Obesity Clinical Trial
— Project HealthOfficial title:
Effectiveness Trial of a Dissonance-Based Obesity Prevention Program
NCT number | NCT01680224 |
Other study ID # | HD071900 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | September 1, 2012 |
Est. completion date | May 31, 2018 |
Verified date | September 2018 |
Source | Oregon Research Institute |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Obesity is a major US public health problem. Few obesity prevention programs have reduced risk for weight gain over follow-up and those that have are very intensive, making dissemination difficult and costly. A brief 3-hr selective prevention program (Healthy Weight) targeting young adults with body dissatisfaction involving participant-driven healthy dietary and physical activity lifestyle changes significantly reduced increases in body mass index (BMI) and obesity onset relative to alternative interventions and assessment-only controls through 3-yr follow-up, though effects were small in magnitude. To enhance efficacy, the investigators added dissonance-inducing activities regarding unhealthy dietary and activity practices, drawing from a highly efficacious dissonance-based eating disorder prevention program. A pilot trial found that this new Project Health intervention significantly reduced increases in BMI relative to both the Healthy Weight intervention and an educational brochure condition from pre to post. The investigators propose to conduct a rigorous multisite effectiveness trial that will test whether adding the dissonance-induction elements to the originally Healthy Weight intervention improves weight gain prevention effects. 360 college students at risk for future weight by virtue of their age and weight concerns will be randomized one of three conditions: (1) a refined 6-hr group-based dissonance-based Project Health, (2) a 6-hr group-based Healthy Weight intervention, or (3) a psychoeducational video ("Weight of the World") condition. Participants will complete assessments of % body fat, mediators (including objectively measured physical activity), moderators, and other outcomes at pre, post, and 6, 12, and 24 month follow-ups.
Status | Completed |
Enrollment | 364 |
Est. completion date | May 31, 2018 |
Est. primary completion date | June 30, 2016 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 17 Years to 23 Years |
Eligibility |
Inclusion Criteria: - University student - Presents with self-reported "weight concerns" Exclusion Criteria: - Diagnosis of Eating Disorder - Obese - Underweight - Non-english speaking |
Country | Name | City | State |
---|---|---|---|
United States | University of Texas, Austin | Austin | Texas |
United States | Oregon State University | Corvallis | Oregon |
United States | Oregon Research Institute | Eugene | Oregon |
United States | University of Oregon | Eugene | Oregon |
Lead Sponsor | Collaborator |
---|---|
Oregon Research Institute |
United States,
Anderson DA, Shapiro JR, Lundgren JD. The freshman year of college as a critical period for weight gain: an initial evaluation. Eat Behav. 2003 Nov;4(4):363-7. — View Citation
Becker CB, Stice E, Shaw H, Woda S. Use of empirically supported interventions for psychopathology: can the participatory approach move us beyond the research-to-practice gap? Behav Res Ther. 2009 Apr;47(4):265-74. doi: 10.1016/j.brat.2009.02.007. Epub 2009 Feb 21. Review. — View Citation
Blair AJ, Lewis VJ, Booth DA. Does emotional eating interfere with success in attempts at weight control? Appetite. 1990 Oct;15(2):151-7. — View Citation
Block G, Hartman AM, Naughton D. A reduced dietary questionnaire: development and validation. Epidemiology. 1990 Jan;1(1):58-64. — View Citation
Block G, Subar AF. Estimates of nutrient intake from a food frequency questionnaire: the 1987 National Health Interview Survey. J Am Diet Assoc. 1992 Aug;92(8):969-77. — View Citation
Bohon C, Stice E, Spoor S. Female emotional eaters show abnormalities in consummatory and anticipatory food reward: a functional magnetic resonance imaging study. Int J Eat Disord. 2009 Apr;42(3):210-21. doi: 10.1002/eat.20615. — View Citation
Boomsma. (2000). Reporting analyses of covariance structures. Structural Equation Modeling, 7, 461-483.
