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Originalarbeit

Erfassung des riskanten Alkoholkonsums bei Studierenden deutscher Hochschulen

Analysen zur Kriteriumsvalidität und zur Optimierung der Cut-Off-Werte des Alcohol Use Disorders Identification Test(–Consumption)

Published Online:https://doi.org/10.1026/1616-3443/a000432

Zusammenfassung.Theoretischer Hintergrund: Der Alcohol Use Disorders Identification Test (AUDIT) und die Kurzform AUDIT-C sind etablierte Screeninginstrumente, u. a. zur Erkennung des riskanten Alkoholkonsums. Fragestellung: Validierung und Bestimmung der Cut-Off-Werte beider Screenings für Studierende deutscher Hochschulen. Methode: Auf Basis zweier Querschnittsanalysen (1. Hochschule für angewandte Wissenschaften; n = 490, 60 % männlich; 2. drei Universitäten; n = 1456, 47 % männlich) erfolgten die Analysen anhand des, mittels Mengen-Frequenz-Indizes erhobenen, externen Kriteriums von > 60 bzw. > 120 Gramm Reinalkohol pro Woche (Frauen / Männer) bzw. eines praktizierten Rauschtrinkens. Zusätzlich erfolgte eine Erfassung Alkohol-assoziierter Probleme. Ergebnisse: Die Verbreitung des riskanten Alkoholkonsums im letzten Monat betrug 53 % bzw. 56 % und war mit signifikant mehr alkoholbedingten Problemen assoziiert. Die Testgüte beider Screenings war gut bis exzellent. Die optimalen Cut-Off-Werte betrugen für den AUDIT ≥ 5 Punkte, für den AUDIT-C ≥ 4 Punkte bzw. jeweils ≥ 4 bei Frauen und ≥ 5 bei Männern. Schlussfolgerungen: Aufgrund seiner Kürze kann insbesondere der AUDIT-C als valides und ökonomisches Screeninginstrument des riskanten Alkoholkonsums bei Studierenden empfohlen werden.


Screening for Hazardous Drinking Among German University Students: Criterion Validity and Cut-Off Scores for the Alcohol Use Disorders Identification Test–Consumption

Abstract.Background: The Alcohol Use Disorders Identification Test (AUDIT) and the short version AUDIT-C are established instruments in screening for hazardous drinking. Objective: The aim of this study was the validation and evaluation of cut-off-values in student samples of German universities. Method: Analyses were based on samples of one university of applied sciences (n = 490, 60 % male) and three universities (n = 1,456, 47 % male). The external criterion of > 60 or > 120 g ethanol (women / men, respectively) and > 0 risky single-occasion drinking were measured using an adaptation of the Daily Drinking Questionnaire. Additionally, alcohol-related problems were assessed. Results: The prevalence of hazardous drinking during the last month was 53 % and 56 %, respectively, and was associated with significantly more alcohol-related problems. The quality in the detection of hazardous drinking of both screenings was good to excellent. Overall, the best AUDIT cut-off was ≥ 5 points, the AUDIT-C cut-off ≥ 4 points, and in each case ≥ 4 for women and ≥ 5 for men. Conclusion: According to its characteristics, the AUDIT-C can be recommended as short and valid screening for hazardous drinking in students of German universities.

Literatur

  • Akmatov, M. K., Mikolajczyk, R. T., Meier, S. & Krämer, A. (2011). Alcohol consumption among university students in North Rhine-Westphalia, Germany – Results from a multicenter cross-sectional study. Journal of American College Health, 59, 620 – 626. First citation in articleCrossrefGoogle Scholar

  • Arnaud, N., Diestelkamp, S., Wartberg, L., Sack, P. M., Daubmann, A. & Thomasius, R. (2016). Short- to midterm effectiveness of a brief motivational intervention to reduce alcohol use and related problems for alcohol intoxicated children and adolescents in pediatric emergency departments: A randomized controlled trial. Academic Emergency Medicine, 24, 186 – 200. First citation in articleCrossrefGoogle Scholar

  • Arnett, J. J. (2005). The Developmental Context of Substance Use in Emerging Adulthood. Journal of Drug Issues, 35, 235 – 253. First citation in articleCrossrefGoogle Scholar

