Show simple item record

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

dc.contributor.authorHamilton, Ava D.
dc.contributor.authorJang, Joy Bohyun
dc.contributor.authorPatrick, Megan E.
dc.contributor.authorSchulenberg, John E.
dc.contributor.authorKeyes, Katherine M.
dc.date.accessioned2019-09-30T15:31:35Z
dc.date.availableWITHHELD_14_MONTHS
dc.date.available2019-09-30T15:31:35Z
dc.date.issued2019-10
dc.identifier.citationHamilton, Ava D.; Jang, Joy Bohyun; Patrick, Megan E.; Schulenberg, John E.; Keyes, Katherine M. (2019). "Age, period and cohort effects in frequent cannabis use among US students: 1991–2018." Addiction 114(10): 1763-1772.
dc.identifier.issn0965-2140
dc.identifier.issn1360-0443
dc.identifier.urihttps://hdl.handle.net/2027.42/151314
dc.description.abstractBackground and AimsAs the legal status of cannabis changes across the United States and modes of administration expand, it is important to examine the potential impact on adolescent cannabis use. This study aimed to assess changes in prevalence of frequent cannabis use in adolescents in the United States and how far this varies by age and cohort.DesignAnalysis of Monitoring the Future, a nationally representative annual survey of 8th‐, 10th‐ and 12th‐grade students in the United States conducted from 1991 to 2018.SettingIn‐school surveys completed by US adolescents.ParticipantsA total of 1 236 159 8th‐, 10th‐ and 12th‐graders; 51.5% female, 59.6% non‐Hispanic white, 12.3% non‐Hispanic black, 13.4% Hispanic and 14.7% other race/ethnicity.MeasurementsFrequent cannabis use (FCU), defined as six or more occasions in the past 30 days, stratified by sex, race/ethnicity and parental education.FindingsFCU among US adolescents increased over the study period; the peak in 2010–18 was 11.4% among 18‐year‐old students. This increase was best explained by both period and cohort effects. Compared with respondents in 2005, adolescents surveyed in 2018 had period effects in FCU that were 1.6 times greater. Adolescents in younger birth cohorts (those born > 1988) had a lower increase in FCU than those born prior to 1988. Results were consistent across sex, parent education and race/ethnicity, with period effects indicating increasing FCU after 2005 and cohort effects indicating a lower magnitude of increase in more recent birth cohorts. Age and parental education disparities in FCU have increased over time, whereas race/ethnicity differences have converged over time; black students were 0.67 [95% confidence interval (CI) = 0.64–0.70] times as likely to use cannabis frequently as white students from 1991 to 2000, and 1.03 (95% CI = 0.98–1.09) times as likely from 2011 to 2018 (P‐value for time interaction < 0.001).ConclusionsThe prevalence of frequent cannabis use (FCU) increased from 1991 to 2018 among older adolescents in the United States. Racial/ethnic differences in FCU converged, whereas parental education differences have diverged.
dc.publisherWiley Periodicals, Inc.
dc.subject.otherAdolescent cannabis use
dc.subject.otherfrequent cannabis use
dc.subject.otherage–period–cohort
dc.subject.othertime trends
dc.subject.otherrace/ethnicity
dc.subject.otherparental education
dc.titleAge, period and cohort effects in frequent cannabis use among US students: 1991–2018
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPsychiatry
dc.subject.hlbsecondlevelPublic Health
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/151314/1/add14665_am.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/151314/2/add14665.pdf
dc.identifier.doi10.1111/add.14665
dc.identifier.sourceAddiction
dc.identifier.citedreferenceSarvet A. L., Wall M. M., Keyes K. M., Cerdá M., Schulenberg J. E., O’Malley P. M. et al. Recent rapid decrease in adolescents’ perception that marijuana is harmful, but no concurrent increase in use. Drug Alcohol Depend 2018; 186: 68 – 74.
dc.identifier.citedreferenceKeyes K. M., Ananth C. V. Age, period, and cohort effects in perinatal epidemiology: implications and considerations. Paediatr Perinat Epidemiol 2014; 28: 277 – 279.
