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Shifting Age of Peak Binge Drinking Prevalence: Historical Changes in Normative Trajectories Among Young Adults Aged 18 to 30

dc.contributor.authorPatrick, Megan E.
dc.contributor.authorTerry‐mcelrath, Yvonne M.
dc.contributor.authorLanza, Stephanie T.
dc.contributor.authorJager, Justin
dc.contributor.authorSchulenberg, John E.
dc.contributor.authorO’Malley, Patrick M.
dc.date.accessioned2019-02-12T20:23:21Z
dc.date.available2020-04-01T15:06:24Zen
dc.date.issued2019-02
dc.identifier.citationPatrick, Megan E.; Terry‐mcelrath, Yvonne M. ; Lanza, Stephanie T.; Jager, Justin; Schulenberg, John E.; O’Malley, Patrick M. (2019). "Shifting Age of Peak Binge Drinking Prevalence: Historical Changes in Normative Trajectories Among Young Adults Aged 18 to 30." Alcoholism: Clinical and Experimental Research (2): 287-298.
dc.identifier.issn0145-6008
dc.identifier.issn1530-0277
dc.identifier.urihttps://hdl.handle.net/2027.42/147785
dc.publisherInstitute for Social Research
dc.publisherWiley Periodicals, Inc.
dc.subject.otherBinge
dc.subject.otherGender Differences
dc.subject.otherPattern
dc.titleShifting Age of Peak Binge Drinking Prevalence: Historical Changes in Normative Trajectories Among Young Adults Aged 18 to 30
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/147785/1/acer13933-sup-0001-Supinfo.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/147785/2/acer13933.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/147785/3/acer13933_am.pdf
dc.identifier.doi10.1111/acer.13933
dc.identifier.sourceAlcoholism: Clinical and Experimental Research
dc.identifier.citedreferenceSchulenberg JE, Johnston LD, O’Malley PM, Bachman JG, Miech RA, Patrick ME ( 2018 ) Monitoring the Future National Survey Results on Drug Use, 1975â 2017: Volume II, College Students and Adults Ages 19â 55. Institute for Social Research, The University of Michigan, Ann Arbor, MI. Available at: http://monitoringthefuture.org/pubs.html#monographs. Accessed December 26, 2018.
dc.identifier.citedreferencePew Research Center ( 2015 ) Estimated U.S. Population by Race and Hispanic Origin, 1965â 2015, with and without Immigrants Entering 1965â 2015, Pew Research Center. Available at: http://www.pewhispanic.org/2015/09/28/modern-immigration-wave-brings-59-million-to-u-s-driving-population-growth-and-change-through-2065/ph_2015-09-28_immigration-through-2065-a2-05/. Accessed December 26, 2018.
dc.identifier.citedreferencePujol J, Vendrell P, Junque C, Martiâ Vilalta JL, Capdevila A ( 1993 ) When does human brain development end? Evidence of corpus callosum growth up to adulthood. Ann Neurol 34: 71 â 75.
dc.identifier.citedreferenceSchulenberg J, Patrick ME, Maslowsky J, Maggs JL ( 2014 ) The epidemiology and etiology of adolescent substance use in developmental perspective, in Handbook of Developmental Psychopathology. 3rd ed. ( Lewis M, Rudolph K eds), pp 601 â 620. Springer, New York, NY.
dc.identifier.citedreferenceSlade T, Chapman C, Swift W, Keyes K, Tonks Z, Teesson M ( 2016 ) Birth cohort trends in the global epidemiology of alcohol use and alcoholâ related harms in men and women: systematic review and metaregression. BMJ Open 6.
dc.identifier.citedreferenceSowell ER, Thompson PM, Holmes CJ, Jernigan TL, Toga AW ( 1999 ) In vivo evidence for postâ adolescent brain maturation in frontal and striatal regions. Nat Neurosci 2: 859 â 861.
dc.identifier.citedreferenceSqueglia LM, Pulido C, Wetherill RR, Jacobus J, Brown GG, Tapert SF ( 2012 ) Brain response to working memory over three years of adolescence: influence of initiating heavy drinking. J Stud Alcohol Drugs 73: 749 â 760.
dc.identifier.citedreferenceSubstance Abuse and Mental Health Services Administration ( 2017 ) 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 17â 5044, NSDUH Series Hâ 52). Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration, Rockville, MD.
