Skip to main content
Published Online:https://doi.org/10.1026/0942-5403/a000152

Essstörungen sind schwerwiegende Erkrankungen, die vorwiegend Jugendliche und junge Erwachsene betreffen. Eine effektive Prävention ist dringend gewünscht. Das individuelle Risiko kann oft nur unscharf eingeschätzt werden. Daher bieten sich gestufte Strategien wie das Internet-vermittelte Programm YoungEs[s]prit an. In der hier vorgestellten prospektiven, randomisiert-kontrollierten Interventionsstudie wurde die Wirksamkeit von YoungEs[s]prit geprüft. In einem adaptiven Design wurde die Studie in zwei Wellen durchgeführt. Hauptzielkriterium war die kumulierte Inzidenzrate (nach DSM-IV Kriterien) in einem 12-Monatszeitraum. Die statistische Prüfung erfolgte mit Hilfe survival-analytischer Methoden. In der 1.Welle (n=896) zeigte sich die präventive Wirksamkeit von YoungEs[s]prit (Log Rank χ2=4,29, df=1, p=0,038, 2-seitig) mit einem hazard ratio von 1,67. Die kumulierte Inzidenzrate der aktiven Kontrollgruppe lag bei 9,6 % verglichen mit 5,9 % in der YoungEs[s]prit Gruppe. In der 2.Welle (n=771) konnten keine Unterschiede zwischen den Gruppen gefunden werden (4,8 % vs. 5,6 %, Logrank χ2=0,27, df=1, p=0,600, 2-seitig). In der Gesamtbewertung wurde der Nachweis für die Wirksamkeit daher nicht erbracht (p1*p2=0,0228 >cα=0,0087). Während die Rate der 1. Welle mit 9,6 % der in der Literatur berichteten Größenordnung von etwa 10 % entsprach, lag die Rate in der 2. Welle mit 4,8 % ungewöhnlich niedrig. Daher wurde exploriert, inwieweit (1) die unterschiedliche Zusammensetzung der Stichproben, z. B. der größere Anteil von Mädchen in der 2. Welle, (2) die größere Nähe zu Einrichtungen der Versorgung in der 2. Welle oder (3) die gestiegene Aufmerksamkeit für Essstörungen durch die 1. Untersuchungswelle zu dieser niedrigen kumulierten Inzidenzrate beigetragen haben könnten.


Efficacy of an Internet-Delivered Tiered Strategy for Eating Disorder Prevention in High School Students

Eating disorders are serious illnesses predominantly affecting adolescents and young adults. Effective prevention is strongly desired. Estimates of the individual risk are often vague. Therefore, stepwise strategies, such as the German Internet-delivered program YoungEs[s]prit, are appealing. The prospective, randomized controlled intervention study presented here investigated the efficacy of YoungEs[s]prit. The study was conducted in two waves applying an adaptive design. The main outcome was the cumulative incidence rate (according to DSM-IV criteria) over 12 months. Efficacy was statistically tested through survival-analytic methods. Results from the first wave (n = 896) proved the preventive efficacy of YoungEs[s]prit (log rank χ2 = 4.29, df = 1, p = .038, 2-sided) with a hazard ratio of 1.67. The cumulative incidence rate of 9.6 % in the control condition was reduced to 5.9 % in the YoungEs[s]prit condition. Results from the second wave (n = 771) could not show any significant differences between the groups (4.8 % vs. 5.6 %, log rank χ2 = 0.27, df = 1, p = .600, 2-sided). Taking the results of the two waves together, as required by the adaptive design, the study did not prove efficacy. While the rate of 9.6 % in the first wave corresponds to the estimate of about 10 % reported in the literature, the rate of 4.8 % appears unusually small. Therefore, it was explored whether (1) differences between the samples, e. g., the greater proportion of girls in the second wave, (2) a shorter distance to health services in the second wave, or (3) the possibly increased awareness of eating disorders through the activities in the first wave may have contributed to the differences between the estimates for the two waves.

