Sonstiges: |
- Nachgewiesen in: MEDLINE
- Sprachen: English
- Publication Type: Journal Article; Systematic Review; Review
- Language: English
- [Int J Eat Disord] 2024 May; Vol. 57 (5), pp. 1034-1048. <i>Date of Electronic Publication: </i>2023 Oct 27.
- MeSH Terms: Feeding and Eating Disorders* / therapy ; Humans
- References: Aardoom, J. J., Dingemans, A. E., Fokkema, M., Spinhoven, P., & van Furth, E. F. (2017). Moderators of change in an internet‐based intervention for eating disorders with different levels of therapist support: What works for whom? Behaviour Research and Therapy, 89, 66–74. https://doi.org/10.1016/j.brat.2016.11.012. ; Aardoom, J. J., Dingemans, A. E., Spinhoven, P., & Furth, E. F. (2013). Treating eating disorders over the internet: A systematic review and future research directions. International Journal of Eating Disorders, 46(6), 539–552. https://doi.org/10.1002/eat.22135. ; Ali, K., Fassnacht, D. B., Farrer, L. M., Rieger, E., Moessner, M., Bauer, S., & Griffiths, K. M. (2022). Recruitment, adherence and attrition challenges in internet‐based indicated prevention programs for eating disorders: Lessons learned from a randomised controlled trial of ProYouth OZ. Journal of Eating Disorders, 10(1), 1. https://doi.org/10.1186/s40337-021-00520-7. ; Arnold, C., Villagonzalo, K.‐A., Meyer, D., Farhall, J., Foley, F., Kyrios, M., & Thomas, N. (2019). Predicting engagement with an online psychosocial intervention for psychosis: Exploring individual‐and intervention‐level predictors. Internet Interventions, 18, 100266. https://doi.org/10.1016/j.invent.2019.100266. ; Bandura, A. (1977). Self‐efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191. ; Bara‐Carril, N., Williams, C. J., Pombo‐Carril, M. G., Reid, Y., Murray, K., Aubin, S., Harkin, P. J., Treasure, J., & Schmidt, U. (2004). A preliminary investigation into the feasibility and efficacy of a CD‐ROM‐based cognitive‐behavioral self‐help intervention for bulimia nervosa. International Journal of Eating Disorders, 35(4), 538–548. https://doi.org/10.1002/eat.10267. ; Bardone‐Cone, A. M., Harney, M. B., Maldonado, C. R., Lawson, M. A., Robinson, D. P., Smith, R., & Tosh, A. (2010). Defining recovery from an eating disorder: Conceptualization, validation, and examination of psychosocial functioning and psychiatric comorbidity. Behaviour Research and Therapy, 48(3), 194–202. https://doi.org/10.1016/j.brat.2009.11.001. ; Bauer, S., Bilić, S., Ozer, F., & Moessner, M. (2020). Dissemination of an internet‐based program for the prevention and early intervention in eating disorders. Zeitschrift fur Kinder‐ und Jugendpsychiatrie und Psychotherapie, 48(1), 25–32. https://doi.org/10.1024/1422-4917/a000662. ; Beintner, I., Emmerich, O. L. M., Vollert, B., Taylor, C. B., & Jacobi, C. (2019). Promoting positive body image and intuitive eating in women with overweight and obesity via an online intervention: Results from a pilot feasibility study. Eating Behaviors, 34, 101307. https://doi.org/10.1016/j.eatbeh.2019.101307. ; Beintner, I., Vollert, B., Zarski, A., Bolinski, F., Musiat, P., Görlich, D., Ebert, D. D., & Jacobi, C. (2019). Adherence reporting in randomized controlled trials examining manualized multisession online interventions: Systematic review of practices and proposal for reporting standards. Journal of Medical Internet Research, 21(8), e14181. https://doi.org/10.2196/14181. ; Brown, L. A., Wiley, J. F., Wolitzky‐Taylor, K., Roy‐Byrne, P., Sherbourne, C., Stein, M. B., Sullivan, G., Rose, R. D., Bystritsky, A., & Craske, M. G. (2014). Changes