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

Abstract

Highlights A discriminant analysis model of psychosocial factors was devised to differentiate between PIU and CUD. Compared to the control group, the PIU group had higher scores on motor, attentional and non-planning impulsiveness; tolerance of frustration, emotional pain, and ambiguity; negative and positive metacognitions, need to control thoughts, and cognitive confidence; and RNT. Compared to the control group, the CUD group had lower scores on family and significant other support; and had higher scores on motor and non-planning impulsiveness; tolerance of frustration, emotional pain, and ambiguity; suppression; need to control thoughts; and RNT. Social support, tolerance of physical discomfort, reappraisal, and cognitive confidence play a significant role in discriminating PIU and CUD. 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 based on the predictor variables.

Emotion regulation in substance use disorders: a systematic review and meta‐analysis

“…After review, no additional studies were found using the full DERS that met our criteria. Ten additional studies were found using different measures, but only eight met all other inclusion criteria: five studies using the ERQ [ 30 , 31 , 55 , 66 , 67 ] and three using shortened versions of the DERS [ 29 , 32 , 68 ]. We identified one study using the emotion regulation interview (ERI) [ 69 ] and another study using the emotion regulation skills questionnaire (ERSQ) [ 70 ]; these studies were not included in our analysis.…”

Effect of an Educational Program on Stakeholders' Awareness About Risks of Cannabis Use in Sudan: A Quasi-Experimental Study

“…In this study, most participants were males, middle age, and single. Similarly, another study conducted to explore psychosocial predictors of addictive behaviors between Internet use and Cannabis use found that most participants were males aged over 20 [28]. Evidence denotes that excessive heavy Cannabis use among youth and middle-aged individuals is associated with several adverse health effects on physical and mental faculties [29].…”

Psychometric properties and measurement invariance across gender of the Compulsive Online Shopping Scale (COSS) among Iranians

“…The term “behavioral addictions”, which refers to the phenomena of non-chemical addictions ( Kardefelt-Winther et al, 2017 ), has three primary characteristics: Exposure to environmental stimuli for specific activities provoke psychophysiological reactions. ; engaging in the activity despite its negative effects; and the inability to cease the activity despite desiring to do so ( Akbari et al, 2021 ). Behavioral addictions share similarities with substance addictions in terms of symptoms and consequences, but in the former, there are no physical symptoms and substance use involved ( Alavi et al, 2012 ).…”

“…Behavioral addictions share similarities with substance addictions in terms of symptoms and consequences, but in the former, there are no physical symptoms and substance use involved ( Alavi et al, 2012 ). Various forms of behavioral addictions have been identified, including Gambling Disorder, problematic gaming, and problematic social media use ( Griffiths, 2005 , Akbari et al, 2021 ). Furthermore, it has been argued that compulsive shopping could be considered a form of behavioral addiction ( Griffiths, 2005 ).…”