Bayesian Zero- Inflated Poisson model for prognosis of demographic factors associated with using crystal meth in Tehran population

Medical Journal of the Islamic Republic of Iran
Asma PourhoseingholiMariet Ghazarian

Abstract

Background: Use of methamphetamine (MA) and other stimulants has increased steadily over the past 10 years. Risk factor evaluation to reduce the problem in the community is one solution to protect people from addiction. This study aimed at using Bayesian zeroinflated Poisson (ZIP) model to investigate the relationship between the number of using crystal meth and some demographic factors in Tehran population. Methods: A cross-sectional study was conducted to investigate crystal meth abuse in Tehran, the capital of Iran, in 2012. Stratified sampling method was used to select samples from 22 urban areas of Tehran. Trained researchers referred to the public places, such as streets, parks, squares, and libraries, to perform face-to-face interviews with the randomly selected samples. Bayesian ZIP model was used to perform the analysis, and SAS 9.3 program was used for data analysis. Results: A total of 993 individuals were studied. According to Bayesian ZIP model, sex (mean= -0.27, 95%CI (-0.485, -0.061)), age (mean= 0.03, 95%CI (0.018, 0.043)), high school level education (mean= 1.276, 95%CI (0.699, 01.9)), diploma level education (mean= 10.4, 95%CI (0.511, 1.69)), and university level education (mean= 0.69, 95%CI (0.142, 1.33)) wer...Continue Reading

Citations

Mar 30, 2019·The International Journal of Health Planning and Management·Saeid MirzaeiLeila Vali

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