dc.identifier.citedreferenceKeyes K. M., Rutherford C., Hamilton A., Palamar J. J. Age, period, and cohort effects in synthetic cannabinoid use among US adolescents, 2011–2015. Drug Alcohol Depend 2016; 166: 159 – 167.
dc.identifier.citedreferenceAnanth C. V., Friedman A. M., Keyes K. M., Lavery J. A., Hamilton A., Primary W. J. D. Repeat cesarean deliveries: a population‐based study in the United States, 1979–2010. Epidemiology 2017; 28: 567 – 574.
dc.identifier.citedreferenceCarstensen B., Plummer M., Laara E., Hills M. Epi: A Package for Statistical Analysis in Epidemiology. R package version 2.32. 2018. Available at: https://cran.r‐project.org/web/packages/Epi/index.html (accessed 3 June 2019) (Archived at http://www.webcitation.org/78ruBN3ze on 3 June 2019).
dc.identifier.citedreferenceMiech R. A., Johnston L. D., O’Malley P. M., Bachman J. G., Schulenberg J. E., Patrick M. E. Monitoring the Future national survey results on drug use, 1975–2017. Volume I Secondary School Students. vol. 1. 2018. Available at: http://monitoringthefuture.org/pubs.html#monographs (accessed 6 August 2018).
dc.identifier.citedreferenceJohnson R. M., Brooks‐Russell A., Ma M., Fairman B. J., Tolliver R. L. Jr., Levinson A. H. Usual modes of marijuana consumption among high school students in Colorado. J Stud Alcohol Drugs 2016; 77: 580 – 588.
dc.identifier.citedreferenceKeith D. R., Hart C. L., McNeil M. P., Silver R., Goodwin R. D. Frequent marijuana use, binge drinking and mental health problems among undergraduates. Am J Addict 2015; 24: 499 – 506.
dc.identifier.citedreferenceCamenga D. R., Kong G., Bagot K., Hoff R. A., Potenza M. N., Krishnan‐Sarin S. Marijuana and alcohol use and attempted smoking cessation in adolescent boys and girls. Subst Abuse 2014; 35: 381 – 386.
dc.identifier.citedreferenceTerry‐McElrath Y. M., O’Malley P. M., Johnston L. D., Bray B. C., Patrick M. E., Schulenberg J. E. 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. Drug Alcohol Depend 2017; 171: 70 – 83.
dc.identifier.citedreferenceJang J. B., Patrick M. E., Keyes K. M., Hamilton A. D., Schulenberg J. E. Frequent binge drinking among US adolescents, 1991 to 2015. Pediatrics 2017; 139: e20164023.
dc.identifier.citedreferenceTortoriello G., Morris C. V., Alpar A., et al. Miswiring the brain: Delta‐9‐tetrahydrocannabinol disrupts cortical connectivity by inducing SCG10 degradation, vol. 24. European Neuropsychopharmacology 2014. p. S97.
dc.identifier.citedreferenceZalesky A., Solowij N., Yücel M., Lubman D. I., Takagi M., Harding I. H. et al. Effect of long‐term cannabis use on axonal fibre connectivity. Brain 2012; 135: 2245 – 2255.
dc.identifier.citedreferenceFilbey F., Yezhuvath U. Functional connectivity in inhibitory control networks and severity of cannabis use disorder. Am J Drug Alcohol Abuse 2013; 39: 382 – 391.
dc.identifier.citedreferenceLynskey M., Hall W. The effects of adolescent cannabis use on educational attainment: a review. Addiction 2000; 95: 1621 – 1630.
dc.identifier.citedreferenceCrean R. D., Crane N. A., Mason B. J. An evidence based review of acute and long‐term effects of cannabis use on executive cognitive functions. J Addict Med 2011; 5: 1 – 8.
dc.identifier.citedreferenceBray J. W., Zarkin G. A., Ringwalt C., Junfeng Q. The relationship between marijuana initiation and dropping out of high school. Health Econ 2000; 9: 9 – 18.
