Self-Reported Smoking Status 10-Months After a Single Session Intervention Including an Education Conference About Smoking Harms and Announcement of Spirometric Lung-Age

1. World Health Organisation . global report on trends in prevalence of tobacco use 2000-2025, 3rd edition. Geneva: World Health Organization; 2019. Available from this URL: https://www.who.int/publications/i/item/who-global-report-on-trends-in-prevalence-of-tobacco-use-2000-2025-third-edition (last visit: August 7th 2021).
Google Scholar2. Goodchild, M, Nargis, N, Tursan d'Espaignet, E. Global economic cost of smoking-attributable diseases. Tob Control. 2018;27(1):58–64.
Google Scholar | Crossref | Medline3. Alberg, AJ, Shopland, DR, Cummings, KM. The 2014 surgeon general's Report: commemorating the 50th anniversary of the 1964 report of the advisory committee to the US surgeon general and updating the evidence on the health consequences of cigarette smoking. Am J Epidemiol. 2014;179(4):403–412.
Google Scholar | Crossref | Medline4. World Health Organisation . report on the global tobacco epidemic, 2019. Offer help to quit tobacco use. Available from this URL: https://apps.who.int/iris/bitstream/handle/10665/326043/9789241516204-eng.pdf?ua = 1 (last visit: August 7th 2021).
Google Scholar5. Abdul-Kader, J, Airagnes, G, D'Almeida, S, Limosin, F, Le Faou, AL. Interventions for smoking cessation in 2018. Rev Pneumol Clin. 2018;74(3):160–169.
Google Scholar | Crossref | Medline6. Henningfield, JE, Shiffman, S, Ferguson, SG, Gritz, ER. Tobacco dependence and withdrawal: science base, challenges and opportunities for pharmacotherapy. Pharmacol Ther. 2009;123(1):1–16.
Google Scholar | Crossref | Medline7. Flack, S, Taylor, M, Trueman, P. Cost-effectiveness of interventions for smoking cessation. Final report 2007. Available from this URL: https://www.nice.org.uk/guidance/ph5/evidence/economic-modelling-report-pdf-65926189 (last visit: August 7th 2021).
Google Scholar8. Spiegelhalter, D . How old are you, really? Communicating chronic risk through ‘effective age’ of your body and organs. BMC Med Inform Decis Mak. 2016;16:104. doi:10.1186/s12911-016-0342-z
Google Scholar | Crossref | Medline9. Khelifa, MB, Salem, HB, Sfaxi, R, Chatti, S, Rouatbi, S, Saad, HB. “Spirometric” lung age reference equations: a narrative review. Respir Physiol Neurobiol. 2018;247:31–42. doi:10.1016/j.resp.2017.08.018
Google Scholar | Crossref | Medline10. Drummond, MB, Astemborski, J, Lambert, AA, et al. A randomized study of contingency management and spirometric lung age for motivating smoking cessation among injection drug users. BMC Public Health. 2014;14(761). doi:10.1186/1471-2458-14-761
Google Scholar | Crossref | Medline11. Kaminsky, DA, Marcy, T, Dorwaldt, A, et al. Motivating smokers in the hospital pulmonary function laboratory to quit smoking by use of the lung age concept. Nicotine Tob Res. 2011;13(11):1161–1166.
Google Scholar | Crossref | Medline12. Toda, R, Hoshino, T, Kawayama, T, et al. Validation of “lung age” measured by spirometry and handy electronic FEV1/FEV6 meter in pulmonary diseases. Intern Med. 2009;48(7):513–521.
Google Scholar | Crossref | Medline13. Parker, DR, Eltinge, S, Rafferty, C, Eaton, CB, Clarke, JG, Goldman, RE. Primary care providers’ views on using lung age as an aid to smoking cessation counseling for patients with chronic obstructive pulmonary disease. Lung. 2015;193(3):321–327.
Google Scholar | Crossref | Medline14. Lorenzo, A, Noel, F, Lorenzo, M, Van Den Broucke, J. The role of spirometry in encouraging smoking cessation in general practice. A pilot study using “lung age”. Rev Mal Respir. 2017;34(7):734–741.
Google Scholar | Crossref | Medline15. Ben Mdalla, S, Ben Saad, H, Ben Mansour, N, et al. The announcement of the lung age it is a motivation to quit smoking? Tunis Med. 2013;91(8-9):521–526.