dc.identifier.citedreferenceSubstance Abuse and Mental Health Services Administration ( 2018 ) Binge Drinking: Terminology and Patterns of Use. Center for the Application of Prevention Technologies, Substance Abuse and Mental Health Services Administration, Rockville, MD.
dc.identifier.citedreferenceTamnes CK, Ostby Y, Fjell AM, Westlye LT, Dueâ Tonnessen P, Walhovd KB ( 2010 ) Brain maturation in adolescence and young adulthood: regional ageâ related changes in cortical thickness and white matter volume and microstructure. Cereb Cortex 20: 534 â 548.
dc.identifier.citedreferenceTan X, Shiyko MP, Li R, Li Y, Dierker L ( 2012 ) A timeâ varying effect model for intensive longitudinal data. Psychol Methods 17: 61 â 77.
dc.identifier.citedreferenceTaylor P, Parker K, Kochhar R, Fry R, Funk C, Patten E, Motel S ( 2012 ) Young, Underemployed and Optimistic: Coming of age, Slowly, in a Tough Economy. Pew Research Center, Washington, DC. Available at: http://assets.pewresearch.org/wp-content/uploads/sites/3/2012/02/young-underemployed-and-optimistic.pdf. Accessed December 26, 2018.
dc.identifier.citedreferenceTerryâ McElrath YM, Patrick ME ( 2018 ) U.S. adolescent alcohol use by race/ethnicity: consumption and perceived need to reduce/stop use. J Ethn Subst Abuse doi: 10.1080/15332640.2018.1433094 [Epub ahead of print].
dc.identifier.citedreferenceTice P, Lipari RN, Van Horn SL ( 2017 ) Substance use Among 12th Grade Aged Youths, by Dropout Status. The CHBSQ Report. Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration, Rockville, MD. Available at: https://www.samhsa.gov/data/sites/default/files/report_3196/ShortReport-3196.pdf. Accessed December 26, 2018.
dc.identifier.citedreferenceUS Bureau of Labor Statistics (2004â 2017). Tables on Employment Status of the Civilian Noninstitutional Population, by Age and Gender, Annual Averages from 2002 and 2004â 2016. Obtained from Annual Publications of Annual Report: Women in the Labor Force: A Databook. Available at: https://www.bls.gov/cps/demographics.htm. Accessed December 26, 2018.
dc.identifier.citedreferenceUS Census Bureau ( 2017 ) Median Age at First Marriage: 1890 to Present. Available at: https://www.census.gov/content/dam/Census/library/visualizations/time-series/demo/families-and-households/ms-2.pdf. Accessed December 26, 2018.
dc.identifier.citedreferenceWagenaar AC, Toomey TL ( 2002 ) Effects of minimum drinking age laws: review and analyses of the literature from 1960 to 2000. J Stud Alcohol Suppl s4: 206 â 225.
dc.identifier.citedreferenceWalhovd KB, Fjell AM, Reinvang I, Lundervold A, Dale AM, Eilertsen DE, Quinn BT, Salat D, Makris N, Fischl B ( 2005 ) Effects of age on volumes of cortex, white matter and subcortical structures. Neurobiol Aging 26: 1261 â 1270; discussion 1275â 1278.
dc.identifier.citedreferenceWeighted TVEM SAS Macro ( 2017 ) Weighted TVEM SAS Macro (Version 2.6.0) [Software], University Park, PA, The Methodology Center, Penn State. Available at: http://methodology.psu.edu. Accessed December 26, 2018.
dc.identifier.citedreferenceWhite A, Castle Iâ JP, Chen CM, Shirley M, Roach D, Hingson R ( 2015 ) Converging patterns of alcohol use and related outcomes among females and males in the United States, 2002 to 2012. Alcohol Clin Exp Res 39: 1712 â 1726.
dc.identifier.citedreferenceWood MD, Fairlie AM, Fernandez AC, Borsari B, Capone C, Laforge R, Carmonaâ Barros R ( 2010 ) Brief motivational and parent interventions for college students: a randomized factorial study. J Consult Clin Psychol 78: 349 â 361.
