Literature DB >> 28024188

Longitudinal patterns of marijuana use across ages 18-50 in a US national sample: A descriptive examination of predictors and health correlates of repeated measures latent class membership.

Yvonne M Terry-McElrath1, Patrick M O'Malley2, Lloyd D Johnston3, Bethany C Bray4, Megan E Patrick5, John E Schulenberg6.   

Abstract

BACKGROUND: This descriptive study identified latent classes of longitudinal marijuana use from ages 18 through 50 among a national sample; examined covariate associations with class membership regarding use/non-use, use intensity, and use duration; and described associations between identified latent classes and age 50 health outcomes.
METHODS: The study involved collection and primary analysis of data from 9831 individuals first surveyed as 12th graders in the national Monitoring the Future study and followed through modal age 50. Repeated measures latent class analysis was used to identify latent classes based on self-reported past 12-month marijuana use.
RESULTS: Seven latent classes of marijuana use from ages 18 to 50 were identified including Non-users (44%), two classes characterized by shorter-term use patterns (totaling 28%), and four classes characterized by longer-term moderate or heavy use (totaling 28%). Use reduction appeared particularly likely during early and late 20s. Gender, parental education, alcohol/cigarette use, religious commitment, and marital status differentiated use/non-use, use intensity, and use duration after high school. In non-causal models controlling for covariates, longer-term marijuana use classes (where use extended into the late 20s or beyond) were associated with significantly higher odds of negative health outcomes at age 50.
CONCLUSIONS: Approximately 28% of the national sample reported longer-term moderate/heavy marijuana use, which was associated with negative health outcomes at age 50. The early and late 20s may be especially important periods for marijuana use prevention and intervention efforts, which may be strengthened by recognition of characteristics that appear to have significant associations with persistent use.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Adults; Health; Marijuana; Repeated measures latent class analysis; Young adults

Mesh:

Year:  2016        PMID: 28024188      PMCID: PMC5263048          DOI: 10.1016/j.drugalcdep.2016.11.021

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  45 in total

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2.  Effect Size, Statistical Power and Sample Size Requirements for the Bootstrap Likelihood Ratio Test in Latent Class Analysis.

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Journal:  Struct Equ Modeling       Date:  2014-01-01       Impact factor: 6.125

3.  Persistent cannabis users show neuropsychological decline from childhood to midlife.

Authors:  Madeline H Meier; Avshalom Caspi; Antony Ambler; HonaLee Harrington; Renate Houts; Richard S E Keefe; Kay McDonald; Aimee Ward; Richie Poulton; Terrie E Moffitt
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-27       Impact factor: 11.205

4.  Neuropsychological deficits associated with cannabis use in young adults.

Authors:  Jon E Grant; Samuel R Chamberlain; Liana Schreiber; Brian L Odlaug
Journal:  Drug Alcohol Depend       Date:  2011-09-14       Impact factor: 4.492

5.  Cannabis use and cognitive function: 8-year trajectory in a young adult cohort.

Authors:  Robert J Tait; Andrew Mackinnon; Helen Christensen
Journal:  Addiction       Date:  2011-10-17       Impact factor: 6.526

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

Authors:  Kimberly M Caldeira; Kevin E O'Grady; Kathryn B Vincent; Amelia M Arria
Journal:  Drug Alcohol Depend       Date:  2012-03-30       Impact factor: 4.492

7.  Testing a developmental cascade model of adolescent substance use trajectories and young adult adjustment.

Authors:  Sarah D Lynne-Landsman; Catherine P Bradshaw; Nicholas S Ialongo
Journal:  Dev Psychopathol       Date:  2010-11

8.  Longitudinal trajectories of marijuana use from adolescence to young adulthood.

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9.  Alcohol, marijuana, and tobacco use trajectories from age 12 to 24 years: demographic correlates and young adult substance use problems.

