Feasibility of a virtual reality-based approach to improve behavioral weight management outcomes

Suzanne Phelan, Sapna Peruvemba, David Levinson, Noah Stulberg, Aidan Lacy, Maria Legato, James P Werner, Suzanne Phelan, Sapna Peruvemba, David Levinson, Noah Stulberg, Aidan Lacy, Maria Legato, James P Werner

Abstract

Background: Behavioral weight loss interventions promote clinically significant weight loss over 12 months, but weight regain remains problematic and a substantial proportion of participants do not achieve long-term weight loss maintenance. Novel methods are needed that instill habit strength for sustaining weight control behaviors long term. Virtual reality (VR) has the potential to provide opportunities within behavioral treatment for patients to practice desired weight control behaviors in the frequency and magnitude necessary to build durable habits. A pilot randomized trial was done to test the feasibility integrating virtual reality (VR) into standard behavioral weight loss treatment.

Methods: Participants were 15 adults (43 years; 46.7% Hispanic), with overweight or obesity who were randomly assigned to a 4-week Standard Behavioral Weight Loss plus Non-Weight-Related VR app (i.e., Control Group) or Standard Behavioral Weight Loss plus Weight-Related VR app (i.e., Intervention Group). The Intervention's VR tool was designed to enable practice of behavioral skills taught in weekly group meetings, including managing social and home environmental cues for eating and activity.

Results: Participants were recruited over 3 months, and retention at the final assessment visit was high (86.6%). The VR footage and resulting app were rated as highly realistic (6.7 on a 10-point scale), and the VR program overall was rated as highly satisfactory (3.6 on a 4-point scale). Adverse effects of eye strain and motion sickness were minimal (~ 2 on a 7-point scale). As expected, the intervention and control groups both lost weight and unadjusted means (SD) averaged 3.4% (2.7) and 2.3% (3.6), respectively, over the 4 weeks. Overall, participants reported preferring a VR approach above traditional weight loss programs (rating of 5 on a 7-point scale).

Conclusions: Future research is needed to develop and test the feasibility of using VR for other weight control skills with a larger sample size and longer evaluation period to determine if VR can improve standard behavioral weight loss outcomes by intensifying practice opportunities and building habit strength for weight loss maintenance.

Trial registration: NCT04534088 ; date of registration: 09/01/2020, retrospectively registered.

Keywords: Behavioral treatment; Lifestyle intervention; Obesity; Virtual reality; Weight loss.

Conflict of interest statement

Unrelated to the current work, the first author is investigator on a grant funded by WW. No other potential competing financial interests exist among the authors.

