Marijuana use trajectories during the post-college transition: health outcomes in young adulthood

Drug Alcohol Depend. 2012 Oct 1;125(3):267-75. doi: 10.1016/j.drugalcdep.2012.02.022. Epub 2012 Mar 30.

Abstract

Background: Despite the relatively high prevalence of marijuana use among college students, little information exists regarding health outcomes associated with different use patterns or trajectories.

Methods: Seven annual personal interviews (years 1-7) were administered to 1253 individuals, beginning in their first year in college. Growth mixture modeling was used to identify trajectories of marijuana, alcohol, and tobacco use frequency during years 1-6. Logistic regression was used to evaluate the relationship between marijuana use trajectories and several year 7 health outcomes, holding constant year 1 health, demographics, and alcohol and tobacco use trajectories.

Results: Six marijuana use trajectories were identified: non-use (71.5% (wt) of students), low-stable (10.0% (wt)), late-increase (4.7% (wt)), early-decline (4.3% (wt)), college-peak (5.4% (wt)), and chronic (4.2% (wt)). The six marijuana trajectory groups were not significantly different on year 1 health-related variables, but differed on all ten year 7 health outcomes tested, including functional impairment due to injury, illness, or emotional problems; general health rating; psychiatric symptoms; health-related quality of life; and service utilization for physical and mental health problems. Non-users fared significantly better than most of the marijuana-using trajectory groups on every outcome tested. Chronic and late-increase users had the worst health outcomes.

Conclusions: Marijuana use patterns change considerably during college and the post-college period. Marijuana-using students appear to be at risk for adverse health outcomes, especially if they increase or sustain a frequent pattern of use.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Alcohol Drinking / epidemiology
  • Bayes Theorem
  • Demography
  • Female
  • Health Services / statistics & numerical data
  • Health Status
  • Humans
  • Longitudinal Studies
  • Male
  • Marijuana Abuse / epidemiology*
  • Mental Disorders / complications
  • Mental Disorders / epidemiology
  • Mid-Atlantic Region / epidemiology
  • Psychiatric Status Rating Scales
  • Quality of Life
  • Regression Analysis
  • Socioeconomic Factors
  • Tobacco Use Disorder / epidemiology
  • Universities
  • Young Adult