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Choice of interactive dance and bicycle games in overweight and nonoverweight youth

  • Published:
Annals of Behavioral Medicine

Abstract

Background: Interactive video games are a popular alternative to physical activity in youth. One advancement in computer games are interactive games that use physical activity as a game playing controller, combining exercise and entertainment, or exertainment.Purpose: This study tested the reinforcing value and activity levels of interactive dance and bicycle race games in 18 overweight and 17 non-overweight 8- to 12-year-old youth.Methods: Reinforcing value was studied using a behavioral choice paradigm that provided children the opportunity to respond on progressive ratio schedules of reinforcement for a choice of either playing the video dance or bicycle game using a handheld video game controller or one of three options: dancing or bicycling alone, dancing or bicycling while watching a video, or playing the interactive dance or bicycle game. Reinforcing value was defined in relationship to the amount of responding children engaged in for either choice.Results: Results showed the interactive dance game was more reinforcing than dancing alone or dancing while watching the video (p=.003), but there was no difference across bicycling conditions. Nonoverweight youth were more active when given the opportunity to play the interactive dance game than overweight children (p=.05).Conclusions: These results suggest that children may be motivated to be active when given the opportunity to play an interactive dance game.

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References

  1. Sallis JF, Prochaska JJ, Taylor WC, Hill JO, Geraci JC: Correlates of physical activity in a national sample of girls and boys in grades 4 through 12.Health Psychology. 1999,18:410–415.

    Article  PubMed  CAS  Google Scholar 

  2. Dishman RK, Motl RW, Saunders R, et al.: Enjoyment mediates effects of a school-based physical-activity intervention.Medicine and Science in Sports and Exercise. 2005,37:478–487.

    Article  PubMed  Google Scholar 

  3. Epstein LH, Smith JA, Vara LS, Rodefer JS: Behavioral economic analysis of activity choice in obese children.Health Psychology. 1991,10:311–316.

    Article  PubMed  CAS  Google Scholar 

  4. Saelens BE, Epstein LH: The rate of sedentary activities determines the reinforcing value of physical activity.Health Psychology. 1999,18:655–659.

    Article  PubMed  CAS  Google Scholar 

  5. Goldfield GS, Kalakanis LE, Ernst MM, Epstein LH: Open-loop feedback to increase physical activity in obese children.International Journal of Obesity and Related Metabolic Disorders. 2000,24:888–892.

    Article  PubMed  CAS  Google Scholar 

  6. Faith MS, Berman N, Heo M, et al.: Effects of contingent television on physical activity and television viewing in obese children.Pediatrics. 2001,107:1043–1048.

    Article  PubMed  CAS  Google Scholar 

  7. Vorderer P, Klimmt C, Ritterfeld U: Enjoyment: At the heart of media entertainment.Communication Theory. 2004,14:388–408.

    Article  Google Scholar 

  8. Sherry JL: Flow and media enjoyment.Communication Theory. 2004,14:328–347.

    Article  Google Scholar 

  9. Armstrong N, Balding J, Gentle P, Kirby B: Patterns of physical activity among 11 to 16 year old British children.British Medical Journal. 1990,301:203–205.

    Article  PubMed  CAS  Google Scholar 

  10. Sunnegardh J, Bratteby LE, Sjolin S: Physical activity and sports involvement in 8- and 13-year-old children in Sweden.Acta Paediatrica Scandinavica. 1985,74:904–912.

    Article  PubMed  CAS  Google Scholar 

  11. Maffeis C, Zaffanello M, Schutz Y: Relationship between physical inactivity and adiposity in prepubertal boys.Journal of Pediatrics. 1997,131:288–292.

    Article  PubMed  CAS  Google Scholar 

  12. Rowlands AV, Eston RG, Ingledew DK: Relationship between activity levels, aerobic fitness, and body fat in 8- to 10-yr-old children.Journal of Applied Physiology. 1999,86:1428–1435.

    PubMed  CAS  Google Scholar 

  13. De Bourdeaudhuij I, Crombez G, Deforche B, et al.: Effects of distraction on treadmill running time in severely obese children and adolescents.International Journal of Obesity and Related Metabolic Disorders. 2002,26:1023–1029.

    Article  PubMed  Google Scholar 

  14. Hollingshead AB:Four Factor Index of Social Status. New Haven, CT: Yale University, 1975.

    Google Scholar 

  15. Kuczmarski RJ, Ogden CL, Guo SS, et al.: CDC growth charts for the United States: Methods and development. In,Vital Health Statistics. (Series 11, Vol. 246). Hyattsville, MD: National Center for Health Statistics, 2002, 1–90.

    Google Scholar 

  16. King GA, Torres N, Potter C, Brooks TJ, Coleman KJ: Comparison of activity monitors to estimate energy cost of treadmill exercise.Medicine and Science in Sports and Exercise. 2004,36:1244–1251.