  • Babor, T. F., Higgins-Biddle, J. C., Saunders, J. B. & Monteiro, M. G. (2001). AUDIT. The Alcohol Use Disorders Identification Test. Genf, CH: WHO. First citation in articleGoogle Scholar

  • Bailer, J., Stübinger, C., Dressing, H., Gass, P., Rist, F. & Kühner, C. (2009). Zur erhöhten Prävalenz des problematischen Alkoholkonsums bei Studierenden. Psychotherapie Psychosomatik Medizinische Psychologie, 59, 376 – 379. First citation in articleCrossrefGoogle Scholar

  • Berner, M. M., Kriston, L., Bentele, M. & Härter, M. (2007). The Alcohol Use Disorders Identification Test for detecting at-risk drinking: A systematic review and meta-analysis. Journal of Studies on Alcohol and Drugs, 68, 461 – 473. First citation in articleCrossrefGoogle Scholar

  • Bloomfield, K., Hope, A. & Kraus, L. (2013). Alcohol survey measures for Europe: A literature review. Drugs: Education, Prevention and Policy, 20, 348 – 360. First citation in articleCrossrefGoogle Scholar

  • Bonse-Rohmann, M., Heidenreich, T., Kaba-Schönstein, L. & Mezger, T. (2014). Gesundheitliche Situation und Gesundheitsverhalten von Studierenden. Prävention und Gesundheitsförderung, 9, 281 – 286. First citation in articleCrossrefGoogle Scholar

  • Bühler, A. & Thrul, J. (2013). Forschung und Praxis der Gesundheitsförderung, Expertise zur Suchtprävention (Band 46). Köln: BZgA. First citation in articleGoogle Scholar

  • Bush, K., Kivlahan, D. R., McDonell, M. B., Fihn, S. D. & Bradley, K. A. (1998). The AUDIT Alcohol Consumption Questions (AUDIT–C). An effective brief screening test for problem drinking. Archives of Internal Medicine, 3, 1789 – 1795. First citation in articleCrossrefGoogle Scholar

  • Dawson, D. A. (2003). Methodological issues in measuring alcohol use. Alcohol Research & Health, 27 (1), 18 – 29. First citation in articleGoogle Scholar

  • Dawson, D. A. (2011). Defining risk drinking. Alcohol Research & Health, 34 (2), 144 – 156. First citation in articleGoogle Scholar

  • Dawson, D. A., Smith, S. M., Saha, T. D., Rubinsky, A. D. & Grant, B. F. (2012). Comparative performance of the AUDIT-C in screening for DSM-IV and DSM-5 alcohol use disorders. Drug and Alcohol Dependence, 126, 384 – 388. First citation in articleCrossrefGoogle Scholar

  • Del Boca, F. K. & Darkes, J. (2003). The validity of self-reports of alcohol consumption: State of the science and challenges for research. Addiction, 98, 1 – 12. First citation in articleCrossrefGoogle Scholar

  • Del Boca, F. K., Darkes, J., Greenbaum, P. E. & Goldman, M. S. (2004). Up close and personal: Temporal variability in the drinking of individual college students during their first year. Journal of Consulting and Clinical Psychology, 72, 155 – 164. First citation in articleCrossrefGoogle Scholar

  • DeLong, E. R., DeLong, D. M. & Clarke-Pearson, D. L. (1988). Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics, 44, 837 – 845. First citation in articleCrossrefGoogle Scholar

  • DeMartini, K. S. & Carey, K. B. (2012). Optimizing the use of the AUDIT for alcohol screening in college students. Psychological Assessment, 24, 954 – 963 First citation in articleCrossrefGoogle Scholar

  • Dimeff, L. A., Baer, J. S., Kivlahan, D. R. & Marlatt, G. A. (1999). Brief Alcohol Screening and Intervention for College Students (BASICS). New York, NY: Guilford Press. First citation in articleGoogle Scholar

  • Dybek, I. (2008). Screening-Verfahren zur Entdeckung alkoholbezogener Störungen in Allgemeinarztpraxen. Reliabilität und Validität des AUDIT, AUDIT-C und LAST. Dissertation, Universität zu Lübeck, Lübeck. Zugriff am 05. 10. 2017. Verfügbar unter http://www.d-nb.info First citation in articleGoogle Scholar

