Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2014 Jan 8.
Published in final edited form as: Games Health J. 2012 Jun 6;1(3):10.1089/g4h.2012.0018. doi: 10.1089/g4h.2012.0018

Is Enhanced Physical Activity Possible Using Active Videogames?

Tom Baranowski 1, Janice Baranowski 1, Teresia O’Connor 1, Amy Shirong Lu 2, Debbe Thompson 1
PMCID: PMC3833366  NIHMSID: NIHMS537716  PMID: 24416640

Abstract

Our research indicated that 10–12-year-old children receiving two active Wii (Nintendo®; Nintendo of America, Inc., Redmond, WA) console videogames were no more physically active than children receiving two inactive videogames. Research is needed on how active videogames may increase physical activity.

Introduction

As we are facing an epidemic of obesity,1 especially among children,2 there is substantial interest in how to increase physical activity (PA), even though lack of PA was not necessarily a primary contributor to the epidemic.3 Active videogames (AVGs) offer a possible method of increasing PA. Laboratory research has demonstrated that when instructed to be active, AVG players attained moderate,46 and even intense,7 workouts. AVGs (especially the Wii [Nintendo®; Nintendo of America, Inc., Redmond, WA]) increased energy expenditure among lean and obese children, but somewhat less so among the obese.8 In more naturalistic circumstances, some AVGs led to increased PA,9,10 some did not,11,12 and some attained initial enthusiasm, but AVG play waned after perhaps a week9 or more (six).13

A recent randomized clinical trial tested the effect of two Wii console AVGs (treatment group) versus two inactive videogames (control group). No differences were detected in objectively assessed PA between groups at any time across 13 weeks of participation.14 This study resulted in over 700 media releases (as monitored by an international media tracking service). Here we will briefly restate the methods and findings, provide a proper interpretation of the results, and identify additional research needed on AVGs eliciting PA.

Methods and Findings from the Original Study

We designed, and obtained National Cancer Institute funding to conduct a pilot or feasibility study.14 We wanted to simulate the effect on PA of obtaining a new Wii AVG under naturalistic circumstances. We expected our results to reflect initial increased PA from an AVG that trailed off over a relatively short time.9 We wanted to test this twice (with two AVGs) to reliably assess the pattern of response. Because indoor PA should be particularly appealing to parents with children who live in unsafe neighborhoods,15 we stratified on the parent’s perceived neighborhood safety. Reflecting the expertise of several co-investigators,16,17 we incorporated several measures of PA parenting practices,18 expecting to predict which children would become more active.

To provide the strongest test, we used a randomized clinical trial (initial n =84, final n =78; 10–12-year-old children). To provide all participants with a game playing experience and an effective incentive to provide data, they received a Wii console, which they could keep contingent on providing complete data for the entire project. To obtain the most objective, currently available measure of PA, we used accelerometers for 5 weeks across the 13-week study. To conduct a clinical trial run-in, we asked all children to provide a week (7 days) of baseline PA data and allowed only those children providing complete data to proceed into the trial. To systematically vary only the PA component of game play, children randomly assigned (after baseline assessment) to the treatment group selected two from five AVGs, whereas the control group selected two from five inactive videogames. Choice was offered to ensure children wanted to play the games selected.19 Project staff reviewed and tested all Wii games touted to promote PA to be sure their game play involved PA and identified five AVGs. Staff reviewed the reported sales data and entertainment industry ratings for Wii games to identify the five most commonly sold (i.e., popular) inactive games that were appropriate for 10–12-year-old children.

Participating children were offered the selection of the first videogame (and all the peripherals necessary to play that game) right after the completion of baseline PA monitoring, followed by a week of accelerometer monitoring at the first and sixth weeks after receiving the game (Weeks 2 and 7 of study), and then offered the choice of a second game, followed by a week of accelerometer monitoring for Weeks 8 and 13. Interviews were conducted with children after Week 13. The Wii console recorded what game was inserted in the console for how long, and the parent was asked to keep a diary of when their child played the games.