Boutelle KN, Hannan P, Fulkerson JA, Crow SJ, Stice E. Obesity as a prospective predictor of depression in adolescent females. Health Psychol. 2010 May;29(3):293-8. doi: 10.1037/a0018645. — View Citation
Burton E, Stice E. Evaluation of a healthy-weight treatment program for bulimia nervosa: a preliminary randomized trial. Behav Res Ther. 2006 Dec;44(12):1727-38. Epub 2006 Feb 3. — View Citation
Butler SM, Black DR, Blue CL, Gretebeck RJ. Change in diet, physical activity, and body weight in female college freshman. Am J Health Behav. 2004 Jan-Feb;28(1):24-32. — View Citation
Chambers WJ, Puig-Antich J, Tabrizi MA, Davies M. Psychotic symptoms in prepubertal major depressive disorder. Arch Gen Psychiatry. 1982 Aug;39(8):921-7. — View Citation
Cialdini, R. B., Trost, M. R., & Newsom, J. T. (1995). Preference for consistency: The development of a valid measure and the discovery of surprising behavioral implications. J Pers Soc Psychol, 69, 318-328.
Coleman KJ, Tiller CL, Sanchez J, Heath EM, Sy O, Milliken G, Dzewaltowski DA. Prevention of the epidemic increase in child risk of overweight in low-income schools: the El Paso coordinated approach to child health. Arch Pediatr Adolesc Med. 2005 Mar;159(3):217-24. — View Citation
Colley RC, Tremblay MS. Moderate and vigorous physical activity intensity cut-points for the Actical accelerometer. J Sports Sci. 2011 May;29(8):783-9. doi: 10.1080/02640414.2011.557744. — View Citation
Cummins S, Macintyre S. Food environments and obesity--neighbourhood or nation? Int J Epidemiol. 2006 Feb;35(1):100-4. Epub 2005 Dec 7. Review. — View Citation
Dietz WH, Robinson TN. Use of the body mass index (BMI) as a measure of overweight in children and adolescents. J Pediatr. 1998 Feb;132(2):191-3. — View Citation
Eisenberg, N., Cialdini, R. B., McCreath, H., Shell, R. (1989). Consistency-based compliance in children: when and why do consistency procedures have immediate effects? International Journal of Behavioral Development, 12, 351-367.
Ello-Martin, J. A., Roe, L., & Rolls, B. (2004). A diet reduced in energy density results in greater weight loss than a diet reduced in fat. Obes Res, 12, A23-A23.
Esliger DW, Probert A, Connor Gorber S, Bryan S, Laviolette M, Tremblay MS. Validity of the Actical accelerometer step-count function. Med Sci Sports Exerc. 2007 Jul;39(7):1200-4. — View Citation
Esliger DW, Tremblay MS. Technical reliability assessment of three accelerometer models in a mechanical setup. Med Sci Sports Exerc. 2006 Dec;38(12):2173-81. — View Citation
Everitt, B., & Pickles, A. (2004). Statistical aspects of the design and analysis of clinical trials. London: Imperial College Press.
Festinger, L. (1957). A theory of cognitive dissonance. Stanford University Press.
Finkelstein EA, Trogdon JG, Cohen JW, Dietz W. Annual medical spending attributable to obesity: payer-and service-specific estimates. Health Aff (Millwood). 2009 Sep-Oct;28(5):w822-31. doi: 10.1377/hlthaff.28.5.w822. Epub 2009 Jul 27. — View Citation
Flegal KM, Carroll MD, Ogden CL, Curtin LR. Prevalence and trends in obesity among US adults, 1999-2008. JAMA. 2010 Jan 20;303(3):235-41. doi: 10.1001/jama.2009.2014. Epub 2010 Jan 13. — View Citation
Flegal KM. Epidemiologic aspects of overweight and obesity in the United States. Physiol Behav. 2005 Dec 15;86(5):599-602. Epub 2005 Oct 19. Review. — View Citation
Fontaine KR, Redden DT, Wang C, Westfall AO, Allison DB. Years of life lost due to obesity. JAMA. 2003 Jan 8;289(2):187-93. — View Citation
Foster GD, Sherman S, Borradaile KE, Grundy KM, Vander Veur SS, Nachmani J, Karpyn A, Kumanyika S, Shults J. A policy-based school intervention to prevent overweight and obesity. Pediatrics. 2008 Apr;121(4):e794-802. doi: 10.1542/peds.2007-1365. — View Citation
Green M, Scott N, Diyankova I, Gasser C. Eating disorder prevention: an experimental comparison of high level dissonance, low level dissonance, and no-treatment control. Eat Disord. 2005 Mar-Apr;13(2):157-69. — View Citation
Green, H. J., Frank, R. M., Butwell, A., & Beck, O. J. (2007). Implementation and evaluation of brief cognitivebehavioural therapy in a mental health acute assessment and treatment service. Behaviour Change, 24(2), 87-98.
