DietBet: A Web-Based Program that Uses Social Gaming and Financial Incentives to Promote Weight Loss

Tricia Leahey, Jamie Rosen, Tricia Leahey, Jamie Rosen

Abstract

Background: Web-based commercial weight loss programs are increasing in popularity. Despite their significant public health potential, there is limited research on the effectiveness of such programs.

Objective: The objective of our study was to examine weight losses produced by DietBet and explore whether baseline and engagement variables predict weight outcomes.

Methods: DietBet is a social gaming website that uses financial incentives and social influence to promote weight loss. Players bet money and join a game. All players have 4 weeks to lose 4% of their initial body weight. At enrollment, players can choose to share their participation on Facebook. During the game, players interact with one another and report their weight loss on the DietBet platform. At week 4, all players within each game who lose at least 4% of initial body weight are declared winners and split the pool of money bet at the start of the game. Official weigh-in procedures are used to verify weights at the start of the game and at the end.

Results: From December 2012 to July 2013, 39,387 players (84.04% female, 33,101/39,387; mean weight 87.8kg, SD 22.6kg) competed in 1934 games. The average amount bet was US $27 (SD US $22). A total of 65.63% (25,849/39,387) provided a verified weight at the end of the 4-week competition. The average intention-to-treat weight loss was 2.6% (SD 2.3%). Winners (n=17,171) won an average of US $59 (SD US $35) and lost 4.9% (SD 1.0%) of initial body weight, with 30.68% (5268/17,171) losing 5% or more of their initial weight. Betting more money at game entry, sharing on Facebook, completing more weigh-ins, and having more social interactions during the game predicted greater weight loss and greater likelihood of winning (Ps<.001). In addition, weight loss clustered within games (P<.001), suggesting that players influenced each others' weight outcomes.

Conclusions: DietBet, a social gaming website, reached nearly 40,000 individuals in just 7 months and produced excellent 4-week weight loss results. Given its reach and potential public health impact, future research may consider examining whether a longer program promotes additional weight loss.

Keywords: Web-based intervention; commercial weight loss; financial incentives; social gaming.

Conflict of interest statement

Conflicts of Interest: Mr Rosen is the chief executive officer of DietBet, Inc and receives salary support from the company.

Figures

Figure 1
Figure 1
Intervention screenshot.