in self‐efficacy and outcome expectancy as predictors of anxiety outcomes from the calm study. Depression and Anxiety, 31(8), 678–689. https://doi.org/10.1002/da.22256. ; Brownley, K. A., Berkman, N. D., Peat, C. M., Lohr, K. N., Cullen, K. E., Bann, C. M., & Bulik, C. M. (2016). Binge‐eating disorder in adults: A systematic review and meta‐analysis. Annals of Internal Medicine, 165(6), 409–420. https://doi.org/10.7326/M15-2455. ; Carrard, I., Fernandez‐Aranda, F., Lam, T., Nevonen, L., Liwowsky, I., Volkart, A. C., Rouget, P., Golay, A., van der Linden, M., & Norring, C. (2010). Evaluation of a guided internet self‐treatment programme for bulimia nervosa in several European countries. European Eating Disorders Review, 19(2), 138–149. https://doi.org/10.1002/erv.1043. ; Celio, A. A., Winzelberg, A. J., Dev, P., & Taylor, C. B. (2002). Improving compliance in on‐line, structured self‐help programs: Evaluation of an eating disorder prevention program. Journal of Psychiatric Practice, 8(1), 14–20. https://doi.org/10.1002/central/CN-00713283/full. ; Chekroud, A. M., Zotti, R. J., Shehzad, Z., Gueorguieva, R., Johnson, M. K., Trivedi, M. H., Cannon, T. D., Krystal, J. H., & Corlett, P. R. (2016). Cross‐trial prediction of treatment outcome in depression: A machine learning approach. The Lancet Psychiatry, 3(3), 243–250. https://doi.org/10.1016/S2215-0366(15)00471-X. ; Cheng, Z. H., Perko, V. L., Fuller‐Marashi, L., Gau, J. M., & Stice, E. (2019). Ethnic differences in eating disorder prevalence, risk factors, and predictive effects of risk factors among young women. Eating Behaviors, 32, 23–30. https://doi.org/10.1016/j.eatbeh.2018.11.004. ; Couturier, J., Kimber, M., & Szatmari, P. (2013). Efficacy of family‐based treatment for adolescents with eating disorders: A systematic review and meta‐analysis. International Journal of Eating Disorders, 46(1), 3–11. https://doi.org/10.1002/eat.22042. ; Donkin, L., Christensen, H., Naismith, S. L., Neal, B., Hickie, I. B., & Glozier, N. (2011). A systematic review of the impact of adherence on the effectiveness of e‐therapies. Journal of Medical Internet Research, 13(3), 52. https://doi.org/10.2196/jmir.1772. ; Fairburn, C. G. (2008). Cognitive behavior therapy and eating disorders. Guilford Press. ; Fardouly, J., Crosby, R. D., & Sukunesan, S. (2022). Potential benefits and limitations of machine learning in the field of eating disorders: Current research and future directions. Journal of Eating Disorders, 10(1), 66. https://doi.org/10.1186/s40337-022-00581-2. ; Fitzsimmons‐Craft, E. E., Chan, W. W., Smith, A. C., Firebaugh, M. L., Fowler, L. A., Topooco, N., DePietro, B., Wilfley, D. E., Taylor, C. B., & Jacobson, N. C. (2022). Effectiveness of a chatbot for eating disorders prevention: A randomized clinical trial. International Journal of Eating Disorders, 55(3), 343–353. https://doi.org/10.1002/eat.23662. ; Fitzsimmons‐Craft, E. E., Firebaugh, M.‐L., Graham, A. K., Eichen, D. M., Monterubio, G. E., Balantekin, K. N., Karam, A. M., Seal, A., Funk, B., & Taylor, C. B. (2019). State‐wide university implementation of an online platform for eating disorders screening and intervention. Psychological Services, 16(2), 239–249. https://doi.org/10.1037/ser0000264. ; Fitzsimmons‐Craft, E. E., Taylor, C. B., Graham, A. K., Sadeh‐Sharvit, S., Balantekin, K. N., Eichen, D. M., Monterubio, G. E., Goel, N. J., Flatt, R. E., Karam, A. M., Firebaugh, M. L., Jacobi, C., Jo, B., Trockel, M. T., & Wilfley, D. E. (2020). Effectiveness of a digital cognitive