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Exploring Impact of Marijuana (Cannabis) Abuse on Adults Using Machine Learning

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  • Jeeyae Choi

    (School of Nursing, University of North Carolina, Wilmington, NC 28403, USA)

  • Joohyun Chung

    (College of Nursing, University of Massachusetts, Amherst, MA 01002, USA)

  • Jeungok Choi

    (College of Nursing, University of Massachusetts, Amherst, MA 01002, USA)

Abstract

Marijuana is the most common illicit substance globally. The rate of marijuana use is increasing in young adults in the US. The current environment of legalizing marijuana use is further contributing to an increase of users. The purpose of this study was to explore the characteristics of adults who abuse marijuana (20–49 years old) and analyze behavior and social relation variables related to depression and suicide risk using machine-learning algorithms. A total of 698 participants were identified from the 2019 National Survey on Drug Use and Health survey as marijuana dependent in the previous year. Principal Component Analysis and Chi-square were used to select features (variables) and mean imputation method was applied for missing data. Logistic regression, Random Forest, and K-Nearest Neighbor machine-learning algorithms were used to build depression and suicide risk prediction models. The results showed unique characteristics of the group and well-performing prediction models with influential risk variables. Identified risk variables were aligned with previous studies and suggested the development of marijuana abuse prevention programs targeting 20–29 year olds with a regular depression and suicide screening. Further study is suggested for identifying specific barriers to receiving timely treatment for depression and suicide risk.

Suggested Citation

  • Jeeyae Choi & Joohyun Chung & Jeungok Choi, 2021. "Exploring Impact of Marijuana (Cannabis) Abuse on Adults Using Machine Learning," IJERPH, MDPI, vol. 18(19), pages 1-12, October.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10357-:d:648268
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    References listed on IDEAS

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    1. Reis, J.P. & Auer, R. & Bancks, M.P. & Goff, D.C. & Lewis, C.E. & Pletcher, M.J. & Rana, J.S. & Shikany, J.M. & Sidney, S., 2017. "Cumulative lifetime marijuana use and incident cardiovascular disease in middle age: The coronary artery risk development in young adults (CARDIA) study," American Journal of Public Health, American Public Health Association, vol. 107(4), pages 601-606.
    2. repec:aph:ajpbhl:10.2105/ajph.2017.303654_6 is not listed on IDEAS
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