dc.identifier.citedreferenceWorld Health Organization ( 2014 ) Global Status Report on Alcohol and Health, 2014. World Health Organization, Geneva, Switzerland. Available at: http://www.who.int/substance_abuse/publications/global_alcohol_report/msb_gsr_2014_1.pdf. Accessed December 26, 2018.
dc.identifier.citedreferenceAlati R, Betts KS, Williams GM, Najman JM, Hall WD ( 2014 ) Generational increase in young women’s drinking: a prospective analysis of motherâ daughter dyads. JAMA Psychiatry 71: 952 â 957.
dc.identifier.citedreferenceAlcohol Beverage Retail ( 2018 ) How maleâ driven alcohol brands are pivoting to target women more effectively (April 16). Available at: https://www.gospotcheck.com/2018/04/16/how-male-driven-alcohol-brands-are-pivoting-to-target-women-more-effectively/. Accessed December 26, 2018.
dc.identifier.citedreferenceAlfonsoâ Loeches S, Guerri C ( 2011 ) Molecular and behavioral aspects of the actions of alcohol on the adult and developing brain. Crit Rev Clin Lab Sci 48: 19 â 47.
dc.identifier.citedreferenceBachman JG, Johnston LD, O’Malley PM, Schulenberg JE, Miech RA ( 2015 ) The Monitoring the Future Project After Four Decades: Design and Procedures (Monitoring the Future Occasional Paper No. 82). Institute for Social Research, Ann Arbor, MI. Available at: http://monitoringthefuture.org/pubs/occpapers/mtf-occ82.pdf. Accessed December 26, 2018.
dc.identifier.citedreferenceBachman JG, O’Malley PM, Schulenberg JE, Johnston LD, Bryant AL, Merline AC ( 2002 ) The Decline of Substance Use in Young Adulthood: Changes in Social Activities, Roles, and Beliefs. Lawrence Erlbaum Associates, Mahwah, NJ.
dc.identifier.citedreferenceBachman JG, Wadsworth KN, O’Malley PM, Johnston LD, Schulenberg JE ( 1997 ) Smoking, Drinking, and Drug Use in Young Adulthood: The Impacts of New Freedoms and New Responsibilities. Lawrence Erlbaum Associates, Mahwah, NJ.
dc.identifier.citedreferenceCenter for Behavioral Health Statistics and Quality ( 2015 ) Behavioral Health Trends in the United States: Results from the 2014 National Survey on Drug Use and Health (HHS Publication No. SMA 15â 4927, NSDUH Series Hâ 50). Available at: https://www.samhsa.gov/data/sites/default/files/NSDUH-FRR1-2014/NSDUH-FRR1-2014.pdf. Accessed December 26, 2018.
dc.identifier.citedreferenceCenters for Disease Control and Prevention ( 2015 ) BRFSS Prevalence & Trends Data [online]. National Center for Chronic Disease Prevention and Health Promotion. Available at: https://www.cdc.gov/brfss/brfssprevalence/. Accessed December 26, 2018.
dc.identifier.citedreferenceCenters for Disease Control and Prevention ( 2017 ) Binge Drinking. Available at: https://www.cdc.gov/alcohol/fact-sheets/binge-drinking.htm. Accessed December 26, 2018.
dc.identifier.citedreferenceConrod PJ, Castellanos N, Mackie C ( 2008 ) Personalityâ targeted interventions delay the growth of adolescent drinking and binge drinking. J Child Psychol Psychiatry 49: 181 â 190.
dc.identifier.citedreferenceCrego A, Holguin SR, Parada M, Mota N, Corral M, Cadaveira F ( 2009 ) Binge drinking affects attentional and visual working memory processing in young university students. Alcohol Clin Exp Res 33: 1870 â 1879.
dc.identifier.citedreferenceDawson DA, Goldstein RB, Saha TD, Grant BF ( 2015 ) Changes in alcohol consumption: United States, 2001â 2002 to 2012â 2013. Drug Alcohol Depend 148: 56 â 61.
dc.identifier.citedreferenceDelker E, Brown Q, Hasin DS ( 2016 ) Alcohol consumption in demographic subpopulations: an epidemiologic overview. Alcohol Res 38: 7 â 15.
dc.identifier.citedreferenceDir AL, Bell RL, Adams ZW, Hulvershorn LA ( 2017 ) Gender differences in risk factors for adolescent binge drinking and implications for intervention and prevention. Front Psychiatry 8: 289.