To our surprise, the primary finding was no difference in levels of moderate-vigorous or light PA from baseline to Week 13 and no treatment–control group differences at any of the five weeks of accelerometer recording. In the initial screening, almost all parents believed they lived in a safe neighborhood (responses to a single-item question), so we were unable to stratify on perceived neighborhood safety. Using a separate 12-item neighborhood safety questionnaire,20 no relationship was detected between perceived neighborhood safety and outcomes of the study. We tried to assess the possible increase in PA during the minutes of AVG playing but found that we had not calibrated the date on the Wii consoles prior to distributing them (leading to mismatches in date between the parent diaries and the console records); the game consoles did not record the times of cartridge insertion; and game cartridges were often left in the consoles for long periods, which meant we could not estimate actual AVG play time. Thus, we could not ascertain if AVG play resulted in increased PA during game play. Interviews at the end revealed that children, siblings, friends, and parents played the games and bought crossover games (e.g., inactive games purchased by those receiving an active game, and vice versa).

Clarifying the Findings

Some of the media stories on our study reported that (1) AVGs cannot lead to increased PA, (2) companies creating AVGs misled consumers, and (3) children “cheated” when playing AVGs. Addressing these issues in order, first, our findings indicate that AVGs did not lead to increased PA. Limitations of our study were that we provided no instructions/prescriptions to be physically active, had too small a sample to be definitive, used only one AVG console (and thereby only one way of monitoring active game play), and involved only 10–12 year olds (results may have differed with other age groups) and that we recruited participants late in the diffusion curve of Wii purchases.21 Children early in the diffusion curve might have used the games more actively. Thus, our results provided only a limited picture of what is possible with AVGs.

Second, companies created these games to make a profit. They believed that some children would enjoy the screen actions associated with the games and that the game activities were a means to enhance game enjoyment. Nintendo ads emphasize families and fun. It is the public health community that expected PA health-related benefits from AVGs. There appears to be little that was misleading from the companies. Other AVG consoles with other ways of monitoring game-related PA may result in increased PA.

Third, while we know that many of our participants, families, siblings, and friends played the AVGs,14 we do not know if they found inactive ways (e.g., active wrist movement) to gain the enjoyment of games (and thereby minimized their activity), or they compensated later in the day for increased activity from the games (as suggested from physical education in SPARK22). This is a critical point for understanding our results that we could not address.

Needed Research

Anyone interested in addressing the same issues, but minimizing the problems, will need to:

  • identify a fool-proof method of synchronizing times of AVG play with accelerometer data

  • conduct power calculations to detect what will likely be small effect sizes

  • study one of the many new AVG consoles or games for which children will be earlier in the diffusion curve and which may more thoroughly require PA to advance game play (e.g., the Kinect for Xbox 360 [Microsoft, Redmond, WA])

AVGs have led to increased PA when incorporated into therapeutic programs23 or when the participants were instructed, or prescribed, to use AVGs actively.24 Thus, future research should systematically vary the nature of the instructions/prescriptions and monitor the maintenance of PA over time. There is some evidence that AVGs played socially/competitively lead to more and longer maintained activity.9 Because people differ in their sociability or desire for social contacts,25 it would be important to understand what types of people would be more physically active under what social, collaborative, or competitive circumstances.

AVGs appear to induce PA by movement to obtain the fun (a reward) of playing the game. Sometimes, fun is in the form of competition. Figure 1 presents a graphical representation of how gamification principles26 in an AVG may induce PA. A player would need to be motivated (want to) play an AVG. There have been two generic types of motivation: Intrinsic (wanting to do something because it is enjoyable) and extrinsic (wanting to so something to get an external reward).27 Games may involve both types of motivation. Playing the AVG would constitute exposure, which might lead to immersion in game play, which maintains PA. PA moves the screen activity (for example, boxing games provide an opportunity to “knock out” an opponent, and bowling games can knock down bowling pins), which is often experienced as enjoyable or fun (i.e., intrinsically motivating). Points are also accumulated, which is a reward and a form of feedback about performance28; comparing one’s point total with others’ point totals on a leader board may also be a form of reward, at least for competitive individuals.29 Increasing levels of a game leads to increased perceived challenge, which would mean increased perceived competence, which would increase intrinsic motivation to play. Interactivity in videogames activated the reward regions of the brain more than exposure to a game’s vivid and dynamic sensory stimulation.30 This model is speculative and requires extensive research to verify or expand pathways and does not explain why AVG play might decline after a week or two (e.g., negative feedback loops will be needed for that), nor what constitutes “fun” in an AVG.31

FIG. 1.

FIG. 1

Gamification principles for understanding activity in single-player active videogames (AVGs).