behavior therapy‐guided self‐help intervention for eating disorders in college women: A cluster randomized clinical trial. JAMA Network Open, 3(8), e2015633. https://doi.org/10.1001/jamanetworkopen.2020.15633. ; Flatt, R. E., Thornton, L. M., Smith, T., Mitchell, H., Argue, S., Baucom, B. R. W., Deboeck, P. R., Adamo, C., Kilshaw, R. E., Shi, Q., Tregarthen, J., Butner, J. E., & Bulik, C. M. (2022). Retention, engagement, and binge‐eating outcomes: Evaluating feasibility of the Binge‐Eating Genetics Initiative study. International Journal of Eating Disorders, 55(8), 1031–1041. https://doi.org/10.1002/eat.23726. ; Franko, D. L., Mintz, L. B., Villapiano, M., Green, T. C., Mainelli, D., Folensbee, L., Butler, S. F., Davidson, M. M., Hamilton, E., Little, D., Kearns, M., & Budman, S. H. (2005). Food, mood, and attitude: Reducing risk for eating disorders in college women. Health Psychology, 24(6), 567–578. https://doi.org/10.1037/0278-6133.24.6.567. ; Fuller‐Tyszkiewicz, M., Richardson, B., Lewis, V., Linardon, J., Mills, J., Juknaitis, K., Lewis, C., Coulson, K., O'Donnell, R., Arulkadacham, L., Ware, A., & Krug, I. (2019). A randomized trial exploring mindfulness and gratitude exercises as eHealth‐based micro‐interventions for improving body satisfaction. Computers in Human Behavior, 95, 58–65. https://doi.org/10.1016/j.chb.2019.01.028. ; Garrido, S., Millington, C., Cheers, D., Boydell, K., Schubert, E., Meade, T., & Nguyen, Q. V. (2019). What works and what doesn't work? A systematic review of digital mental health interventions for depression and anxiety in young people. Frontiers in Psychiatry, 10, 759. https://doi.org/10.3389/fpsyt.2019.00759. ; Graham, A. K., Fitzsimmons‐Craft, E. E., Sadeh‐Sharvit, S., Balantekin, K. N., Eichen, D. M., Firebaugh, M.‐L., Goel, N. J., Monterubio, G. E., Karam, A. M., & Flatt, R. E. (2023). Moderators and mediators of a digital cognitive behavior therapy‐guided self‐help intervention for eating disorders: Informing future design efforts. Journal of Consulting and Clinical Psychology, 91(5), 280–284. https://doi.org/10.1037/ccp0000786. ; Jacobi, C., Volker, U., Trockel, M. T., & Taylor, C. B. (2012). Effects of an internet‐based intervention for subthreshold eating disorders: A randomized controlled trial. Behaviour Research and Therapy, 50(2), 93–99. https://doi.org/10.1016/j.brat.2011.09.013. ; Karekla, M., Nikolaou, P., & Merwin, R. M. (2022). Randomized clinical trial evaluating AcceptME—A digital gamified acceptance and commitment early intervention program for individuals at high risk for eating disorders. Journal of Clinical Medicine, 11(7), 1775. https://doi.org/10.3390/jcm11071775. ; Karyotaki, E., Kleiboer, A., Smit, F., Turner, D. T., Pastor, A. M., Andersson, G., Berger, T., Botella, C., Breton, J., & Carlbring, P. (2015). Predictors of treatment dropout in self‐guided web‐based interventions for depression: An ‘individual patient data’ meta‐analysis. Psychological Medicine, 45(13), 2717–2726. https://doi.org/10.1017/S0033291715000665. ; Kass, A. E., Trockel, M., Safer, D. L., Sinton, M. M., Cunning, D., Rizk, M. T., Genkin, B. H., Weisman, H. L., Bailey, J. O., Jacobi, C., Wilfley, D. E., & Taylor, C. B. (2014). Internet‐based preventive intervention for reducing eating disorder risk: A randomized controlled trial comparing guided with unguided self‐help. Behaviour Research and Therapy, 63, 90–98. https://doi.org/10.1016/j.brat.2014.09.010. ; Kazantzis, N., Whittington, C., Zelencich, L., Kyrios, M., Norton, P. J., & Hofmann, S. G. (2016). Quantity and