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      Prevalence and correlates of alcohol and other substance use disorders in young adulthood: A population-based study

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          Abstract

          Background

          Several risk factors for alcohol and other substance use disorders (SUDs) have been identified, but it is not well understood whether their associations with SUD are independent of each other. In particular, it is not well known, whether the associations between behavioral and affective factors and SUDs are independent of other risk factors. The incidence of SUDs peaks by young adulthood making epidemiological studies of SUDs in young adults informative.

          Methods

          In a comprehensive population-based survey of mental health in Finnish young adults (aged 21-35 years, n = 605), structured clinical interview (SCID-I) complemented by medical record data from all lifetime hospital and outpatient treatments were used to diagnose SUDs. We estimated the prevalences of lifetime DSM-IV SUDs, and investigated their associations with correlates from four domains representing: (1) behavioral and affective factors, (2) parental factors, (3) early initiation of substance use, and (4) educational factors. Independence of the association of behavioral and affective factors with SUD was investigated.

          Results

          Lifetime prevalences of abuse or dependence of any substance, alcohol, and any illicit substance were 14.2%, 13.1%, and 4.4%, respectively. Correlates from all four domains were associated with SUD. The associations between behavioral and affective factors (attention or behavior problems at school, aggression, anxiousness) and SUD were largely independent of other correlates, whereas only daily smoking and low education associated with SUD after adjustment for behavioral and affective factors.

          Conclusion

          Alcohol use disorders are common in Finnish young adults, whereas other SUDs are less common than in many other developed countries. Our cross-sectional analyses suggested that the association between behavioral and affective factors and SUD was only partly accounted for by other correlates, such as early initiation of substance use and parental alcohol problems. In contrast, associations between many other factors and SUD were non-significant when adjusted for behavioral and affective factors.

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          Most cited references43

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          Missing data: our view of the state of the art.

          Statistical procedures for missing data have vastly improved, yet misconception and unsound practice still abound. The authors frame the missing-data problem, review methods, offer advice, and raise issues that remain unresolved. They clear up common misunderstandings regarding the missing at random (MAR) concept. They summarize the evidence against older procedures and, with few exceptions, discourage their use. They present, in both technical and practical language, 2 general approaches that come highly recommended: maximum likelihood (ML) and Bayesian multiple imputation (MI). Newer developments are discussed, including some for dealing with missing data that are not MAR. Although not yet in the mainstream, these procedures may eventually extend the ML and MI methods that currently represent the state of the art.
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            Prevalence, correlates, disability, and comorbidity of DSM-IV drug abuse and dependence in the United States: results from the national epidemiologic survey on alcohol and related conditions.

            Current and comprehensive information on the epidemiology of DSM-IV 12-month and lifetime drug use disorders in the United States has not been available. To present detailed information on drug abuse and dependence prevalence, correlates, and comorbidity with other Axis I and II disorders. Face-to-face interviews using the Alcohol Use Disorder and Associated Disabilities Interview Schedule of the National Institute on Alcohol Abuse and Alcoholism in a large representative sample of US adults (N=43093). Twelve-month and lifetime prevalence of drug abuse and dependence and the associated correlates, treatment rates, disability, and comorbidity with other Axis I and II disorders. Prevalences of 12-month and lifetime drug abuse (1.4% and 7.7%, respectively) exceeded rates of drug dependence (0.6% and 2.6%, respectively). Rates of abuse and dependence were generally greater among men, Native Americans, respondents aged 18 to 44 years, those of lower socioeconomic status, those residing in the West, and those who were never married or widowed, separated, or divorced (all P<.05). Associations of drug use disorders with other substance use disorders and antisocial personality disorder were diminished but remained strong when we controlled for psychiatric disorders. Dependence associations with most mood disorders and generalized anxiety disorder also remained significant. Lifetime treatment- or help-seeking behavior was uncommon (8.1%, abuse; 37.9%, dependence) and was not associated with sociodemographic characteristics but was associated with psychiatric comorbidity. Most individuals with drug use disorders have never been treated, and treatment disparities exist among those at high risk, despite substantial disability and comorbidity. Comorbidity of drug use disorders with other substance use disorders and antisocial personality disorder, as well as dependence with mood disorders and generalized anxiety disorder, appears to be due in part to unique factors underlying each pair of these disorders studied. The persistence of low treatment rates despite the availability of effective treatments indicates the need for vigorous educational efforts for the public and professionals.
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              The CAGE questionnaire: validation of a new alcoholism screening instrument.

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                Author and article information

                Journal
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central
                1471-244X
                2009
                19 November 2009
                : 9
                : 73
                Affiliations
                [1 ]Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Mannerheimintie 166, FIN-00300, Helsinki, Finland
                [2 ]Department of Psychology, University of Helsinki, Finland
                [3 ]Department of Child Psychiatry, Hospital for Children and Adolescents, Helsinki University Central Hospital, Finland
                [4 ]Department of Public Health, University of Helsinki, Finland
                [5 ]Welfare and Health Policies Division, National Institute for Health and Welfare, Helsinki, Finland
                [6 ]Department of Psychiatry, University of Helsinki, Finland
                [7 ]Institute for Molecular Medicine Finland FIMM, Helsinki, Finland
                [8 ]Department of Social Psychiatry, Tampere School of Public Health, University of Tampere, Finland
                Article
                1471-244X-9-73
                10.1186/1471-244X-9-73
                2785800
                19925643
                a40654e9-a435-4965-9a86-eff5acd730b9
                Copyright ©2009 Latvala et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 7 May 2009
                : 19 November 2009
                Categories
                Research article

                Clinical Psychology & Psychiatry
                Clinical Psychology & Psychiatry

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