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<Articles><Article><Journal><PublisherName></PublisherName><JournalTitle>International Journal of Preventive Medicine (Int J Prev Med)</JournalTitle><Issn>2008-7802</Issn><Volume>0</Volume><Issue>0</Issue><PubDate PubStatus="epublish"><Year>2016</Year><Month>08</Month><Day>20</Day></PubDate></Journal><title locale="en_US">Estimating the Transitional Probabilities of Smoking Stages with Cross‑sectional Data and 10‑Year Projection for Smoking Behavior in Iranian Adolescents</title><FirstPage>1726</FirstPage><LastPage>1726</LastPage><Language>EN</Language><AuthorList><Author><affiliation locale="en_US">Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran</affiliation></Author><Author><affiliation locale="en_US">Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran</affiliation></Author><Author><affiliation locale="en_US">Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran</affiliation></Author><Author><affiliation locale="en_US">Department of Computer Engineering&#13;
and Information Technology, Shahrood University of Technology, Shahrood</affiliation></Author><Author><affiliation locale="en_US">Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran</affiliation></Author></AuthorList><History><PubDate PubStatus="received"><Year>2016</Year><Month>08</Month><Day>20</Day></PubDate></History><abstract locale="en_US">&lt;p&gt;&lt;strong&gt;Background:&lt;/strong&gt; Cigarette smoking is one of the most important health‑related risk factors in terms of morbidity and mortality. In this study, we introduced a new method for deriving the transitional probabilities of smoking stages from a cross‑sectional study and simulated a long‑term smoking&lt;br /&gt;behavior for adolescents.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods:&lt;/strong&gt; In this study in 2010, a total of 4853 high school students were randomly selected and were completed a self‑administered questionnaire about cigarette smoking. We used smoothed age‑ and sex‑specific prevalence of smoking stages in a probabilistic discrete event system for estimating of transitional probabilities. A nonhomogenous discrete time Markov chain analysis was used to model the progression of the smoking in 10 years ahead in the same population.&lt;br /&gt;The mean age of the students was 15.69 &amp;plusmn; 0.73 years (range: 14&amp;ndash;19).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results:&lt;/strong&gt; The smoothed prevalence proportion of current smoking varies between 3.58 and 26.14%. The age‑adjusted odds of initiation in boys is 8.9 (95% confidence interval [CI]: 7.9&amp;ndash;10.0)&lt;br /&gt;times of the odds of initiation of smoking in girls. Our study predicted that the prevalence proportion of current smokers increased from 7.55% in 2010 to 20.31% (95% CI: 19.44&amp;ndash;21.37) for 2019.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions:&lt;/strong&gt; The present study showed a moderately but concerning prevalence of current smoking in Iranian adolescents and introduced a novel method for estimation of transitional probabilities from a cross‑sectional study. The increasing trend of cigarette use among adolescents&lt;br /&gt;indicated the necessity of paying more attention to this group.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords:&lt;/strong&gt; Adolescents, discrete event system, projection, smoking stages, transitional probability&lt;/p&gt;</abstract><web_url>http://ijpm.mui.ac.ir/index.php/ijpm/article/view/1726</web_url><pdf_url>http://ijpm.mui.ac.ir/index.php/ijpm/article/download/1726/2016</pdf_url></Article></Articles>
