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      Sexual-orientation differences in alcohol use trajectories and disorders in emerging adulthood: results from a longitudinal cohort study in the United States

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          Abstract

          <div class="section"> <a class="named-anchor" id="S1"> <!-- named anchor --> </a> <h5 class="section-title" id="d2025230e236">Aims</h5> <p id="P1">We estimated sexual-orientation differences in alcohol use trajectories during emerging adulthood, and tested whether alcohol use trajectories mediated sexual-orientation differences in alcohol use disorders (AUDs). </p> </div><div class="section"> <a class="named-anchor" id="S2"> <!-- named anchor --> </a> <h5 class="section-title" id="d2025230e241">Design</h5> <p id="P2">Longitudinal self-reported survey data from the Growing Up Today Study.</p> </div><div class="section"> <a class="named-anchor" id="S3"> <!-- named anchor --> </a> <h5 class="section-title" id="d2025230e246">Setting</h5> <p id="P3">United States.</p> </div><div class="section"> <a class="named-anchor" id="S4"> <!-- named anchor --> </a> <h5 class="section-title" id="d2025230e251">Participants</h5> <p id="P4">A total of 12 493 participants aged 18–25 during the 2003, 2005, 2007 or 2010 surveys.</p> </div><div class="section"> <a class="named-anchor" id="S5"> <!-- named anchor --> </a> <h5 class="section-title" id="d2025230e256">Measurements</h5> <p id="P5">Stratified by gender, longitudinal latent class analyses estimated alcohol use trajectories (using past-year frequency, quantity and binge drinking from 2003 to 2010). Multinomial logistic regression tested differences in trajectory class memberships by sexual orientation [comparing completely heterosexual (CH) participants with sexual-minority subgroups: mainly heterosexual (MH), bisexual (BI) and gay/lesbian (GL) participants]. Modified Poisson regression and mediation analyses tested whether trajectories explained sexual-orientation differences in AUDs (past-year DSM-IV abuse/dependence in 2010). </p> </div><div class="section"> <a class="named-anchor" id="S6"> <!-- named anchor --> </a> <h5 class="section-title" id="d2025230e261">Findings</h5> <p id="P6">Six alcohol use trajectory classes emerged for women and five for men: these included heavy (23.5/36.9% of women/men), moderate (31.8/26.4% of women/men), escalation to moderately heavy (9.7/12.0% of women/men), light (17.0% for women only), legal (drinking onset at age 21; 11.1/15.7% of women/men) and non-drinkers (7.0/9.1% of women/men). Compared with CH women, MH and BI women had higher odds of being heavy, moderate, escalation to moderately heavy and light drinkers versus non-drinkers (odds ratios = 2.02–3.42; <i>P</i>-values &lt; 0.01–0.04). Compared with CH men, MH men had higher odds of being heavy, moderate and legal drinkers versus non-drinkers (odds ratios = 2.24–3.34; <i>P</i>-values &lt; 0.01–0.01). MH men and women, BI women and GLs had higher risk of AUDs in 2010 than their same-gender CH counterparts (risk ratios = 1.34–2.17; <i>P</i>-values &lt; 0.01). Alcohol use trajectories mediated sexual-orientation differences in AUDs for MH and GL women (proportion of effect mediated = 30.8–31.1%; P-values &lt; 0.01–0.02), but not for men. </p> </div><div class="section"> <a class="named-anchor" id="S7"> <!-- named anchor --> </a> <h5 class="section-title" id="d2025230e275">Conclusions</h5> <p id="P7">In the United States, throughout emerging adulthood, several sexual-minority subgroups appear to have higher odds of belonging to heavier alcohol use trajectories than completely heterosexuals. These differences partially explained the higher risk of alcohol use disorders among mainly heterosexual and gay/lesbian women but not among sexual-minority men. </p> </div>

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          Most cited references49

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          Emerging Adulthood: What Is It, and What Is It Good For?

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            Prevalence of mental disorders, psychological distress, and mental health services use among lesbian, gay, and bisexual adults in the United States.

            Recent estimates of mental health morbidity among adults reporting same-gender sexual partners suggest that lesbians, gay men, and bisexual individuals may experience excess risk for some mental disorders as compared with heterosexual individuals. However, sexual orientation has not been measured directly. Using data from a nationally representative survey of 2,917 midlife adults, the authors examined possible sexual orientation-related differences in morbidity, distress, and mental health services use. Results indicate that gay-bisexual men evidenced higher prevalence of depression, panic attacks, and psychological distress than heterosexual men. Lesbian-bisexual women showed greater prevalence of generalized anxiety disorder than heterosexual women. Services use was more frequent among those of minority sexual orientation. Findings support the existence of sexual orientation differences in patterns of morbidity and treatment use.
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              Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm

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                Author and article information

                Journal
                Addiction
                Addiction
                Wiley
                09652140
                September 2018
                September 2018
                May 27 2018
                : 113
                : 9
                : 1619-1632
                Affiliations
                [1 ]Department of Behavioral and Community Health Sciences, Graduate School of Public Health; University of Pittsburgh; Pittsburgh PA USA
                [2 ]Center for LGBT Health Research, Graduate School of Public Health; University of Pittsburgh; Pittsburgh PA USA
                [3 ]Division of Adolescent and Young Adult Medicine; Children's Hospital of Pittsburgh of UPMC; Pittsburgh PA USA
                [4 ]Clinical and Translational Science Institute, School of Medicine; University of Pittsburgh; Pittsburgh PA USA
                [5 ]Division of Health Promotion and Behavioral Science, Graduate School of Public Health; San Diego State University; San Diego CA USA
                [6 ]Department of Dental Public Health, School of Dental Medicine; University of Pittsburgh; Pittsburgh PA USA
                [7 ]Division of Adolescent and Young Adult Medicine; Boston Children's Hospital; Boston MA USA
                [8 ]Department of Pediatrics; Harvard Medical School; Boston MA USA
                [9 ]Channing Division of Network Medicine; Brigham and Women's Hospital; Boston MA USA
                [10 ]Department of Epidemiology; Harvard T.H. Chan School of Public Health; Boston MA USA
                [11 ]Department of Infectious Diseases and Microbiology, Graduate School of Public Health; University of Pittsburgh; Pittsburgh PA USA
                Article
                10.1111/add.14251
                6667315
                29679419
                7fdca4f7-cc29-4dc1-8edc-20e20a512c16
                © 2018

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

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

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