Google Scholar | Medline16. Parkes, G, Greenhalgh, T, Griffin, M, Dent, R. Effect on smoking quit rate of telling patients their lung age: the Step2quit randomised controlled trial. BMJ. 2008;336(7644):598–600.
Google Scholar | Crossref | Medline17. Takagi, H, Morio, Y, Ishiwata, T, et al. Effect of telling patients their “spirometric-lung-age” on smoking cessation in Japanese smokers. J Thorac Dis. 2017;9(12):5052–5060.
Google Scholar | Crossref | Medline18. Foulds, J, Veldheer, S, Hrabovsky, S, et al. The effect of motivational lung age feedback on short-term quit rates in smokers seeking intensive group treatment: a randomized controlled pilot study. Drug Alcohol Depend. 2015;153:271–277. doi:10.1016/j.drugalcdep.2015.05.007
Google Scholar | Crossref | Medline19. Lipkus, IM, Prokhorov, AV. The effects of providing lung age and respiratory symptoms feedback on community college smokers’ perceived smoking-related health risks, worries and desire to quit. Addict Behav. 2007;32(3):516–532.
Google Scholar | Crossref | Medline20. Segnan, N, Ponti, A, Battista, RN, et al. A randomized trial of smoking cessation interventions in general-practice in Italy. Cancer Causes & Control. 1991;2(4):239–246.
Google Scholar | Crossref | Medline21. Ojedokun, J, Keane, S, O’Connor, K. Lung age bio-feedback using a portable lung age meter with brief advice during routine consultations promote smoking cessation- Know2quit multicenter randomized control trial. J Gen Pract. 2013;1(123) doi: 10.4172/2329-9126.1000123.
Google Scholar | Crossref22. Morris, JF, Temple, W. Spirometric “lung age” estimation for motivating smoking cessation. Prev Med. 1985;14(5):655–662.
Google Scholar | Crossref | Medline23. Ben Khelifa, M, Ben Saad, H. Which reference equation should be applied to estimate the lung age? Rev Mal Respir. 2018;35(9):997–998.
Google Scholar | Crossref | Medline24. Ben Saad, H, Elhraiech, A, Hadj Mabrouk, K, et al. Estimated lung age in healthy north african adults cannot be predicted using reference equations derived from other populations. Egypt J Chest Dis Tuberc. 2013;62(4):789–804.
Google Scholar | Crossref25. Miller, MR, Hankinson, J, Brusasco, V, et al. Standardisation of spirometry. Eur Respir J. 2005;26(2):319–338.
Google Scholar | Crossref | Medline | ISI26. Yamaguchi, K, Omori, H, Onoue, A, et al. Novel regression equations predicting lung age from varied spirometric parameters. Respir Physiol Neurobiol. 2012;183(2):108–114.
Google Scholar | Crossref | Medline27. Ishida, Y, Ichikawa, YE, Fukakusa, M, Kawatsu, A, Masuda, K. Novel equations better predict lung age: a retrospective analysis using two cohorts of participants with medical check-up examinations in Japan. NPJ Prim Care Respir Med. 2015;25:15011. doi:10.1038/npjpcrm.2015.11
Google Scholar | Crossref | Medline28. Hansen, JE, Sun, XG, Wasserman, K. Calculating gambling odds and lung ages for smokers. Eur Respir J. 2010;35(4):776–780.
Google Scholar | Crossref | Medline29. Newbury, W, Lorimer, M, Crockett, A. Newer equations better predict lung age in smokers: a retrospective analysis using a cohort of randomly selected participants. Prim Care Respir J. 2012;21(1):78–84.
Google Scholar | Crossref | Medline30. Saad H, B, Selmi, H, Hadj Mabrouk, K, et al. Spirometric “lung Age” estimation for north african population. Egypt J Chest Dis Tuberc. 2014;63(2):491–503.
Google Scholar | Crossref31. Herzog, TA, Pokhrel, P. Ethnic differences in smoking rate, nicotine dependence, and cessation-related variables among adult smokers in hawaii. J Community Health. 2012;37(6):1226–1233.
Google Scholar | Crossref | Medline32. Beaudoin, CE . Exploring antismoking ads: appeals, themes, and consequences. J Health Commun. 2002;7(2):123–137.
Google Scholar | Crossref | Medline | ISI33. The tobacco atlas (6th edition). Tunisia. Available from this URL: https://files.tobaccoatlas.org/wp-content/uploads/pdf/tunisia-country-facts-en.pdf (last visit: August 7th 2021).
