Hostname: page-component-76fb5796d-45l2p Total loading time: 0 Render date: 2024-04-29T12:50:08.268Z Has data issue: false hasContentIssue false

Gender and Time-Related Differences in a Large Cohort of Heavy Smokers Applying for Treatment to a Tobacco Centre in Italy

Published online by Cambridge University Press:  25 July 2017

Carlotta Defferrari*
Affiliation:
Division of Medical Oncology, E.O. Ospedali Galliera, Genoa, Italy
Cristina Barbara
Affiliation:
Cardiac Rehabilitation Unit, ASL 3, Genoa, Italy
Matteo Puntoni
Affiliation:
Clinical Trial Unit, Scientific Direction, E.O. Ospedali Galliera, Genoa, Italy
Marilena Petrera
Affiliation:
Division of Medical Oncology, E.O. Ospedali Galliera, Genoa, Italy
Stefano Domenicucci
Affiliation:
Cardiovascular Department, ASL 3, Genoa, Italy
Andrea DeCensi
Affiliation:
Division of Medical Oncology, E.O. Ospedali Galliera, Genoa, Italy Wolfson Institute of Preventive Medicine, Queen Mary University of London
Piero Clavario
Affiliation:
Cardiac Rehabilitation Unit, ASL 3, Genoa, Italy
*
Address for correspondence: Carlotta Defferrari, MD, Division of Medical Oncology, E.O. Ospedali Galliera, Genoa, Italy; via Volta 6. Email: carlotta.defferrari@galliera.it

Abstract

Introduction: Attempts to quit smoking have increased in recent years, but the patterns of variations over time are unknown. We aimed at describing time- and sex-related changes in a population of 2,231 subjects who adhered to a smoking-cessation programme lasting 13 years in Italy.

Methods: We measured baseline expired carbon monoxide (expired-CO), Fagerstrom nicotine dependence, Q-MAT test, Zung depression and anxiety scale, Hospital anxiety and depression scale (HADS).

Results: Study population included 1,278 men and 953 women who smoked a median of 25 (interquartile range, IQR: 20–32) and 20 (IQR: 20–30) cigarettes/day, respectively (p < 0.001). The proportion of female smokers increased from 37.5% in 2001–2003 to 46.9% in 2010–2013 (p = 0.003). There was a significant time-related reduction of median daily cigarette consumption, with a more noticeable decrease in men. Median expired-CO (parts per million (ppm)) increased only in women, from 18 (IQR: 14–23) in 2001–03 to 20 (IQR: 14–28) in 2010–13 (p = 0.001), whereas Fagerstrom test for nicotine dependence did not vary. Differences in psychological characteristics in the last 3 years showed that women were more clinically depressed than men (16.6% versus 7.6%, p < 0.001).

Conclusions: Despite a decrease in the number of daily cigarettes with time, expired-CO tends to increase in women, who are also more clinically depressed and anxious than men. A personalised approach to specific subgroups of smokers, with special emphasis on a psychological support for women, seems appropriate.

