Open Access<p>Subgrouping University Students Based on Substance Use Pattern: A Latent Class Analysis</p>
Author(s) -
Mohammad Reza Karimirad,
Sima Afrashteh,
Ali Gholami,
Saeid Hossein Oghli,
Abbas Abbasi-Ghahramanloo,
Leila Bordbar,
Mostafa Salari
Publication year - 2020
Publication title -
substance abuse and rehabilitation
Language(s) - English
Resource type - Journals
ISSN - 1179-8467
DOI - 10.2147/sar.s253960
Subject(s) - medicine , latent class model , class (philosophy) , pharmacology , artificial intelligence , machine learning , computer science
High-risk behaviors are the main causes of death and disability among youth and adults. Entering university might cause students to go through their first-hand experience of using substances.