Understanding how videogames induce behavior change can lead to more effective games. Other models have been proposed of how story-based videogames may engage players, induce health-related behavior changes, and identify corresponding intervention procedures.32 Research on media or game transportation (also called immersion) indicates that a story or narrative can capture, immerse, and focus a player’s attention.33,34 Most AVGs have little or no story. Marrying a story with AVG play (e.g., requiring activity to move the story35 or offering surprises during usual activity) offers promise of encouraging more and maintaining higher levels of activity. Alternatively, story/narrative did not enhance science learning,36 so the role of narrative is an important issue for research. Twenty-six different behavior change techniques or procedures have been identified for encouraging PA behavior change.37 Research is needed on which of these procedures are appropriate for incorporating into videogames, and whether they result in behavior change.

While games that effectively increase PA may be designed, methods for delivering these games to broad groups of children who might benefit from them (a program’s reach38) must also be developed. A business model that allows entrepreneurs to financially benefit from their distribution (and preferably also from their development) has been the hope of some. Neither children nor parents, however, have purchased enough healthy videogames to make it profitable. Other distribution channels, along with incentives for developing more such games, are urgently needed.

The primary focus in this article has been to increase PA for health promotion/obesity prevention, primarily among children. AVGs have also been used to enhance cognitive function among children,3941 encourage activity among seniors,42 enhance range of motion,43 or minimize cognitive deficits associated with aging.44 AVG effects on these and other health outcomes in other populations must also be aggressively researched.

Conclusions

Our recent finding that children receiving new AVGs did not lead to increased all-day PA under naturalistic circumstances does not mean that AVG cannot be used to increase PA, nor that certain AVG designs could not lead to more PA. We are in the earliest stages of understanding optimal activity promoting AVG design for different health and mental outcomes, and how this interacts with different circumstances or conditions of AVG use, by different types of users. Exciting research opportunities beckon.

Acknowledgments

This work was funded by grant CA 140670 from the National Cancer Institute, National Institutes of Health. This work is also a publication of the U.S. Department of Agriculture (USDA/ARS) Children’s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, and had been funded in part with federal funds from the USDA/ARS under Cooperative Agreement Number 58-6250-6001.

Footnotes

The contents of this publication do not necessarily reflect the views or policies of the U.S. Department of Agriculture, nor does mention of trade names, commercial products, or organizations imply endorsement from the U.S. Government.

Author Disclosure Statement

The authors have no conflicts of interest in regard to this article.

