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Subgrouping University Students Based on Substance Use Pattern: A Latent Class Analysis

PURPOSE: 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. AIM: This study aimed to detect the subgroups of students based on substance use and assess the eff...

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Autores principales: Karimirad, Mohammad Reza, Afrashteh, Sima, Gholami, Ali, Hossein Oghli, Saeid, Abbasi-Ghahramanloo, Abbas, Bordbar, Leila, Salari, Mostafa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7586019/
https://www.ncbi.nlm.nih.gov/pubmed/33117054
http://dx.doi.org/10.2147/SAR.S253960
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author Karimirad, Mohammad Reza
Afrashteh, Sima
Gholami, Ali
Hossein Oghli, Saeid
Abbasi-Ghahramanloo, Abbas
Bordbar, Leila
Salari, Mostafa
author_facet Karimirad, Mohammad Reza
Afrashteh, Sima
Gholami, Ali
Hossein Oghli, Saeid
Abbasi-Ghahramanloo, Abbas
Bordbar, Leila
Salari, Mostafa
author_sort Karimirad, Mohammad Reza
collection PubMed
description PURPOSE: 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. AIM: This study aimed to detect the subgroups of students based on substance use and assess the effects of religiosity and parental support as well as other related factors on the membership of students in each latent class. METHODS: Using a multistage sampling method, this cross-sectional study was conducted in 2016 in Hormozgan University of Medical Sciences (n=524). All students completed a self-report questionnaire. This questionnaire contained questions about substance use, religious beliefs and familial support. The questions of substance use were prepared using the World Health Organization Alcohol, Smoking and Substance Involvement Screening Test (WHO ASSIST). To analyze the data, PROC LCA statistical method was run in SAS9.2. RESULTS: Three latent classes were identified: 1) nonuser (87.5%), 2) tobacco and illicit drug user (8.7%) and 3) polydrug user (3.8%). Having extramarital sex in the last month (OR=28.29, 95% CI; 8.45–94.76), living alone (OR=4.29, 95% CI; 1.01–18.35) and having a higher score of familial support (OR=0.94, 95% CI; 0.89–0.98) were associated with the polydrug user class. Hookah smoking had the highest (11.1%) and non-medical methylphenidate use had the lowest (2.3%) prevalence among the participants of the study. CONCLUSION: This study revealed that 12.5% of the students were either tobacco and illicit drug users or polydrug users. Thus, focusing on the religiosity and familial support may help design some preventive programs for this stratum of young adults.
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spelling pubmed-75860192020-10-27 Subgrouping University Students Based on Substance Use Pattern: A Latent Class Analysis Karimirad, Mohammad Reza Afrashteh, Sima Gholami, Ali Hossein Oghli, Saeid Abbasi-Ghahramanloo, Abbas Bordbar, Leila Salari, Mostafa Subst Abuse Rehabil Original Research PURPOSE: 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. AIM: This study aimed to detect the subgroups of students based on substance use and assess the effects of religiosity and parental support as well as other related factors on the membership of students in each latent class. METHODS: Using a multistage sampling method, this cross-sectional study was conducted in 2016 in Hormozgan University of Medical Sciences (n=524). All students completed a self-report questionnaire. This questionnaire contained questions about substance use, religious beliefs and familial support. The questions of substance use were prepared using the World Health Organization Alcohol, Smoking and Substance Involvement Screening Test (WHO ASSIST). To analyze the data, PROC LCA statistical method was run in SAS9.2. RESULTS: Three latent classes were identified: 1) nonuser (87.5%), 2) tobacco and illicit drug user (8.7%) and 3) polydrug user (3.8%). Having extramarital sex in the last month (OR=28.29, 95% CI; 8.45–94.76), living alone (OR=4.29, 95% CI; 1.01–18.35) and having a higher score of familial support (OR=0.94, 95% CI; 0.89–0.98) were associated with the polydrug user class. Hookah smoking had the highest (11.1%) and non-medical methylphenidate use had the lowest (2.3%) prevalence among the participants of the study. CONCLUSION: This study revealed that 12.5% of the students were either tobacco and illicit drug users or polydrug users. Thus, focusing on the religiosity and familial support may help design some preventive programs for this stratum of young adults. Dove 2020-10-19 /pmc/articles/PMC7586019/ /pubmed/33117054 http://dx.doi.org/10.2147/SAR.S253960 Text en © 2020 Karimirad et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Karimirad, Mohammad Reza
Afrashteh, Sima
Gholami, Ali
Hossein Oghli, Saeid
Abbasi-Ghahramanloo, Abbas
Bordbar, Leila
Salari, Mostafa
Subgrouping University Students Based on Substance Use Pattern: A Latent Class Analysis
title Subgrouping University Students Based on Substance Use Pattern: A Latent Class Analysis
title_full Subgrouping University Students Based on Substance Use Pattern: A Latent Class Analysis
title_fullStr Subgrouping University Students Based on Substance Use Pattern: A Latent Class Analysis
title_full_unstemmed Subgrouping University Students Based on Substance Use Pattern: A Latent Class Analysis
title_short Subgrouping University Students Based on Substance Use Pattern: A Latent Class Analysis
title_sort subgrouping university students based on substance use pattern: a latent class analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7586019/
https://www.ncbi.nlm.nih.gov/pubmed/33117054
http://dx.doi.org/10.2147/SAR.S253960
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