Haines J, Neumark-Sztainer D, Wall M, Story M. Personal, behavioral, and environmental risk and protective factors for adolescent overweight. Obesity (Silver Spring). 2007 Nov;15(11):2748-60. — View Citation
Harris JK, French SA, Jeffery RW, McGovern PG, Wing RR. Dietary and physical activity correlates of long-term weight loss. Obes Res. 1994 Jul;2(4):307-13. — View Citation
Heil DP. Predicting activity energy expenditure using the Actical activity monitor. Res Q Exerc Sport. 2006 Mar;77(1):64-80. — View Citation
Hill JO, Peters JC. Environmental contributions to the obesity epidemic. Science. 1998 May 29;280(5368):1371-4. Review. — View Citation
Hoagwood K, Olin SS. The NIMH blueprint for change report: research priorities in child and adolescent mental health. J Am Acad Child Adolesc Psychiatry. 2002 Jul;41(7):760-7. — View Citation
Hodgkins C, Frost-Pineda K, Gold MS. Weight gain during substance abuse treatment: the dual problem of addiction and overeating in an adolescent population. J Addict Dis. 2007;26 Suppl 1:41-50. doi: 10.1300/J069v26S01_05. — View Citation
Jacobson NS, Truax P. Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. J Consult Clin Psychol. 1991 Feb;59(1):12-9. — View Citation
Jiang J, Xia X, Greiner T, Wu G, Lian G, Rosenqvist U. The effects of a 3-year obesity intervention in schoolchildren in Beijing. Child Care Health Dev. 2007 Sep;33(5):641-6. — View Citation
Klohe DM, Clarke KK, George GC, Milani TJ, Hanss-Nuss H, Freeland-Graves J. Relative validity and reliability of a food frequency questionnaire for a triethnic population of 1-year-old to 3-year-old children from low-income families. J Am Diet Assoc. 2005 May;105(5):727-34. — View Citation
Lipsey, M. W., & Wilson, D. B. (2001). Practical meta-analysis. Thousand Oaks, CA: Sage
Lowe MR, Annunziato RA, Markowitz JT, Didie E, Bellace DL, Riddell L, Maille C, McKinney S, Stice E. Multiple types of dieting prospectively predict weight gain during the freshman year of college. Appetite. 2006 Jul;47(1):83-90. Epub 2006 May 2. — View Citation
MacKinnon, D. P. (2008). Multivariate Applications: Introduction to Statistical Mediation Analysis. New York: Lawrence Erlbaum Associates.
Martin M, Beekley A, Kjorstad R, Sebesta J. Socioeconomic disparities in eligibility and access to bariatric surgery: a national population-based analysis. Surg Obes Relat Dis. 2010 Jan-Feb;6(1):8-15. doi: 10.1016/j.soard.2009.07.003. Epub 2009 Jul 17. — View Citation
Matusek JA, Wendt SJ, Wiseman CV. Dissonance thin-ideal and didactic healthy behavior eating disorder prevention programs: results from a controlled trial. Int J Eat Disord. 2004 Dec;36(4):376-88. — View Citation
McCarthy HD, Cole TJ, Fry T, Jebb SA, Prentice AM. Body fat reference curves for children. Int J Obes (Lond). 2006 Apr;30(4):598-602. — View Citation
McMillan W, Stice E, Rohde P. High- and low-level dissonance-based eating disorder prevention programs with young women with body image concerns: an experimental trial. J Consult Clin Psychol. 2011 Feb;79(1):129-34. doi: 10.1037/a0022143. — View Citation
Mitchell KS, Mazzeo SE, Rausch SM, Cooke KL. Innovative interventions for disordered eating: evaluating dissonance-based and yoga interventions. Int J Eat Disord. 2007 Mar;40(2):120-8. — View Citation
Muthén, L. K., & Muthén, B. O. (1998-2010). Mplus User's Guide (6th ed.). Los Angeles: Muthén & Muthén.
