The Effect of Variety on Physical Activity
3 april 2018 bijgewerkt door: Hollie Raynor, The University of Tennessee, Knoxville
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.
Studie Overzicht
Toestand
Voltooid
Conditie
Interventie / Behandeling
Gedetailleerde beschrijving
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.
Studietype
Ingrijpend
Inschrijving (Werkelijk)
32
Fase
- Niet toepasbaar
Contacten en locaties
In dit gedeelte vindt u de contactgegevens van degenen die het onderzoek uitvoeren en informatie over waar dit onderzoek wordt uitgevoerd.
Studie Locaties
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Tennessee
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Knoxville, Tennessee, Verenigde Staten, 37996
- University of Tennessee
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Deelname Criteria
Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
18 jaar tot 35 jaar (Volwassen)
Accepteert gezonde vrijwilligers
Ja
Geslachten die in aanmerking komen voor studie
Allemaal
Beschrijving
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.
Studie plan
Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.
Hoe is de studie opgezet?
Ontwerpdetails
- Primair doel: Ander
- Toewijzing: Gerandomiseerd
- Interventioneel model: Crossover-opdracht
- Masker: Enkel
Wapens en interventies
Deelnemersgroep / Arm |
Interventie / Behandeling |
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Experimenteel: VAREITY
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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.
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Experimenteel: NON-VARIETY
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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.
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Wat meet het onderzoek?
Primaire uitkomstmaten
Uitkomstmaat |
Tijdsspanne |
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Energy expenditure in a laboratory session when active videogames are played
Tijdsspanne: End of each session
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End of each session
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Medewerkers en onderzoekers
Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.
Onderzoekers
- Hoofdonderzoeker: Hollie A Raynor, Ph. D, University of Tennessee
- Hoofdonderzoeker: Dale Bond, PhD, The Miriam Hospital
Publicaties en nuttige links
De persoon die verantwoordelijk is voor het invoeren van informatie over het onderzoek stelt deze publicaties vrijwillig ter beschikking. Dit kan gaan over alles wat met het onderzoek te maken heeft.
Algemene publicaties
- 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.
- 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.
- 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.
- 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.
- 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, 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.
- 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.
- 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, 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.
- 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.
- 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.
- 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.
Studie record data
Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.
Bestudeer belangrijke data
Studie start (Werkelijk)
1 september 2011
Primaire voltooiing (Werkelijk)
1 april 2016
Studie voltooiing (Werkelijk)
1 april 2016
Studieregistratiedata
Eerst ingediend
25 september 2011
Eerst ingediend dat voldeed aan de QC-criteria
26 september 2011
Eerst geplaatst (Schatting)
27 september 2011
Updates van studierecords
Laatste update geplaatst (Werkelijk)
5 april 2018
Laatste update ingediend die voldeed aan QC-criteria
3 april 2018
Laatst geverifieerd
1 april 2018
Meer informatie
Termen gerelateerd aan deze studie
Trefwoorden
Aanvullende relevante MeSH-voorwaarden
Andere studie-ID-nummers
- 8630B
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