Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Predictors of Transition in Smoking Stages in Iranian Adolescents: A Probabilistic Discrete Event System Model Publisher



Khosravi A1 ; Holakouienaieni K1 ; Mansournia MA1 ; Mahmoodi M1 ; Pouyan AA2
Authors
Show Affiliations
Authors Affiliations
  1. 1. Epidemiology and Biostatistics Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Computer Engineering and Information Technology Department, University of Shahrood, Shahrood, Iran

Source: Iranian Journal of Psychiatry and Behavioral Sciences Published:2017


Abstract

Background: Cigarette smoking is one of the most important public health problems. Objectives: This study determined the personal and environmental predictors of transition across smoking stages using cross sectional data. Methods: In this cross sectional study, 4 853 students (14 to 19 years) completed a self-administered multiple-choice anonymous questionnaire. We used a probabilistic discrete event system (PDES) for estimating the transitional probabilities in smoking stages in terms of sex, peer and family smoking, attitude towards smoking, general risk taking behavior, and the socio-economic status. Results: The results showed factors such as being a boy (OR = 8.9 (7.9 - 10.0)), having a positive attitude towards smoking (OR = 8.2 (6.5 - 10.5)), and having a smoker friend (OR = 5.2 (3.6 - 7.6)) were highly associated with the initiation of smoking. In contrast, having a smoker friend is the most important factor that prevents one from quitting smoking (OR = 0.08 (0.07 - 0.09)). Also, this factor is important in the adolescents' relapse from being an ex-smoker to a current smoker. Conclusions: Prevention efforts willneedto bementionedfor reducing thesmokinginitiation risk factorsandthe quitting of smoking. The programs aimed at smoking prevention and intervention should focus on the protective factors to reduce the probability of smoking initiation and relapsing. © 2017, Mazandaran University of Medical Sciences.