Google Scholar34. Dell'Omo, M, Baccolo, TP, Marcolina, D, Roscelli, F, Muzi, G, Murgia, N. Smoking in the workplace: role of occupational physicians. G Ital Med Lav Ergon. 2010 Apr-Jun;32(2):174–181.
Google Scholar | Medline35. Lang, T, Nicaud, V, Slama, K, et al. Smoking cessation at the workplace. Results of a randomised controlled intervention study. Worksite physicians from the AIREL group. J Epidemiol Community Health. 2000 May;54(5):349–354.
Google Scholar | Crossref | Medline36. Whitley, E, Ball, J. Statistics review 4: sample size calculations. Crit Care. 2002;6(4):335–341.
Google Scholar | Crossref | Medline | ISI37. Prochaska, JO, DiClemente, CC. Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol. 1983;51(3):390–395.
Google Scholar | Crossref | Medline | ISI38. Ben Saad, H, Khemiss, M, Bougmiza, I, et al. Spirometric profile of narghile smokers. Rev Mal Respir. 2009;26(3):299–314.
Google Scholar | Medline39. Kassim, S, Salam, M, Croucher, R. Validity and reliability of the fagerstrom test for cigarette dependence in a sample of arabic speaking UK-resident Yemeni khat chewers. Asian Pac J Cancer Prev. 2012;13(4):1285–1288.
Google Scholar | Crossref | Medline40. Frith, P, Crockett, A, Beilby, J, et al. Simplified COPD screening: validation of the PiKo-6(R) in primary care. Prim Care Respir J. 2011;20(2):190–198.
Google Scholar | Crossref | Medline41. Jouneau, S, Pinault, M, Gouyet, T, et al. AIRBAg study: preliminary results after one year of screening for COPD in dairy farmers. Rev Mal Respir. 2015;32(3):240–248.
Google Scholar | Crossref | Medline42. Tsai AG, Wadden TA. In the clinic: obesity. Ann Intern Med. 2013;159(5):ITC3-1-ITC3-15.
Google Scholar43. Wang, S, Gong, W, Tian, Y, Zhou, J. FEV1/FEV6 In primary care is a reliable and easy method for the diagnosis of COPD. Respir Care. 2016;61(3):349–353.
Google Scholar | Crossref | Medline44. Fiore, MC, Baker, TB. Clinical practice. Treating smokers in the health care setting. N Engl J Med. 2011;365(13):1222–1231.
Google Scholar | Crossref | Medline45. Stead, LF, Buitrago, D, Preciado, N, Sanchez, G, Hartmann-Boyce, J, Lancaster, T. Physician advice for smoking cessation. Cochrane Database Syst Rev. 2013;2013(5):CD000165.
Google Scholar46. Tanihara, S, Momose, Y. Reasons for smoking cessation attempts among Japanese male smokers vary by nicotine dependence level: a cross-sectional study after the 2010 tobacco tax increase. BMJ open. 2015;5(3):e006658.
Google Scholar | Crossref | Medline47. Bize, R, Burnand, B, Mueller, Y, Cornuz, J. Effectiveness of biomedical risk assessment as an aid for smoking cessation: a systematic review. Tob Control. 2007;16(3):151–156.
Google Scholar | Crossref | Medline48. Rodríguez-Bolaños, R, Caballero, M, Ponciano-Rodríguez, G, et al. Gender-related beliefs and attitudes about tobacco use and smoking cessation in Mexico. Health Psychol Behav Med. 2021;9(1):547–566.
Google Scholar | Crossref | Medline49. Lindsay, HG, Wamboldt, FS, Holm, KE, et al. Impact of a medical diagnosis on decision to stop smoking and successful smoking cessation. Chronic Obstr Pulm Dis. 2021;8(3):360–370.
Google Scholar | Medline50. Kotz, D, Wesseling, G, Aveyard, P, van Schayck, OC. Smoking cessation and development of respiratory health in smokers screened with normal spirometry. Respir Med. 2011;105(2):243–249.
Google Scholar | Crossref | Medline51. Garnett, C, Shahab, L, Raupach, T, West, R, Brown, J. Understanding the association between spontaneous quit attempts and improved smoking cessation success rates: a population survey in england with 6-month follow-up. Nicotine Tob Res. 2020;22(9):1460–1467.
Google Scholar | Crossref |

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