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      Simultaneous Alcohol and Marijuana Use Among Young Adult Drinkers: Age-Specific Changes in Prevalence from 1977 to 2016

      1 , 1
      Alcoholism: Clinical and Experimental Research
      Wiley

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          Abstract

          <div class="section"> <a class="named-anchor" id="S1"> <!-- named anchor --> </a> <h5 class="section-title" id="d214116e120">Background:</h5> <p id="P2">The overall prevalence of United States young adult alcohol use has decreased, but less is known about historical change in related behaviors such as simultaneous alcohol and marijuana (SAM) use that may increase alcohol-related risks and societal costs. The purpose of this paper is to examine historical change in SAM use prevalence among U.S. young adult alcohol users from 1977–2016, and consider the extent to which observed historical change in SAM use among alcohol users reflects co-occurring change in marijuana use during these years. </p> </div><div class="section"> <a class="named-anchor" id="S2"> <!-- named anchor --> </a> <h5 class="section-title" id="d214116e125">Methods:</h5> <p id="P3">Data on past 12-month alcohol, marijuana, and SAM use at up to six modal ages (19/20, 21/22, 23/24, 25/26, 27/28, 29/30) were collected from 11,789 individuals (45.0% men) participating in the Monitoring the Future panel study. Annual prevalence estimates within modal age group were obtained; historical SAM use trends among alcohol and marijuana users were estimated. </p> </div><div class="section"> <a class="named-anchor" id="S3"> <!-- named anchor --> </a> <h5 class="section-title" id="d214116e130">Results:</h5> <p id="P4">From 2014 to 2016, SAM use was reported by approximately 30% of alcohol users aged 19/20 and 21/22, and 20% to 25% of alcohol users aged 23/24 through 29/30. Since the mid-1990s, age-specific historical trends in SAM use prevalence among alcohol users followed one of four patterns: significant increase followed by oscillating increases/decreases (at modal age 19/20); consistent and significant increases (at modal ages 21/22, 23/24, and 25/26); stability followed by increase (at modal ages 27/28); or stability (at modal ages 29/30). In contrast, SAM use trends among marijuana users primarily reflected stability, with some evidence of a decrease across time at modal ages 19/20 and 23/24. Historical change in SAM prevalence among alcohol users was strongly and positively correlated with changes in overall marijuana use prevalence. </p> </div><div class="section"> <a class="named-anchor" id="S4"> <!-- named anchor --> </a> <h5 class="section-title" id="d214116e135">Conclusions:</h5> <p id="P5">A growing proportion of early- and mid-young adult alcohol users reported SAM use, with the highest risk among those in the early years of young adulthood. Young adult SAM use may continue to increase in proportion to the degree that young adult marijuana use continues to increase. </p> </div>

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          Most cited references42

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          Assessment of factors affecting the validity of self-reported health-risk behavior among adolescents: evidence from the scientific literature

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            Binge drinking and associated health risk behaviors among high school students.

            Underage drinking contributes to the 3 leading causes of death (unintentional injury, homicide, and suicide) among persons aged 12 to 20 years. Most adverse health effects from underage drinking stem from acute intoxication resulting from binge drinking. Although binge drinking, typically defined as consuming > or = 5 drinks on an occasion, is a common pattern of alcohol consumption among youth, few population-based studies have focused specifically on the characteristics of underage binge drinkers and their associated health risk behaviors. We analyzed data on current drinking, binge drinking, and other health risk behaviors from the 2003 National Youth Risk Behavior Survey. Prevalence estimates and 95% confidence intervals were calculated by using SAS and SUDAAN statistical software. Logistic regression was used to examine the associations between different patterns of alcohol consumption and health risk behaviors. Overall, 44.9% of high school students reported drinking alcohol during the past 30 days (28.8% binge drank and 16.1% drank alcohol but did not binge drink). Although girls reported more current drinking with no binge drinking, binge-drinking rates were similar among boys and girls. Binge-drinking rates increased with age and school grade. Students who binge drank were more likely than both nondrinkers and current drinkers who did not binge to report poor school performance and involvement in other health risk behaviors such as riding with a driver who had been drinking, being currently sexually active, smoking cigarettes or cigars, being a victim of dating violence, attempting suicide, and using illicit drugs. A strong dose-response relationship was found between the frequency of binge drinking and the prevalence of other health risk behaviors. Binge drinking is the most common pattern of alcohol consumption among high school youth who drink alcohol and is strongly associated with a wide range of other health risk behaviors. Effective intervention strategies (eg, enforcement of the minimum legal drinking age, screening and brief intervention, and increasing alcohol taxes) should be implemented to prevent underage alcohol consumption and adverse health and social consequences resulting from this behavior.
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              Cannabis effects on driving skills.

              Cannabis is the most prevalent illicit drug identified in impaired drivers. The effects of cannabis on driving continue to be debated, making prosecution and legislation difficult. Historically, delays in sample collection, evaluating the inactive Δ(9)-tetrahydrocannabinol (THC) metabolite 11-nor-9-carboxy-THC, and polydrug use have complicated epidemiologic evaluations of driver impairment after cannabis use.
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                Author and article information

                Journal
                Alcoholism: Clinical and Experimental Research
                Alcohol Clin Exp Re
                Wiley
                01456008
                November 2018
                November 2018
                September 14 2018
                : 42
                : 11
                : 2224-2233
                Affiliations
                [1 ]Institute for Social Research; University of Michigan; Ann Arbor Michigan
                Article
                10.1111/acer.13879
                6214706
                30277588
                13604d8c-13e0-4737-9a14-68c01658055f
                © 2018

                http://doi.wiley.com/10.1002/tdm_license_1.1

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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