dc.identifier.citedreferenceDziak JJ, Lanza ST, Tan X ( 2014 ) Effect size, statistical power and sample size requirements for the bootstrap likelihood ratio test in latent class analysis. Struct Equ Model 21: 534 â 552.
dc.identifier.citedreferenceDziak JJ, Li R, Wagner AT ( 2017 ) Weighted TVEM SAS Macro Usersâ Guide (Version 2.6). University Park, PA, The Methodology Center, Penn State. Available at: http://methodology.psu.edu. Accessed December 26, 2018.
dc.identifier.citedreferenceErol A, Karpyak VM ( 2015 ) Sex and genderâ related differences in alcohol use and its consequences: contemporary knowledge and future research considerations. Drug Alcohol Depend 156: 1 â 13.
dc.identifier.citedreferenceEuropean Centre for Monitoring Alcohol Marketing ( 2008 ) Women: The New Market. Trends in Alcohol Marketing. Available at: http://eucam.info/wp-content/uploads/2014/05/women_the_new_market_final.pdf. Accessed December 26, 2018.
dc.identifier.citedreferenceHedlund JH, Ulmer RG, Preusser DF ( 2001 ) Determine Why There Are Fewer Young Alcoholâ Impaired Drivers. Final Report. DOT HS 809 348. US Department of Transportation, National Highway Traffic Safety Administration, Washington, DC. Available at: https://one.nhtsa.gov/people/injury/research/FewerYoungDrivers/index.htm. Accessed December 26, 2018.
dc.identifier.citedreferenceHoxie P, Skinner D ( 1987 ) A Statistical Analysis of the Effects of a Uniform Minimum Drinking Age. US Department of Transportation, National Highway Traffic Safety Administration, Washington, DC. Available at: https://rosap.ntl.bts.gov/view/dot/8611. Accessed December 26, 2018.
dc.identifier.citedreferenceJager J, Keyes KM, Schulenberg JE ( 2015 ) Historical variation in young adult binge drinking trajectories and its link to historical variation in social roles and minimum legal drinking age. Dev Psychol 51: 962 â 974.
dc.identifier.citedreferenceJager J, Schulenberg JE, O’Malley PM, Bachman JG ( 2013 ) Historical variation in drug use trajectories across the transition to adulthood: the trend toward lower intercepts and steeper, ascending slopes. Dev Psychopathol 25: 527 â 543.
dc.identifier.citedreferenceKann L, McManus T, Harris WA, Shanklin SL, Flint KH, Queen B, Lowry R, Chyen D, Whittle L, Thornton J, Lim C, Bradford D, Yamakawa Y, Leon M, Brener N, Ethier K ( 2018 ) Youth risk behavior surveillance â United States, 2017. MMWR Surveill Summ 67: 1 â 114.
dc.identifier.citedreferenceKarlamangla A, Zhou K, Reuben D, Greendale G, Moore A ( 2006 ) Longitudinal trajectories of heavy drinking in adults in the United States of America. Addiction 101: 91 â 99.
dc.identifier.citedreferenceKerr WC, Greenfield TK, Bond J, Ye Y, Rehm J ( 2009 ) Ageâ periodâ cohort modelling of alcohol volume and heavy drinking days in the US National Alcohol Surveys: divergence in younger and older adult trends. Addiction 104: 27 â 37.
dc.identifier.citedreferenceKhandwala YS, Zhang CA, Lu Y, Eisenberg ML ( 2017 ) The age of fathers in the USA is rising: an analysis of 168 867 480 births from 1972 to 2015. Hum Reprod 32: 2110 â 2116.
dc.identifier.citedreferenceKindy K, Keating D ( 2016 ) For women, heavy drinking has been normalized. That’s dangerous. The Washington Post, December 23. Available at: https://www.washingtonpost.com/national/for-women-heavy-drinking-has-been-normalized-thats-dangerous/2016/12/23/0e701120-c381-11e6-9578-0054287507db_story.html?utm_term=.e463fae6d392. Accessed December 20, 2018.
dc.identifier.citedreferenceLanza ST, Vasilenko S, Liu X, Li R, Piper ME ( 2014 ) Advancing the understanding of craving during smoking cessation attempts: a demonstration of the timeâ varying effect model. Nicotine Tob Res 16: S127 â S134.