References

    1. Stevens GA, Singh GM, Lu Y, Danaei G, Lin JK, Finucane MM, Bahalim AN, McIntire RK, Gutierrez HR, Cowan M, Paciorek CJ, Farzadfar F, Riley L, Ezzati M, Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group (Body Mass Index) National, regional, and global trends in adult overweight and obesity prevalences. Popul Health Metr. 2012;10(1):22. doi: 10.1186/1478-7954-10-22.
    1. Flegal KM, Carroll MD, Ogden CL, Curtin LR. Prevalence and trends in obesity among US adults, 1999-2008. JAMA. 2010 Jan 20;303(3):235–241. doi: 10.1001/jama.2009.2014.
    1. National Institutes of Health Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in Adults--The evidence report. Obes Res. 1998 Sep;6 Suppl 2:51S–209S.
    1. Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, Nathan DM, Diabetes Prevention Program Research Group Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002 Feb 7;346(6):393–403. doi: 10.1056/NEJMoa012512.
    1. Neve M, Morgan PJ, Jones PR, Collins CE. Effectiveness of Web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: A systematic review with meta-analysis. Obes Rev. 2010 Apr;11(4):306–321. doi: 10.1111/j.1467-789X.2009.00646.x.
    1. Saperstein SL, Atkinson NL, Gold RS. The impact of Internet use for weight loss. Obes Rev. 2007 Sep;8(5):459–465. doi: 10.1111/j.1467-789X.2007.00374.x.
    1. Research Center Pew. Pew Research Group. Washington, DC: Pew Internet and American Life Project; [2014-01-22]. Internet adoption 1995-2013 .
    1. Gold BC, Burke S, Pintauro S, Buzzell P, Harvey-Berino J. Weight loss on the Web: A pilot study comparing a structured behavioral intervention to a commercial program. Obesity (Silver Spring) 2007 Jan;15(1):155–164. doi: 10.1038/oby.2007.520.
    1. Collins CE, Morgan PJ, Jones P, Fletcher K, Martin J, Aguiar EJ, Lucas A, Neve M, Callister R. A 12-week commercial Web-based weight-loss program for overweight and obese adults: Randomized controlled trial comparing basic versus enhanced features. J Med Internet Res. 2012;14(2):e57. doi: 10.2196/jmir.1980.
    1. Jeffery RW, French SA. Preventing weight gain in adults: The pound of prevention study. Am J Public Health. 1999 May;89(5):747–751.
    1. Womble LG, Wadden TA, McGuckin BG, Sargent SL, Rothman RA, Krauthamer-Ewing ES. A randomized controlled trial of a commercial internet weight loss program. Obes Res. 2004 Jun;12(6):1011–1018. doi: 10.1038/oby.2004.124.
    1. Leahey TM, Kumar R, Weinberg BM, Wing RR. Teammates and social influence affect weight loss outcomes in a team-based weight loss competition. Obesity (Silver Spring) 2012 Jul;20(7):1413–1418. doi: 10.1038/oby.2012.18.
    1. Linde JA, Jeffery RW, French SA, Pronk NP, Boyle RG. Self-weighing in weight gain prevention and weight loss trials. Ann Behav Med. 2005 Dec;30(3):210–216. doi: 10.1207/s15324796abm3003_5.
    1. Wing RR, Jeffery RW. Benefits of recruiting participants with friends and increasing social support for weight loss and maintenance. J Consult Clin Psychol. 1999 Feb;67(1):132–138.
    1. Perri MG, McAdoo WG, McAllister DA, Lauer JB, Jordan RC, Yancey DZ, Nezu AM. Effects of peer support and therapist contact on long-term weight loss. J Consult Clin Psychol. 1987 Aug;55(4):615–617.
    1. Killip S, Mahfoud Z, Pearce K. What is an intracluster correlation coefficient? Crucial concepts for primary care researchers. Ann Fam Med. 2004;2(3):204–208.
    1. Longin R, Grasse M, Aspalter R, Waldherr K. Effectiveness of the online weight reduction program KiloCoach™ and comparison with other evaluated commercial direct intervention and online programs. Obes Facts. 2012;5(3):372–383. doi: 10.1159/000339726.
    1. Neve M, Morgan PJ, Collins CE. Weight change in a commercial Web-based weight loss program and its association with website use: Cohort study. J Med Internet Res. 2011;13(4):e83. doi: 10.2196/jmir.1756.
    1. Wing RR. Behavioral approaches to the treatment of obesity. In: Bray GA, Bouchard C, editors. Handbook of obesity: clinical applications. New York: Informa Healthcare; 2008. pp. 227–248.
    1. Kahneman D, Knetsch J, Tahler R. Journal of Political Economy. 1990. Experimental tests of the endowment effect and coase theorem .
    1. Jeffery RW, Gerber WM, Rosenthal BS, Lindquist RA. Monetary contracts in weight control: Effectiveness of group and individual contracts of varying size. J Consult Clin Psychol. 1983 Apr;51(2):242–248.
    1. Jeffery RW, Bjornson-Benson WM, Rosenthal BS, Kurth CL, Dunn MM. Behavior Therapy. 1984. [2014-01-24]. Effectiveness of monetary contracts with two repayment schedules on weight reduction in men and women from self-referred and population samples .
    1. Kullgren JT, Troxel AB, Loewenstein G, Asch DA, Norton LA, Wesby L, Tao Y, Zhu J, Volpp KG. Individual- versus group-based financial incentives for weight loss: A randomized, controlled trial. Ann Intern Med. 2013 Apr 2;158(7):505–514. doi: 10.7326/0003-4819-158-7-201304020-00002.
    1. Vanwormer JJ, French SA, Pereira MA, Welsh EM. The impact of regular self-weighing on weight management: A systematic literature review. Int J Behav Nutr Phys Act. 2008;5:54. doi: 10.1186/1479-5868-5-54.
    1. Wing RR, Tate DF, Gorin AA, Raynor HA, Fava JL. A self-regulation program for maintenance of weight loss. N Engl J Med. 2006 Oct 12;355(15):1563–1571. doi: 10.1056/NEJMoa061883.
    1. Ghezzi PA, Lyons CA, Dixon MR. Gambling in socioeconomic perspective. In: Bickel WK, Vuchinich RE, editors. Reframing health behavior change with behavioral economics. Mahwah, N.J: Lawrence Erlbaum; 2000. pp. 313–338.
    1. Nackers LM, Ross KM, Perri MG. The association between rate of initial weight loss and long-term success in obesity treatment: Does slow and steady win the race? Int J Behav Med. 2010 Sep;17(3):161–167. doi: 10.1007/s12529-010-9092-y.
    1. Neve MJ, Collins CE, Morgan PJ. Dropout, nonusage attrition, and pretreatment predictors of nonusage attrition in a commercial Web-based weight loss program. J Med Internet Res. 2010;12(4):e69. doi: 10.2196/jmir.1640.
    1. Federal Trade Commission . Commercial weight loss products and programs: What consumers stand to gain and lose. Washington, DC: Federal Trade Commission; 1997. .

Source: PubMed

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