Presentation on theme: "Claudia van der Heijde (Msc), Peter Vonk (MD) & Frans Meijman (MD, PhD) Student Health Services, University of Amsterdam Department of Research, development."— Presentation transcript:
Claudia van der Heijde (Msc), Peter Vonk (MD) & Frans Meijman (MD, PhD) Student Health Services, University of Amsterdam Department of Research, development and prevention University of Amsterdam – the Netherlands 3rd European Symposium on Substance Use and Abuse among University Students 7th - 8th June 2012, University of Bradford, UK
significant relationships between substance use and dependency and academic performance: different findings, sometimes contradictory, depending on group and not withstanding when adding control variables Gliksman et al (1997) Gill (2002) De Berard, (2004) Ter Bogt (2009)
Is there a relationship between substance use, and study problems in students of tertiary education? (smoking, alcohol, drugs) Can we use substance use as a indicator for study problems in students of tertiary education? (does the relationship remains when we control for other factors?) Are certain risk factors (gender, living situation) in line with former research findings?
Measures CDS-5, AUDIT, DAST-10 Measures academic grade, self-rated and other-rated study pace, chance of drop out % Hierarchical regressions (including control factors, age, gender, living situation, high school grade)
3982 respondents male –female proportion was 30%-70% average age 22.8 years (SD=4.28) study phase (32% Prop ; 58% Bach; 10% Mast) Living situation (46% parents or family; 22% peers; 18% alone; 14% partner) Average academic grade: 6.9 (SD=0.8) Average self-rated study pace: 6.9 (SD=1.8) Average other-rated study pace: 7.3 (SD=1.6) Average chance of quitting: 8.6% (SD=16.3)
Academic grade F(7, 2440)=41.3; p=.00 Self-rated study pace F(7, 2440)=14.6; p=.000 Other-rated study pace F(7, 2440)=19.3; p=.000 Academic grade F(7, 2440)=3.1; p=.003
Smoking can be used as an indicator for student counsellors, teachers and other professionals in the close vicinity of the student Living situation and gender can be included as extra risk factors
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