Authors:  Sarah E Nelson; Mark J Van Ryzin; Thomas J Dishion
Journal:  Dev Psychopathol       Date:  2014-07-14

10.  Association Between Lifetime Marijuana Use and Cognitive Function in Middle Age: The Coronary Artery Risk Development in Young Adults (CARDIA) Study.

Authors:  Reto Auer; Eric Vittinghoff; Kristine Yaffe; Arnaud Künzi; Stefan G Kertesz; Deborah A Levine; Emiliano Albanese; Rachel A Whitmer; David R Jacobs; Stephen Sidney; M Maria Glymour; Mark J Pletcher
Journal:  JAMA Intern Med       Date:  2016-03       Impact factor: 44.409

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  29 in total

1.  Substance use through adolescence into early adulthood after childhood-diagnosed ADHD: findings from the MTA longitudinal study.

Authors:  Brooke S G Molina; Andrea L Howard; James M Swanson; Annamarie Stehli; John T Mitchell; Traci M Kennedy; Jeffery N Epstein; L Eugene Arnold; Lily Hechtman; Benedetto Vitiello; Betsy Hoza
Journal:  J Child Psychol Psychiatry       Date:  2018-01-08       Impact factor: 8.982

2.  The growing transition from lifetime marijuana use to frequent use among 12th grade students: U.S. National data from 1976 to 2019.

Authors:  Yvonne M Terry-McElrath; Patrick M O'Malley; Lloyd D Johnston
Journal:  Drug Alcohol Depend       Date:  2020-05-18       Impact factor: 4.492

3.  Not just heroin: Extensive polysubstance use among US high school seniors who currently use heroin.

Authors:  Joseph J Palamar; Austin Le; Pedro Mateu-Gelabert
Journal:  Drug Alcohol Depend       Date:  2018-06-04       Impact factor: 4.492

4.  Using Existing Data to Advance Knowledge About Adolescent and Emerging Adult Marijuana Use in the Context of Changes in Marijuana Policies.

Authors:  Katarina Guttmannova; Abenaa Acheampong Jones; Julie K Johnson; Sabrina Oesterle; Renee M Johnson; Silvia S Martins
Journal:  Prev Sci       Date:  2019-02

5.  Age, period and cohort effects in frequent cannabis use among US students: 1991-2018.

Authors:  Ava D Hamilton; Joy Bohyun Jang; Megan E Patrick; John E Schulenberg; Katherine M Keyes
Journal:  Addiction       Date:  2019-06-26       Impact factor: 6.526

6.  Associations Between Cannabis Use and Cardiometabolic Risk Factors: A Longitudinal Study of Men.

Authors:  Madeline H Meier; Dustin Pardini; Jordan Beardslee; Karen A Matthews
Journal:  Psychosom Med       Date:  2019-04       Impact factor: 4.312

7.  The relationships between chronic pain and changes in health with cannabis consumption patterns.

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Journal:  Int J Drug Policy       Date:  2020-02

8.  Young adult longitudinal patterns of marijuana use among US National samples of 12th grade frequent marijuana users: a repeated-measures latent class analysis.

Authors:  Yvonne M Terry-McElrath; Patrick M O'Malley; Lloyd D Johnston; John E Schulenberg
Journal:  Addiction       Date:  2019-01-27       Impact factor: 6.526

9.  A developmental-based motivational intervention to reduce alcohol and marijuana use among non-treatment-seeking young adults: a randomized controlled trial.

Authors:  Michael D Stein; Celeste M Caviness; Emily F Morse; Kristin R Grimone; Daniel Audet; Debra S Herman; Ethan Moitra; Bradley J Anderson
Journal:  Addiction       Date:  2017-10-16       Impact factor: 6.526

10.  Anxiety sensitivity components in relation to alcohol and cannabis use, motives, and problems in treatment-seeking cigarette smokers.

Authors:  Casey R Guillot; Heidemarie Blumenthal; Michael J Zvolensky; Norman B Schmidt
Journal:  Addict Behav       Date:  2018-03-08       Impact factor: 3.913

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