Effects of Active Video Games in Physically Inactive Children

NCT03720938 | Completed Results

• 1 other identifier: 2012.16.02.545
• Study Type: interventional
• Target: 106
• Locations: 0 countries
• Sites: N/A

Brief Summary

Inactivity was reported to be high in children and considered to be the fourth common cause of death in all ages. The reason for children is usually the increasing indoor use of sedentary screen time. Active Video Games (AVG) have recently been introduced for decreasing the sedentary time for children and directing them to physical activity (PA) at home.The aim of this study is to show the quantitative effect of games on physical fitness parameters like weight, body mass index (BMI) and fat ratio (FR). The study also aims at the factors for motivation or continuance of the games as self-perception and enjoyment levels together with qualitative effects of games on satisfaction and attitude changes in inactive children.

Conditions

Self-Perception; Body Weight

Keywords

inactive children; active video games; physical fitness; self-perception; enjoyment; obesity

Outcome Measures

Primary Outcomes (5)

• Weight in Kilograms

  Weight measured to the nearest 0.01 kg by Seca 767 scale. The first before the games, the second after the games.

  Baseline, 12 weeks

• Weight z Score

  Weight measured to the nearest 0.01 kg by Seca 767 scale. Z scores were calculated using national data for Turkish children. The first before the games, the second after the games. Positive z-scores indicates the number of standard deviations of the child above the mean of the population of the same age, whereas negative z-scores indicates the number of standard deviations of the child below the mean of the population of the same age.

  Baseline, 12 weeks

• BMI Calculated as "Weight (kg) / Height (m^2)"

  Body Mass Index calculation of both groups before the games and after the games.

  Baseline, 12 weeks

• BMI z Score

  Weight and height were measured to the nearest 0.01 kg (Seca 767) and 0.1 cm (Seca 220). BMI Z-scores were calculated using national data for Turkish children derived from values obtained from calculations with Quetelet index. The first before the games, the second after the games. Positive BMI z-scores indicates the number of standard deviations of the child above the mean of the population of the same age, whereas negative z-scores indicates the number of standard deviations of the child below the mean of the population of the same age.

  Baseline, 12 weeks

• Body Fat Percentage as Determined by Siri Formula From Skinfold Thicknesses

  The biceps, triceps, suprailiac and subscapular regions skinfold thicknesses were measured by Holtain caliper at the beginning of and after the games. Durnin-Womersley formula was used to calculate body densities. Then fat ratio of whole body was derived from the Siri equation by integrating body densities obtained by Durnin-Womersley formula.

  Baseline, 12 weeks

Secondary Outcomes (15)

• Visual Reaction Times of Dominant Hand by Newtest 1000 Timer

  Baseline, 12 weeks

• Visual Reaction Times of Non-dominant Hand by Newtest 1000 Timer

  Baseline, 12 weeks

• Auditory Reaction Time of Dominant Hand by Newtest 1000 Timer

  Baseline, 12 weeks

• Auditory Reaction Time of Non-dominant Hand by Newtest 1000 Timer

  Baseline, 12 weeks

• Self-Perception of Sports Competence Assessed by Children and Youth Physical Self-perception Profile (CY-PSPP)

  Baseline, 12 weeks

Study Arms (2)

Control Group

NO INTERVENTION

Physically inactive children who did not play AVGs.

Intervention Group

EXPERIMENTAL

Physically inactive children who played alternately Nintendo Wii® active video games for 50-60 min, 3 days a week, 12 weeks, in laboratory environment.

Other: Active Video Games

Interventions

Active Video Games OTHER

Nintendo Wii® AVGs from sports, balance, aerobics, resort and training categories.

Intervention Group

Eligibility Criteria

• Age: 8 Years - 13 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17)

You may qualify if:

• Being 8-13 years old
• Being preoccupied with technology
• Being physically inactive

You may not qualify if:

• Having circulatory, respiratory and musculoskeletal disease
• Having neuropsychiatric diseases
• History of syncope or seizures
• History of exercise induced anaphylaxis
• Morbid obesity
• Short stature

Sponsors & Collaborators

• Abant Izzet Baysal University: lead

Related Publications (5)

• Kohl HW 3rd, Craig CL, Lambert EV, Inoue S, Alkandari JR, Leetongin G, Kahlmeier S; Lancet Physical Activity Series Working Group. The pandemic of physical inactivity: global action for public health. Lancet. 2012 Jul 21;380(9838):294-305. doi: 10.1016/S0140-6736(12)60898-8.

  PMID: 22818941 BACKGROUND

• Booth FW, Roberts CK, Laye MJ. Lack of exercise is a major cause of chronic diseases. Compr Physiol. 2012 Apr;2(2):1143-211. doi: 10.1002/cphy.c110025.

  PMID: 23798298 BACKGROUND

• Maddison R, Foley L, Mhurchu CN, Jull A, Jiang Y, Prapavessis H, Rodgers A, Vander Hoorn S, Hohepa M, Schaaf D. Feasibility, design and conduct of a pragmatic randomized controlled trial to reduce overweight and obesity in children: The electronic games to aid motivation to exercise (eGAME) study. BMC Public Health. 2009 May 19;9:146. doi: 10.1186/1471-2458-9-146.

  PMID: 19450288 BACKGROUND

• Martins C, Morgan L, Truby H. A review of the effects of exercise on appetite regulation: an obesity perspective. Int J Obes (Lond). 2008 Sep;32(9):1337-47. doi: 10.1038/ijo.2008.98. Epub 2008 Jul 8.

  PMID: 18607378 BACKGROUND

• Coknaz D, Mirzeoglu AD, Atasoy HI, Alkoy S, Coknaz H, Goral K. A digital movement in the world of inactive children: favourable outcomes of playing active video games in a pilot randomized trial. Eur J Pediatr. 2019 Oct;178(10):1567-1576. doi: 10.1007/s00431-019-03457-x. Epub 2019 Aug 30.

  PMID: 31471690 DERIVED

Related Links

• Global Strategy on Diet, Physical Activity and Health

MeSH Terms

Conditions

Body Weight; Obesity

Condition Hierarchy (Ancestors)

Signs and Symptoms; Pathological Conditions, Signs and Symptoms; Overweight; Overnutrition; Nutrition Disorders; Nutritional and Metabolic Diseases

Limitations and Caveats

Conforming strictly to the rules of CONSORT extension for such "well controlled" studies when clustering with huge numbers of clusters without the risk of contamination might be impossible and unnecessary in small research areas like the city, Bolu.

Results Point of Contact

• Title: Dr. Halil Ibrahim Atasoy
• Organization: Abant Izzet Baysal University

halilibrahimatasoy@gmail.com

90 532 599 89 53

Study Officials

• Dilsad Coknaz

  Abant Izzet Baysal University

  PRINCIPAL INVESTIGATOR

Publication Agreements

• PI is Sponsor Employee: Yes

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: PREVENTION
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate Professor

Study Record Dates

• First Submitted: October 22, 2018
• First Posted: October 26, 2018
• Study Start: February 1, 2013
• Primary Completion: May 1, 2013
• Study Completion: January 1, 2020
• Last Updated: April 29, 2020
• Results First Posted: April 29, 2020

Record last verified: 2020-04

Data Sharing

• IPD Sharing: Will not share