Estimating the transitional probabilities of smoking stages with cross-sectional data and 10-year projection for smoking behavior in Iranian adolescents

Abstract

Background: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 behavior for adolescents.Methods: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. The mean age of the students was 15.69 ± 0.73 years (range: 14–19).Results: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]: 7.9–10.0) 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: 19.44–21.37) for 2019.Conclusions: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 indicated the necessity of paying more attention to this group.

Causal Effect of Self-esteem on Cigarette Smoking Stages in Adolescents: Coarsened Exact Matching in a Longitudinal Study

“…All 5,106 students of these classes were invited to participate in the study. More details about sampling can be found elsewhere [27]. Finally, 4,853 students (14–18 years) completed a self-administered multiple-choice anonym questionnaire for the first phase of study.…”

Predictors of Transition in Smoking Stages in Iranian Adolescents: A Probabilistic Discrete Event System Model

“…Under the assumption that the age-specific transition probabilities remain more stable over time (no cohort effect), data from a cross sectional study could provide a snapshot of the states (Never Smoker, Current Smoker, Ex-smoker). In this model, given the status of smoking at age (a), we wanted to know what the transition probabilities are for each age, ending up in one of the three states one year later at age (a+1) (16). The smoothed age-specific prevalence of smoking stages is shown in Table 1.…”

“…In the present study, the probability whether a subject will be in a same or a different stage one year later is defined as transitional probability. The detailed methodology of this estimation is presented in another study (16).…”