Muthén, L. K., & Muthén, B. O. (2002). How to use a Monte Carlo study to decide on sample size and determine power. Structural Equation Modeling, 9, 599-620.
Neumark-Sztainer D, Story M, Hannan PJ, Perry CL, Irving LM. Weight-related concerns and behaviors among overweight and nonoverweight adolescents: implications for preventing weight-related disorders. Arch Pediatr Adolesc Med. 2002 Feb;156(2):171-8. — View Citation
Perez M, Becker CB, Ramirez A. Transportability of an empirically supported dissonance-based prevention program for eating disorders. Body Image. 2010 Jun;7(3):179-86. doi: 10.1016/j.bodyim.2010.02.006. Epub 2010 Mar 23. — View Citation
Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods. 2008 Aug;40(3):879-91. — View Citation
Reilly JJ, Penpraze V, Hislop J, Davies G, Grant S, Paton JY. Objective measurement of physical activity and sedentary behaviour: review with new data. Arch Dis Child. 2008 Jul;93(7):614-9. doi: 10.1136/adc.2007.133272. Epub 2008 Feb 27. Review. — View Citation
Ricciardelli LA, McCabe MP. Dietary restraint and negative affect as mediators of body dissatisfaction and bulimic behavior in adolescent girls and boys. Behav Res Ther. 2001 Nov;39(11):1317-28. — View Citation
Richardson LP, Davis R, Poulton R, McCauley E, Moffitt TE, Caspi A, Connell F. A longitudinal evaluation of adolescent depression and adult obesity. Arch Pediatr Adolesc Med. 2003 Aug;157(8):739-45. — View Citation
Roehrig M, Thompson JK, Brannick M, van den Berg P. Dissonance-based eating disorder prevention program: a preliminary dismantling investigation. Int J Eat Disord. 2006 Jan;39(1):1-10. — View Citation
Rolls, B., & Barnett, R. (2000). Volumetrics: Feel full on fewer calories. New York, NY: Harper Collins
Rolls, B., & Barnett, R. (2000). Volumetrics: Feel full on fewer calories. New York, NY: Harper Collins.
Roy-Byrne PP, Sherbourne CD, Craske MG, Stein MB, Katon W, Sullivan G, Means-Christensen A, Bystritsky A. Moving treatment research from clinical trials to the real world. Psychiatr Serv. 2003 Mar;54(3):327-32. — View Citation
Schoeller DA, Ravussin E, Schutz Y, Acheson KJ, Baertschi P, Jéquier E. Energy expenditure by doubly labeled water: validation in humans and proposed calculation. Am J Physiol. 1986 May;250(5 Pt 2):R823-30. — View Citation
Schwitzer, A., & Choate, L., (2007). College student needs and counseling responses. Journal of College Counseling, 10, 3-5.
Seeley JR, Stice E, Rohde P. Screening for depression prevention: identifying adolescent girls at high risk for future depression. J Abnorm Psychol. 2009 Feb;118(1):161-170. doi: 10.1037/a0014741. — View Citation
Seidel A, Presnell K, Rosenfield D. Mediators in the dissonance eating disorder prevention program. Behav Res Ther. 2009 Aug;47(8):645-53. doi: 10.1016/j.brat.2009.04.007. Epub 2009 May 3. — View Citation
Singer, J. D., & Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. New York: Oxford University Press.