dc.identifier.citedreferenceMeier M. H., Caspi A., Ambler A., Harrington H., Houts R., Keefe R. S. E. et al. Persistent cannabis users show neuropsychological decline from childhood to midlife. Proc Natl Acad Sci USA 2012; 109: E2657 – E2664; Available at: http://www.pnas.org/cgi/doi/10.1073/pnas.1206820109 (accessed 3 June 2019) (Archived at  http://www.webcitation.org/78rubTExU on 3 June 2019).
dc.identifier.citedreferenceFergusson D. M., Boden J. M. Cannabis use and later life outcomes. Addiction 2008; 103: 969 – 976.
dc.identifier.citedreferenceCompton W. M., Grant B. F., Colliver J. D., Glantz M. D., Stinson F. S. Prevalence of marijuana use disorders in the United States: 1991–1992 and 2001–2002. JAMA 2004; 291: 2114 – 2121.
dc.identifier.citedreferenceMontgomery L., Mantey D. Racial/ethnic differences in prevalence and correlates of blunt smoking among adolescents. J Psychoact Drugs 2018; 50: 195 – 205.
dc.identifier.citedreferencePatrick M. E., Wightman P., Schoeni R. F., Schulenberg J. E. Socioeconomic status and substance use among young adults: a comparison across constructs and drugs. J Stud Alcohol Drugs 2012; 73: 772 – 782.
dc.identifier.citedreferenceWidome R., Wall M. M., Laska M. N., Eisenberg M. E., Neumark‐Sztainer D. Adolescence to young adulthood: when socioeconomic disparities in substance use emerge. Subst Use Misuse 2013; 48: 1522 – 1529.
dc.identifier.citedreferenceChetty R., Grusky D., Hell M., Hendren N., Manduca R., Narang J. The fading American dream: trends in absolute income mobility since 1940. Science 2017; 356: 398 – 406.
dc.identifier.citedreferenceSwaim R. C., Beauvais F., Chavez E. L., Oetting E. R. The effect of school dropout rates on estimates of adolescent substance use among three racial/ethnic groups. Am J Public Health 1997; 87: 51 – 55.
dc.identifier.citedreferenceUS Department of Education. The Condition of Education 2018. Available at: https://nces.ed.gov/pubs2018/2018144.pdf (accessed 13 February 2019) (Archived at http://www.webcitation.org/78rvF98aO on 3 June 2019).
dc.identifier.citedreferenceMiech R., Johnston L., O’Malley P. M. Prevalence and attitudes regarding marijuana use among adolescents over the past decade. Pediatrics 2017; 140: e20170982.
dc.identifier.citedreferenceSubstance Abuse and Mental Health Services Administration. Key Substance Use and Mental Health Indicators in the United States: Results from the 2016 National Survey on Drug Use and Health. HHS Publication No. SMA 17–5044, NSDUH Series H‐52. 2017. Available at: https://www.samhsa.gov/data/sites/default/files/NSDUH‐FFR1‐2016/NSDUH‐FFR1‐2016.htm (accessed 13 Feb, 2019).
dc.identifier.citedreferenceNational Institute on Drug Abuse. Principles of Adolescent Substance Use Disorder Treatment: A Research‐based Guide. Bethedsa, MD: National Institutes of Health; 2014, pp. 1 – 37. Available at: www.drugabuse.gov (accessed 3 June 2019) (Archived at http://www.webcitation.org/78rrkyrSE on 3 June 2019).
dc.identifier.citedreferenceJohnston L. D., Miech R. A., O’Malley P. M., Bachman J. G., Schulenberg J. E., Patrick M. E. Monitoring the Future National Survey Results on Drug Use, 1975−2018. 2018. Available at: http://www.monitoringthefuture.org//pubs/monographs/mtf‐overview2018.pdf (accessed 6 February 2019) (Archived at http://www.webcitation.org/78rqBXNxH on 3 June 2019).
dc.identifier.citedreferenceHasin D. S., Grant B. NESARC findings on increased prevalence of marijuana use disorders—consistent with other sources of information. JAMA Psychiatry 2016; 73: 532.
dc.identifier.citedreferencePacek L. R., Mauro P. M., Martins S. S. Perceived risk of regular cannabis use in the United States from 2002 to 2012: differences by sex, age, and race/ethnicity. Drug Alcohol Depend 2015; 149: 232 – 244.