  • Dybek, I., Bischof, G., Grothues, J., Reinhardt, S., Meyer, C. & Hapke, U. (2006). The reliability and validity of the Alcohol Use Disorders Identification Test (AUDIT) in a German general practice population sample. Journal of Studies on Alcohol, 67, 473 – 481. First citation in articleCrossrefGoogle Scholar

  • Earleywine, M., LaBrie, J. W. & Pedersen, E. R. (2008). A Brief Rutgers Alcohol Problem Index with less potential for bias. Addictive Behaviors, 33, 1249 – 1253. First citation in articleCrossrefGoogle Scholar

  • Effertz, T., Verheyen, F. & Linder, R. (2016). The cost of hazardous alcohol consumption in Germany. The European Journal of Health Economics, 18, 703 – 713. 10.1007/s10198-016-0822-1 First citation in articleCrossrefGoogle Scholar

  • Falkai, P. & Wittchen, H.-U. (Hrsg.). (2015). Diagnostisches und Statistisches Manual Psychischer Störungen DSM-5. Göttingen: Hogrefe. First citation in articleGoogle Scholar

  • Fluss, R., Faraggi, D. & Reiser, B. (2005). Estimation of the Youden Index and its associated cutoff point. Biometrical Journal, 47, 458 – 472. First citation in articleCrossrefGoogle Scholar

  • Ganz, T., Braun, M., Laging, M., Schermelleh-Engel, K., Michalak, J. & Heidenreich, T. (2018). Effects of a stand-alone web-based electronic screening and brief intervention targeting alcohol use in university students of legal drinking age: A randomized controlled trial. Addictive Behaviors, 77, 81 – 88. First citation in articleCrossrefGoogle Scholar

  • Gmel, G., Kuntsche, E. & Rehm, J. (2011). Risky single-occasion drinking: Bingeing is not bingeing. Addiction, 106, 1037 – 1045. First citation in articleCrossrefGoogle Scholar

  • Gruenewald, P. J. & Treno, A. (2006). Understanding the prevention paradox: Drinkers and drinking. A comment on Skog (2006). Addiction, 101, 159 – 165. First citation in articleGoogle Scholar

  • Hagman, B. T. (2016). Performance of the AUDIT in detecting DSM-5 alcohol use disorders in college students. Substance Use & Misuse, 51, 1521 – 1528. First citation in articleCrossrefGoogle Scholar

  • International Alliance for Responsible Drinking (IARD). (2017). Policy review. National drinking guidelines. Retrieved October 5, 2017, from http://www.iard.org First citation in articleGoogle Scholar

  • Klein, M., Hörning, M., Krapohl, L., Lammel, U. & Pauly, A. (2004). Suchtprobleme bei Studierenden an deutschen Hochschulen. Abschlussbericht zum Forschungsprojekt im Auftrag des Bundesministeriums für Bildung und Forschung. Köln: KatHO NRW. First citation in articleGoogle Scholar

  • Kokotailo, P. K., Egan, J., Gangnon, R., Brown, D., Mundt, M. & Fleming, M. (2004). Validity of the Alcohol Use Disorders Identification Test in college students. Alcoholism: Clinical and Experimental Research, 28, 914 – 920. First citation in articleCrossrefGoogle Scholar

  • Laucht, M., Blomeyer, D. & Buchmann, A. (2011). Alkohol und Tabak in der Adoleszenz. In M. V. SingerA. BatraK. MannHrsg., Alkohol und Tabak. Grundlagen und Folgeerkrankungen (S. 433 – 441). Stuttgart: Thieme. First citation in articleGoogle Scholar

  • Lee, M. R., Chassin, L. & Villalta, I. K. (2013). Maturing Out of Alcohol Involvement: Transitions in Latent Drinking Statuses from Late Adolescence to Adulthood. Development and Psychopathology, 25, 1137 – 1153. First citation in articleCrossrefGoogle Scholar

  • Lienert, G. A. & Raatz, U. (1998). Testaufbau und Testanalyse (6. Aufl.). Weinheim: Psychologie Verlags Union. First citation in articleGoogle Scholar

  • Mann, K., Hoch, E. & Batra, A. (Hrsg.). (2016). S3-Leitlinie Screening, Diagnostik und Behandlung alkoholbezogener Störungen. Berlin, Heidelberg: Springer. First citation in articleCrossrefGoogle Scholar