Sirard JR, Kubik MY, Fulkerson JA, Arcan C. Objectively measured physical activity in urban alternative high school students. Med Sci Sports Exerc. 2008 Dec;40(12):2088-95. doi: 10.1249/MSS.0b013e318182092b. — View Citation
Steele CM, Southwick LL, Critchlow B. Dissonance and alcohol: drinking your troubles away. J Pers Soc Psychol. 1981 Nov;41(5):831-46. — View Citation
Stice E, Cooper JA, Schoeller DA, Tappe K, Lowe MR. Are dietary restraint scales valid measures of moderate- to long-term dietary restriction? Objective biological and behavioral data suggest not. Psychol Assess. 2007 Dec;19(4):449-58. — View Citation
Stice E, Fisher M, Lowe MR. Are dietary restraint scales valid measures of acute dietary restriction? Unobtrusive observational data suggest not. Psychol Assess. 2004 Mar;16(1):51-9. — View Citation
Stice E, Marti CN, Rohde P, Shaw H. Testing mediators hypothesized to account for the effects of a dissonance-based eating disorder prevention program over longer term follow-up. J Consult Clin Psychol. 2011 Jun;79(3):398-405. doi: 10.1037/a0023321. — View Citation
Stice E, Marti CN, Shaw H, Jaconis M. An 8-year longitudinal study of the natural history of threshold, subthreshold, and partial eating disorders from a community sample of adolescents. J Abnorm Psychol. 2009 Aug;118(3):587-97. doi: 10.1037/a0016481. — View Citation
Stice E, Marti CN, Spoor S, Presnell K, Shaw H. Dissonance and healthy weight eating disorder prevention programs: long-term effects from a randomized efficacy trial. J Consult Clin Psychol. 2008 Apr;76(2):329-40. doi: 10.1037/0022-006X.76.2.329. — View Citation
Stice E, Mazotti L, Weibel D, Agras WS. Dissonance prevention program decreases thin-ideal internalization, body dissatisfaction, dieting, negative affect, and bulimic symptoms: A preliminary experiment. Int J Eat Disord. 2000 Mar;27(2):206-17. — View Citation
Stice E, Presnell K, Shaw H, Rohde P. Psychological and behavioral risk factors for obesity onset in adolescent girls: a prospective study. J Consult Clin Psychol. 2005 Apr;73(2):195-202. — View Citation
Stice E, Rohde P, Gau J, Shaw H. An effectiveness trial of a dissonance-based eating disorder prevention program for high-risk adolescent girls. J Consult Clin Psychol. 2009 Oct;77(5):825-34. doi: 10.1037/a0016132. — View Citation
Stice E, Rohde P, Seeley JR, Gau JM. Brief cognitive-behavioral depression prevention program for high-risk adolescents outperforms two alternative interventions: a randomized efficacy trial. J Consult Clin Psychol. 2008 Aug;76(4):595-606. doi: 10.1037/a0012645. — View Citation
Stice E, Rohde P, Shaw H, Gau J. An effectiveness trial of a selected dissonance-based eating disorder prevention program for female high school students: Long-term effects. J Consult Clin Psychol. 2011 Aug;79(4):500-8. doi: 10.1037/a0024351. — View Citation
Stice E, Rohde P, Shaw H, Marti CN. Efficacy trial of a selective prevention program targeting both eating disorder symptoms and unhealthy weight gain among female college students. J Consult Clin Psychol. 2012 Feb;80(1):164-170. doi: 10.1037/a0026484. Epub 2011 Nov 28. — View Citation
Stice E, Shaw H, Burton E, Wade E. Dissonance and healthy weight eating disorder prevention programs: a randomized efficacy trial. J Consult Clin Psychol. 2006 Apr;74(2):263-75. — View Citation
Stice E, Shaw H, Marti CN. A meta-analytic review of eating disorder prevention programs: encouraging findings. Annu Rev Clin Psychol. 2007;3:207-31. Review. — View Citation
Stice E, Shaw H, Marti CN. A meta-analytic review of obesity prevention programs for children and adolescents: the skinny on interventions that work. Psychol Bull. 2006 Sep;132(5):667-91. — View Citation
Stice E, Whitenton K. Risk factors for body dissatisfaction in adolescent girls: a longitudinal investigation. Dev Psychol. 2002 Sep;38(5):669-78. — View Citation
Subar AF, Thompson FE, Kipnis V, Midthune D, Hurwitz P, McNutt S, McIntosh A, Rosenfeld S. Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires : the Eating at America's Table Study. Am J Epidemiol. 2001 Dec 15;154(12):1089-99. — View Citation
Surrao J, Sawaya AL, Dallal GE, Tsay R, Roberts SB. Use of food quotients in human doubly labeled water studies: comparable results obtained with 4 widely used food intake methods. J Am Diet Assoc. 1998 Sep;98(9):1015-20. — View Citation
Trost SG, McIver KL, Pate RR. Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S531-43. Review. — View Citation