dc.identifier.citedreferenceHasin D. S., Grant B. F. The National Epidemiologic Survey on alcohol and related conditions (NESARC) waves 1 and 2: review and summary of findings. Soc Psychiatry Psychiatr Epidemiol 2015; 50: 1609 – 1640.
dc.identifier.citedreferenceCerda M., Wall M., Keyes K. M., Galea S., Hasin D. Medical marijuana laws in 50 states: investigating the relationship between state legalization of medical marijuana and marijuana use, abuse and dependence. Drug Alcohol Depend Ireland 2012; 120: 22 – 27.
dc.identifier.citedreferenceKeyes K. M., Wall M., Cerdá M., Schulenberg J., O’Malley P. M., Galea S. et al. How does state marijuana policy affect US youth? Medical marijuana laws, marijuana use and perceived harmfulness: 1991–2014. Addiction 2016; 111: 2187 – 2195.
dc.identifier.citedreferenceEpstein M., Hill K. G., Nevell A. M., Guttmannova K., Bailey J. A., Abbott R. D. et al. Trajectories of marijuana use from adolescence into adulthood: environmental and individual correlates. Dev Psychol 2015; 51: 1650 – 1663.
dc.identifier.citedreferenceLynskey M. T., Coffey C., Degenhardt L., Carlin J. B., Patton G. A longitudinal study of the effects of adolescent cannabis use on high school completion. Addiction 2003; 98: 685 – 692.
dc.identifier.citedreferencePope H. G., Gruber A. J., Hudson J. I., Cohane G., Huestis M. A., Yurgelun‐Todd D. Early‐onset cannabis use and cognitive deficits: what is the nature of the association? Drug Alcohol Depend 2003; 69: 303 – 310.
dc.identifier.citedreferenceSchuster R. M., Hoeppner S. S., Eden Evins A., Gilman J. M. Early onset marijuana use is associated with learning inefficiencies. Neuropsychology 2016; 30: 405 – 415.
dc.identifier.citedreferenceMaggs J. L., Staff J., Kloska D. D., Patrick M. E., O’Malley P. M., Schulenberg J. Predicting young adult degree attainment by late adolescent marijuana use. J Adolesc Health 2015; 57: 205 – 211.
dc.identifier.citedreferenceKeyes K. M., Utz R. L., Robinson W., Li G. What is a cohort effect? Comparison of three statistical methods for modeling cohort effects in obesity prevalence in the United States, 1971–2006. Soc Sci Med 2010; 70: 1100 – 1108.
dc.identifier.citedreferenceMiech R. A., Johnston L. D., O’Malley P. M., Bachman J. G., Schulenberg J. E., Patrick M. E. Monitoring the future national survey results on drug use, 1975–2016. Volume I Secondary School Students. Vol. 1, Institute for Social Research; 2017. Available at: http://www.monitoringthefuture.org/pubs/monographs/mtf-vol1_2016.pdf (Accessed 3 June, 2019).
dc.identifier.citedreferenceKerr W. C., Lui C., Ye Y. Trends and age, period and cohort effects for marijuana use prevalence in the 1984‐2015 US National Alcohol Surveys. Addiction 2018; 113: 473 – 481.
dc.identifier.citedreferenceYang Y., Fu W. J., Land K. C. A methodological comparison of age‐period‐cohort models: the Intrinsix estimator and conventional generalized linear models. Sociol Methodol 2004; 34: 75 – 110.
dc.identifier.citedreferenceYang Y., Schulhofer‐Wohl S., Fu W. J., Land K. C. The intrinsic estimator for age‐period‐cohort analysis: what it is and how to use it. Am J Sociol 2008; 113: 1697 – 1736.
dc.identifier.citedreferenceGrucza R. A., Agrawal A., Krauss M. J., Bongu J., Plunk A. D., Cavazos‐Rehg P. A. et al. Declining prevalence of marijuana use disorders among adolescents in the United States, 2002 to 2013. J Am Acad Child Adolesc Psychiatry 2016; 55: 487 –94.e6.