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References

    1. Alamuddin N, Wadden TA. Behavioral treatment of the patient with obesity. Endocrinol Metab Clin North Am. 2016;45(3):565–580. doi: 10.1016/j.ecl.2016.04.008.
    1. Knowler WC, Barrett-Connor E, Fowler SE, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346(6):393–403. doi: 10.1056/NEJMoa012512.
    1. Look Ahead Research Group. Wing RR. Long-term effects of a lifestyle intervention on weight and cardiovascular risk factors in individuals with type 2 diabetes mellitus: four-year results of the Look AHEAD trial. Arch Intern Med. 2010;170(17):1566–1575. doi: 10.1001/archinternmed.2010.334.
    1. Neumann DL, Moffitt RL. Affective and attentional states when running in a virtual reality environment. Sports (Basel). 2018;6(3). 10.3390/sports6030071 [published Online First: 2018/07/27].
    1. Gorini A, Griez E, Petrova A, et al. Assessment of the emotional responses produced by exposure to real food, virtual food and photographs of food in patients affected by eating disorders. Ann Gen Psychiatry. 2010;9:30. doi: 10.1186/1744-859X-9-30.
    1. Ferrer-Garcia M, Gutierrez-Maldonado J, Caqueo-Urizar A, et al. The validity of virtual environments for eliciting emotional responses in patients with eating disorders and in controls. Behav Modif. 2009;33(6):830–854. doi: 10.1177/0145445509348056.
    1. Powers MB, Emmelkamp PM. Virtual reality exposure therapy for anxiety disorders: a meta-analysis. J Anxiety Disord. 2008;22(3):561–569. doi: 10.1016/j.janxdis.2007.04.006.
    1. Ogourtsova T, Archambault P, Sangani S, et al. Ecological Virtual Reality Evaluation of Neglect Symptoms (EVENS): effects of virtual scene complexity in the assessment of poststroke unilateral spatial neglect. Neurorehabil Neural Repair. 2018;32(1):46–61. doi: 10.1177/1545968317751677.
    1. Persky S. Application of virtual reality methods to obesity prevention and management research. J Diabetes Sci Technol. 2011;5(2):333–339. doi: 10.1177/193229681100500220.
    1. Johnston JD, Massey AP, Devaneaux CA. Innovation in weight loss programs: a 3-dimensional virtual-world approach. J Med Internet Res. 2012;14(5):e120. doi: 10.2196/jmir.2254.
    1. Farmer RF, Chapman AL. American Psychological Association., et al. Behavioral interventions in cognitive behavior therapy: practical guidance for putting theory into action. Second edition. Washington, DC: American Psychological Association; 2016.
    1. Bandura A. Social learning theory of aggression. J Commun. 1978;28(3):12–29. doi: 10.1111/j.1460-2466.1978.tb01621.x.
    1. Gill TM. Education, prevention, and the translation of research into practice. J Am Geriatr Soc. 2005;53(4):724–726. doi: 10.1111/j.1532-5415.2005.53227.x.
    1. Loo RL, Zou X, Appel LJ, Nicholson JK, Holmes E. Characterization of metabolic responses to healthy diets and association with blood pressure: application to the Optimal Macronutrient Intake Trial for Heart Health (OmniHeart), a randomized controlled study. Am J Clin Nutr. 2018;107(3):323–334. doi: 10.1093/ajcn/nqx072.
    1. Wing RR, Jeffery RW, Burton LR, Thorson C, Nissinoff KS, Baxter JE. Food provision vs structured meal plans in the behavioral treatment of obesity. Int J Obes Relat Metab Disord. 1996;20(1):56–62.
    1. Ludwig DS, Ebbeling CB. The carbohydrate-insulin model of obesity: beyond "calories in, calories out". JAMA Intern Med. 2018;178(8):1098–1103. doi: 10.1001/jamainternmed.2018.2933.
    1. Mockus DS, Macera CA, Wingard DL, et al. Dietary self-monitoring and its impact on weight loss in overweight children. Int J Pediatr Obes. 2011;6(3-4):197–205. doi: 10.3109/17477166.2011.590196.
    1. Clark JE. Diet, exercise or diet with exercise: comparing the effectiveness of treatment options for weight-loss and changes in fitness for adults (18-65 years old) who are overfat, or obese; systematic review and meta-analysis. J Diabetes Metab Disord. 2015;14:31. doi: 10.1186/s40200-015-0154-1.
    1. Wilde BE, Sidman CL, Corbin CB. A 10,000-step count as a physical activity target for sedentary women. Res Q Exerc Sport. 2001;72(4):411–414. doi: 10.1080/02701367.2001.10608977.
