1 / 15

Is substance ( ab )use in students of tertiary education an indicator of study problems?

Is substance ( ab )use in students of tertiary education an indicator of study problems?. Claudia van der Heijde (Msc), Peter Vonk (MD) & Frans Meijman (MD, PhD) Student Health Services, University of Amsterdam Department of Research, development and prevention

jerod
Download Presentation

Is substance ( ab )use in students of tertiary education an indicator of study problems?

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Is substance (ab)use in students of tertiary education an indicator of study problems? 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

  2. Theory 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)

  3. Research questions • 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?

  4. Method 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)

  5. Sample :Traffic lights(januari-july 2011) • 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)

  6. Hierarchicalregressions • 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

  7. Academic grade

  8. Self-ratedstudy pace

  9. Other-ratedstudy pace

  10. Chance of drop out %

  11. Gender

  12. Living situation

  13. Conclusions 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

  14. Thanksforyour attention! c.m.vanderheijde@uva.nl

More Related