Type
Original Articles
Copyright
Copyright © The Author(s) 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aubin, H.-J., Lagrue, G., Legeron, P., Azoulaȉ, G., Pelissolo, S., Humbert, R. et al. (2004). Smoking cessation motivation questionnaire (Q-MAT). Construction and validation. Alcoologie et Addictologie, 26 (4), 311316.Google Scholar
Becoña, E., López-Durán, A., Fernández del Río, E., & Martínez, Ú. (2014). Changes in the profiles of smokers seeking cessation treatment and in its effectiveness in Galicia (spain) 2001–2010. BMC Public Health, 14, 613. doi: 10.1186/1471-2458-14-613.Google Scholar
Berlin, I., Hakes, J. K., Hu, M. C., & Covey, L. S. (2015). Tobacco use and suicide attempt: Longitudinal analysis with retrospective reports. PLoS One, 10 (4), e0122607. doi: 10.1371/journal.pone.0122607.Google Scholar
Burris, J. L., Whalquist, A. E., & Carpenter, M. J. (2013). Characteristics of cigarette smokers who want to quit now versus quit later. Addictive Behaviors, 38 (6), 22572260. doi: 10.1016/j.addbeh.2013.02.008.Google Scholar
Callinan, J. E., Clarke, A., Doherty, K., & Kelleher, C. (2010). Legislative smoking bans for reducing second hand smoke exposure, smoking prevalence and tobacco consumption. Cochrane Database of Systematic Reviews, 4, CD005992. doi: 10.1002/14651858.Google Scholar
Castro, M. R., Matsuo, T., & Nunes, S. O. (2010). Clinical characteristics and quality of life of smokers at a referral center for smoking cessation. Jornal Brasileiro de Pneumologia, 36 (1), 6774.Google Scholar
Colivicchi, F., Mocini, D., Tubaro, M., Aiello, A., Clavario, P., & Santini, M. (2011). Effect of smoking relapse on outcome after acute coronary syndromes. American Journal of Cardiology, 108 (6), 804808. doi: 10.1016/j.amjcard.2011.04.033.Google Scholar
Cosgrove, K. P., Wang, S., Kim, S. J., McGovern, E., Nabulsi, N., Gao, H. et al. (2014). Sex differences in the brain's dopamine signature of cigarette smoking. Journal of Neuroscience, 34 (50), 1685116855. doi: 10.1523/JNEUROSCI.Google Scholar
Dwyer-Lindgren, L., Mokda, A. H., Srebotnjak, T., Flaxman, A. D., Hansen, G. M., & Murray, C. J. (2014). Cigarette smoking prevalence in US counties: 1996–2012. Population Health Metrics, 12 (1), 5. doi: 10.1186/1478-7954-12-5.Google Scholar
Fagerstrom, K. O., & Schneider, N. G. (1989). Measuring nicotine dependence: A review of the fagerstrom tolerance questionnaire. Journal of Behavioral Medicine, 12 (2), 159182.Google Scholar
Fiore, M. C., Jaen, C. R., & Baker, T. B., the Guideline Panel. (2008). Treating tobacco use and dependence: 2008 update: Clinical practice guideline. Rockville, MD: US Department of Health and Human Services, Public Health Service.Google Scholar
Gilbert, H., Sutton, S., & Sutherland, G. (2005). Who calls QUIT? The characteristics of smokers seeking advice via a telephone helpline compared with smokers attending a clinic and those in the general population. Public Health, 119 (10), 933939. doi:10.1016/j.puhe.2005.03.005.Google Scholar
Goldenberg, M., Danovitch, I., & IsHak, W. W. (2014). Quality of life and smoking. The American Journal on Addictions, 23 (6), 540562. doi: 10.1111/j.1521-0391.2014.12148.Google Scholar
Greaves, L. (2015). The meaning of smoking to woman and their implication for cessation. International Journal of Environmental Research and Public Health, 12 (2), 14491465. doi: 10.3390/ijerph120201449.Google Scholar
IARC (1986). IARC monographs on the evaluation of the carcinogenic risk of chemicals to humans, Vol. 38, Lyon: Tobacco Smoking, IARC.Google Scholar
Kotz, D., Brown, J., & West, R. (2013). “Real-world” effectiveness of smoking cessation treatments: A population study. Addiction, 109 (3), 491499. doi: 10.1111/add.12429.Google Scholar
Laugesen, M., Epton, M., Frampton, C. M., Glover, M., & Lea, R. A. (2009). Hand-rolled cigarette smoking patterns compared with factory-made cigarette smoking in New Zealand men. BMC Public Health, 9, 194. doi: 10.1186/1471-2458-9-194.Google Scholar
Luger, T. M., Suls, J., & Vander Weg, M. W. (2014). How robust is the association between smoking and depression in adults? A meta-analysis using linear mixed-effects models. Addictive Behaviors, 39 (10), 14181429. doi: 10.1016/j.addbeh.2014.05.011.Google Scholar
Lugo, A., Asciutto, R., Pacifici, R., Colombo, P., La Vecchia, C., & Gallus, S. (2015). Smoking in Italy 2013–2014, with a focus on the young. Tumori, 101 (5), 529534. doi: 10.5301/tj.5000311.Google Scholar
Mannocci, A., Colamesta, V., Conti, V., Cattaruzza, M. S., Paone, G., Cafolla, M. et al. (2014). Demographic characteristics, nicotine dependence, and motivation to quit as possible determinants of smoking behaviors and acceptability of shocking warnings in Italy. Biomed Research International, 2014, 723035. doi: 10.1155/2014/723035.Google Scholar
Nakajima, M., & al'Absi, M. (2012). Predictors of risk of smoking relapse in men and women: A prospective examination. Psychology of Addictive Behaviors, 26 (3), 633637. doi: 10.1037/a0027280.Google Scholar
Nerín, I., Crucelaegui, A., Mas, A., & Guillén, D. (2003). Profile of smokers who seek treatment at a smoking cessation clinic. Archivos de Bronconeumología, 39 (7), 298302.Google Scholar
Pang, R. D., Zvolensk, M. J., Schmidt, N. B., & Leventhal, A. M. (2015). Gender differences in negative reinforcement smoking expectancies. Nicotine & Tobacco Research, 17 (6), 750754. doi: 10.1093/ntr/ntu226.Google Scholar
Sieminska, A., & Jassem, E. (2014). The many faces of tobacco use among women. Medical Science Monitor, 20, 153162. doi: 10.12659/MSM.889796.Google Scholar
Smith, P. H., Kasza, K. A., Hyland, A., Fong, G. T., Borland, R., Brady, K. et al. (2015). Gender differences in medication use and cigarette smoking cessation: Results from the international tobacco control four country survey. Nicotine & Tobacco Research, 17 (4), 463472. doi: 10.1093/ntr/ntu212.Google Scholar
U.S. Department of Health and Human Services. (2014). The health consequences of smoking-50 years of progress. A report of the surgeon general. Atlanta, GA: U.S. Department of Health and Human Services, Center for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health.Google Scholar
Underwood, J. M., Richards, T. B., Henley, S. J., Momin, B., Houston, K., Rolle, I. et al. (2015). Decreasing trend in tobacco-related cancer incidence, United States 2005–2009. Journal of Community Health, 40 (3), 414418. doi: 10.1007/s10900-014-9951-6.Google Scholar
Young, D., Borland, R., Hammond, D., Cummings, K. M., Devli, E., Yong, H. H. et al. (2006). Prevalence and attributes of roll-your-own smokers in the International Tobacco Control (ITC) four countries survey. Tobacco Control, 15 (3), iii76iii82. doi: 10.1136/tc.2005.013268.Google Scholar
Zigmond, A. S., & Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica, 67 (6), 361370.Google Scholar
Zung, W. W. (1965). A self-rating depression scale. Archives of General Psychiatry, 12, 6370.Google Scholar
Zung, W. W. (1971). A rating instrument for anxiety disorders. Psychosomatics, 12, 371379.Google Scholar