The Effect of Variety on Physical Activity
1 other identifier
interventional
32
1 country
1
Brief Summary
Increasing physical activity continues to be a challenge among many individuals, particularly those who are overweight. Recent data from the National Health and Nutrition Examination Survey (NHANES) showed that individuals who reported engaging in a variety of activities were more likely to meet national physical activity recommendations compared to those who reported no variety. Incorporating a variety of activities into a physical activity program may be a way to increase physical increase physical activity levels. 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Sep 2011
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 1, 2011
CompletedFirst Submitted
Initial submission to the registry
September 25, 2011
CompletedFirst Posted
Study publicly available on registry
September 27, 2011
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 1, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
April 1, 2016
CompletedApril 5, 2018
April 1, 2018
4.6 years
September 25, 2011
April 3, 2018
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Energy expenditure in a laboratory session when active videogames are played
End of each session
Study Arms (2)
VAREITY
EXPERIMENTALNON-VARIETY
EXPERIMENTALInterventions
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
You may qualify if:
- Men and women, ages 18-25 years are eligible to participate. They will be recruited from flyers posted around campus and in local gyms, and must be willing to participate. They must have a body mass index (BMI) between 18.5 and 29.9 kg/m2.
You may not qualify if:
- Participants who have never played an active videogame or are unable to play an active videogame. If the participant dislikes (scoring \<50 on a 100 mm visual analogue scale \[VAS\]) playing the active videogames used in the investigation. Or if the participant engages in less than 150 minutes/week of moderate- to vigorous-intensity physical activity over the previous month.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Tennessee
Knoxville, Tennessee, 37996, United States
Related Publications (14)
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.
PMID: 18091006BACKGROUNDTudor-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.
PMID: 20682057BACKGROUNDPerri 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.
PMID: 9086691BACKGROUNDJakicic 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.
PMID: 10546695BACKGROUNDOtten 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.
PMID: 20008695BACKGROUNDJakicic 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.
PMID: 8963358BACKGROUNDHaskell 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.
PMID: 17762377BACKGROUNDSherwood 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.
PMID: 10940325BACKGROUNDFitzhugh 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.
PMID: 19842452BACKGROUNDPereira 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.
PMID: 9243481BACKGROUNDRaynor 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.
PMID: 12631501BACKGROUNDLevac 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.
PMID: 20724014BACKGROUNDMcAuley 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.
PMID: 2489825BACKGROUNDRaynor 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.
PMID: 27090231DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Hollie A Raynor, Ph. D
University of Tennessee
- PRINCIPAL INVESTIGATOR
Dale Bond, PhD
The Miriam Hospital
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- OTHER
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
September 25, 2011
First Posted
September 27, 2011
Study Start
September 1, 2011
Primary Completion
April 1, 2016
Study Completion
April 1, 2016
Last Updated
April 5, 2018
Record last verified: 2018-04