  • Middendorff, E., Poskowsky, J. & Becker, K. (2015). Formen der Stresskompensation und Leistungssteigerung bei Studierenden. Hannover: DZHW. First citation in articleGoogle Scholar

  • Neumann, T., Neuner, B., Gentilello, L. M., Weiss-Gerlach, E., Mentz, H. & Rettig, J. S., et al. (2004). Gender differences in the performance of a computerized version of the Alcohol Use Disorders Identification Test in subcritically injured patients who are admitted to the emergency department. Alcoholism: Clinical and Experimental Research, 28, 1693 – 1701. First citation in articleCrossrefGoogle Scholar

  • Orth, B. (2016). Die Drogenaffinität Jugendlicher in der Bundesrepublik Deutschland 2015. Rauchen, Alkoholkonsum und Konsum illegaler Drogen: aktuelle Verbreitung und Trends. Köln: BZgA. First citation in articleGoogle Scholar

  • Pabst, A., Baumeister, S. E. & Kraus, L. (2010). Alcohol-Expectancy Dimensions and Alcohol Consumption at Different Ages in the General Population. Journal of Studies on Alcohol and Drugs, 71 (1), 46 – 53. First citation in articleCrossrefGoogle Scholar

  • Rehm, J., Baliunas, D., Borges, G. L. G., Graham, K., Irving, H. & Kehoe, T., et al. (2010). The relation between different dimensions of alcohol consumption and burden of disease: an overview. Addiction, 105, 817 – 843. First citation in articleCrossrefGoogle Scholar

  • Rehm, J., Rehn, N., Room, R., Monteiro, M., Gmel, G., Jernigan, D. & Frick, U. (2003). The global distribution of average volume of alcohol consumption and patterns of drinking. European Addiction Research, 9, 147 – 156. First citation in articleCrossrefGoogle Scholar

  • Rehm, J., Zatonski, W., Taylor, B. & Anderson, P. (2011). Epidemiology and alcohol policy in Europe. Addiction, 106 (s1), 11 – 19. First citation in articleCrossrefGoogle Scholar

  • Reinert, D. F. & Allen, J. P. (2007). The Alcohol Use Disorders Identification Test: An update of research findings. Alcoholism: Clinical and Experimental Research, 31, 185 – 199. First citation in articleCrossrefGoogle Scholar

  • Rist, F., Glöckner-Rist, A. & Demmel, R. (2009). The Alcohol Use Disorders Identification Test revisited: Establishing its structure using nonlinear factor analysis and identifying subgroups of respondents using latent class factor analysis. Drug and Alcohol Dependence, 100, 71 – 82. First citation in articleCrossrefGoogle Scholar

  • Rumbold, J. M. (2017). The effect of the general data protection regulation on medical research. Journal of Medical Internet Research, 19 (2), e47. First citation in articleCrossrefGoogle Scholar

  • Rumpf, H.-J., Hapke, U., Meyer, C. & John, U. (2002). Screening for alcohol use disorders and at-risk drinking in the general population: Psychometric performance of three questionnaires. Alcohol & Alcoholism, 37, 261 – 268. First citation in articleCrossrefGoogle Scholar

  • Seitz, H. & Bühringer, G. (2010). Empfehlungen des wissenschaftlichen Kuratoriums der DHS zu Grenzwerten für den Konsum alkoholischer Getränke (DHS Stellungnahmen, Juli 2010). Zugriff am 05. 10. 2017. Verfügbar unter http://www.dhs.de First citation in articleGoogle Scholar

  • Skog, O.-J. (2006). Alcohol and the so-called prevention paradox: how does it look today? Addiction, 101, 155 – 158. First citation in articleCrossrefGoogle Scholar

  • White, A. & Hingson, R. (2013). The burden of alcohol use. Alcohol Research: Current Reviews, 35, 201 – 218. First citation in articleGoogle Scholar

  • White, H. R. & Labouvie, E. W.(n.d.). Rutgers Alcohol Problem Index RAPI. Retrieved October 5, 2017 from http://research.alcoholstudies.rutgers.edu/rapi First citation in articleGoogle Scholar

  • Wicki, M., Kuntsche, E. & Gmel, G. (2010). Drinking at European universities? A review of students‘ alcohol use. Addictive Behaviors, 35, 913 – 924. First citation in articleCrossrefGoogle Scholar