Megan E Patrick1, Rebecca J Evans-Polce2, Michael J Parks3, Yvonne M Terry-McElrath1. 1. Institute for Social Research, University of Michigan, Ann Arbor, Michigan. 2. Center for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, Michigan. 3. Institute for Translational Research in Children's Mental Health, Minneapolis, Minnesota.
Abstract
OBJECTIVE: The purpose of this longitudinal study was to identify associations of drinking intensity at age 29/30 with symptoms of alcohol use disorder (AUD) at age 35. METHOD: Analyses used national longitudinal data from 1,253 individuals (53.5% female) participating in the Monitoring the Future study. Age 29/30 data were collected from 2005 to 2013; age 35 data were collected from 2010 to 2018. Multivariable models regressed age 35 past-5-year AUD symptoms (vs. nondisordered drinking/abstinence) on age 29/30 past-2-week drinking intensity (no/low [0-4] drinking, binge [5-9] drinking, high-intensity [10+] drinking), with key covariates being controlled for. RESULTS: At age 35, 32.6% (SE = 1.50) of respondents reported AUD symptoms. AUD symptoms at age 35 were reported by 77.5% (SE = 4.79) of participants who reported age 29/30 high-intensity drinking and 60.6% (SE = 3.95) of participants who reported age 29/30 binge drinking. Age 35 past-5-year abstinence was reported by almost no respondents reporting age 29/30 binge drinking or high-intensity drinking. AUD symptoms at age 35 were significantly more likely for those who reported binge (adjusted multivariable odds ratio [AOR] = 5.61, 95% CI [3.79, 8.30], p < .001) or high-intensity (AOR = 12.26, 95% CI [6.70, 22.41], p < .001) drinking versus no/low drinking at age 29/30. The likelihood of having AUD symptoms was significantly higher for high-intensity than for binge drinkers (AOR = 2.18, 95% CI [1.14, 4.19], p = .019). CONCLUSIONS: Nearly 80% of those young adults who reported engaging in high-intensity drinking (10+ drinks in a row) at age 29/30 later reported AUD symptoms at age 35. High-intensity drinking appears to be a strong prospective marker of risk for AUD symptoms among adults in the United States.
OBJECTIVE: The purpose of this longitudinal study was to identify associations of drinking intensity at age 29/30 with symptoms of alcohol use disorder (AUD) at age 35. METHOD: Analyses used national longitudinal data from 1,253 individuals (53.5% female) participating in the Monitoring the Future study. Age 29/30 data were collected from 2005 to 2013; age 35 data were collected from 2010 to 2018. Multivariable models regressed age 35 past-5-year AUD symptoms (vs. nondisordered drinking/abstinence) on age 29/30 past-2-week drinking intensity (no/low [0-4] drinking, binge [5-9] drinking, high-intensity [10+] drinking), with key covariates being controlled for. RESULTS: At age 35, 32.6% (SE = 1.50) of respondents reported AUD symptoms. AUD symptoms at age 35 were reported by 77.5% (SE = 4.79) of participants who reported age 29/30 high-intensity drinking and 60.6% (SE = 3.95) of participants who reported age 29/30 binge drinking. Age 35 past-5-year abstinence was reported by almost no respondents reporting age 29/30 binge drinking or high-intensity drinking. AUD symptoms at age 35 were significantly more likely for those who reported binge (adjusted multivariable odds ratio [AOR] = 5.61, 95% CI [3.79, 8.30], p < .001) or high-intensity (AOR = 12.26, 95% CI [6.70, 22.41], p < .001) drinking versus no/low drinking at age 29/30. The likelihood of having AUD symptoms was significantly higher for high-intensity than for binge drinkers (AOR = 2.18, 95% CI [1.14, 4.19], p = .019). CONCLUSIONS: Nearly 80% of those young adults who reported engaging in high-intensity drinking (10+ drinks in a row) at age 29/30 later reported AUD symptoms at age 35. High-intensity drinking appears to be a strong prospective marker of risk for AUD symptoms among adults in the United States.
Authors: Ellen E Bouchery; Henrick J Harwood; Jeffrey J Sacks; Carol J Simon; Robert D Brewer Journal: Am J Prev Med Date: 2011-11 Impact factor: 5.043
Authors: Bridget F Grant; Risë B Goldstein; Tulshi D Saha; S Patricia Chou; Jeesun Jung; Haitao Zhang; Roger P Pickering; W June Ruan; Sharon M Smith; Boji Huang; Deborah S Hasin Journal: JAMA Psychiatry Date: 2015-08 Impact factor: 21.596
Authors: Robert A Zucker; Maria M Wong; Duncan B Clark; Kenneth E Leonard; John E Schulenberg; Jack R Cornelius; Hiram E Fitzgerald; Gregory G Homish; Alicia Merline; Joel T Nigg; Patrick M O'Malley; Leon I Puttler Journal: Alcohol Clin Exp Res Date: 2006-02 Impact factor: 3.455