The Effect of Variety on Physical Activity
3 april 2018 uppdaterad av: 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.
Studieöversikt
Status
Avslutad
Betingelser
Intervention / Behandling
Detaljerad beskrivning
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.
Studietyp
Interventionell
Inskrivning (Faktisk)
32
Fas
- Inte tillämpbar
Kontakter och platser
Det här avsnittet innehåller kontaktuppgifter för dem som genomför studien och information om var denna studie genomförs.
Studieorter
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Tennessee
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Knoxville, Tennessee, Förenta staterna, 37996
- University of Tennessee
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Deltagandekriterier
Forskare letar efter personer som passar en viss beskrivning, så kallade behörighetskriterier. Några exempel på dessa kriterier är en persons allmänna hälsotillstånd eller tidigare behandlingar.
Urvalskriterier
Åldrar som är berättigade till studier
18 år till 35 år (Vuxen)
Tar emot friska volontärer
Ja
Kön som är behöriga för studier
Allt
Beskrivning
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.
Studieplan
Det här avsnittet ger detaljer om studieplanen, inklusive hur studien är utformad och vad studien mäter.
Hur är studien utformad?
Designdetaljer
- Primärt syfte: Övrig
- Tilldelning: Randomiserad
- Interventionsmodell: Crossover tilldelning
- Maskning: Enda
Vapen och interventioner
Deltagargrupp / Arm |
Intervention / Behandling |
|---|---|
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Experimentell: VAREITY
|
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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Experimentell: NON-VARIETY
|
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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Vad mäter studien?
Primära resultatmått
Resultatmått |
Tidsram |
|---|---|
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Energy expenditure in a laboratory session when active videogames are played
Tidsram: End of each session
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End of each session
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Samarbetspartners och utredare
Det är här du hittar personer och organisationer som är involverade i denna studie.
Utredare
- Huvudutredare: Hollie A Raynor, Ph. D, University of Tennessee
- Huvudutredare: Dale Bond, PhD, The Miriam Hospital
Publikationer och användbara länkar
Den som ansvarar för att lägga in information om studien tillhandahåller frivilligt dessa publikationer. Dessa kan handla om allt som har med studien att göra.
Allmänna publikationer
- 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.
Studieavstämningsdatum
Dessa datum spårar framstegen för inlämningar av studieposter och sammanfattande resultat till ClinicalTrials.gov. Studieposter och rapporterade resultat granskas av National Library of Medicine (NLM) för att säkerställa att de uppfyller specifika kvalitetskontrollstandarder innan de publiceras på den offentliga webbplatsen.
Studera stora datum
Studiestart (Faktisk)
1 september 2011
Primärt slutförande (Faktisk)
1 april 2016
Avslutad studie (Faktisk)
1 april 2016
Studieregistreringsdatum
Först inskickad
25 september 2011
Först inskickad som uppfyllde QC-kriterierna
26 september 2011
Första postat (Uppskatta)
27 september 2011
Uppdateringar av studier
Senaste uppdatering publicerad (Faktisk)
5 april 2018
Senaste inskickade uppdateringen som uppfyllde QC-kriterierna
3 april 2018
Senast verifierad
1 april 2018
Mer information
Termer relaterade till denna studie
Nyckelord
Ytterligare relevanta MeSH-villkor
Andra studie-ID-nummer
- 8630B
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