Volume 109, Issue 2 pp. 284-294
RESEARCH REPORT

Towards a comprehensive developmental model of cannabis use disorders

Carlos Blanco

Corresponding Author

Carlos Blanco

Department of Psychiatry, Columbia University, New York State Psychiatric Institute, New York, NY, USA

Correspondence to: Carlos Blanco, Department of Psychiatry, College of Physicians and Surgeons of Columbia University, 1051 Riverside Drive, unit 69, New York, NY 10032, USA. E-mail: [email protected]Search for more papers by this author
Claudia Rafful

Claudia Rafful

Department of Psychiatry, Columbia University, New York State Psychiatric Institute, New York, NY, USA

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Melanie M. Wall

Melanie M. Wall

Department of Psychiatry, Columbia University, New York State Psychiatric Institute, New York, NY, USA

Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA

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Ty A. Ridenour

Ty A. Ridenour

Department of Pharmaceutical Sciences, Center for Education and Drug Abuse Research, University of Pittsburgh, Pittsburgh, PA, USA

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Shuai Wang

Shuai Wang

Department of Psychiatry, Columbia University, New York State Psychiatric Institute, New York, NY, USA

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Kenneth S. Kendler

Kenneth S. Kendler

Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA

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First published: 17 October 2013
Citations: 57

Abstract

Aims

To develop a comprehensive risk-factor model of cannabis use disorders (CUD) based on Kendler's development model for major depression.

Design

Risk factors were divided into five developmental tiers based on Kendler's model of depression (childhood, early adolescence, late adolescence, adulthood, past year). Hierarchical logistic regression models were used to examine the independent contribution of each risk factor. Separate models were built to predict the lifetime risk of cannabis use and the risk of CUD among those with a history of lifetime risk of cannabis use.

Setting

Data were drawn from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) in the United States.

Participants

Participants consisted of wave 2 of the NESARC (n = 34 653).

Measurements

Odds ratios (OR), Adjusted OR (AOR) and confidence intervals (95% CI) were used to determine the risk factors in each tier and with multiple models.

Findings

After mutually adjusting for the effect of other risk factors, lifetime history of drug use disorder (AOR = 4.78, 95% CI = 1.53–14.91), past year alcohol use disorders (AOR = 6.55, 95% CI = 2.54–16.89) and independent (AOR = 1.57, 95% CI = 1.15–2.14) and dependent (AOR = 1.25, 95% CI = 1.01–1.55) stressful life events predicted lifetime cannabis use. Impulsivity (AOR = 2.18, 95% CI = 1.34–3.53), past year alcohol use disorders (AOR = 4.09, 95% CI = 2.29–7.31), greater number of Axis I disorders (AOR = 1.56, 95% CI = 1.01–2.40) and social deviance (AOR = 1.19, 95% CI = 1.08–1.32) independently increased the risk of the development of CUD, whereas religious service attendance (AOR = 0.50, 95% CI = 0.30–0.85) decreased this risk. In both models, the effect of earlier development tiers was mediated by more proximal ones. There were few gender differences in both models.

Conclusions

A modification of Kendler's risk factor model for major depression which stratifies risk factors into five groups (childhood, early adolescence, late adolescence, adulthood, past year) provides a useful foundation for a comprehensive developmental model of cannabis use and cannabis use disorders.

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