Correlations and causations: Academic performance and risky behaviors among adolescents

Youth are at the forefront of the future; however, many are engaging in risky behaviors such as drugs and alcohol [6]. As high as 19.9% of youth in the United States aged 14-15 have reported having at least one drink, creating a sense of normality around the issue. In order to find potential associations and causations between these risky behaviors and other factors such as mental health, financial issues, and social isolation, Cramér’s V statistic [2] and the Fast Causal Inference (FCI) algorithm [5], a causal AI algorithm, were employed. Through these methods, it was determined that physical and mental health problems and social isolation are the two most likely motivations for students to experiment with drugs. This research marks the initial steps and further research on this topic could further reveal underlying factors influencing youth actions.

Authors

Publication Details

Journal
STEM Fellowship Journal
Published
2025-11-14
DOI
https://doi.org/10.17975/sfj-2025-019
Primary Topic
Substance Abuse Treatment and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Correlations and causations: Academic performance and risky behaviors among adolescents

Aaron Tan, Prakhar Mishra, А. Г. Козырев, Priya Pathak et al.
STEM Fellowship Journal
Substance Abuse Treatment and Outcomes
article

Correlations and causations: Academic performance and risky behaviors among adolescents

Aaron Tan, Prakhar Mishra, А. Г. Козырев, Priya Pathak, Lucas Calosing
article en

Abstract

Youth are at the forefront of the future; however, many are engaging in risky behaviors such as drugs and alcohol [6]. As high as 19.9% of youth in the United States aged 14-15 have reported having at least one drink, creating a sense of normality around the issue. In order to find potential associations and causations between these risky behaviors and other factors such as mental health, financial issues, and social isolation, Cramér’s V statistic [2] and the Fast Causal Inference (FCI) algorithm [5], a causal AI algorithm, were employed. Through these methods, it was determined that physical and mental health problems and social isolation are the two most likely motivations for students to experiment with drugs. This research marks the initial steps and further research on this topic could further reveal underlying factors influencing youth actions.

STEM Fellowship Journal
Openalex Percentile: Top 54%
Substance Abuse Treatment and Outcomes
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