Literatur

  • Abascal, L. , Brown, J. B. , Winzelberg, A. J. , Dev, P. & Taylor, C. B. (2004). Combining universal and targeted prevention for school-based eating disorder programs. International Journal of Eating Disorders, 35, 1 – 9. First citation in articleCrossrefGoogle Scholar

  • Agras, W. S. , Crow, S. , Mitchell, J. E. , Halmi, K. A. & Bryson, S. (2009). A 4-year prospective study of eating disorder NOS compared with full eating disorder syndromes. International Journal of Eating Disorders, 42, 565 – 570. First citation in articleCrossrefGoogle Scholar

  • American Psychiatric Association , (1994). Diagnostic and Statistical Manual of mental disorders (4th ed.). Washington, DC: American Psychiatric Association. First citation in articleGoogle Scholar

  • Bauer, P. & Kohne, K. (1994). Evaluation of experiments with adaptive interim analyses. Biometrics, 50, 1029 – 1041. First citation in articleCrossrefGoogle Scholar

  • Bauer, S. , Moessner, M. , Wolf, M. , Haug, S. & Kordy, H. (2009). ES[S]PRIT–An Internet-based programme for the prevention and early intervention of eating disorders in college students. British Journal of Guidance & Counselling, 37, 327 – 336. First citation in articleCrossrefGoogle Scholar

  • Bauer, S. , Winn, S. , Schmidt, U. , Kordy, H. (2005). Construction, scoring and validation of the Short Evaluation of Eating Disorders (SEED). European Eating Disorders Review, 13, 191 – 200. First citation in articleCrossrefGoogle Scholar

  • Berger, U. (2006). Primärprävention bei Essstörungen. Psychotherapeut, 51, 187 – 196. First citation in articleCrossrefGoogle Scholar

  • Berger, U. , Bormann, B. , Brix, C. , Sowa, M. , Strauß, B. (2008). Evaluierte Programme zur Prävention von Essstörungen. Ernährung-Wissenschaft und Praxis, 2, 159 – 168. First citation in articleCrossrefGoogle Scholar

  • Button, E. J. , Chadalavada, B. & Palmer, R. L. (2010). Mortality and predictors of death in a cohort of patients presenting to an eating disorders service. International Journal of Eating Disorders, 43, 387 – 392. First citation in articleGoogle Scholar

  • BZgA. (2007). BZgA-Essstörungen. Zugriff am 25. 08. 2007. Verfügbar unter: www.bzga-essstoerungen.de/ . First citation in articleGoogle Scholar

  • Garner, D. M. , Olmsted, M. P. , Bohr, Y. & Garfinkel, P. E. (1982). The Eating Attitudes Test: psychometric features and clinical correlates. Psychological Medicine, 12, 871 – 878. First citation in articleCrossrefGoogle Scholar

  • Jacobi, C. , Abascal, L. , Taylor, C. B. (2004). Screening for Eating Disorders and High-Risk Behavior: Caution. International Journal of Eating Disorders, 36, 280 – 295. First citation in articleCrossrefGoogle Scholar

  • Keller, M. B. , Lavori, P. W. , Friedman, B. , Nielsen, E. , Endicott, J. , McDonald-Scott, P. et al. (1987). The Longitudinal Interval Follow-up Evaluation: a comprehensive method for assessing outcome in prospective longitudinal studies. Archives of General Psychiatry, 44, 540 – 548. First citation in articleCrossrefGoogle Scholar

  • Killen, J. D. , Taylor, C. B. , Hayward, C. , Wilson, D. M. , Haydel, K. F. , Hammer, L. D. et al. (1994). Pursuit of thinness and onset of eating disorder symptoms in a community sample of adolescent girls: A three-year prospective analysis. International Journal of Eating Disorders, 16, 227 – 238. First citation in articleCrossrefGoogle Scholar

  • Lawn, S. , Battersby, M. W. , Pols, R. G. , Lawrence, J. , Parry, T. & Urukalo, M. (2007). The mental health expert patient: Findings from a pilot study of a Generic Chronic Condition Self-Management Programme for People with Mental Illness. International Journal of Social Psychiatry, 53, 63 – 74. First citation in articleCrossrefGoogle Scholar

  • Lehmacher, W. & Wassmer, G. (1999). Adaptive sample size calculations in group sequential trials. Biometrics, 55, 1286 – 1290. First citation in articleCrossrefGoogle Scholar