dc.identifier.citedreferenceHasin D. S., Saha T. D., Kerridge B. T., Goldstein R. B., Chou S. P., Zhang H. et al. Prevalence of marijuana use disorders in the United States between 2001–2002 and 2012–2013. JAMA Psychiatry 2015; 72: 1235 – 1242.
dc.identifier.citedreferenceSchulenberg J. E., Johnston L. D., O’Malley P. M., Bachman J. G., Miech R. A., Patrick M. E. Monitoring the Future national survey results on drug use, 1975–2017: Volume II, College students and adults ages 19–55. Ann Arbor; 2018. Available at: http://monitoringthefuture.org/pubs.html#monographs (accessed 23 August 2018) (Archived at http://www.webcitation.org/78ru5WYWz on 3 June 2019).
dc.identifier.citedreferenceMiech R., Koester S. Trends in U.S., past‐year marijuana use from 1985 to 2009: an age–period–cohort analysis. Drug Alcohol Depend 2012; 124: 259 – 267.
dc.identifier.citedreferencePacula R. L., Smart R. Medical marijuana and marijuana legalization. Annu Rev Clin Psychol United States 2017; 13: 397 – 419.
dc.identifier.citedreferenceJager J., Schulenberg J. E., O’Malley P. M., Bachman J. G. Historical variation in drug use trajectories across the transition to adulthood: the trend toward lower intercepts and steeper, ascending slopes. Dev Psychopathol 2013; 25: 527 – 543.
dc.identifier.citedreferenceKeyes K. M., Wall M., Feng T., Cerda M., Hasin D. S. Race/ethnicity and marijuana use in the United States: diminishing differences in the prevalence of use, 2006–2015. Drug Alcohol Depend 2017; 179: 379 – 386.
dc.identifier.citedreferenceJohnson R. M., Fairman B., Gilreath T., Xuan Z., Rothman E. F., Parnham T. et al. Past 15‐year trends in adolescent marijuana use: differences by race/ethnicity and sex. Drug Alcohol Depend 2015; 155: 8 – 15.
dc.identifier.citedreferenceVon Sydow K., Lieb R., Pfister H., Höfler M., Wittchen H. U. What predicts incident use of cannabis and progression to abuse and dependence? A 4‐year prospective examination of risk factors in a community sample of adolescents and young adults. Drug Alcohol Depend 2002; 68: 49 – 64.
dc.identifier.citedreferenceBachman J. G., O’Malley P. M., Johnston L. D., Schulenberg J. E., Wallace J. M. Racial/ethnic differences in the relationship between parental education and substance use among U.S. 8th‐, 10th‐, and 12th‐grade students: findings from the Monitoring the future project. J Stud Alcohol Drugs 2011; 72: 279 – 285.
dc.identifier.citedreferenceLemstra M., Bennett N. R., Neudorf C., Kunst A., Nannapaneni U., Warren L. M. et al. A meta‐analysis of marijuana and alcohol use by socio‐economic status in adolescents aged 10‐15 years. Can J Public Health 2008; 99: 172 – 177.
dc.identifier.citedreferenceLeventhal A. M., Bello M. S., Unger J. B., Strong D. R., Kirkpatrick M. G., Audrain‐McGovern J. Diminished alternative reinforcement as a mechanism underlying socioeconomic disparities in adolescent substance use. Prev Med (Balt) 2015; 80: 75 – 81.
dc.identifier.citedreferenceMiller D. S., Miller T. Q. A test of socioeconomic status as a predictor of initial marijuana use. Addict Behav 1997; 22: 479 – 489.
dc.identifier.citedreferenceClayton D., Schifflers E. Models for temporal variation in cancer rates. I: age–period and age–cohort models. Stat Med 1987; 6: 449 – 467.
dc.identifier.citedreferenceClayton D., Schifflers E. Models for temporal variation in cancer rates. II: age–period–cohort models. Stat Med 1987; 6: 469 – 481.
dc.identifier.citedreferenceKeyes K. M., Maslowsky J., Hamilton A., Schulenberg J. The great sleep recession: changes in sleep duration among US adolescents, 1991–2012. Pediatrics 2015; 135: 460 – 468.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.