Literature DB >> 16968348

Marijuana use and depression among adults: Testing for causal associations.

Valerie S Harder1, Andrew R Morral, Jeremy Arkes.   

Abstract

AIM: To determine whether marijuana use predicts later development of depression after accounting for differences between users and non-users of marijuana.
DESIGN: An ongoing longitudinal survey of 12 686 men and women beginning in 1979.
SETTING: The National Longitudinal Survey of Youth of 1979, a nationally representative sample from the United States. PARTICIPANTS: A total of 8759 adults (age range 29-37 years) interviewed in 1994 had complete data on past-year marijuana use and current depression. MEASUREMENTS: Self-reported past-year marijuana use was tested as an independent predictor of later adult depression using the Center for Epidemiologic Studies-Depression questionnaire. Individual's propensity to use marijuana was calculated using over 50 baseline covariates.
FINDINGS: Before adjusting for group differences, the odds of current depression among past-year marijuana users is 1.4 times higher (95% CI: 1.1, 1.9) than the odds of depression among the non-using comparison group. After adjustment, the odds of current depression among past-year marijuana users is only 1.1 times higher than the comparison group (95% CI: 0.8, 1.7). Similarly, adjustment eliminates significant associations between marijuana use and depression in four additional analyses: heavy marijuana use as the risk factor, stratifying by either gender or age, and using a 4-year lag-time between marijuana use and depression.
CONCLUSIONS: After adjusting for differences in baseline risk factors of marijuana use and depression, past-year marijuana use does not significantly predict later development of depression. These findings are discussed in terms of their relevance for understanding possible causal effects of marijuana use on depression.

Entities:  

Mesh:

Year:  2006        PMID: 16968348     DOI: 10.1111/j.1360-0443.2006.01545.x

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  26 in total

1.  Early cannabis use and estimated risk of later onset of depression spells: Epidemiologic evidence from the population-based World Health Organization World Mental Health Survey Initiative.

Authors:  Ron de Graaf; Mirjana Radovanovic; Margriet van Laar; Brian Fairman; Louisa Degenhardt; Sergio Aguilar-Gaxiola; Ronny Bruffaerts; Giovanni de Girolamo; John Fayyad; Oye Gureje; Josep Maria Haro; Yueqin Huang; Stanislav Kostychenko; Jean-Pierre Lépine; Herbert Matschinger; Maria Elena Medina Mora; Yehuda Neumark; Johan Ormel; Jose Posada-Villa; Dan J Stein; Hisateru Tachimori; J Elisabeth Wells; James C Anthony
Journal:  Am J Epidemiol       Date:  2010-06-09       Impact factor: 4.897

Review 2.  State of the art treatments for cannabis dependence.

Authors:  Itai Danovitch; David A Gorelick
Journal:  Psychiatr Clin North Am       Date:  2012-04-10

3.  A brief marijuana intervention for non-treatment-seeking young adult women.

Authors:  Michael D Stein; Claire E Hagerty; Debra S Herman; Maureen G Phipps; Bradley J Anderson
Journal:  J Subst Abuse Treat       Date:  2010-12-24

4.  Using full matching to estimate causal effects in nonexperimental studies: examining the relationship between adolescent marijuana use and adult outcomes.

Authors:  Elizabeth A Stuart; Kerry M Green
Journal:  Dev Psychol       Date:  2008-03

5.  Improving propensity score estimators' robustness to model misspecification using super learner.

Authors:  Romain Pirracchio; Maya L Petersen; Mark van der Laan
Journal:  Am J Epidemiol       Date:  2014-12-16       Impact factor: 4.897

6.  Cannabis and Cannabinoids in Mood and Anxiety Disorders: Impact on Illness Onset and Course, and Assessment of Therapeutic Potential.

Authors:  Sabrina L Botsford; Sharon Yang; Tony P George
Journal:  Am J Addict       Date:  2019-10-02

7.  Correlates and Potential Confounds of Cannabis Withdrawal Among High-Risk Adolescents.

Authors:  Jarrod M Ellingson; L Cinnamon Bidwell; Christian J Hopfer; Kent E Hutchison; Angela D Bryan
Journal:  J Stud Alcohol Drugs       Date:  2019-09       Impact factor: 2.582

8.  Improving propensity score weighting using machine learning.

Authors:  Brian K Lee; Justin Lessler; Elizabeth A Stuart
Journal:  Stat Med       Date:  2010-02-10       Impact factor: 2.373

9.  Adolescent cannabis problems and young adult depression: male-female stratified propensity score analyses.

Authors:  Valerie S Harder; Elizabeth A Stuart; James C Anthony
Journal:  Am J Epidemiol       Date:  2008-08-06       Impact factor: 4.897

10.  Modifiable risk factors predicting major depressive disorder at four year follow-up: a decision tree approach.

Authors:  Philip J Batterham; Helen Christensen; Andrew J Mackinnon
Journal:  BMC Psychiatry       Date:  2009-11-22       Impact factor: 3.630

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