Volume 116, Issue 3 pp. 560-570
Research Report

Cannabis use disorder trajectories and their prospective predictors in a large population-based sample of young Swiss men

Simon Marmet

Corresponding Author

Simon Marmet

Addiction Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland

Correspondence to: Simon Marmet, Lausanne University Hospital/CHUV, Addiction Medicine, Department of Psychiatry, Rue du Bugnon 23, CH-1011 Lausanne, Switzerland. E-mail: [email protected]Search for more papers by this author
Joseph Studer

Joseph Studer

Addiction Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland

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Matthias Wicki

Matthias Wicki

Addiction Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland

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Gerhard Gmel

Gerhard Gmel

Addiction Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland

Addiction Switzerland, Lausanne, Switzerland

Centre for Addiction and Mental Health, Toronto, ON, Canada

University of the West of England, Frenchay Campus, Bristol, UK

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First published: 04 July 2020
Citations: 9

Abstract

Background and Aims

Cannabis use disorder (CUD) is frequent in adolescence and often goes into remission towards adulthood. This study aimed to estimate trajectories of CUD severity (CUDS) in Swiss men aged from 20 to 25 years and to identify prospective predictors of these trajectories.

Design

Latent class growth analysis of self-reported CUDS in a cohort study with three data collection waves.

Setting

A general population sample of young Swiss men.

Participants

A total of 5987 Swiss men assessed longitudinally at the mean ages of 20, 21.5 and 25 years.

Measurements

Latent CUDS in the last 12 months was measured at each wave with the Cannabis Use Disorders Identification Test–Revised (CUDIT-R). Predictors of CUDS trajectories, measured at age 20, were from six domains: factors related to cannabis use, family, peers, other substance use, mental health and personality.

Findings

We distinguished four CUDS trajectories: stable–low (88.2%), decreasing (5.2%), stable–high (2.6%) and increasing (4.0%). Predictors were generally associated with higher odds of membership in the decreasing and stable–high trajectory (versus the stable–low), and to a lesser degree with higher odds of membership in the increasing trajectory. Bivariate predictors of persistent high CUDS (stable–high versus decreasing trajectory) were major depression severity [odds ratio (OR) = 1.19, 95% confidence interval (CI) = 1.01, 1.40], attention deficit hyperactivity disorder severity (OR = 1.25, 95% CI = 1.04, 1.51), antisocial personality disorder severity (OR = 1.18, 95 % CI = 1.04, 1.34), relationship with parents (OR = 0.74, 95% CI = 0.63, 0.88), number of friends with drug problems (OR = 1.33, 95% CI = 1.11, 1.60) and the personality dimensions neuroticism–anxiety (OR = 1.35, 95% CI = 1.11, 1.65) and sociability (OR = 0.78, 95% CI = 0.62, 0.97).

Conclusions

Factors associated with persistent cannabis use disorder in young Swiss men include cannabis use, cannabis use disorder severity, mental health problem severity, relationship with parents (before the age of 18), peers with drug problems and the personality dimensions neuroticism–anxiety and sociability at or before age 20. Effect sizes may be small, and predictors are mainly associated with persistence via higher severity at age 20 years.

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