Application of zero-inflated poisson regression model to factors on marijuana use among U.S. Youth

Interest in and potential use of marijuana has been increasing among adolescents.However, data on adolescent marijuana use still show most respondents having no experience using marijuana.Therefore, there is a high possibility that interpretation distortion will occur when fitting simple regression due to the excessive zero values.To address the issue, this study applied Zero-inflated poisson (ZIP) regression model to identify the relationship between the number of marijuana uses or the probability to use it and the home environment, leisure activities, and psychological characteristics.The ZIP model allows for separate estimates of the probability of marijuana use and the frequency of use.The results showed that social environments, family background, and individual behavioral patterns affected the number of marijuana use.These results can serve as the basis for designing youth drug prevention policies and education programs and suggest the direction of establishing a comprehensive prevention system.

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Publication Details

Journal
Korean Journal of Applied Statistics
Published
2026-06-30
DOI
https://doi.org/10.5351/kjas.2026.39.3.301
Primary Topic
Substance Abuse Treatment and Outcomes
Type
article
Field-Weighted Citation Impact
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article

Application of zero-inflated poisson regression model to factors on marijuana use among U.S. Youth

Misung Yi, 강민정, Jeewon Kim
Korean Journal of Applied Statistics
Substance Abuse Treatment and Outcomes
article

Application of zero-inflated poisson regression model to factors on marijuana use among U.S. Youth

Misung Yi, 강민정, Jeewon Kim
article en

Abstract

Interest in and potential use of marijuana has been increasing among adolescents.However, data on adolescent marijuana use still show most respondents having no experience using marijuana.Therefore, there is a high possibility that interpretation distortion will occur when fitting simple regression due to the excessive zero values.To address the issue, this study applied Zero-inflated poisson (ZIP) regression model to identify the relationship between the number of marijuana uses or the probability to use it and the home environment, leisure activities, and psychological characteristics.The ZIP model allows for separate estimates of the probability of marijuana use and the frequency of use.The results showed that social environments, family background, and individual behavioral patterns affected the number of marijuana use.These results can serve as the basis for designing youth drug prevention policies and education programs and suggest the direction of establishing a comprehensive prevention system.

Korean Journal of Applied StatisticsVol. 39(3)
Dankook University (KR)
Zero hunger
Openalex Percentile: Top 8%
Substance Abuse Treatment and Outcomes
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