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Although trends in and determinants of overall binge drinking are well characterized, little is known about how binge drinking trends vary by beverage type (beer, wine, liquor) across young adulthood and over historical time. Understanding beverage\u2010specific patterns may clarify shifts in alcohol\u2010related risks and inform beverage\u2010specific policy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Data were drawn from the Monitoring the Future longitudinal study, which sampled representative cohorts of US high\u2010school seniors from 1976 through 2008 and followed them across seven waves through age 30 from 1988 through 2020 (\n                      <jats:italic>N<\/jats:italic>\n                      \u2009=\u200920,684). Piecewise latent\u2010growth models assessed age trends, cohort trends, and age\u2010by\u2010cohort interactions in overall, beer, wine, and liquor binge drinking prevalence separately for each sex.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>For both sexes, overall binge drinking followed an inverted U pattern across age (increases from age 18\u201322, decreases through age 30); beer and liquor binge drinking followed the overall inverted U pattern, whereas wine was flat. Cohort trends varied sharply by age and differentially so by beverage type. For both sexes, historical decreases in overall binge drinking at the outset of young adulthood (age 18) were a function of historical decreases in beer and wine. However, due to historical increases in liquor and wine during the latter portion of young adulthood, for both sexes age 18 decreases in overall binge drinking were not maintained through age 30, where levels were flat for men and increased for women.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Beverage\u2010specific trends reveal that historical declines in binge drinking at younger ages of young adulthood are concentrated in beer and wine, whereas increases in liquor and wine at older ages offset these initial declines. Beverage\u2010specific policies with evidence\u2010based efficacy and cost effectiveness, such as increasing price and reducing availability, may help reduce emerging risks related to liquor and wine binge drinking.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/acer.70420","type":"journal-article","created":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T05:46:30Z","timestamp":1792129590000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Age 18\u201330 Trajectories of Beverage\u2010Specific Binge Drinking Prevalence Over 30\u2009Years for Men and Women in the United States"],"prefix":"10.1111","volume":"50","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0067-0920","authenticated-orcid":false,"given":"Justin","family":"Jager","sequence":"first","affiliation":[{"name":"Department of Psychology University of Michigan  Ann Arbor Michigan USA"},{"name":"Survey Research Center, Institute for Social Research University of Michigan  Ann Arbor Michigan USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Yan","sequence":"additional","affiliation":[{"name":"T. Denny Sanford School of Social and Family Dynamics Arizona State University  Tempe Arizona USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8834-1114","authenticated-orcid":false,"given":"Paul","family":"Espinoza","sequence":"additional","affiliation":[{"name":"T. Denny Sanford School of Social and Family Dynamics Arizona State University  Tempe Arizona USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3594-4944","authenticated-orcid":false,"given":"Megan E.","family":"Patrick","sequence":"additional","affiliation":[{"name":"Survey Research Center, Institute for Social Research University of Michigan  Ann Arbor Michigan USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5624-021X","authenticated-orcid":false,"given":"Katherine M.","family":"Keyes","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Columbia University Mailman School of Public Health  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,15]]},"reference":[{"issue":"1","key":"e_1_2_9_2_1","doi-asserted-by":"crossref","DOI":"10.1186\/1471-2458-11-249","article-title":"A Systematic Review of the Effect of Retention Methods in Population\u2010Based Cohort Studies","volume":"11","author":"Booker C. 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