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Online prevention of disordered eating in at-risk young-adult women: a two-country pragmatic randomized controlled trial

Published online by Cambridge University Press:  13 December 2017

Simon M. Wilksch*
Affiliation:
School of Psychology, Flinders University, South Australia, Australia
Anne O'Shea
Affiliation:
School of Psychology, Flinders University, South Australia, Australia
C. Barr Taylor
Affiliation:
Department of Psychiatry, Stanford University Medical Center, Stanford, California, USA
Denise Wilfley
Affiliation:
Department of Psychology, Washington University in St. Louis, St. Louis, Missouri, USA Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
Corinna Jacobi
Affiliation:
Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany
Tracey D. Wade
Affiliation:
School of Psychology, Flinders University, South Australia, Australia
*
Author for correspondence: Simon Wilksch, E-mail: [email protected]

Abstract

Background

Disordered eating (DE) is a widespread, serious problem. Efficacious prevention programs that can be delivered at-scale are needed.

Methods

A pragmatic randomized controlled trial of two online programs was conducted. Participants were young-adult women from Australia and New Zealand seeking to improve their body image. Media Smart-Targeted (MS-T) and Student Bodies (SB) were both 9-module interventions released weekly, whilst control participants received positive body image information. Primary [Eating Disorder Examination–Questionnaire (EDE-Q) Global], secondary (DE risk factors) and tertiary (DE) outcome measures were completed at baseline, post-program, 6- and 12-month follow-up.

Results

Baseline was completed by 608 women (M age = 20.71 years); 33 were excluded leaving 575 randomized to: MS-T (N = 191); SB (N = 190) or control (N = 194). Only 66% of those randomized to MS-T or SB accessed the intervention and were included in analyses with controls; 78% of this sample completed measures subsequent to baseline. Primary intent-to-treat (ITT) analyses revealed no differences between groups, while measure completer analyses found MS-T had significantly lower EDE-Q Global than controls at 12-month follow-up. Secondary ITT analyses found MS-T participants reported significantly higher quality of life–mental relative to both SB and controls (6-month follow-up), while MS-T and controls had lower clinical impairment relative to SB (post-program). Amongst measure completers, MS-T scored significantly lower than controls and SB on 5 variables. Of those with baseline DE, MS-T participants were significantly less likely than controls to have DE at 12-month follow-up.

Conclusions

Given both programs were not therapist-moderated, MS-T has potential to achieve reductions in DE risk at low implementation costs.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2017 

