Estimating the probabilities of making a smoking quit attempt in Italy: stall in smoking cessation levels, 1986-2009
<p>Abstract</p> <p>Background</p> <p>No data on annual smoking cessation probability (i.e., the probability of successfully quit in a given year) are available for Italy at a population level. Mathematical models typically used to estimate smoking cessation probabilitie...
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doaj-1a9da5466fa34da687aa64f1e9e243b82020-11-24T22:20:07ZengBMCBMC Public Health1471-24582012-03-0112118310.1186/1471-2458-12-183Estimating the probabilities of making a smoking quit attempt in Italy: stall in smoking cessation levels, 1986-2009Carreras GiuliaGallus SilvanoIannucci LauraGorini Giuseppe<p>Abstract</p> <p>Background</p> <p>No data on annual smoking cessation probability (i.e., the probability of successfully quit in a given year) are available for Italy at a population level. Mathematical models typically used to estimate smoking cessation probabilities do not account for smoking relapse. In this paper, we developed a mathematical model to estimate annual quitting probabilities, taking into account smoking relapse and time since cessation.</p> <p>Methods</p> <p>We developed a dynamic model describing the evolution of current, former, and never smokers. We estimated probabilities of smoking cessation by fitting the model with observed smoking prevalence in Italy, 1986-2009.</p> <p>Results</p> <p>Annual cessation probabilities were higher than 5% only in elderly persons and in women aged < 30 years, while in adults aged 30-49 and 50-59 cessations were about 2% and 3-5%, respectively. Most of quit probabilities stalled from 1986 to 2009.</p> <p>Conclusions</p> <p>Over the last 20 years, cessation probabilities among Italian smokers, particularly for those aged 30-59 years, have been very low and stalled. Quitting in Italy is considered as a practicable strategy only by women in the age of pregnancy and by elderly persons, when it’s likely that symptoms of tobacco-related diseases have already appeared. In order to increase cessation probabilities, smoking cessation treatment policies (introducing total reimbursement of cessation treatments, with a further development of quitlines and smoking cessation services) should be empowered and a country-wide mass media campaign targeting smokers aged 30-59 years and focusing on promotion of quitting should be implemented.</p> http://www.biomedcentral.com/1471-2458/12/183 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Carreras Giulia Gallus Silvano Iannucci Laura Gorini Giuseppe |
spellingShingle |
Carreras Giulia Gallus Silvano Iannucci Laura Gorini Giuseppe Estimating the probabilities of making a smoking quit attempt in Italy: stall in smoking cessation levels, 1986-2009 BMC Public Health |
author_facet |
Carreras Giulia Gallus Silvano Iannucci Laura Gorini Giuseppe |
author_sort |
Carreras Giulia |
title |
Estimating the probabilities of making a smoking quit attempt in Italy: stall in smoking cessation levels, 1986-2009 |
title_short |
Estimating the probabilities of making a smoking quit attempt in Italy: stall in smoking cessation levels, 1986-2009 |
title_full |
Estimating the probabilities of making a smoking quit attempt in Italy: stall in smoking cessation levels, 1986-2009 |
title_fullStr |
Estimating the probabilities of making a smoking quit attempt in Italy: stall in smoking cessation levels, 1986-2009 |
title_full_unstemmed |
Estimating the probabilities of making a smoking quit attempt in Italy: stall in smoking cessation levels, 1986-2009 |
title_sort |
estimating the probabilities of making a smoking quit attempt in italy: stall in smoking cessation levels, 1986-2009 |
publisher |
BMC |
series |
BMC Public Health |
issn |
1471-2458 |
publishDate |
2012-03-01 |
description |
<p>Abstract</p> <p>Background</p> <p>No data on annual smoking cessation probability (i.e., the probability of successfully quit in a given year) are available for Italy at a population level. Mathematical models typically used to estimate smoking cessation probabilities do not account for smoking relapse. In this paper, we developed a mathematical model to estimate annual quitting probabilities, taking into account smoking relapse and time since cessation.</p> <p>Methods</p> <p>We developed a dynamic model describing the evolution of current, former, and never smokers. We estimated probabilities of smoking cessation by fitting the model with observed smoking prevalence in Italy, 1986-2009.</p> <p>Results</p> <p>Annual cessation probabilities were higher than 5% only in elderly persons and in women aged < 30 years, while in adults aged 30-49 and 50-59 cessations were about 2% and 3-5%, respectively. Most of quit probabilities stalled from 1986 to 2009.</p> <p>Conclusions</p> <p>Over the last 20 years, cessation probabilities among Italian smokers, particularly for those aged 30-59 years, have been very low and stalled. Quitting in Italy is considered as a practicable strategy only by women in the age of pregnancy and by elderly persons, when it’s likely that symptoms of tobacco-related diseases have already appeared. In order to increase cessation probabilities, smoking cessation treatment policies (introducing total reimbursement of cessation treatments, with a further development of quitlines and smoking cessation services) should be empowered and a country-wide mass media campaign targeting smokers aged 30-59 years and focusing on promotion of quitting should be implemented.</p> |
url |
http://www.biomedcentral.com/1471-2458/12/183 |
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