The Effect of Variety on Physical Activity

Overweight Clinical Trial

Official title:

The Effect of Variety on Physical Activity

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT01441544
• Other study ID #: 8630B
• Status: Completed
• Phase: N/A
• First received: September 25, 2011
• Last updated: April 3, 2018
• Start date: September 2011
• Est. completion date: April 2016

Study information

• Verified date: April 2018
• Source: The University of Tennessee, Knoxville
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial 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.

Description:

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 and NON-VARIETY, with order of experimental sessions counterbalanced across participants. Participants will be assessed on liking of the active videogames, energy, tiredness, motivation, to succeed, interest in the games, and energy expenditure during the experimental sessions.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 32
• Est. completion date: April 2016
• Est. primary completion date: April 2016
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years to 35 Years

Eligibility

Inclusion Criteria:

• 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.

Exclusion Criteria:

• 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.

Related Conditions & MeSH terms

• Overweight

Intervention

Behavioral:
• 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.

Locations

Country	Name	City	State
United States	University of Tennessee	Knoxville	Tennessee

Sponsors (1)

Lead Sponsor	Collaborator
The University of Tennessee, Knoxville

Country where clinical trial is conducted

United States, 

References & Publications (13)

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

Sherwood NE, Jeffery RW. The behavioral determinants of exercise: implications for physical activity interventions. Annu Rev Nutr. 2000;20:21-44. Review. — View Citation

Troiano RP, Berrigan D, Dodd KW, Mâsse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008 Jan;40(1):181-8. — View Citation

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. — View Citation

* Note: There are 13 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Energy expenditure in a laboratory session when active videogames are played		End of each session