quality of homework compliance: A meta‐analysis of relations with outcome in cognitive behavior therapy. Behavior Therapy, 47(5), 755–772. https://doi.org/10.1016/j.beth.2016.05.002. ; Kazdin, A. E. (2007). Mediators and mechanisms of change in psychotherapy research. Annual Review of Clinical Psychology, 3, 1–27. https://doi.org/10.1146/annurev.clinpsy.3.022806.091432. ; Kazdin, A. E., Fitzsimmons‐Craft, E. E., & Wilfley, D. E. (2017). Addressing critical gaps in the treatment of eating disorders. International Journal of Eating Disorders, 50(3), 170–189. https://doi.org/10.1002/eat.22670. ; Kim, J. P., Sadeh‐Sharvit, S., Welch, H. A., Neri, E., Tregarthen, J., & Lock, J. (2021). Eating disorders early app use mediates treatment effect on clinical improvement. International Journal of Eating Disorders, 55(3), 382–387. https://doi.org/10.1002/eat.23652. ; Kindermann, S., Moessner, M., Ozer, F., & Bauer, S. (2017). Associations between eating disorder related symptoms and participants’ utilization of an individualized Internet‐based prevention and early intervention program. International Journal of Eating Disorders, 50(10), 1215–1221. https://doi.org/10.1002/eat.22774. ; Kraemer, H. C. (2016). Messages for clinicians: Moderators and mediators of treatment outcome in randomized clinical trials. American Journal of Psychiatry, 173(7), 672–679. https://doi.org/10.1176/appi.ajp.2016.15101333. ; Kraemer, H. C., Neri, E., & Spiegel, D. (2020). Wrangling with p‐values versus effect sizes to improve medical decision‐making: A tutorial. International Journal of Eating Disorders, 53(2), 302–308. https://doi.org/10.1002/eat.23216. ; Kraemer, H. C., Wilson, G. T., Fairburn, C. G., & Agras, W. S. (2002). Mediators and moderators of treatment effects in randomized clinical trials. Archives of General Psychiatry, 59(10), 877–883. https://doi.org/10.1001/archpsyc.59.10.877. ; Le, L. K.‐D., Barendregt, J. J., Hay, P., & Mihalopoulos, C. (2017). Prevention of eating disorders: A systematic review and meta‐analysis. Clinical Psychology Review, 53, 46–58. https://doi.org/10.1016/j.cpr.2017.02.001. ; Lenhard, F., Sauer, S., Andersson, E., Månsson, K. N., Mataix‐Cols, D., Rück, C., & Serlachius, E. (2018). Prediction of outcome in internet‐delivered cognitive behaviour therapy for paediatric obsessive‐compulsive disorder: A machine learning approach. International Journal of Methods in Psychiatric Research, 27(1), e1576. https://doi.org/10.1002/mpr.1576. ; Linardon, J., Broadbent, J., Shatte, A., & Fuller‐Tyszkiewicz, M. (2022). The role of pre‐existing knowledge and knowledge acquisition in internet‐based cognitive‐behavioural therapy for eating disorders. Computers in Human Behavior, 134, 107332. https://doi.org/10.1016/j.chb.2022.107332. ; Linardon, J., de la Piedad Garcia, X., & Brennan, L. (2017). Predictors, moderators, and mediators of treatment outcome following manualised cognitive‐Behavioural therapy for eating disorders: A systematic review. European Eating Disorders Review, 25(1), 3–12. https://doi.org/10.1002/erv.2492. ; Linardon, J., & Fuller‐Tyszkiewicz, M. (2023). The promise of single session interventions for eating disorders: Lessons to be learned from research on digital mental health. Commentary on Schleider et al. (2023). International Journal of Eating Disorders, 56(5), 867–870. https://doi.org/10.1002/eat.23947. ; Linardon, J., Fuller‐Tyszkiewicz, M., Shatte, A., & Greenwood, C. J. (2022). An exploratory application of machine learning methods to optimize prediction of responsiveness to digital