    Article  PubMed  Google Scholar 

  17. Welk GJ, Almeida J, Morss G: Laboratory calibration and validation of the Biotrainer and Actitrac activity monitors.Medicine and Science in Sports and Exercise. 2003,35:1057–1064.

    Article  PubMed  Google Scholar 

  18. Roemmich JN, Epstein LH, Raja S, Yin L: The neighborhood and home environments: Disparate relationships with physical activity and sedentary behaviors in youth. Manuscript submitted for publication.

  19. Systat Software: Systat 11.0. Richmond, CA: SYSTAT Software, Inc., 2004.

  20. Berridge KC: Food reward: Brain substrates of wanting and liking.Neuroscience and Biobehavioral Reviews. 1996,20:1–25.

    Article  PubMed  CAS  Google Scholar 

  21. Epstein LH, Wright SM, Paluch RA, et al.: Food hedonics and reinforcement as determinants of laboratory food intake in smokers.Physiology and Behavior. 2004,81:511–517.

    Article  PubMed  CAS  Google Scholar 

  22. Kelley AE, Berridge KC: The neuroscience of natural rewards: relevance to addictive drugs.Journal of Neuroscience. 2002,22:3306–3311.

    PubMed  CAS  Google Scholar 

  23. Epstein LH, Saelens BE: Behavioral economics of obesity: Food intake and energy expenditure. In Bickel WK, Vuchinich RE (eds),Reframing Health Behavior Change With Behavioral Economics. Mahwah, NJ: Lawrence Erlbaum Associates, Inc., 2000, 293–311.

    Google Scholar 

  24. Bickel WK, Marsch LA, Carroll ME: Deconstructing relative reinforcing efficacy and situating the measures of pharmacological reinforcement with behavioral economics: a theoretical proposal.Psychopharmacology. 2000,153:44–56.

    Article  PubMed  CAS  Google Scholar 

  25. Robinson TN, Killen JD, Kraemer HC, et al.: Dance and reducing television viewing to prevent weight gain in African-American girls: The Stanford GEMS pilot study.Ethnicity and Disease. 2003,13:S65–77.

    PubMed  Google Scholar 

  26. Koepp MJ, Gunn RN, Lawrence AD, et al.: Evidence for striatal dopamine release during a video game.Nature. 1998,393:266–268.

    Article  PubMed  CAS  Google Scholar 

  27. Schultz W, Dayan P, Montague PR: A neural substrate of prediction and reward.Science. 1997,275:1593–1599.

    Article  PubMed  CAS  Google Scholar 

  28. Schultz W: Predictive reward signal of dopamine neurons.Journal of Neurophysiology. 1998,80:1–27.

    PubMed  CAS  Google Scholar 

  29. Trost SG, Pate RR, Saunders R, et al.: A prospective study of the determinants of physical activity in rural fifth-grade children.Preventive Medicine. 1997,26:257–263.

    Article  PubMed  CAS  Google Scholar 

  30. Sallis JF, Prochaska JJ, Taylor WC: A review of correlates of physical activity of children and adolescents.Medicine and Science in Sports and Exercise. 2000,32:963–975.

    PubMed  CAS  Google Scholar 

  31. Stucky-Ropp RC, DiLorenzo TM: Determinants of exercise in children.Preventive Medicine. 1993,22:880–889.

    Article  PubMed  CAS  Google Scholar 

  32. Graf C, Koch B, Kretschmann-Kandel E, et al.: Correlation between BMI, leisure habits and motor abilities in childhood (CHILT-project).International Journal of Obesity and Related Metabolic Disorders. 2004,28:22–26.

    Article  PubMed  CAS  Google Scholar 

  33. Petrolini N, Iughetti L, Bernasconi S: Difficulty in visual motor coordination as a possible cause of sedentary behaviour in obese children.International Journal of Obesity and Related Metabolic Disorders. 1995,19:928.

    PubMed  CAS  Google Scholar 

  34. Okely AD, Booth ML, Patterson JW: Relationship of physical activity to fundamental movement skills among adolescents.Medicine and Science in Sports and Exercise. 2001,33:1899–1904.

    Article  PubMed  CAS  Google Scholar 

  35. Cairney J, Hay JA, Faught BE, et al.: Developmental coordination disorder, generalized self-efficacy toward physical activity, and participation in organized and free play activities.Journal of Pediatrics. 2005,147:515–520.

    Article  PubMed  Google Scholar 

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Correspondence to Leonard H. Epstein Ph.D..

Additional information

This study was funded by National Institute of Child Health and Human Development grant HD39778 awarded to Dr. Epstein. Appreciation is expressed to Sarah Jean Salvy, Ph.D. for comments on an earlier draft of this article.

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Epstein, L.H., Beecher, M.D., Graf, J.L. et al. Choice of interactive dance and bicycle games in overweight and nonoverweight youth. ann. behav. med. 33, 124–131 (2007). https://doi.org/10.1007/BF02879893

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  • DOI: https://doi.org/10.1007/BF02879893

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