References

  • 1.Flegal KM, Carroll MD, Kit BK, et al. Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999–2010. JAMA. 2012;307:491–497. doi: 10.1001/jama.2012.39. [DOI] [PubMed] [Google Scholar]
  • 2.Ogden CL, Carroll MD, Kit BK, et al. Prevalence of obesity and trends in body mass index among US children and adolescents, 1999–2010. JAMA. 2012;307:483–490. doi: 10.1001/jama.2012.40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Bleich SN, Ku R, Wang YC. Relative contribution of energy intake and energy expenditure to childhood obesity: A review of the literature and directions for future research. Int J Obes (Lond) 2011;35:1–15. doi: 10.1038/ijo.2010.252. [DOI] [PubMed] [Google Scholar]
  • 4.Graves LE, Rodgers ND, Williams K, et al. The physiological cost and enjoyment of Wii Fit in adolescents, young adults, and older adults. J Phys Act Health. 2010;7:393–401. doi: 10.1123/jpah.7.3.393. [DOI] [PubMed] [Google Scholar]
  • 5.Howe CA, Freedson PS, Feldman HA, et al. Energy expenditure and enjoyment of common children’s games in a simulated free-play environment. J Pediatr. 2010;157:936–942. e1–e2. doi: 10.1016/j.jpeds.2010.06.041. [DOI] [PubMed] [Google Scholar]
  • 6.Barnett A, Cerin E, Baranowski T. Active video games for youth: A systematic review. J Phys Act Health. 2011;8:724–737. doi: 10.1123/jpah.8.5.724. [DOI] [PubMed] [Google Scholar]
  • 7.Bailey BW, McInnis K. Energy cost of exergaming: A comparison of the energy cost of 6 forms of exergaming. Arch Pediatr Adolesc Med. 2011;165:597–602. doi: 10.1001/archpediatrics.2011.15. [DOI] [PubMed] [Google Scholar]
  • 8.Mitre N, Foster RC, Lanningham-Foster L, et al. The energy expenditure of an activity-promoting video game compared to sedentary video games and TV watching. J Pediatr Endocrinol Metab. 2011;24:689–695. doi: 10.1515/jpem.2011.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Madsen KA, Yen S, Wlasiuk L, et al. Feasibility of a dance videogame to promote weight loss among overweight children and adolescents. Arch Pediatr Adolesc Med. 2007;161:105–107. doi: 10.1001/archpedi.161.1.105-c. [DOI] [PubMed] [Google Scholar]
  • 10.Ni Mhurchu C, Maddison R, Jiang Y, et al. Couch potatoes to jumping beans: A pilot study of the effect of active video games on physical activity in children. Int J Behav Nutr Phys Act. 2008;5:8. doi: 10.1186/1479-5868-5-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Maddison R, Foley L, Ni Mhurchu C, et al. Effects of active video games on body composition: A randomized controlled trial. Am J Clin Nutr. 2011;94:156–163. doi: 10.3945/ajcn.110.009142. [DOI] [PubMed] [Google Scholar]
  • 12.Maloney AE, Bethea TC, Kelsey KS, et al. A pilot of a video game (DDR) to promote physical activity and decrease sedentary screen time. Obesity (Silver Spring) 2008;16:2074–2080. doi: 10.1038/oby.2008.295. [DOI] [PubMed] [Google Scholar]
  • 13.Owens SG, Garner JC, 3rd, Loftin JM, et al. Changes in physical activity and fitness after 3 months of home Wii Fit use. J Strength Cond Res. 2011;25:3191–3197. doi: 10.1519/JSC.0b013e3182132d55. [DOI] [PubMed] [Google Scholar]
  • 14.Baranowski T, Abdelsamad D, Baranowski J, et al. Impact of an active video game on healthy children’s physical activity. Pediatrics. 2012;129:e636–e642. doi: 10.1542/peds.2011-2050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Jarrett RL, Bahar OS, Taylor MA. “Holler, run, be loud:” Strategies for promoting child physical activity in a low-income, African American neighborhood. J Fam Psychol. 2011;25:825–836. doi: 10.1037/a0026195. [DOI] [PubMed] [Google Scholar]
  • 16.O’Connor T, Watson K, Hughes S, et al. Health professionals’ and dietetics practitioners’ perceived effectiveness of fruit and vegetable parenting practices across six countries. J Am Diet Assoc. 2010;110:1065–1071. doi: 10.1016/j.jada.2010.04.003. [DOI] [PubMed] [Google Scholar]
  • 17.O’Connor TM, Jago R, Baranowski T. Engaging parents to increase youth physical activity: A systematic review. Am J Prev Med. 2009;37:141–149. doi: 10.1016/j.amepre.2009.04.020. [DOI] [PubMed] [Google Scholar]
  • 18.Jago R, Davison KK, Brockman R, et al. Parenting styles, parenting practices, and physical activity in 10- to 11-year olds. Prev Med. 2011;52:44–47. doi: 10.1016/j.ypmed.2010.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Roemmich JN, Lambiase MJ, McCarthy TF, et al. Autonomy supportive environments and mastery as basic factors to motivate physical activity in children: A controlled laboratory study. Int J Behav Nutr Phys Act. 2012;9:16. doi: 10.1186/1479-5868-9-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Timperio A, Crawford D, Telford A, et al. Perceptions about the local neighborhood and walking and cycling among children. Prev Med. 2004;38:39–47. doi: 10.1016/j.ypmed.2003.09.026. [DOI] [PubMed] [Google Scholar]
  • 21.Rogers EM, Shoemaker FF. Communication of Innovations: A Cross-Cultural Approach. New York: Free Press; 1971. [Google Scholar]