dc.identifier.citedreferenceLanza ST, Vasilenko SA, Russell MA ( 2016 ) Timeâ varying effect modeling to address new questions in behavioral research: examples in marijuana use. Psychol Addict Behav 30: 939 â 954.
dc.identifier.citedreferenceLebel C, Beaulieu C ( 2011 ) Longitudinal development of human brain wiring continues from childhood into adulthood. J Neurosci 31: 10937 â 10947.
dc.identifier.citedreferenceLi R, Dziak JD, Tan X, Huang L, Wagner AT, Yang J ( 2015 ) TVEM (Timeâ Varying Effect Modeling) SAS Macro Users’ Guide (Version 3.1.0). University Park, The Methodology Center, Penn State. Available at: http://methodology.psu.edu. Accessed December 26, 2018.
dc.identifier.citedreferenceMaggs JL, Schulenberg JE ( 2004 ) Trajectories of alcohol use during the transition to adulthood. Alcohol Res Health 28: 195 â 201.
dc.identifier.citedreferenceMathews TJ, Hamilton BE ( 2016 ) Mean age of mothers is on the rise: United States, 2000â 2014. NCHS Data Brief (232): 1 â 8.
dc.identifier.citedreferenceMatthews TJ, Hamilton BE ( 2009 ) Delayed childbearing: more women are having their first child later in life. NCHS Data Brief (21): 1 â 8.
dc.identifier.citedreferenceMiech RA, Johnston LD, O’Malley PM, Bachman JG, Schulenberg JE, Patrick ME ( 2018 ) Monitoring the Future National Survey Results on Drug use, 1975â 2017: Volume I, Secondary School Students. Institute for Social Research, University of Michigan, Ann Arbor. Available at: http://monitoringthefuture.org/pubs/monographs/mtf-vol1_2017.pdf. Accessed December 26, 2018.
dc.identifier.citedreferenceNaimi TS, Lipscomb LE, Brewer RD, Gilbert BC ( 2003 ) Binge drinking in the preconception period and the risk of unintended pregnancy: implications for women and their children. Pediatrics 111: 1136 â 1141.
dc.identifier.citedreferenceNational Center for Education Statistics ( 2018 ) US College Enrollment Statistics for Public and Private Colleges from 1965 to 2016 and Projections up to 2017 (in Millions). US Department of Education. Available at: https://www.statista.com/statistics/183995/us-college-enrollment-and-projections-in-public-and-private-institutions/. Accessed December 26, 2018.
dc.identifier.citedreferenceO’Malley PM, Wagenaar AC ( 1991 ) Effects of minimum drinking age laws on alcohol use, related behaviors and traffic crash involvement among American youth: 1976â 1987. J Stud Alcohol 52: 478 â 491.
dc.identifier.citedreferenceParsons R ( 2010 ) Can the alcohol industry truly tap into what women want? Marketing Week, March 26. Available at: https://www.marketingweek.com/2010/03/26/can-the-alcohol-industry-truly-tap-into-what-women-want/. Accessed December 10, 2018.
dc.identifier.citedreferencePatrick ME, Evansâ Polce R, Kloska DD, Maggs JL, Lanza ST ( 2017a ) Ageâ related changes in associations between reasons for alcohol use and highâ intensity drinking across young adulthood. J Stud Alcohol Drugs 78: 558 â 570.
dc.identifier.citedreferencePatrick ME, Schulenberg JE ( 2011 ) How trajectories of reasons for alcohol use relate to trajectories of binge drinking: national panel data spanning late adolescence to early adulthood. Dev Psychol 47: 311 â 317.
dc.identifier.citedreferencePatrick ME, Terryâ McElrath YM, Kloska DD, Schulenberg JE ( 2016 ) Highâ intensity drinking among young adults in the United States: prevalence, frequency, and developmental change. Alcohol Clin Exp Res 40: 1905 â 1912.
dc.identifier.citedreferencePatrick ME, Terryâ McElrath YM, Miech RA, Schulenberg JE, O’Malley PM, Johnston LD ( 2017b ) Ageâ specific prevalence of binge and highâ intensity drinking among U.S. young adults: changes from 2005 to 2015. Alcohol Clin Exp Res 41: 1319 â 1328.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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