The Effects of Social Support and Gratitude Disposition on Interpersonal Competence of University Students

2018 ◽  
Vol 9 (3) ◽  
pp. 799-814
Author(s):  
Hee Jin Kim ◽  
Eunjee Joo
Keyword(s):  
Social Support ◽  
University Students ◽  
Interpersonal Competence

scholarly journals Socio-Emotional Variables Linked to the Consumption of Drugs amongst University Students of Social Sciences: A Pilot Study

2021 ◽  
Vol 18 (9) ◽  
pp. 4502
Author(s):  
José Luis Rodríguez-Sáez ◽  
Luis J. Martín-Antón ◽  
Alfonso Salgado-Ruiz ◽  
Miguel Ángel Carbonero
Keyword(s):  
Social Support ◽  
Emotional Intelligence ◽  
Academic Performance ◽  
University Students ◽  
Regression Model ◽  
Household Survey ◽  
Predictive Variables ◽  
Cannabis Consumption ◽  
And Gender ◽  
Mood Scale

This descriptive and transversal study, carried out on an intentional sample of 211 subjects who were split in terms of their consumption of psychoactive substances over the last month and who were aged between 18 and 28 (M = 21.36, and SD = 1.90), aimed to explore the emotional intelligence, perceived socio-family support and academic performance of university students vis-à-vis their consumption of drugs and to examine the link between them. The goal was to define university student consumer profile through a regression model using the multidimensional Perceived Social Support Scale (EMAS) and the Trait Meta Mood Scale-24 (TMMS-24) as instruments, together with academic performance and gender. The results report alcohol, tobacco, and cannabis consumption rates that are above the levels indicated by the Spanish household survey on alcohol and drugs in Spain (EDADES 2019) for the 15–34-year-old age range in Castilla y León. A certain link was observed between the consumption of substances and academic performance, although no differences were seen in academic performance in terms of consumer type. There was also no clear link observed between emotional intelligence and academic performance or between social support and academic performance. The predictive contribution of the variables included in the regression model was low (9%), which would advocate completing the model with other predictive variables until more appropriate predictability conditions can be found.

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