  • 22.Sallis JF, McKenzie TL, Alcaraz JE, et al. The effects of a 2-year physical education program (SPARK) on physical activity and fitness in elementary school students. Am J Public Health. 1997;87:1328–1334. doi: 10.2105/ajph.87.8.1328. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Laver K, George S, Ratcliffe J, et al. Use of an interactive video gaming program compared with conventional physiotherapy for hospitalised older adults: A feasibility trial. Disabil Rehabil. 2012 doi: 10.3109/09638288.2012.662570. Epub ahead of print. [DOI] [PubMed] [Google Scholar]
  • 24.Paez S, Maloney A, Kelsey K, et al. Parental and environmental factors associated with physical activity among children participating in an active video game. Pediatr Phys Ther. 2009;21:245–253. doi: 10.1097/PEP.0b013e3181b13a82. [DOI] [PubMed] [Google Scholar]
  • 25.Caldwell HK. Neurobiology of sociability. Adv Exp Med Biol. 2012;739:187–205. doi: 10.1007/978-1-4614-1704-0_12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Bunchball. [accessed April 16, 2012];Gamification 101: An Introduction to the Use of Game Dynamics to Influence Behavior. 2010 www.bunch-ball.com/gamification/gamification101.pdf.
  • 27.Ryan RM, Deci EL. Self-regulation and the problem of human autonomy: Does psychology need choice, self-determination, and will? J Pers. 2006;74:1557–1585. doi: 10.1111/j.1467-6494.2006.00420.x. [DOI] [PubMed] [Google Scholar]
  • 28.Charles D, Charles T, McNeill M, et al. Game-based feedback for educational multi-user virtual environments. Br J Educ Technol. 2011;42:638–654. [Google Scholar]
  • 29.Anderson-Hanley C, Snyder AL, Nimon JP, et al. Social facilitation in virtual reality-enhanced exercise: Competitiveness moderates exercise effort of older adults. Clin Interv Aging. 2011;6:275–280. doi: 10.2147/CIA.S25337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Cole SW, Yoo DJ, Knutson B. Interactivity and reward-related neural activation during a serious videogame. PLoS One. 2012;7:e33909. doi: 10.1371/journal.pone.0033909. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Rigby S, Ryan RM. Glued to Games: How Video Games Draw Us In and Hold Us Spellbound. Santa Barbara, CA: Praeger; 2011. [Google Scholar]
  • 32.Baranowski T, Baranowski J, Thompson D, et al. Behavioral science in video games for children’s diet and physical activity change: Key research needs. J Diabetes Sci Technol. 2011;5:229–233. doi: 10.1177/193229681100500204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Lu AS, Thompson D, Baranowski J, et al. Story immersion in a health videogame for child obesity prevention. Games Health J. 2012;1:37–44. doi: 10.1089/g4h.2011.0011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Lu AS, Baranowski T, Thompson D, et al. Story immersion of video games for youth health promotion: A review of literature. Games Health J. 2012;1:199–204. doi: 10.1089/g4h.2011.0012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Lyons EJ, Tate DF, Ward DS, et al. Do motion controllers make action video games less sedentary? A randomized experiment. J Obes. 2012;2012:852147. doi: 10.1155/2012/852147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Adams DM, Mayer RE, MacNamara A, et al. Narrative games for learning: Testing the discovery and narrative hypotheses. J Educ Psychol. 2012;104:235–249. [Google Scholar]
  • 37.Michie S, Ashford S, Sniehotta FF, et al. A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy. Psychol Health. 2011;26:1479–1498. doi: 10.1080/08870446.2010.540664. [DOI] [PubMed] [Google Scholar]
  • 38.Baranowski T, Jago R. Understanding the mechanisms of change in children’s physical activity programs. Exerc Sport Sci Rev. 2005;33:163–168. doi: 10.1097/00003677-200510000-00003. [DOI] [PubMed] [Google Scholar]
  • 39.Best JR. Exergaming immediately enhances children’s executive function. Dev Psychol. 2011 doi: 10.1037/a0026648. Epub ahead of print. [DOI] [PubMed] [Google Scholar]
  • 40.Staiano AE, Abraham AA, Calvert SL. Competitive versus cooperative exergame play for African American adolescents’ executive function skills: Short-term effects in a long-term training intervention. Dev Psychol. 2012;48:337–342. doi: 10.1037/a0026938. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Green CS, Bavelier D. Action video game modifies visual selective attention. Nature. 2003;423:534–537. doi: 10.1038/nature01647. [DOI] [PubMed] [Google Scholar]
  • 42.Maillot P, Perrot A, Hartley A. Effects of interactive physical-activity video-game training on physical and cognitive function in older adults. Psychol Aging. 2011 doi: 10.1037/a0026268. Epub ahead of print. [DOI] [PubMed] [Google Scholar]
  • 43.Parry IS, Bagley A, Kawada J, et al. Commercially available interactive video games in burn rehabilitation: Therapeutic potential. Burns. 2012;38:493–500. doi: 10.1016/j.burns.2012.02.010. [DOI] [PubMed] [Google Scholar]
  • 44.Maillot P, Perrot A, Hartley A. The effects of video games on cognitive aging [in French] Geriatr Psychol Neuropsychiatr Vieil. 2012;10:83–94. doi: 10.1684/pnv.2012.0317. [DOI] [PubMed] [Google Scholar]

RESOURCES