototype willingness model (PWM).

Materials and Methods: In this interventional study, 114male adolescents were randomly divided into two experimental and control groups in Hamadan, west of Iran. Data was collected using a questionnaire, including the PWM constructs and demographic variables. The intervention comprised 11web-based sessions applied in the experimental group during two months. Both groups were followed for six months after the intervention. Data were then analyzed in SPSS18-using chi-squared, independent t-test, paired t-test and Kappa.

Results: After the educational intervention, significant differences were observed in average scores of attitude, subjective norms, perceived behavioral control, behavioral intention, prototype and behavioral willingness between the experimental and control groups (P > 0.05). Tobacco smoking was reduced in the experimental group, but this decrease was not statistically significant (P = 0.392).

Conclusions: The results showed that the application of web-based interventions would be considered as an efficient educational strategy for the prevention of possible increase in tobacco smoking among male adolescents

Full-Text [PDF 301 kb]   (578 Downloads)    
Type of Study: Research Article | Subject: Special
Received: 2016/04/25 | Accepted: 2016/06/14

References
1. Jalilian F, Karami Matin B, Ahmadpanah M, Ataee M, Ahmadi Jouybari T, Eslami AA, et al. Socio-demographic characteristics associated with cigarettes smoking, drug abuse and alcohol drinking among male medical university students in Iran. J Res Health Sci. 2015;15(1):42-6. [PubMed]
2. Barati M, Niknami S, Hidarnia A, Allahverdipour H. [Predictors of Tobacco Smoking in Male Adolescents in Hamadan Based on the Theory of Planned Behavior]. J Educ Commun Health. 2014;1(3):28-37.
3. Bashirian S, Fathi Y, Barati M. [Comparison of efficacy and threat perception processes in predicting smoking among university students based on extended parallel process model]. Sci J Hamedan Univ Med Sci. 2014;21(1):58-65.
4. Ramezankhani A, Sarbandizaboli F, Zarghi A, Heidari G, Masjedi M. Pattern of cigarette smoking in adolescent students in Tehran. Pejouhandeh. 2010;15(3):Pe115-Pe22, En5.
5. Bashirian S, Hidarnia A, Allahverdipour H, Hajizadeh E. Application of the theory of planned behavior to predict drug abuse related behaviors among adolescents. J Res Health Sci. 2012;12(1):54-60. [PubMed]
6. Moeini B, Poorolajal J, Gharghani ZG. Prevalence of cigarette smoking and associated risk factors among adolescents in Hamadan City, west of Iran in 2010. J Res Health Sci. 2012;12(1):31-7. [PubMed]
7. Jafarabadi MA, Allahverdipour H, Bashirian S, Jannati A. Modeling the Underlying Predicting Factors of Tobacco Smoking among Adolescents. Iran J Public Health. 2012;41(5):46-57. [PubMed]
8. Barati M, Hidarnia A, Niknami S, Allahverdipour H. Factors associated with tobacco smoking among male adolescents: The role of psychologic, behavioral, and demographic risk factors. Avicenna J Neuro Psych Physiol. 2015;2(1). [DOI]
9. Andersen A, Bast LS, Ringgaard LW, Wohllebe L, Jensen PD, Svendsen M, et al. Design of a school-based randomized trial to reduce smoking among 13 to 15-year olds, the X:IT study. BMC Public Health. 2014;14:518. [DOI] [PubMed]
10. Glanz K, Rimer BK, Viswanath K. Health behavior and health education: theory, research, and practice. 8th ed. San Francisco: John Wiley & Sons; 2008.
11. Hamel LM, Robbins LB, Wilbur J. Computer- and web-based interventions to increase preadolescent and adolescent physical activity: a systematic review. J Adv Nurs. 2011;67(2):251-68. [DOI] [PubMed]
12. Hunley SA, Evans JH, Delgado-Hachey M, Krise J, Rich T, Schell C. Adolescent computer use and academic achievement. Adolescence. 2005;40(158):307-18. [PubMed]
13. Wutoh R, Boren SA, Balas EA. eLearning: a review of Internet-based continuing medical education. J Contin Educ Health Prof. 2004;24(1):20-30. [DOI] [PubMed]
14. Bewick BM, Trusler K, Barkham M, Hill AJ, Cahill J ,Mulhern B. The effectiveness of web-based interventions designed to decrease alcohol consumption--a systematic review. Prev Med. 2008;47(1):17-26. [DOI] [PubMed]
15. Cremers HP, Mercken L ,Candel M, de Vries H, Oenema A. A Webbased, computer-tailored smoking prevention program to prevent children from starting to smoke after transferring to secondary school: randomized controlled trial. J Med Internet Res. 2015;17(3):e59. [DOI] [PubMed]
16. Barati M, Allahverdipour H, Hidarnia A, Niknami S, Bashirian S. Belief-based Tobacco Smoking Scale: Evaluating the Psychometric Properties of the Theory of Planned Behavior’s Constructs. Health Promot Perspect. 2015;5(1):59-71. [DOI] [PubMed]
17. Gerrard M, Gibbons FX, Houlihan AE, Stock ML, Pomery EA. A dual-process approach to health risk decision making: The prototype willingness model. Development Rev. 2008;28(1):29-61. [DOI]