    1. Brownell KD. Diet, exercise and behavioural intervention: the nonpharmacological approach. Eur J Clin Invest. 1998;28 Suppl 2:19–21. doi: 10.1046/j.1365-2362.1998.0280s2019.x.
    1. Craig M, Dewar M, Della Sala S, et al. Rest boosts the long-term retention of spatial associative and temporal order information. Hippocampus. 2015;25(9):1017–1027. doi: 10.1002/hipo.22424.
    1. Ames GE, Heckman MG, Diehl NN, et al. Further statistical and clinical validity for the Weight Efficacy Lifestyle Questionnaire-Short Form. Eat Behav. 2015;18:115–119. doi: 10.1016/j.eatbeh.2015.05.003.
    1. Gianaros PJ, Muth ER, Mordkoff JT, et al. A questionnaire for the assessment of the multiple dimensions of motion sickness. Aviat Space Environ Med. 2001;72(2):115–119.
    1. Lally P, Gardner B. Promoting habit formation. Health psychol Rev. 2013;7(sup1):S137–SS58. doi: 10.1080/17437199.2011.603640.
    1. Kwasnicka D, Dombrowski SU, White M, Sniehotta F. Theoretical explanations for maintenance of behaviour change: a systematic review of behaviour theories. Health Psychol Rev. 2016;10(3):277–296. doi: 10.1080/17437199.2016.1151372.
    1. Lally P, Van Jaarsveld CHM, Potts HWW, et al. How are habits formed: modelling habit formation in the real world. Eur J Soc Psychol. 2010;40(6):998–1009. doi: 10.1002/ejsp.674.
    1. Cohen JD, Mounsey JP. "Virtual research" may point the way towards future device programming trials. J Cardiovasc Electrophysiol. 2011;22(3):290–292. doi: 10.1111/j.1540-8167.2010.01978.x.
    1. Boswell RG, Kober H. Food cue reactivity and craving predict eating and weight gain: a meta-analytic review. Obes Rev. 2016;17(2):159–177. doi: 10.1111/obr.12354.
    1. Goldschmidt AB, Crosby RD, Cao L, et al. Contextual factors associated with eating in the absence of hunger among adults with obesity. Eat Behav. 2017;26:33–39. doi: 10.1016/j.eatbeh.2017.01.005.
    1. Riva G, Bacchetta M, Cesa G, et al. Is severe obesity a form of addiction? Rationale, clinical approach, and controlled clinical trial. Cyberpsychol Behav. 2006;9(4):457–479. doi: 10.1089/cpb.2006.9.457.
    1. Riva G, Bacchetta M, Baruffi M, et al. Virtual reality-based multidimensional therapy for the treatment of body image disturbances in obesity: a controlled study. Cyberpsychol Behav. 2001;4(4):511–526. doi: 10.1089/109493101750527079.
    1. Riva G, Bacchetta M, Baruffi M, et al. Virtual reality-based experiential cognitive treatment of obesity and binge-eating disorders. Clinical Psychol Psychotherap. 2000; [published Online First: 2000/14/07]. 10.1002/1099-0879(200007)7:3<209::AID-CPP232>;2-V.
    1. Ferrer-Garcia M, Gutierrez-Maldonado J, Riva G. Virtual reality based treatments in eating disorders and obesity: a review. J Contemp Psychotherap. 2013;43(4):207–221. doi: 10.1007/s10879-013-9240-1.
    1. Manzoni GM, Cesa GL, Bacchetta M, et al. Virtual reality-enhanced cognitive-behavioral therapy for morbid obesity: a randomized controlled study with 1 year follow-up. Cyberpsychol Behav Soc Netw. 2016;19(2):134–140. doi: 10.1089/cyber.2015.0208.
    1. Cesa GL, Manzoni GM, Bacchetta M, et al. Virtual reality for enhancing the cognitive behavioral treatment of obesity with binge eating disorder: randomized controlled study with one-year follow-up. J Med Internet Res. 2013;15(6):e113. doi: 10.2196/jmir.2441.
    1. Ershow AG, Peterson CM, Riley WT, et al. Virtual reality technologies for research and education in obesity and diabetes: research needs and opportunities. J Diabetes Sci Technol. 2011;5(2):212–224. doi: 10.1177/193229681100500202.
    1. Ferrer-Garcia M, Gutierrez-Maldonado J, Pla J. Cue-elicited anxiety and craving for food using virtual reality scenarios. Stud Health Technol Inform. 2013;191:105–109.
    1. Bordnick PS, Carter BL, Traylor AC. What virtual reality research in addictions can tell us about the future of obesity assessment and treatment. J Diabetes Sci Technol. 2011;5(2):265–271. doi: 10.1177/193229681100500210.

Source: PubMed

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