Article de Périodique
Characteristics and predictors of health problems from use among high-frequency cannabis users in a Canadian university student population (2012)
Auteur(s) :
FISCHER, B. ;
DAWE, M. ;
McGUIRE, F. ;
SHUPER, P. A. ;
JONES, W. ;
RUDZINSKI, K. ;
REHM, J.
Année
2012
Page(s) :
49-58
Langue(s) :
Anglais
Domaine :
Drogues illicites / Illicit drugs
Discipline :
EPI (Epidémiologie / Epidemiology)
Thésaurus géographique
CANADA
Thésaurus mots-clés
JEUNE
;
JEUNE ADULTE
;
MILIEU ETUDIANT
;
FACTEUR PREDICTIF
;
CANNABIS
;
TYPE D'USAGE
;
FACTEUR DE RISQUE
;
ENQUETE
;
EPIDEMIOLOGIE DESCRIPTIVE
Résumé :
Aims: Assess key cannabis use, risk and outcome characteristics among high-frequency cannabis users within a university student sample in Toronto, Canada.
Methods: N = 134 active universities students (ages of 18-28) using cannabis at least three times per week were recruited by mass advertisement, telephone-screened and anonymously assessed by an interviewer-administered questionnaire. Relevant descriptive statistics are presented; subsequent univariate and multivariate logistic regression analyses (MLRA) identified independent predictors of experiencing physical or mental health problems. Findings: The majority of respondents used cannabis >5 years, almost daily and >1 times/day, socially and medically on occasion. In past 30 days, 79% used cannabis by deep inhalation, 38% drove a car after use, 45% had difficulty controlling or limiting use and 52% experienced negative mental/physical health effects, with few respondents reporting any past treatment. The MLRA identified 'difficulty controlling or limiting use' (OR = 3.40, 95% CI = 1.58-7.30), 'non-white ethnicity' (OR = 2.78, 95% CI = 1.13-6.83), and 'living with others' (OR = 2.37, 95% CI = 1.02-5.55) as independent predictors (p < 0.01) of negative health problems.
Conclusions: Our sample was characterized by several use-related risks and problems, which may result in long-term burden of disease. University environment may offer suitable settings for targeted interventions. Determinants of future cannabis use and problems should be assessed in this population.
Methods: N = 134 active universities students (ages of 18-28) using cannabis at least three times per week were recruited by mass advertisement, telephone-screened and anonymously assessed by an interviewer-administered questionnaire. Relevant descriptive statistics are presented; subsequent univariate and multivariate logistic regression analyses (MLRA) identified independent predictors of experiencing physical or mental health problems. Findings: The majority of respondents used cannabis >5 years, almost daily and >1 times/day, socially and medically on occasion. In past 30 days, 79% used cannabis by deep inhalation, 38% drove a car after use, 45% had difficulty controlling or limiting use and 52% experienced negative mental/physical health effects, with few respondents reporting any past treatment. The MLRA identified 'difficulty controlling or limiting use' (OR = 3.40, 95% CI = 1.58-7.30), 'non-white ethnicity' (OR = 2.78, 95% CI = 1.13-6.83), and 'living with others' (OR = 2.37, 95% CI = 1.02-5.55) as independent predictors (p < 0.01) of negative health problems.
Conclusions: Our sample was characterized by several use-related risks and problems, which may result in long-term burden of disease. University environment may offer suitable settings for targeted interventions. Determinants of future cannabis use and problems should be assessed in this population.
Affiliation :
Centre for Applied Research in Mental Health and Addictions, Faculty of Health Sciences, Simon Fraser University, Vancouver, Canada
Historique