Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
32 participants
INTERVENTIONAL
2011-09-30
2016-04-30
Brief Summary
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One method to increase variety in physical activities is to use active videogames. Videogames that use motion sensors allow a gamer to physically perform a variety of activities. Thus, the purpose ot this laboratory-based investigation is to conduct a study to examine the effect of engaging in a greater variety of active videogames on energy expenditure in 30 non-obese, regularly active adults.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
CROSSOVER
OTHER
SINGLE
Study Groups
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VAREITY
Variety of Active Videogames
Thirty men and women, aged 18- to 35- years, recruited from the local area, with a normal body mass index (BMI) between 18.5 and 29.9 kg/m, will participate in two experimental sessions, VARIETY (playing the same active video game over 4 sessions) and NON-VARIETY (playing 4 different active video games over 4 sessions), with order of experimental sessions counterbalanced across participants.
NON-VARIETY
Variety of Active Videogames
Thirty men and women, aged 18- to 35- years, recruited from the local area, with a normal body mass index (BMI) between 18.5 and 29.9 kg/m, will participate in two experimental sessions, VARIETY (playing the same active video game over 4 sessions) and NON-VARIETY (playing 4 different active video games over 4 sessions), with order of experimental sessions counterbalanced across participants.
Interventions
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Variety of Active Videogames
Thirty men and women, aged 18- to 35- years, recruited from the local area, with a normal body mass index (BMI) between 18.5 and 29.9 kg/m, will participate in two experimental sessions, VARIETY (playing the same active video game over 4 sessions) and NON-VARIETY (playing 4 different active video games over 4 sessions), with order of experimental sessions counterbalanced across participants.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
35 Years
ALL
Yes
Sponsors
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The University of Tennessee, Knoxville
OTHER
Responsible Party
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Hollie Raynor
Professor
Principal Investigators
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Hollie A Raynor, Ph. D
Role: PRINCIPAL_INVESTIGATOR
University of Tennessee
Dale Bond, PhD
Role: PRINCIPAL_INVESTIGATOR
The Miriam Hospital
Locations
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University of Tennessee
Knoxville, Tennessee, United States
Countries
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References
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Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008 Jan;40(1):181-8. doi: 10.1249/mss.0b013e31815a51b3.
Tudor-Locke C, Brashear MM, Johnson WD, Katzmarzyk PT. Accelerometer profiles of physical activity and inactivity in normal weight, overweight, and obese U.S. men and women. Int J Behav Nutr Phys Act. 2010 Aug 3;7:60. doi: 10.1186/1479-5868-7-60.
Perri MG, Martin AD, Leermakers EA, Sears SF, Notelovitz M. Effects of group- versus home-based exercise in the treatment of obesity. J Consult Clin Psychol. 1997 Apr;65(2):278-85. doi: 10.1037//0022-006x.65.2.278.
Jakicic JM, Winters C, Lang W, Wing RR. Effects of intermittent exercise and use of home exercise equipment on adherence, weight loss, and fitness in overweight women: a randomized trial. JAMA. 1999 Oct 27;282(16):1554-60. doi: 10.1001/jama.282.16.1554.
Otten JJ, Jones KE, Littenberg B, Harvey-Berino J. Effects of television viewing reduction on energy intake and expenditure in overweight and obese adults: a randomized controlled trial. Arch Intern Med. 2009 Dec 14;169(22):2109-15. doi: 10.1001/archinternmed.2009.430.
Jakicic JM, Wing RR, Butler BA, Robertson RJ. Prescribing exercise in multiple short bouts versus one continuous bout: effects on adherence, cardiorespiratory fitness, and weight loss in overweight women. Int J Obes Relat Metab Disord. 1995 Dec;19(12):893-901.
Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, Franklin BA, Macera CA, Heath GW, Thompson PD, Bauman A. Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc. 2007 Aug;39(8):1423-34. doi: 10.1249/mss.0b013e3180616b27.
Sherwood NE, Jeffery RW. The behavioral determinants of exercise: implications for physical activity interventions. Annu Rev Nutr. 2000;20:21-44. doi: 10.1146/annurev.nutr.20.1.21.
Fitzhugh EC, Thompson DL. Leisure-time walking and compliance with ACSM/AHA aerobic-related physical activity recommendations: 1999-2004 NHANES. J Phys Act Health. 2009 Jul;6(4):393-402. doi: 10.1123/jpah.6.4.393.
Pereira MA, FitzerGerald SJ, Gregg EW, Joswiak ML, Ryan WJ, Suminski RR, Utter AC, Zmuda JM. A collection of Physical Activity Questionnaires for health-related research. Med Sci Sports Exerc. 1997 Jun;29(6 Suppl):S1-205. No abstract available.
Raynor HA, Epstein LH. The relative-reinforcing value of food under differing levels of food deprivation and restriction. Appetite. 2003 Feb;40(1):15-24. doi: 10.1016/s0195-6663(02)00161-7.
Levac D, Pierrynowski MR, Canestraro M, Gurr L, Leonard L, Neeley C. Exploring children's movement characteristics during virtual reality video game play. Hum Mov Sci. 2010 Dec;29(6):1023-38. doi: 10.1016/j.humov.2010.06.006. Epub 2010 Aug 17.
McAuley E, Duncan T, Tammen VV. Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: a confirmatory factor analysis. Res Q Exerc Sport. 1989 Mar;60(1):48-58. doi: 10.1080/02701367.1989.10607413.
Raynor HA, Cardoso C, Bond DS. Effect of exposure to greater active videogame variety on time spent in moderate- to vigorous-intensity physical activity. Physiol Behav. 2016 Jul 1;161:99-103. doi: 10.1016/j.physbeh.2016.04.016. Epub 2016 Apr 14.
Other Identifiers
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8630B
Identifier Type: -
Identifier Source: org_study_id
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