interventions for eating disorder symptoms. The International Journal of Eating Disorders, 55(6), 845–850. https://doi.org/10.1002/eat.23733. ; Linardon, J., Messer, M., Lee, S., & Rosato, J. (2021). Perspectives of e‐health interventions for treating and preventing eating disorders: Descriptive study of perceived advantages and barriers, help‐seeking intentions, and preferred functionality. Eating and Weight Disorders, 26(4), 1097–1109. https://doi.org/10.1007/s40519-020-01005-3. ; Linardon, J., Messer, M., Shatte, A., Greenwood, C. J., Rosato, J., Rathgen, A., Skvarc, D., & Fuller‐Tyszkiewicz, M. (2022). Does the method of content delivery matter? Randomized controlled comparison of an internet‐based intervention for eating disorder symptoms with and without interactive functionality. Behavior Therapy, 53(3), 508–520. https://doi.org/10.1016/j.beth.2021.12.001. ; Linardon, J., Messer, M., Shatte, A., Skvarc, D., Rosato, J., Rathgen, A., & Fuller‐Tyszkiewicz, M. (2021). Targeting dietary restraint to reduce binge eating: A randomised controlled trial of a blended internet‐ and smartphone app‐based intervention. Psychological Medicine, 53(4), 1277–1287. https://doi.org/10.1017/S0033291721002786. ; Linardon, J., Shatte, A., McClure, Z., & Fuller‐Tyszkiewicz, M. (2022). A broad v. focused digital intervention for recurrent binge eating: A randomized controlled non‐inferiority trial. Psychological Medicine, 53(10), 4580–4591. https://doi.org/10.1017/S0033291722001477. ; Linardon, J., Shatte, A., Messer, M., Firth, J., & Fuller‐Tyszkiewicz, M. (2020). E‐mental health interventions for the treatment and prevention of eating disorders: An updated systematic review and meta‐analysis. Journal of Consulting and Clinical Psychology, 88(11), 994–1007. https://doi.org/10.1037/ccp0000575. ; Linardon, J., Shatte, A., Rosato, J., & Fuller‐Tyszkiewicz, M. (2020). Efficacy of a transdiagnostic cognitive‐behavioral intervention for eating disorder psychopathology delivered through a smartphone app: A randomized controlled trial. Psychological Medicine, 52(9), 1679–1690. https://doi.org/10.1017/S0033291720003426. ; Linardon, J., Wade, T. D., de la Piedad Garcia, X., & Brennan, L. (2017). The efficacy of cognitive‐behavioral therapy for eating disorders: A systematic review and meta‐analysis. Journal of Consulting and Clinical Psychology, 85(11), 1080–1094. https://doi.org/10.1037/ccp0000245. ; Loucas, C. E., Fairburn, C. G., Whittington, C., Pennant, M. E., Stockton, S., & Kendall, T. (2014). E‐therapy in the treatment and prevention of eating disorders: A systematic review and meta‐analysis. Behaviour Research and Therapy, 63, 122–131. https://doi.org/10.1016/j.brat.2014.09.011. ; Low, K. G., Charanasomboon, S., Lesser, J., Reinhalter, K., Martin, R., Jones, H., Winzelberg, A., Abascal, L., & Taylor, C. B. (2006). Effectiveness of a computer‐based interactive eating disorders prevention program at long‐term follow‐up. Eating Disorders, 14(1), 17–30. https://doi.org/10.1080/10640260500403816. ; Magill, M., Tonigan, J. S., Kiluk, B., Ray, L., Walthers, J., & Carroll, K. (2020). The search for mechanisms of cognitive behavioral therapy for alcohol or other drug use disorders: A systematic review. Behaviour Research and Therapy, 131, 103648. https://doi.org/10.1016/j.brat.2020.103648. ; Månsson, K. N. T., Frick, A., Boraxbekk, C. J., Marquand, A. F., Williams, S. C. R., Carlbring, P., Andersson, G., & Furmark, T. (2015). Predicting long‐term outcome of internet‐delivered cognitive behavior therapy for social anxiety