Trost SG, Pate RR, Freedson PS, Sallis JF, Taylor WC. Using objective physical activity measures with youth: how many days of monitoring are needed? Med Sci Sports Exerc. 2000 Feb;32(2):426-31. — View Citation
Turk MW, Yang K, Hravnak M, Sereika SM, Ewing LJ, Burke LE. Randomized clinical trials of weight loss maintenance: a review. J Cardiovasc Nurs. 2009 Jan-Feb;24(1):58-80. doi: 10.1097/01.JCN.0000317471.58048.32. Review. — View Citation
van den Berg P, Neumark-Sztainer D. Fat 'n happy 5 years later: is it bad for overweight girls to like their bodies? J Adolesc Health. 2007 Oct;41(4):415-7. — View Citation
van Strien, T., Frijters, J. E., Van Staveren, W. A., Defares, P. B., & Deurenberg, P. (1986). The predictive validity of the Dutch Restrained Eating Scale. Int J Eat Disord, 5, 747-755
Ward DS, Evenson KR, Vaughn A, Rodgers AB, Troiano RP. Accelerometer use in physical activity: best practices and research recommendations. Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S582-8. — View Citation
Weisz JR, Donenberg GR, Han SS, Kauneckis D. Child and adolescent psychotherapy outcomes in experiments versus clinics: why the disparity? J Abnorm Child Psychol. 1995 Feb;23(1):83-106. Review. — View Citation
Weyers AM, Mazzetti SA, Love DM, Gómez AL, Kraemer WJ, Volek JS. Comparison of methods for assessing body composition changes during weight loss. Med Sci Sports Exerc. 2002 Mar;34(3):497-502. — View Citation
Wichstrøm L. Psychological and behavioral factors unpredictive of disordered eating: a prospective study of the general adolescent population in Norway. Int J Eat Disord. 2000 Jul;28(1):33-42. — View Citation
Wong SL, Colley R, Connor Gorber S, Tremblay M. Actical accelerometer sedentary activity thresholds for adults. J Phys Act Health. 2011 May;8(4):587-91. — View Citation
Yancey AK, Ortega AN, Kumanyika SK. Effective recruitment and retention of minority research participants. Annu Rev Public Health. 2006;27:1-28. Review. — View Citation
* Note: There are 93 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Weighing Habits | Participants will be asked how often they weighed themselves "in the past two weeks" at each assessment. | Baseline and post intervention (6 weeks); 6/12/24 mo follow-ups | |
Other | Physical Activity | Accelerometers will give objective measures of physical activity from each participant at each wave assessment. | Baseline and post-intervention (6 weeks); 6/12/24 month follow-ups | |
Primary | Body Fat Percentage | We will use air displacement plethysmography (ADP) via the Bod Pod S/T to assess % body fat. Two measures will be averaged. Body density, calculated as body mass divided by estimated body volume, is used to calculate age- and gender-adjusted body fat percentile scores, based on normative reference data (McCarthy et al., 2006). A pilot validity study (N = 30) revealed that direct DEXA measures of % body fat correlates much more strongly with ADP estimates of body fat (r = .88) than with BMI (r = .23). Change in age- and gender-adjusted body fat percentile over the 2-year follow-up will be the primary outcome. This assessment takes 3-5 minutes to complete. | Changes in body fat from baseline to 2-year follow up | |
Secondary | Eating Pathology | The Eating Disorder Diagnostic Interview, a brief semi-structured interview, will assess eating disorder symptoms. It provides diagnoses for anorexia nervosa, bulimia nervosa, and binge eating disorder, which will allow us to exclude participants with these disorders. It also provides a continuous measure of overall eating disorder symptoms. | Baseline and post intervention (6 weeks); 6/12/24 month follow-up | |
Secondary | Negative Affect | The 20-item Negative Affect subscale of the Positive and Negative Affect Schedule (PANAS: Watson et al., 1988) measures general negative affectivity and depressive symptoms. Using a Likert rating system, participants choose their degree of endorsement of negative affectivity items such as "disgusted with self" and "lonely" (response options: 1 = not at all; 5 = extremely). | Baseline and post intervention (6 weeks); 6/12/24 month follow-ups | |
Secondary | Food Craving/Liking | The 28-item Food Craving Inventory (FCI; White et al., 2002) assesses subjective cravings for individual foods (pasta, ice cream), asking: "Over the past month, how often have you experienced a craving for the food?" | Baseline, 6 weeks (post intervention), 6/12/24 month follow ups |
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