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Predictors of Intention to Quit Smoking Among Jordanian University Students

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Abstract

Purpose: To identify predictors that influence tobacco smoking cessation among Jordanian college students and to test the utility of the Trans-Theoretical Model for future cessation programs in this population.

Method: A cross-sectional survey of randomly selected college students (18 to 22 years of age) who were smokers was conducted at two Jordanian universities. The surveys included the: Tobacco Use Questionnaire; Tobacco Use Self-Efficacy; Rosenberg Self-Esteem Scale; Barriers to Cessation; and the Fagerstrom Tobacco Nicotine Dependency Scale. Due to the complex nature of the contextual and individual factors related to smoking behaviour, a structural equation modeling approach was used to identify variables that may influence participation in tobacco smoking cessation programs.

Results: There was a 75% response rate with a total of 800 students (90% male) completing the survey. Three factors were identified as major contributors toward quitting smoking: a) a high stage of readiness, b) previous experience with barriers to smoking cessation, and c) past experience with quitting.

Conclusions: The findings suggest that the value of smoking cessation programs should not be measured on recidivism rates alone. The implications are that such programs should make return to treatment easy and as guilt free as possible to improve ultimate long-term smoking abstinence.

Résumé

Objet: Déterminer les variables prédictives qui influencent le renoncement au tabac chez les collégiennes et les collégiens jordaniens et tester l’utilité du modèle transthéorique des étapes du changement pour les futurs programmes de renoncement au tabac dans cette population.

Méthode: Nous avons mené, dans deux universités jordaniennes, un sondage transversal auprès de collégiennes et de collégiens fumeurs (de 18 à 22 ans) sélectionnés au hasard. Le sondage comportait: un questionnaire sur le tabagisme; un questionnaire sur l’auto-efficacité liée au tabagisme; l’échelle de l’estime de soi de Rosenberg; les obstacles au renoncement; et le test de dépendance à la nicotine de Fagerström. En raison de la complexité des facteurs contextuels et individuels liés à l’usage du tabac, nous avons opté pour une approche de modélisation en équations structurelles afin de déterminer les variables susceptibles d’influencer la participation à des programmes de renoncement au tabac.

Résultats: Nous avons obtenu un taux de réponse de 75 %, soit 800 répondants et répondantes (90 % d’hommes). Nous avons cerné trois grands facteurs contribuant au renoncement au tabac: a) un niveau de préparation élevé, b) une expérience antérieure des obstacles au renoncement au tabac et c) une expérience de renoncement préalable.

Conclusions: Nos constatations donnent à penser qu’il ne faut pas mesurer la valeur des programmes de renoncement au tabac sur la seule base des taux de rechute. Pour améliorer le maintien à long terme de l’abstinence, ces programmes devraient donc faciliter la reprise du traitement et culpabiliser le moins possible les participants.

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References

  1. Haddad L, Malak M. Smoking habits and attitudes towards smoking among university students in Jordan. Int J Nursing Studies 2002;39:355–59.

    Article  Google Scholar 

  2. Al-Yousef M, Karim A. Prevalence of smoking among high school students. Saudi Medical Journal 2001;22: 872–74.

    Google Scholar 

  3. Haddad L, Mariam K. Perceptions of lung cancer and smoking among college students in Jordan. Transcultural Nursing 2005;16(3):245–54.

    Article  Google Scholar 

  4. Epstein J, Griffin K, Bovine G. A model of smoking among inner-city adolescents: The role of personal competence and perceived social benefits of smoking. Prev Med 2000;31:107–14.

    Article  CAS  Google Scholar 

  5. Coleman-Wallace D, Lee JW, Montgomery S, Blix G, Wang, DT. Evaluation of developmentally appropriate programs for adolescent tobacco cessation. J School Health 1999;69(8):314–19.

    Article  CAS  Google Scholar 

  6. Manfredi C, Lacey, PL. Sociopsychological correlates of motivation to quit. Health Educ Behav 1998;25(3):304–20.

    Article  CAS  Google Scholar 

  7. Prochazka, AV. New development in smoking cessation. CHEST 2000;117:169S–175S.

    Article  CAS  Google Scholar 

  8. Harris K, Ahluwalia J, Okuyemi K, Turner J, Woods M, Backinger C, Resnicow K. Addressing cultural sensitivity in a smoking cessation intervention: Development of the kick it a swope project. J Commun Psychol 2001;29(4):447–58.

    Article  Google Scholar 

  9. Prochaska JO, DiClemente C. Stages and process of self change in smoking: Toward an integrative model of change. J Consult Clin Psychol 1983;5:390–95.

    Article  Google Scholar 

  10. Abrams DB, Herzog TA, Emmons KM, Linnan L. Stages of change versus addiction: A replication and extension. Nicotine & Tobacco Res 2000;2(3):223–29.

    Article  CAS  Google Scholar 

  11. Fava JL, Velicer WF, Prochaska, JO. Applying the transtheoretical model to a representative sample of smokers. Addict Behav 1995;20:189–203.

    Article  CAS  Google Scholar 

  12. Friestad C, Rise J. Smoking attributions and adolescents’ intention to try to quit smoking. Addict Res 1998;6(1):13–27.

    Article  Google Scholar 

  13. Hublet A, Maes L, Csincsak M. Predictors of participation in two different smoking cessation interventions at school. Health Educ Behav 2002;29(5):585–95.

    Article  Google Scholar 

  14. Garrison M, Christakis D, Ebel B, Wiehe S, Rivara F. Smoking cessation interventions for adolescents: A systematic review. Am J Prev Med 2003;25(4):363–67.

    Article  Google Scholar 

  15. Rice V, Templin T, Kulwicki A. Arab-American tobacco use: Four pilot studies. Prev Med 2003;37:492–98.

    Article  Google Scholar 

  16. Lawrence L, Robinson L. Self-efficacy as a predictor of smoking behavior in young adolescents. Addict Behav 1986;11:367–82.

    Article  Google Scholar 

  17. Rosenberg M. Rosenberg Self-Esteem Scale: Scoring technique and instrument reliability. Baltimore, MD: University of Maryland Press, 1987.

    Google Scholar 

  18. MacNee C, Talsma A. Predictors of progress in smoking cessation. Public Health Nursing 1995;12:242–48.

    Article  CAS  Google Scholar 

  19. Fagerstrom K, Heatherton T, Kozlowski L. Nicotine addiction and its assessment. Ear Nose Throat J 1990;69:763–65.

    CAS  PubMed  Google Scholar 

  20. Joreskog K, Sorbom D, Du Toit S, Du Toit M. LISRAL 8: New statistical features. Lincolnwood, IL: Scientific Software International, 2001.

    Google Scholar 

  21. Karanth B. Smoking cessation. Am J Med 2002;112:399–405.

    Article  Google Scholar 

  22. Young J, Ward J. Implementing guidelines for smoking cessation advice in Australian general practice: Opinions, current practices, readiness to change and perceived barriers. Fam Pract 2001;18(1):14–20.

    Article  CAS  Google Scholar 

  23. Serrano V, Woodruff S. Smoking-related attitudes and their sociodemographic correlates among Mexican adult smokers. J Community Health 2003;28(3):209–20.

    Article  Google Scholar 

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Correspondence to Linda G. Haddad RN, PhD.

Additional information

Acknowledgement: This study was funded by Abdul-Hameed Shoman Foundation, Scientific Research Trust, Amman, Jordan.

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Haddad, L.G., Petro-Nustas, W. Predictors of Intention to Quit Smoking Among Jordanian University Students. Can J Public Health 97, 9–13 (2006). https://doi.org/10.1007/BF03405204

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