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A discriminant analysis model of psychosocial predictors of problematic Internet use and cannabis use disorder in university students

Researchers have found similarities and differences between behavioral and drug addictions. The present study was designed to explore which of a series of psychosocial predictors of addictive behaviors could differentiate problematic Internet use (PIU) and Cannabis Use Disorder (CUD) in a sample of...

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Autores principales: Akbari, Mehdi, Bahadori, Mohammad Hossein, Mohammadkhani, Shahram, Kolubinski, Daniel C., Nikčević, Ana V., Spada, Marcantonio M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186557/
https://www.ncbi.nlm.nih.gov/pubmed/34141856
http://dx.doi.org/10.1016/j.abrep.2021.100354
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author Akbari, Mehdi
Bahadori, Mohammad Hossein
Mohammadkhani, Shahram
Kolubinski, Daniel C.
Nikčević, Ana V.
Spada, Marcantonio M.
author_facet Akbari, Mehdi
Bahadori, Mohammad Hossein
Mohammadkhani, Shahram
Kolubinski, Daniel C.
Nikčević, Ana V.
Spada, Marcantonio M.
author_sort Akbari, Mehdi
collection PubMed
description Researchers have found similarities and differences between behavioral and drug addictions. The present study was designed to explore which of a series of psychosocial predictors of addictive behaviors could differentiate problematic Internet use (PIU) and Cannabis Use Disorder (CUD) in a sample of University students. A total of 144 participants (76 males, mean age = 23.03 years ± 2.83) were separated into three groups: those presenting with PIU (18 females, Mean age = 22.27 years), those presenting with CUD (22 female, Mean age = 22.73 years), and a control group (28 female, Mean age = 24.04 years). Participants completed the Internet Abusive Use Questionnaire (IAUQ), the Severity of Dependence Scale (SDS), the Multidimensional Scale of Perceived Social Support (MSPSS), the Barratt Impulsiveness Scale-11 (BIS-11), the Multidimensional Distress Tolerance Scale (MDTS), the Emotion Regulation Questionnaire (ERQ), the Metacognitions Questionnaire-30 (MCQ-30), and the Repetitive Thinking Questionnaire-10 (RTQ-10). The classification analysis results showed that 68.8% of the control group, 70.8% of the PIU group, and 81.3% of the CUD group were correctly classified in their respective groups. In addition, the results of the discriminant function analysis showed that there was a significant difference between members of the PIU and CUD groups in the degree of family support (0.45), significant other (0.33), tolerance of physical discomfort (0.30), reappraisal (0.42), and cognitive confidence (0.35). The findings provide evidence that specific psychosocial predictors can discriminate PIU from CUD.
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spelling pubmed-81865572021-06-16 A discriminant analysis model of psychosocial predictors of problematic Internet use and cannabis use disorder in university students Akbari, Mehdi Bahadori, Mohammad Hossein Mohammadkhani, Shahram Kolubinski, Daniel C. Nikčević, Ana V. Spada, Marcantonio M. Addict Behav Rep Research paper Researchers have found similarities and differences between behavioral and drug addictions. The present study was designed to explore which of a series of psychosocial predictors of addictive behaviors could differentiate problematic Internet use (PIU) and Cannabis Use Disorder (CUD) in a sample of University students. A total of 144 participants (76 males, mean age = 23.03 years ± 2.83) were separated into three groups: those presenting with PIU (18 females, Mean age = 22.27 years), those presenting with CUD (22 female, Mean age = 22.73 years), and a control group (28 female, Mean age = 24.04 years). Participants completed the Internet Abusive Use Questionnaire (IAUQ), the Severity of Dependence Scale (SDS), the Multidimensional Scale of Perceived Social Support (MSPSS), the Barratt Impulsiveness Scale-11 (BIS-11), the Multidimensional Distress Tolerance Scale (MDTS), the Emotion Regulation Questionnaire (ERQ), the Metacognitions Questionnaire-30 (MCQ-30), and the Repetitive Thinking Questionnaire-10 (RTQ-10). The classification analysis results showed that 68.8% of the control group, 70.8% of the PIU group, and 81.3% of the CUD group were correctly classified in their respective groups. In addition, the results of the discriminant function analysis showed that there was a significant difference between members of the PIU and CUD groups in the degree of family support (0.45), significant other (0.33), tolerance of physical discomfort (0.30), reappraisal (0.42), and cognitive confidence (0.35). The findings provide evidence that specific psychosocial predictors can discriminate PIU from CUD. Elsevier 2021-05-27 /pmc/articles/PMC8186557/ /pubmed/34141856 http://dx.doi.org/10.1016/j.abrep.2021.100354 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research paper
Akbari, Mehdi
Bahadori, Mohammad Hossein
Mohammadkhani, Shahram
Kolubinski, Daniel C.
Nikčević, Ana V.
Spada, Marcantonio M.
A discriminant analysis model of psychosocial predictors of problematic Internet use and cannabis use disorder in university students
title A discriminant analysis model of psychosocial predictors of problematic Internet use and cannabis use disorder in university students
title_full A discriminant analysis model of psychosocial predictors of problematic Internet use and cannabis use disorder in university students
title_fullStr A discriminant analysis model of psychosocial predictors of problematic Internet use and cannabis use disorder in university students
title_full_unstemmed A discriminant analysis model of psychosocial predictors of problematic Internet use and cannabis use disorder in university students
title_short A discriminant analysis model of psychosocial predictors of problematic Internet use and cannabis use disorder in university students
title_sort discriminant analysis model of psychosocial predictors of problematic internet use and cannabis use disorder in university students
topic Research paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186557/
https://www.ncbi.nlm.nih.gov/pubmed/34141856
http://dx.doi.org/10.1016/j.abrep.2021.100354
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