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References

Andersson, G, Carlbring, P, Berger, T, Almlöv, J and Cuijpers, P (2009) What makes internet therapy work? Cognitive Behaviour Therapy 38, 5560.Google Scholar
Austin, SB (2016). Accelerating progress in eating disorders prevention: a call for policy translation research and training. Eating Disorders, 24, 619.Google Scholar
Bardone-Cone, AM, Harney, MB, Maldonado, CR, Lawson, MA, Robinson, DP, Smith, R et al. (2010) Defining recovery from an eating disorder: conceptualization, validation, and examination of psychosocial functioning and psychiatric comorbidity. Behaviour Research and Therapy 48, 194202.Google Scholar
Berg, KC, Peterson, CB, Frazier, P and Crow, SJ (2011) Convergence of scores on the interview and questionnaire versions of the eating disorder examination: a meta-analytic review. Psychological Assessment 23, 714724.Google Scholar
Berg, KC, Stiles-Shields, EC, Swanson, SA, Peterson, CB, Lebow, J and Le Grange, D (2012) Diagnostic concordance of the interview and questionnaire versions of the eating disorder examination. International Journal of Eating Disorders 45, 850855.Google Scholar
Bohn, K and Fairburn, CG (2008) The clinical impairment assessment questionnaire (CIA). In Fairburn, CG (ed.). Cognitive Behavioral Therapy for Eating Disorders. New York: Guilford Press, pp. 315317.Google Scholar
Braun, D, Sunday, S and Halmi, K (1994) Psychiatric comorbidity in patients with eating disorders. Psychological Medicine 24, 859867.Google Scholar
Bruning Brown, J, Winzelberg, AJ, Abascal, LB and Taylor, CB (2004). An evaluation of an internet-delivered eating disorder prevention program for adolescents and their parents. Journal of Adolescent Health 35, 290296.Google Scholar
Celio, AA, Winzelberg, AJ, Wilfley, DE, Eppstein-Herald, D, Springer, EA, Dev, P et al. (2000) Reducing risk factors for eating disorders: comparison of an internet- and a classroom-delivered psychoeducational program. Journal of Consulting and Clinical Psychology 68, 650657.Google Scholar
Enders, CK (2010). Applied Missing Data Analysis. New York: Guilford Press.Google Scholar
Espelage, DL, Mazzeo, SE, Aggen, SH, Quittner, AL, Sherman, R and Thompson, R (2003) Examining the construct validity of the Eating Disorder Inventory. Psychological Assessment 15, 7180.Google Scholar
Fairburn, CG and Beglin, SJ (1994) Assessment of eating disorders: interview or self-report questionnaire? International Journal of Eating Disorders 16, 363370.Google Scholar
Fairburn, CG and Cooper, Z (2011) Eating disorders, DSM-5 and clinical reality. The British Journal of Psychiatry 198, 810.Google Scholar
Fairburn, CG, Cooper, Z and Shafran, R (2003) Cognitive behaviour therapy for eating disorders: a ‘transdiagnostic’ theory and treatment. Behaviour Research and Therapy 41, 509528.Google Scholar
Fairweather-Schmidt, AK and Wade, TD (2014) DSM-5 eating disorders and other specified eating and feeding disorders: is there a meaningful differentiation? International Journal of Eating Disorders 47, 524533.Google Scholar
Franko, DL and Keel, PK (2006) Suicidality in eating disorders: occurrence, correlates, and clinical implications. Clinical Psychology Review 26, 769782.Google Scholar
Garner, DM, Olmstead, MP and Polivy, J (1983) Development and validation of a multidimensional Eating Disorder Inventory for anorexia nervosa and bulimia nervosa. International Journal of Eating Disorders 2, 1534.Google Scholar
Henry, JD and Crawford, JR (2005) The short-form version of the Depression Anxiety Stress Scales (DASS-21): construct validity and normative data in a large non-clinical sample. The British Journal of Clinical Psychology 44, 227239.Google Scholar
Herpertz-Dahlmann, B., Dempfle, A., Konrad, K., Klasen, F. and Ravens-Sieberer, U. BELLA Study Group (2015). Eating disorder symptoms do not just disappear: the implications of adolescent eating-disordered behaviour for body weight and mental health in young adulthood. European Child & Adolescent Psychiatry 24, 675684.Google Scholar
Jacobi, C, Abascal, L and Taylor, CB (2004) Screening for eating disorders and high-risk behavior: caution. International Journal of Eating Disorders 36, 280295.Google Scholar
Jacobi, C, Hütter, K and Fittig, E (in press). Psychosocial risk factors for eating disorders. In Agras, S (ed.). The Oxford Handbook of Eating Disorders. New York: Oxford University Press.Google Scholar
Jacobi, C, Morris, L, Beckers, C, Bronisch-Holtze, J, Winter, J, Winzelberg, AJ et al. (2005) Reduction of risk factors for disordered eating behavior: adaptation and initial results of an internet-supported prevention program. Zeitschrift fur Gesundheitspsychologie 13, 92101.Google Scholar