disorder using fMRI and support vector machine learning. Translational Psychiatry, 5(3), e530. https://doi.org/10.1038/tp.2015.22. ; Manwaring, J. L., Bryson, S. W., Goldschmidt, A. B., Winzelberg, A. J., Luce, K. H., Cunning, D., Wilfley, D. E., & Taylor, C. B. (2008). Do adherence variables predict outcome in an online program for the prevention of eating disorders? Journal of Consulting and Clinical Psychology, 76(2), 341–346. https://doi.org/10.1037/0022-006X.76.2.341. ; Melioli, T., Bauer, S., Franko, D. L., Moessner, M., Ozer, F., Chabrol, H., & Rodgers, R. F. (2016). Reducing eating disorder symptoms and risk factors using the internet: A meta‐analytic review. International Journal of Eating Disorders, 49(1), 19–31. https://doi.org/10.1002/eat.22477. ; Melisse, B., Berg, E. V. D., Jonge, M. D., Blankers, M., Furth, E. V., Dekker, J., & Beurs, E. D. (2023). Efficacy of web‐based, guided self‐help cognitive behavioral therapy–enhanced for binge eating disorder: Randomized controlled trial. Journal of Medical Internet Research, 25, e40472. https://doi.org/10.2196/40472. ; Mensinger, J. L. (2021). Traumatic stress, body shame, and internalized weight stigma as mediators of change in disordered eating: A single‐arm pilot study of the Body Trust (R) framework. Eating Disorders, 29, 618–646. https://doi.org/10.1080/10640266.2021.1985807. ; Merwin, R. M., Nikolaou, P., Moskovich, A. A., Babyak, M., Smith, P. J., & Karekla, M. (2023). Change in body image flexibility and correspondence with outcomes in a digital early intervention for eating disorders based on acceptance and commitment therapy. Body Image, 44, 131–135. https://doi.org/10.1016/j.bodyim.2022.12.010. ; Miles, C. L., Pincus, T., Carnes, D., Homer, K. E., Taylor, S. J., Bremner, S. A., Rahman, A., & Underwood, M. (2011). Can we identify how programmes aimed at promoting self‐management in musculoskeletal pain work and who benefits? A systematic review of sub‐group analysis within RCTs. European Journal of Pain, 15(8), 775.e1–775.e11. https://doi.org/10.1016/j.ejpain.2011.01.016. ; Min, B., Kim, M., Lee, J., Byun, J.‐I., Chu, K., Jung, K.‐Y., Lee, S. K., & Kwon, J. S. (2020). Prediction of individual responses to electroconvulsive therapy in patients with schizophrenia: Machine learning analysis of resting‐state electroencephalography. Schizophrenia Research, 216, 147–153. https://doi.org/10.1016/j.schres.2019.12.012. ; Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta‐analyses: The PRISMA statement. Annals of Internal Medicine, 151(4), 264. https://doi.org/10.7326/0003-4819-151-4-200908180-00135. ; Nagata, J. M., Ganson, K. T., & Murray, S. B. (2020). Eating disorders in adolescent boys and young men: An update. Current Opinion in Pediatrics, 32(4), 476–481. 10.1097%2FMOP.0000000000000911. ; Nemesure, M. D., Park, C., Morris, R. R., Chan, W. W., Fitzsimmons‐Craft, E. E., Rackoff, G. N., Fowler, L. A., Taylor, C. B., & Jacobson, N. C. (2023). Evaluating change in body image concerns following a single session digital intervention. Body Image, 44, 64–68. https://doi.org/10.1016/j.bodyim.2022.11.007. ; Prochaska, J. O., & Velicer, W. F. (1997). The transtheoretical model of health behavior change. American Journal of Health Promotion, 12(1), 38–48. https://doi.org/10.4278/0890-1171-12.1.38. ; Raimondo, M., & Ja, D. (2012). The impact of binge eating disorder on work productivity and motivation to change using an Online Treatment Modality (Publication No. 3517826) [Doctoral dissertation, Alliant International Universtiy]. ProQuest