  • Lindenberg, K. (2012). Gestufte Prävention von Essstörungen mit YoungEs[s]prit-Wirksamkeit eines Internet-vermittelten Präventionsprogramms bei Schülern (Dissertation), Ruprecht-Karls Universität Heidelberg. www.ub.uni-heidelberg.de/archiv/13048 . First citation in articleGoogle Scholar

  • Lindenberg, K. , Moessner, M. , Harney, J. , McLaughlin, O. & Bauer, S. (2011). E-Health for Individualized Prevention of Eating Disorders. Clinical Practice and Epidemiology in Mental Health, 7, 74 – 83. First citation in articleCrossrefGoogle Scholar

  • Luce, K. H. , Osborne, M. I. , Winzelberg, A. J. , Das, S. , Abascal, L. B. , Celio, A. A. et al. (2005). Application of an algorithm-driven protocol to simultaneously provide universal and targeted prevention programs. International Journal of Eating Disorders, 37, 220 – 226. First citation in articleCrossrefGoogle Scholar

  • Mitchell, J. E. , Myers, T. , Crosby, R. , O’Neill, G. , Carlisle, J. & Gerlach, S. (2009). Health care utilization in patients with eating disorders. International Journal of Eating Disorders, 42, 571 – 574. First citation in articleCrossrefGoogle Scholar

  • Neumark-Sztainer, D. , Levine, M. P. , Paxton, S. J. , Smolak, L. , Piran, N. & Wertheim, E. H. (2006). Prevention of body dissatisfaction and disordered eating: What next? Eating Disorders, 14, 265 – 285. First citation in articleCrossrefGoogle Scholar

  • Petermann, F. (2003). Prävention von Verhaltensstörungen–Einführung in den Themenschwerpunkt. Kindheit und Entwicklung, 12, 65 – 70. First citation in articleLinkGoogle Scholar

  • Petermann, U. & Petermann, F. (2011). Prävention. Kindheit und Entwicklung, 20, 197 – 200. First citation in articleLinkGoogle Scholar

  • Raffle, A. & Gray, J. A. M. (2009). Screening. Durchführung und Nutzen von Vorsorgeuntersuchungen. Bern: Huber. First citation in articleGoogle Scholar

  • Richard, M. , Bauer, S. & Kordy, H. (2005). Relapse in anorexia and bulimia nervosa–A 2.5-year follow-up study. European Eating Disorders Review, 13, 180 – 190. First citation in articleCrossrefGoogle Scholar

  • Schmidt, U. , Lee, S. , Perkins, S. , Eisler, I. , Treasure, J. , Beecham et al. (2008). Do adolescents with eating disorder not otherwise specified or full-syndrome bulimia nervosa differ in clinical severity, comorbidity, risk factors, treatment outcome or cost? International Journal of Eating Disorders, 41, 498 – 504. First citation in articleCrossrefGoogle Scholar

  • Singer, J. D. & Willett, J. B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. New York, NY: Oxford University Press. First citation in articleCrossrefGoogle Scholar

  • Stewart, M.-C. , Keel, P. K. , Schiavo, R. S. (2006). Stigmatization of anorexia nervosa. International Journal of Eating Disorders, 39, 320 – 325. First citation in articleCrossrefGoogle Scholar

  • Stice, E. , Marti, C. N. , Shaw, H. & Jaconis, M. (2009). An 8-year longitudinal study of the natural history of threshold, subthreshold, and partial eating disorders from a community sample of adolescents. Journal of Abnormal Psychology, 118, 587 – 597. First citation in articleCrossrefGoogle Scholar

  • Stice, E. , Marti, C. N. , Spoor, S. , Presnell, K. & Shaw, H. (2008). Dissonance and healthy weight eating disorder prevention programs: Long-term effects from a randomized efficacy trial. Journal of Consulting and Clinical Psychology, 76, 329 – 340. First citation in articleCrossrefGoogle Scholar

  • Stice, E. & Shaw, H. (2004). Eating disorder prevention programs: A meta-analytic review. Psychological Bulletin, 130, 206 – 227. First citation in articleCrossrefGoogle Scholar

  • Taylor, C. B. , Bryson, S. , Luce, K. H. , Cunning, D. , Doyle, A. C. , Abascal, L. B. et al. (2006). Prevention of eating disorders in at-risk college-age women. Archives of General Psychiatry, 63, 881. First citation in articleCrossrefGoogle Scholar