Development of an Exergame to Deliver a Sustained Dose of High-Intensity Training: Formative Pilot Randomized Trial

Thomas McBain, Matthew Weston, Paul Crawshaw, Catherine Haighton, Iain Spears, Thomas McBain, Matthew Weston, Paul Crawshaw, Catherine Haighton, Iain Spears

Abstract

Background: Sport science can play a critical role in reducing health inequalities. The inverse relationship between life expectancy, cardiorespiratory fitness, and socioeconomic status could be addressed by performing high-intensity training (HIT), delivered in a class salient and accessible approach. Commercially available exergames have shown encouraging compliance rates but are primarily designed for entertainment purposes rather than focusing on health-related outcomes. A serious game tailored toward delivering an exercise stimulus, while reducing the aversive protocols associated with HIT, could be beneficial to engage and improve health outcomes in socially deprived males.

Objective: The aims of this study were to develop an exergame capable of delivering HIT and evaluate the effect on selected health outcomes in men recruited in regions of socioeconomic deprivation.

Methods: We conducted an exploratory trial in our target population, and participants were allocated to intervention (n=14) or control groups (n=10) by third-party minimization. The intervention was a 6-week training program consisting of three sessions of exergaming per week. The sessions involved a structured warm-up, then brief intermittent repetitions in the form of boxing rounds (10 s, 20 s, and 30 s) against their peers with a work/rest ratio of 0.25.

Results: Retention to the intervention was 87.5% (21/24). Over the duration of the intervention, session attendance was 67.5% (170/252); repetition mean and peak heart rates (% of maximal) and session ratings of perceived exertion (AU, arbitrary units) were 86.3 (5.4%), 89.9 (6.1%), and 7.5 (2.2 AU), respectively. The effect of the intervention, when compared with the control, was a likely small beneficial improvement in predicted maximum oxygen consumption (VO2 max, 3.0; 90% confidence limits ±2.6%). Effects on body mass, waist circumference, and blood pressure were either trivial or unclear.

Conclusions: Over the 6-week intervention, the exergame delivered a consistent and sustained dose of HIT, with some beneficial effects on aerobic fitness in the target population.

Trial registration: ClinicalTrials.gov NCT03477773; https://ichgcp.net/clinical-trials-registry/NCT03477773 (Archived by WebCite at http://www.webcitation.org/6yDLgVs35).

Keywords: boxing; heart rate; high-intensity interval training; metabolic syndrome; video games.

Conflict of interest statement

Conflicts of Interest: None declared.

©Thomas McBain, Matthew Weston, Paul Crawshaw, Catherine Haighton, Iain Spears. Originally published in JMIR Serious Games (http://games.jmir.org), 27.03.2018.

Figures

Figure 1
Figure 1
The exergaming system comprising hardware and software with real-time avatar mapping.
Figure 2
Figure 2
Machine state variables used in controlling the game.
Figure 3
Figure 3
The three visual outputs communicating instructions and actual game play to the users.
Figure 4
Figure 4
Participant flow though the trial.
Figure 5
Figure 5
Group mean (large open squares) and individual (small closed triangles) heart rates (session mean and session peak) and ratings of perceived exertion (RPE) across the 6-week exergaming intervention period (session numbers 1-18). AU: arbitrary unit.