Dissertations and Theses Global. ; Rohde, P., Stice, E., Shaw, H., Gau, J. M., & Ohls, O. C. (2017). Age effects in eating disorder baseline risk factors and prevention intervention effects. International Journal of Eating Disorders, 50(11), 1273–1280. https://doi.org/10.1002/eat.22775. ; Schlegl, S., Bürger, C., Schmidt, L., Herbst, N., & Voderholzer, U. (2015). The potential of technology‐based psychological interventions for anorexia and bulimia nervosa: A systematic review and recommendations for future research. Journal of Medical Internet Research, 17(3), e85. https://doi.org/10.2196/jmir.3554. ; Smink, F. R., van Hoeken, D., & Hoek, H. W. (2012). Epidemiology of eating disorders: Incidence, prevalence and mortality rates. Current Psychiatry Reports, 14(4), 406–414. https://doi.org/10.1007/s11920-012-0282-y. ; Stoeten, C., de Haan, H. A., Postel, M. G., Brusse‐Keizer, M., & ter Huurne, E. D. (2022). Therapeutic Alliance in web‐based treatment for eating disorders: Secondary analysis of a randomized controlled trial. JMIR Formative Research, 6(6), e33813. https://doi.org/10.2196/33813. ; Sweeting, H., Walker, L., MacLean, A., Patterson, C., Räisänen, U., & Hunt, K. (2015). Prevalence of eating disorders in males: A review of rates reported in academic research and UK mass media. International Journal of Men's Health, 14(2). 10.3149%2Fjmh.1402.86. ; Taylor, C. B., Bryson, S., Luce, K. H., Cunning, D., Doyle, A. C., Abascal, L. B., Rockwell, R., Dev, P., Winzelberg, A. J., & Wilfley, D. E. (2006). Prevention of eating disorders in at‐risk college‐age women. Archives of General Psychiatry, 63(8), 881–888. https://doi.org/10.1001/archpsyc.63.8.881. ; ter Huurne, E. D., de Haan, H. A., Postel, M. G., van der Palen, J., VanDerNagel, J. E., & DeJong, C. A. (2015). Web‐based cognitive behavioral therapy for female patients with eating disorders: Randomized controlled trial. Journal of Medical Internet Research, 17(6), e152. https://doi.org/10.2196/jmir.3946. ; Torous, J., Bucci, S., Bell, I. H., Kessing, L. V., Faurholt‐Jepsen, M., Whelan, P., Carvalho, A. F., Keshavan, M., Linardon, J., & Firth, J. (2021). The growing field of digital psychiatry: Current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry, 20(3), 318–335. https://doi.org/10.1002/wps.20883. ; Tregarthen, J., Kim, J. P., Sadeh‐Sharvit, S., Neri, E., Welch, H., & Lock, J. (2019). Comparing a tailored self‐help mobile app with a standard self‐monitoring app for the treatment of eating disorder symptoms: Randomized controlled trial. JMIR Mental Health, 6(11), e14972. https://doi.org/10.2196/14972. ; von Brachel, R., Hotzel, K., Hirschfeld, G., Rieger, E., Schmidt, U., Kosfelder, J., Hechler, T., Schulte, D., & Vocks, S. (2014). Internet‐based motivation program for women with eating disorders: Eating disorder pathology and depressive mood predict dropout. Journal of Medical Internet Research, 16(3), e92. https://doi.org/10.2196/jmir.3104. ; Watson, H. J., McLagan, N., Zerwas, S. C., Crosby, R. D., Levine, M. D., Runfola, C. D., Peat, C. M., Moessner, M., Zimmer, B., Hofmeier, S. M., Hamer, R. M., Marcus, M. D., Bulik, C. M., & Crow, S. J. (2018). Cost‐effectiveness of internet‐based cognitive‐behavioral treatment for bulimia nervosa: Results of a randomized controlled trial. The Journal of Clinical Psychiatry, 79(1), 16m11314. https://doi.org/10.4088/JCP.16m11314. ; Weissman, R. S., & Rosselli, F. (2017). Reducing the burden of suffering from eating disorders: Unmet treatment needs, cost of illness, and the quest for cost‐effectiveness. Behaviour