18. Hukkelberg SS, Dykstra JL. Using the Prototype/Willingness model to predict smoking behaviour among Norwegian adolescents. Addict Behav. 2009;34(3):270-6. [DOI] [PubMed]
19. Abedini S, MorowatiSharifabad M, Chaleshgar Kordasiabi M, Ghanbarnejad A. Predictors of non- hookah smoking among high-school students based on prototype/willingness model. Health Promot Perspect. 2014;4(1):46-53. [DOI] [PubMed]
20. Barati M, Allahverdipour H, Hidarnia A, Niknami S. Predicting tobacco smoking among male adolescents in Hamadan City, west of Iran in 2014 :an application of the prototype willingness model. J Res Health Sci. 2015;15(2):113-8. [PubMed]
21. Webb TL, Joseph J, Yardley L, Michie S. Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J Med Internet Res. 2010;12(1):e4. [DOI] [PubMed]
22. Barati M, Allahverdipour H, Moeini B, Farhadi nasab A, Mahjub H, Jalilian F. [ASSERTIVENESS SKILLS TRAINING EFFICIENCY ON COLLEGE STUDENTS’PERSUASIVE SUBJECTIVE NORMS AGAINST SUBSTANCE ABUSE]. Sci J Hamedan Univ Med Sci. 2011;18(3):40-9.
23. Curtis B. Understanding Tailored Internet Smoking Cessation Messages A Reasoned Action Approach. Annal Am Acad Politic Soci Sci. 2012;640(1):136-49. [DOI]
24. Koiso T, Koyama H, Suzuki K, Ohsawa S. Evaluation of drug abuse prevention program by utilizing of CD-ROM material. Sch Health. 2007;3:7-14.
25. Hopfer S, Davis D, Kam JA, Shin Y, Elek E, Hecht ML. A review of elementary school-based substance use prevention programs: identifying program attributes. J Drug Educ. 2010;40(1):11-36. [PubMed]
26. Patrick ME, Lee CM, Neighbors C. Web-based intervention to change perceived norms of college student alcohol use and sexual behavior on spring break. Addict Behav. 2014;39(3):600-6. [DOI] [PubMed]
27. Springvloet L, Lechner L, Candel MJ, de Vries H, Oenema A. Exploring individual cognitions, self-regulation skills, and environmental-level factors as mediating variables of two versions of a Web-based computer-tailored nutrition education intervention aimed at adults: A randomized controlled trial. Appetite. 2016;98:101-14. [DOI] [PubMed]
28. Tait RJ, McKetin R, Kay-Lambkin F, Carron-Arthur B, Bennett A, Bennett K, et al. A Web-Based Intervention for Users of Amphetamine-Type Stimulants: 3-Month Outcomes of a Randomized Controlled Trial. JMIR Ment Health. 2014;1(1):e1. [DOI] [PubMed]
29. Bolman C ,Eggers SM, van Osch L, Te Poel F, Candel M, de Vries H. Is Action Planning Helpful for Smoking Cessation? Assessing the Effects of Action Planning in a Web-Based Computer-Tailored Intervention. Subst Use Misuse. 2015;50(10):1249-60. [DOI] [PubMed]
30. Tait RJ, McKetin R, Kay-Lambkin F, Carron-Arthur B, Bennett A, Bennett K, et al. Six-month outcomes of a Web-based intervention for users of amphetamine-type stimulants: randomized controlled trial. J Med Internet Res. 2015;17(4):e105. [DOI] [PubMed]
31. Vasiljevic M, Ng YL, Griffin SJ, Sutton S, Marteau TM. Is the intention-behaviour gap greater amongst the more deprived? A meta-analysis of five studies on physical activity, diet, and medication adherence in smoking cessation. Br J Health Psychol. 2016;21(1):11-30. [DOI] [PubMed]
32. van Lettow B, de Vries H, Burdorf A, Boon B, van Empelen P. Drinker prototype alteration and cue reminders as strategies in a tailored web-based intervention reducing adults’ alcohol consumption: randomized controlled trial. J Med Internet Res. 2015;17(2):e35. [DOI] [PubMed]
33. van Lettow B, de Vries H, Burdorf A, Boon B, van Empelen P. Aanpak van overmatig alcoholgebruik onder volwassenen in een RCT. Verslav. 2014;11(4):214-27. [DOI]
34. Davies EL, Martin J, Foxcroft DR. Development and Acceptability of a Co-Produced Online Intervention to Prevent Alcohol Misuse in Adolescents: A Think Aloud Study. JMIR Hum Factors. 2015;2(2):e13. [DOI] [PubMed]
35. Moeini B, Hazavehei SMM, Bashirian S, Soltanian A, Mousali AA, Kafami V. [Effect of Educational Program to Encourage Safe Sexual Behaviors Among Addicted Men Refered to Substance Abuse Treatment Centers in Hamadan, Western Iran: Applying the Theory of Planned Behavior]. J Educ Commun Health. 2014;1(1):1-10. [DOI]
36. Becker J, Haug S, Sullivan R, Schaub MP. Effectiveness of different Web-based interventions to prepare co-smokers of cigarettes and cannabis for double cessation: a three-arm randomized controlled trial. J Med Internet Res. 2014;16(12):e273. [DOI] [PubMed]
37. Jander A, Crutzen R, Mercken L, De Vries H. Web-based interventions to decrease alcohol use in adolescents: a Delphi study about increasing effectiveness and reducing drop-out. BMC Public Health. 2015;15:340. [DOI] [PubMed]
38. Mohammadpoorasl A, Fakhari A, Rostami F, Shamsipour M. Survey of Transition in Different Stages of Cigarette Smoking and its Personal Environmental Factors in Adolescents. Iran J Epidemiol. 2010;5(4):1-7.

Add your comments about this article : Your username or email:
Write the security code in the box

Send email to the article author


© 2015 All Rights Reserved | J Educ Community Health

Designed & Developed by : Yektaweb