References

    1. Research Excellence Framework. 2017. [2017-03-10]. Panel overview reports, REF 2014
    1. Smith GD, Blane D, Bartley M. Explanations for socio-economic differentials in mortality. Eur J Public Health. 1994;4(2):131–144. doi: 10.1093/eurpub/4.2.131.
    1. Crawshaw P. Critical perspectives on the health of men: lessons from medical sociology. Crit Public Health. 2009 Sep;19(3-4):279–285. doi: 10.1080/09581590902941507.
    1. Lee D, Artero EG, Sui X, Blair SN. Mortality trends in the general population: the importance of cardiorespiratory fitness. J Psychopharmacol. 2010 Nov;24(4 Suppl):27–35. doi: 10.1177/1359786810382057.
    1. Weston M, Taylor KL, Batterham AM, Hopkins WG. Effects of low-volume high-intensity interval training (HIT) on fitness in adults: a meta-analysis of controlled and non-controlled trials. Sports Med. 2014 Jul;44(7):1005–17. doi: 10.1007/s40279-014-0180-z.
    1. Little JP, Jung ME, Wright AE, Wright W, Manders RJ. Effects of high-intensity interval exercise versus continuous moderate-intensity exercise on postprandial glycemic control assessed by continuous glucose monitoring in obese adults. Appl Physiol Nutr Metab. 2014 Jul;39(7):835–41. doi: 10.1139/apnm-2013-0512.
    1. Gibala MJ, Little JP, Macdonald MJ, Hawley JA. Physiological adaptations to low-volume, high-intensity interval training in health and disease. J Physiol. 2012 Mar 01;590(5):1077–84. doi: 10.1113/jphysiol.2011.224725. doi: 10.1113/jphysiol.2011.224725.
    1. Sloth M, Sloth D, Overgaard K, Dalgas U. Effects of sprint interval training on VO2max and aerobic exercise performance: A systematic review and meta-analysis. Scand J Med Sci Sports. 2013 Dec;23(6):e341–52. doi: 10.1111/sms.12092.
    1. Baquet G, Gamelin F, Mucci P, Thévenet D, Van Praagh E, Berthoin S. Continuous vs. interval aerobic training in 8- to 11-year-old children. Journal of Strength and Conditioning Research. 2010;24(5):1381–1388. doi: 10.1519/jsc.0b013e3181d1575a.
    1. Barker AR, Day J, Smith A, Bond B, Williams CA. The influence of 2 weeks of low-volume high-intensity interval training on health outcomes in adolescent boys. J Sports Sci. 2014 Jan;32(8):757–65. doi: 10.1080/02640414.2013.853132.
    1. Lau PW, Wong DP, Ngo JK, Liang Y, Kim CG, Kim HS. Effects of high-intensity intermittent running exercise in overweight children. Eur J Sport Sci. 2015 Jul;15(2):182–90. doi: 10.1080/17461391.2014.933880.
    1. McManus AM, Cheng CH, Leung MP, Yung TC, Macfarlane DJ. Improving aerobic power in primary school boys: a comparison of continuous and interval training. Int J Sports Med. 2005 Nov;26(9):781–6. doi: 10.1055/s-2005-837438.
    1. Biddle SJ, Batterham AM. High-intensity interval exercise training for public health: a big HIT or shall we HIT it on the head? Int J Behav Nutr Phys Act. 2015 Jul 18;12:95. doi: 10.1186/s12966-015-0254-9.
    1. Liang Y, Lau PW. Effects of active videogames on physical activity and related outcomes among healthy children: a systematic review. Games Health J. 2014 Jun;3(3):122–44. doi: 10.1089/g4h.2013.0070.
    1. Gschwind YJ, Eichberg S, Marston HR, Ejupi A, Rosario HD, Kroll M, Drobics M, Annegarn J, Wieching R, Lord SR, Aal K, Delbaere K. ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial. BMC Geriatr. 2014 Aug 20;14:91. doi: 10.1186/1471-2318-14-91.
    1. Nelson KM, Reiber G, Boyko EJ. Diet and exercise among adults with type 2 diabetes: findings from the Third National Health and Nutrition Examination Survey (NHANES III) Diabetes Care. 2002 Oct 01;25(10):1722–1728. doi: 10.2337/diacare.25.10.1722.
