Study links marijuana use and distress with college binge drinking

Understanding predictors of binge-drinking behaviors among college students: a random forests analysis.

Journal of American college health : J of ACH β€’ β€’ Relevant
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AI Summary

This abstract-based summary describes an observational machine-learning study asking which factors predict binge drinking among 31,120 college students in the 2021–2022 Healthy Minds Study. Researchers used random forests, partial-dependence plots, and mixed-effects logistic regression to examine marijuana use alongside social, psychological, and demographic characteristics. The study did not test a cannabis intervention or establish that marijuana use causes binge drinking.

Marijuana use, older age, lower religiosity, depression, and a weaker sense of belonging were among the strongest predictors of binge drinking. Emotional distress and diminished belonging were associated with higher predicted risk, while loneliness showed the opposite pattern; younger age and higher religiosity were associated with lower predicted risk. The abstract reports associations and prediction patterns, not treatment effects or evidence that changing any factor would prevent binge drinking. The most important limitation is that this abstract cannot establish causation, and it does not provide effect sizes or enough detail to judge the practical importance of each predictor.

πŸ’‘ Key Findings

1
In 31,120 college students, marijuana use was among the strongest predictors of binge drinking in a random-forests analysis.
High
80%
2
Depression and a diminished sense of belonging were associated with higher predicted risk of binge drinking.
High
80%
3
Loneliness showed the opposite pattern, while younger age and higher religiosity were associated with lower predicted risk.
Good
75%
4
Because this was an observational analysis, the findings show associations and prediction patternsβ€”not causation.
High
95%

πŸ“„ Original Abstract

Objective: This study used a machine learning approach to examine how marijuana use, social connectedness, psychological distress, and demographic characteristics predicted binge drinking (BD) among 31,120 college students from the 2021-2022 Healthy Minds Study. Methods: A random forests analysis was used to assess the influence of predictors of binge drinking, and partial dependence plots and mixed-effects logistic regression were used to determine the direction of each predictor. Results: Findings indicated that marijuana use, older age, lower religiosity, depression, and diminished sense of belonging were among the strongest predictors of binge drinking. Conclusions: This study found that marijuana use, emotional distress, and diminished belonging were associated with higher predicted risk of BD, whereas loneliness showed the opposite pattern. Younger age and higher religiosity were associated with lower predicted risk of BD. Findings may inform risk stratification and campus-level prevention efforts that integrate mental health and substance use services.

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