Jacobi, C, Morris, L, Beckers, C, Bronisch-Holtze, J, Winter, J, Winzelberg, AJ et al. (2007) Maintenance of internet-based prevention: a randomized controlled trial. International Journal of Eating Disorders 40, 114119.Google Scholar
Jacobi, C, Völker, U, Trockel, MT and Taylor, CB (2012) Effects of an internet-based intervention for subthreshold eating disorders: a randomized controlled trial. Behaviour Research and Therapy 50, 9399.Google Scholar
Kass, AE, Trockel, M, Safer, DL, Sinton, MM, Cunning, D, Rizk, MT et al. (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, 9098.Google Scholar
Kazdin, AE, Fitzsimmons-Craft, EE and Wilfley, DE (2017) Addressing critical gaps in the treatment of eating disorders. International Journal of Eating Disorders (in press).Google Scholar
Killen, JD, Taylor, C, Hayward, C, Wilson, DM, Haydel, KF, Hammer, LD, 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, 227238.Google Scholar
Kotler, LA, Cohen, P, Davies, M, Pine, DS and Walsh, B (2001) Longitudinal relationships between childhood, adolescent, and adult eating disorders. Journal of the American Academy of Child & Adolescent Psychiatry 40, 14341440.Google Scholar
Lecrubier, Y, Sheehan, DV, Weiller, E, Amorim, P, Bonora, I, Harnett Sheehan, K et al. (1997) The Mini International Neuropsychiatric Interview (MINI). A short diagnostic structured interview: reliability and validity according to the CIDI. European Psychiatry 12, 224231.Google Scholar
Levine, MP and Smolak, L (2016) The role of protective factors in the prevention of negative body image and disordered eating. Eating Disorders, 24, 3946.Google Scholar
Lovibond, P and Lovibond, S (1995) The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy 33, 335343.Google Scholar
Low, KG, Charanasomboon, S, Lesser, J, Reinhalter, K, Martin, R, Jones, H et al. (2006) Effectiveness of a computer-based interactive eating disorders prevention program at long-term follow-Up. Eating Disorders: The Journal of Treatment & Prevention 14, 1730.Google Scholar
Melioli, T, Bauer, S, Franko, DL, Moessner, M, Ozer, F, Chabrol, H et al. (2016) Reducing eating disorder symptoms and risk factors using the internet: a meta-analytic review. International Journal of Eating Disorders 49, 1931.Google Scholar
Mission Australia (2010). National Survey of Young Australians. Sydney: Mission Australia.Google Scholar
Mond, JM, Hay, PJ, Rodgers, B, Owen, C and Beumont, PJV (2004) Validity of the Eating Disorder Examination Questionnaire (EDE-Q) in screening for eating disorders in community samples. Behaviour Research and Therapy 42, 551567.Google Scholar
Murray, CJL and Lopez, AD (eds.) (1996). The Global Burden of Disease: A Comprehensive Assessment of Mortality and Disability From Diseases, Injuries and Risk Factors in 1990 to 2020. Cambridge, MA: Harvard University Press.Google Scholar
Neumark-Sztainer, D, Wall, M, Larson, NI, Eisenberg, ME and Loth, K (2011) Dieting and disordered eating behaviors from adolescence to young adulthood: findings from a 10-year longitudinal study. . Journal of the American Dietetic Association 111, 10041011.Google Scholar
Patel, V, Chowdhary, N, Rahman, A and Verdeli, H (2011) Improving access to psychological treatments: lessons from developing countries. Behaviour Research and Therapy 49, 523528.Google Scholar
Patton, GC, Selzer, R, Coffey, C, Carlin, JB and Wolfe, R (1999) Onset of adolescent eating disorders: population based cohort study over 3 years. British Medical Journal 318, 765768.Google Scholar
Piran, N (2015) New possibilities in the prevention of eating disorders: the introduction of positive body image measures. Body Image 14, 146157.Google Scholar
Rohde, P, Stice, E, Shaw, H, Gau, JM and Ohls, OC (in press) Age effects in eating disorder baseline risk factors and prevention intervention effects. International Journal of Eating Disorders.Google Scholar
Sheehan, DV, Lecrubier, Y, Harnett Sheehan, K, Janavs, J, Weiller, E, Keskiner, A et al. (1997) The validity of the Mini International Neuropsychiatric Interview (MINI) according to the SCID-P and its reliability. European Psychiatry 12, 232241.Google Scholar
Sterne, JA, White, IR, Carlin, JB, Spratt, M, Royston, P, Kenward, MG et al. (2009) Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ: British Medical Journal 338, b2393.Google Scholar
Stice, E (2001) A prospective test of the dual-pathway model of bulimic pathology: mediating effects of dieting and negative affect. Journal of Abnormal Psychology 110, 124135.Google Scholar
Stice, E, Chase, A, Stormer, S and Appel, A (2001) A randomized trial of a dissonance-based eating disorder prevention program. International Journal of Eating Disorders 29, 247262.Google Scholar