    1. Owen N, Leslie E, Salmon J, Fotheringham M. Environmental determinants of physical activity and sedentary behavior. Exerc Sport Sci Rev. 2000;28(4):153–158.
    1. Peng W, Crouse JC, Lin J. Using active video games for physical activity promotion: a systematic review of the current state of research. Health Educ Behav. 2013 Apr;40(2):171–92. doi: 10.1177/1090198112444956.
    1. Ashker S. Technical and tactical aspects that differentiate winning and losing performances in boxing. IntJ Perform Anal Sport. 2017 Apr 03;11(2):356–364. doi: 10.1080/24748668.2011.11868555.
    1. Fulton J. “What's your worth?”; The development of capital in British boxing. Eur J Sport Soc. 2016 Mar 31;8(3):193–218. doi: 10.1080/16138171.2011.11687878.
    1. Sugden J. Boxing and Society: An International Analysis. Manchester and New York: Manchester University Press; 1996. p. A.
    1. Geforce. [2017-03-10]. .
    1. Unity3d. 2017. [2017-03-10]. Unity - Game Engine
    1. Gerling KM. Motion-based game interaction for older adults/Bewegungsbasierte spielinteraktion für senioren. J Interact Med. 2013 Jan;12(2) doi: 10.1515/icom.2013.0012.
    1. Skjæret N, Nawaz A, Morat T, Schoene D, Helbostad JL, Vereijken B. Exercise and rehabilitation delivered through exergames in older adults: An integrative review of technologies, safety and efficacy. Int J Med Inform. 2016 Jan;85(1):1–16. doi: 10.1016/j.ijmedinf.2015.10.008.
    1. Seiler S, Shetlelid KJ. The impact of rest duration on work intensity and RPE during interval training. Med Sci Sport Exerc. 2005;37(9):1601–1607. doi: 10.1249/01.mss.0000177560.18014.d8.
    1. White A, Cash K. Bradford Health of Men Partnership Board. Leeds Metropolitan University; 2005. [2018-02-27]. Report on the first phase of the study on men's usage of the Bradford Health of Men services .
    1. American College of Sports Medicine . ACSM's Resource Manual For Guidelines For Exercise Testing And Prescription. 7th ed. Philadelphia: Lippincott Williams & Wilkins; 2012.
    1. National Institute for Health and Care Excellence. 2017. [2017-03-10]. BMI: preventing ill health and premature death in black, Asian and other minority ethnic groups .
    1. Alberti KG, Zimmet P, Shaw J. The metabolic syndrome—a new worldwide definition. Lancet. 2005 Sep;366(9491):1059–1062. doi: 10.1016/s0140-6736(05)67402-8.
    1. Bailey DP, Boddy LM, Savory LA, Denton SJ, Kerr CJ. Associations between cardiorespiratory fitness, physical activity and clustered cardiometabolic risk in children and adolescents: the HAPPY study. Eur J Pediatr. 2012 Mar 15;171(9):1317–1323. doi: 10.1007/s00431-012-1719-3.
    1. World Health Organization. 2005. WHO STEPS surveillance manual: the WHO STEPwise approach to chronic disease risk factor surveillance .
    1. Brage S, Brage N, Franks PW, Ekelund U, Wareham NJ. Reliability and validity of the combined heart rate and movement sensor Actiheart. Eur J Clin Nutr. 2005 Apr;59(4):561–70. doi: 10.1038/sj.ejcn.1602118.
    1. Tanaka H, Monahan KD, Seals DR. Age-predicted maximal heart rate revisited. J Am Coll Cardiol. 2001 Jan;37(1):153–156. doi: 10.1016/s0735-1097(00)01054-8.
    1. Kessler HS, Sisson SB, Short KR. The potential for high-intensity interval training to reduce cardiometabolic disease risk. Sports Med. 2012 Jun 01;42(6):489–509. doi: 10.2165/11630910-000000000-00000.
    1. Milanović Z, Sporiš G, Weston M. Effectiveness of high-intensity interval training (HIT) and continuous endurance training for VO2max improvements: a systematic review and meta-analysis of controlled trials. Sports Med. 2015 Oct;45(10):1469–81. doi: 10.1007/s40279-015-0365-0.
