Marijuana use trajectories during the post-college transition: Health outcomes in young adulthood
Open accessAbstract
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.
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One study of 1232 first-year college students established 6 cannabis use trajectories varying from nonuse, to late-increase use, to college-peak use, to chronic use.
“For example, 1 study of 1232 first-year college students established 6 cannabis use trajectories varying from nonuse, to late-increase use, to collegepeak use, to chronic use.35”
From Association of Cannabis Use in Adolescence and Risk of Depression, Anxiety, and Suicidality in Young Adulthood (2019) · cites this paper as [35]
Results §3.1 identifies six marijuana-use trajectories, including Non-Use, Late-Increase, College-Peak, and Chronic. Methods §2.2 reports 1,253 first-year college students, not 1,232; the trajectory-group counts in Results §3.1 also sum to 1,253. (LLM, conf=0.91)
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Drug use patterns and continuous enrollment in college: results from a longitudinal study
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Marijuana use trajectories during college predict health outcomes nine years post-matriculation.
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- Authors
- Caldeira, K. M., O’Grady, K. E., Vincent, K. B., & Arria, A. M.
- Affiliations
- University of Maryland, College Park (US)
- Treatment Research Institute (US)
- Corresponding author
- Arria, Amelia M.
- Venue
- Drug and Alcohol Dependence
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 125
- Issue
- 3
- Pages
- 267-275
- ISSN
- 0376-8716 (ISSN-L)
- PMC
- PMC3390463
- OpenAlex
- W2042464721
- Cited by
- 91
- References
- 3
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 4 · 2022: 7 · 2021: 7 · 2020: 5 · 2019: 4 · 2018: 14 · 2017: 10 · 2016: 11 · 2015: 11 · 2014: 9 · 2013: 3
- FWCI
- 5.41
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Drug and Alcohol Dependence (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Drug Abuse (R01-DA14845, R56DA014845, R01DA014845, P50DA027841)
- Topics
- Health Sciences › Medicine › Pharmacology › Cannabis and Cannabinoid Research
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
- Keywords
- cannabis use, university students, early adulthood, health outcomes, chronic marijuana use, alcohol consumption, tobacco use, psychiatric symptoms, health-related quality of life, functional disability, service utilization
- MeSH terms
- Adolescent, Adult, Age Factors, Alcohol Drinking, Bayes Theorem, Mental Disorders, Marijuana Abuse, Demography, Female, Health Services, Health Status, Humans, Longitudinal Studies, Male, Mid-Atlantic Region, Psychiatric Status Rating Scales, Quality of Life, Regression Analysis, Socioeconomic Factors, Tobacco Use Disorder, Universities, Young Adult
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