Stice, E, Davis, K, Miller, NP and Marti, C (2008a). Fasting increases risk for onset of binge eating and bulimic pathology: a 5-year prospective study. Journal of Abnormal Psychology 117, 941946.Google Scholar
Stice, E, Marti, C, Spoor, S, Presnell, K and Shaw, H (2008b) Dissonance and healthy weight eating disorder prevention programs: long-term effects from a randomized efficacy trial. Journal of Consulting and Clinical Psychology 76, 329340.Google Scholar
Stice, E, Mazotti, L, Weibel, D and Agras, WS (2000) Dissonance prevention program decreases thin-ideal internalization, body dissatisfaction, dieting, negative affect, and bulimic symptoms: a preliminary experiment. International Journal of Eating Disorders 27, 206217.Google Scholar
Stice, E, Rohde, P, Durant, S and Shaw, H (2012). A preliminary trial of a prototype internet dissonance-based eating disorder prevention program for young women With body image concerns. Journal of Consulting and Clinical Psychology, 80, 907916.Google Scholar
Stice, E, Rohde, P, Gau, J and Shaw, H (2009) An effectiveness trial of a dissonance-based eating disorder prevention program for high-risk adolescent girls. Journal of Consulting & Clinical Psychology 77, 825834.Google Scholar
Stice, E, Rohde, P, Shaw, H and Gau, J (2011) An effectiveness trial of a selected dissonance-based eating disorder prevention program for female high school students: long-term effects. Journal of Consulting and Clinical Psychology 79, 500508.Google Scholar
Stice, E, Shaw, H and Marti, CN (2007) A meta-analytic review of eating disorder prevention programs: encouraging findings. Annual Review of Clinical Psychology 3, 207231.Google Scholar
Taylor, C, Bryson, S, Luce, KH, Cunning, D, Doyle, AC, Abascal, LB et al. (2006) Prevention of eating disorders in At-Risk College-Age women. Archives of General Psychiatry 63, 881888.Google Scholar
Taylor, CB, Kass, AE, Trockel, M, Cunning, D, Weisman, H, Bailey, J et al. (2016) Reducing eating disorder onset in a very high risk sample with significant comorbid depression: a randomized controlled trial. Journal of Consulting and Clinical Psychology 84, 402.Google Scholar
Thompson, J, van den Berg, P, Roehrig, M, Guarda, AS and Heinberg, LJ (2004) The sociocultural attitudes towards appearance scale-3: development and validation. International Journal of Eating Disorders 35, 293304.Google Scholar
Vannucci, A, Kass, AE, Sinton, MM, Aspen, V, Weisman, H, Bailey, JO et al. (2012) An examination of the clinical impairment assessment among women at high risk for eating disorder onset. Behaviour Research and Therapy 50, 407414.Google Scholar
Wade, TD, Wilksch, SM and Lee, C (2012) A longitudinal investigation of the impact of disordered eating on young women's quality of life. Health Psychology 31, 352359.Google Scholar
Waller, R and Gilbody, S (2009) Barriers to the uptake of computerized cognitive behavioural therapy: a systematic review of the quantitative and qualitative evidence. Psychological Medicine 39, 705712.Google Scholar
Ware, JE, Snow, KK, Kosinski, M and Gandek, B (1993). SF-36 Health Survey: Manual and Interpretation Guide. The Health Institute, New England Medical Center.Google Scholar
Wertheim, EH, Koerner, J and Paxton, SJ (2001) Longitudinal predictors of restrictive eating and bulimic tendencies in three different age groups of adolescent girls. Journal of Youth and Adolescence 30, 6981.Google Scholar
Wilksch, SM (2014) Where did universal eating disorder prevention go? Eating Disorders: The Journal of Treatment & Prevention 22, 184192.Google Scholar
Wilksch, SM, Paxton, SJ, Byrne, SM, Austin, SB, McLean, SA, Thompson, KM et al. (2015) Prevention across the spectrum: a randomized controlled trial of three programs to reduce risk factors for both eating disorders and obesity. Psychological Medicine 45, 18111823.Google Scholar
Wilksch, SM and Wade, TD (2009) Reduction of shape and weight concern in young adolescents: a 30-month controlled evaluation of a media literacy program. Journal of the American Academy of Child and Adolescent Psychiatry 48, 652661.Google Scholar
Winzelberg, AJ, Eppstein, D, Eldredge, KL, Wilfley, D, Dasmahapatra, R, Dev, P et al. (2000) Effectiveness of an internet-based program for reducing risk factors for eating disorders. Journal of Consulting and Clinical Psychology 68, 346350.Google Scholar
Winzelberg, AJ, Taylor, CB, Sharpe, T, Eldredge, KL, Dev, P and Constantinou, PS (1998) Evaluation of a computer-mediated eating disorder intervention program. International Journal of Eating Disorders 24, 339349.Google Scholar
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