    1. Gibala MJ, McGee SL. Metabolic adaptations to short-term high-intensity interval training: a little pain for a lot of gain? Exerc Sport Sci Rev. 2008 Apr;36(2):58–63. doi: 10.1097/JES.0b013e318168ec1f.
    1. Taylor KL, Weston M, Batterham AM. Evaluating intervention fidelity: an example from a high-intensity interval training study. PLoS One. 2015 Apr;10(4):e0125166. doi: 10.1371/journal.pone.0125166.
    1. Seiler S, Jøranson K, Olesen BV, Hetlelid KJ. Adaptations to aerobic interval training: interactive effects of exercise intensity and total work duration. Scand J Med Sci Sports. 2013 Feb;23(1):74–83. doi: 10.1111/j.1600-0838.2011.01351.x.
    1. Batterham AM, Hopkins WG. Making meaningful inferences about magnitudes. Int J Sport Physiol Perform. 2006 Mar;1(1):50–57. doi: 10.1123/ijspp.1.1.50.
    1. van Schaik P, Weston M. Magnitude-based inference and its application in user research. Int J Hum Comput Stud. 2016 Apr;88:38–50. doi: 10.1016/j.ijhcs.2016.01.002.
    1. Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009 Jan;41(1):3–13. doi: 10.1249/MSS.0b013e31818cb278.
    1. Hopkins WG. A spreadsheet to compare means of two groups. Sportscience. 2007;11:22–24.
    1. Lange B, Chang CY, Suma E, Newman B, Rizzo AS, Bolas M. Development and evaluation of low cost game-based balance rehabilitation tool using the Microsoft Kinect sensor. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:1831–4. doi: 10.1109/IEMBS.2011.6090521.
    1. Cheema BS, Davies TB, Stewart M, Papalia S, Atlantis E. The feasibility and effectiveness of high-intensity boxing training versus moderate-intensity brisk walking in adults with abdominal obesity: a pilot study. BMC Sports Sci Med Rehabil. 2015;7:3. doi: 10.1186/2052-1847-7-3.
    1. Lunt H, Draper N, Marshall HC, Logan FJ, Hamlin MJ, Shearman JP, Cotter JD, Kimber NE, Blackwell G, Frampton CM. High intensity interval training in a real world setting: a randomized controlled feasibility study in overweight inactive adults, measuring change in maximal oxygen uptake. PLoS One. 2014 Jan;9(1):e83256. doi: 10.1371/journal.pone.0083256.
    1. van Aggel-Leijssen DP, Saris WH, Hul GB, van Baak MA. Long-term effects of low-intensity exercise training on fat metabolism in weight-reduced obese men. Metabolism. 2002 Aug;51(8):1003–1010. doi: 10.1053/meta.2002.34028.
    1. Picorelli AM, Pereira LS, Pereira DS, Felício D, Sherrington C. Adherence to exercise programs for older people is influenced by program characteristics and personal factors: a systematic review. J Physiother. 2014 Sep;60(3):151–6. doi: 10.1016/j.jphys.2014.06.012.
    1. Heydari M, Freund J, Boutcher SH. The effect of high-intensity intermittent exercise on body composition of overweight young males. J Obes. 2012;2012:480467. doi: 10.1155/2012/480467. doi: 10.1155/2012/480467.
    1. Guy S, Ratzki-Leewing A, Gwadry-Sridhar F. Moving beyond the stigma: systematic review of video games and their potential to combat obesity. Int J Hypertens. 2011;2011:179124. doi: 10.4061/2011/179124. doi: 10.4061/2011/179124.
    1. Greiwe J, Kaminsky LA, Dwyer GB, Whaley MH. Reliability of VO2max estimates from the ACSM submaximal cycle ergometer test. Med Sci Sport Exerc. 1993;25(Supplement):S11. doi: 10.1249/00005768-199305001-00064.
    1. Madsen KA, Yen S, Wlasiuk L, Newman TB, Lustig R. Feasibility of a dance videogame to promote weight loss among overweight children and adolescents. Arch Pediatr Adolesc Med. 2007 Jan;161(1):105–7. doi: 10.1001/archpedi.161.1.105-c.
    1. Lister C, West JH, Cannon B, Sax T, Brodegard D. Just a fad? Gamification in health and fitness apps. JMIR Serious Games. 2014 Aug;2(2):e9. doi: 10.2196/games.3413.

Source: PubMed

3
订阅