title: Predictors of cessation of marijuana use: an event history analysis.
abstract: Event history analysis was applied to monthly life and drug histories of a representative community sample of 706 marijuana users, followed from ages 15-16 to 34-35, to investigate factors associated with cessation of marijuana use from adolescence to adulthood. In addition to age and gender, the most important determinants of cessation are the phenomenology of marijuana use, social role participation, depressive symptoms and deviance. Frequent users, those who started using early and those who use illicit drugs other than marijuana are more likely to continue their marijuana use. Using marijuana for social reasons accelerates cessation, using to change one's mood reduces cessation. Becoming pregnant and a parent is the most important social role leading to marijuana cessation for women. There is also a very important experimental effect of the interview itself on the reported timing of a cessation. The effect of a social context favorable to marijuana use appears to reflect selection rather than social influence.
authors.affiliation: Columbia University, New York, NY 10032, USA. chenke@umdnj.edu
authors.forename: K
authors.initials: K
authors.lastname: Chen
authors.forename: D B
authors.initials: DB
authors.lastname: Kandel
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D017668:Age of Onset; D000818:Animals; D016009:Chi-Square Distribution; D005260:Female; D006306:Health Surveys; D006801:Humans; D016013:Likelihood Functions; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D008385:Marijuana Smoking / Q000453:epidemiology* / Q000639:trends; D009042:Motivation; D015999:Multivariate Analysis; D009518:New York / Q000453:epidemiology; D016017:Odds Ratio; D012380:Role; D012648:Self Care / Q000706:statistics & numerical data*; D012737:Sex Factors; D012917:Social Adjustment; D012925:Social Conformity; D018454:Spouses / Q000706:statistics & numerical data; D019966:Substance-Related Disorders / Q000453:epidemiology; D016019:Survival Analysis