Research and Therapy, 88, 49–64. https://doi.org/10.1016/j.brat.2016.09.006. ; Wyssen, A., Meyer, A. H., Messerli‐Burgy, N., Forrer, F., Vanhulst, P., Lalanne, D., & Munsch, S. (2021). BED‐online: Acceptance and efficacy of an internet‐based treatment for binge‐eating disorder: A randomized clinical trial including waitlist conditions. European Eating Disorders Review, 29(6), 937–954. https://doi.org/10.1002/erv.2856. ; Yim, S. H., & Schmidt, U. (2019). Experiences of computer‐based and conventional self‐help interventions for eating disorders: A systematic review and meta‐synthesis of qualitative research. International Journal of Eating Disorders, 52(10), 1108–1124. https://doi.org/10.1002/eat.23142. ; Zipfel, S., Giel, K. E., Bulik, C. M., Hay, P., & Schmidt, U. (2015). Anorexia nervosa: Aetiology, assessment, and treatment. The Lancet Psychiatry, 2(12), 1099–1111. https://doi.org/10.1016/S2215-0366(15)00356-9.
- Grant Information: APP1196948 National Health and Medical Research Council Investigator Grant
- Contributed Indexing: Keywords: digital intervention; eating disorders; mediator; moderator; predictor; systematic review ; Local Abstract: [Publisher, Spanish; Castilian] Las intervenciones digitales se muestran prometedoras como una opción eficaz de prevención o autocontrol de los trastornos de la conducta alimentaria (TCA). Sin embargo, sigue sin estar claro cómo, para quién y a través de qué mecanismos funcionan en esta población, ya que falta una síntesis de los predictores de resultados, moderadores y mediadores. Esta revisión sistemática sintetiza la investigación empírica que estudia los predictores, mediadores y moderadores de la respuesta a las intervenciones digitales para los TCA. MÉTODO: Se realizaron búsquedas en seis bases de datos (CRD42022295565) de estudios que evaluaron predictores, moderadores o mediadores de la respuesta (es decir, admisión, abandono, compromiso y cambio en el nivel de síntomas) a un programa digital de prevención o tratamiento de los TCA. Las variables se agruparon en varias categorías generales (demográficas, gravedad de los síntomas, psicológicas, etc.) y se sintetizaron cualitativamente en muestras sin un TCA diagnosticado formalmente (normalmente centradas en la prevención) y muestras con un TCA diagnosticado formalmente (normalmente centradas en el tratamiento). [Publisher, Spanish; Castilian] Se incluyeron 86 estudios. Para los estudios que reclutaron muestras sin un diagnóstico formal (n = 70 estudios), la mayoría de los predictores explorados no estaban estadísticamente relacionados con el resultado, aunque la edad del participante, la gravedad de los síntomas basales, la confianza en el cambio, la motivación y el compromiso con el programa mostraron evidencia preliminar de potencial pronóstico. No se identificaron moderadores o mediadores sólidos. Surgieron pocos estudios que reclutaran muestras con un diagnóstico formal (n = 16), de los cuales no se identificaron predictores, moderadores o mediadores fiables. DISCUSIÓN: Sigue sin estar claro cómo, para quién y en qué circunstancias funcionan los programas digitales dirigidos a los TCA. Ofrecemos varias recomendaciones para futuras investigaciones con el objetivo de avanzar en la comprensión de las características de los consultantes y los elementos de intervención que señalan el éxito de esta modalidad de intervención.
- Entry Date(s): Date Created: 20231027 Date Completed: 20240514 Latest Revision: 20240516
- Update Code: 20240517
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