INTRODUCTION AND AIMS: To investigate the predictors of both initiation of cannabis use and transition to cannabis use disorder (CUD) in a nationally representative sample using discrete-time survival analyses. DESIGN AND METHODS: Data from a nationally representative sample of 6935 Australian adults. Retrospective data on age of first cannabis use and onset of CUD were used to construct pseudo-longitudinal datasets and survival models used to evaluate factors associated with age of first use and time from first use to onset of CUD. RESULTS: The oldest cohort (born 1942-1951) had lower cannabis use than younger cohorts, with first use also occurring at an older age. Multivariable discrete-time survival models showed other substance use, tobacco and alcohol use at very young ages, and mental disorders were associated with increased risk of cannabis use. There were 7.5% of those <65 years old at interview who had a lifetime CUD; mean time from first use to the onset of CUD was 3.3 years, with 90% of cases within eight years. Younger age of initiation and other substance use were strong predictors of the transition from use to CUD. Women with depression were more likely to develop a CUD; social phobia and panic disorder were also associated with transition from cannabis use to CUD. DISCUSSION AND CONCLUSIONS: Patterns of cannabis use differ across birth cohorts. There are multiple factors associated with use and transition to CUD, with other substance use a strong predictor. Mental disorders also predict initiation and progression to CUD.
INTRODUCTION AND AIMS: To investigate the predictors of both initiation of cannabis use and transition to cannabis use disorder (CUD) in a nationally representative sample using discrete-time survival analyses. DESIGN AND METHODS: Data from a nationally representative sample of 6935 Australian adults. Retrospective data on age of first cannabis use and onset of CUD were used to construct pseudo-longitudinal datasets and survival models used to evaluate factors associated with age of first use and time from first use to onset of CUD. RESULTS: The oldest cohort (born 1942-1951) had lower cannabis use than younger cohorts, with first use also occurring at an older age. Multivariable discrete-time survival models showed other substance use, tobacco and alcohol use at very young ages, and mental disorders were associated with increased risk of cannabis use. There were 7.5% of those <65 years old at interview who had a lifetime CUD; mean time from first use to the onset of CUD was 3.3 years, with 90% of cases within eight years. Younger age of initiation and other substance use were strong predictors of the transition from use to CUD. Women with depression were more likely to develop a CUD; social phobia and panic disorder were also associated with transition from cannabis use to CUD. DISCUSSION AND CONCLUSIONS: Patterns of cannabis use differ across birth cohorts. There are multiple factors associated with use and transition to CUD, with other substance use a strong predictor. Mental disorders also predict initiation and progression to CUD.
Authors: Jason P Connor; Daniel Stjepanović; Bernard Le Foll; Eva Hoch; Alan J Budney; Wayne D Hall Journal: Nat Rev Dis Primers Date: 2021-02-25 Impact factor: 52.329
Authors: Louisa Degenhardt; Chrianna Bharat; Meyer D Glantz; Nancy A Sampson; Ali Al-Hamzawi; Jordi Alonso; Laura H Andrade; Brendan Bunting; Alfredo Cia; Giovanni de Girolamo; Peter De Jonge; Koen Demyttenaere; Oye Gureje; Josep Maria Haro; Meredith G Harris; Yanling He; Hristo Hinkov; Aimee Nasser Karam; Elie G Karam; Andrzej Kiejna; Viviane Kovess-Masfety; Victor Lasebikan; Sing Lee; Daphna Levinson; Maria Elena Medina-Mora; Zeina Mneimneh; Fernando Navarro-Mateu; Marina Piazza; José Posada-Villa; Kate Scott; Dan J Stein; Hisateru Tachimori; Nathan Tintle; Yolanda Torres; Ronald C Kessler Journal: JAMA Psychiatry Date: 2019-07-01 Impact factor: 21.596
Authors: Rosa M Crum; Kerry M Green; Elizabeth A Stuart; Lareina N La Flair; Marc Kealhofer; Andrea S Young; Noa Krawczyk; Kayla N Tormohlen; Carla L Storr; Anika A H Alvanzo; Ramin Mojtabai; Lauren R Pacek; Bernadette A Cullen; Beth A Reboussin Journal: Drug Alcohol Depend Date: 2018-04-10 Impact factor: 4.492
Authors: Camelia C Minică; Karin J H Verweij; Peter J van der Most; Hamdi Mbarek; Manon Bernard; Kristel R van Eijk; Penelope A Lind; Meng Zhen Liu; Dominique F Maciejewski; Teemu Palviainen; Cristina Sánchez-Mora; Richard Sherva; Michelle Taylor; Raymond K Walters; Abdel Abdellaoui; Timothy B Bigdeli; Susan J T Branje; Sandra A Brown; Miguel Casas; Robin P Corley; George Davey-Smith; Gareth E Davies; Erik A Ehli; Lindsay Farrer; Iryna O Fedko; Iris Garcia-Martínez; Scott D Gordon; Catharina A Hartman; Andrew C Heath; Ian B Hickie; Matthew Hickman; Christian J Hopfer; Jouke Jan Hottenga; René S Kahn; Jaakko Kaprio; Tellervo Korhonen; Henry R Kranzler; Ken Krauter; Pol A C van Lier; Pamela A F Madden; Sarah E Medland; Michael C Neale; Wim H J Meeus; Grant W Montgomery; Ilja M Nolte; Albertine J Oldehinkel; Zdenka Pausova; Josep A Ramos-Quiroga; Vanesa Richarte; Richard J Rose; Jean Shin; Michael C Stallings; Tamara L Wall; Jennifer J Ware; Margaret J Wright; Hongyu Zhao; Hans M Koot; Tomas Paus; John K Hewitt; Marta Ribasés; Anu Loukola; Marco P Boks; Harold Snieder; Marcus R Munafò; Joel Gelernter; Dorret I Boomsma; Nicholas G Martin; Nathan A Gillespie; Jacqueline M Vink; Eske M Derks Journal: Addiction Date: 2018-08-19 Impact factor: 6.526