Literature DB >> 22760571

Energy intake and expenditure during sedentary screen time and motion-controlled video gaming.

Elizabeth J Lyons1, Deborah F Tate, Dianne S Ward, Xiaoshan Wang.   

Abstract

BACKGROUND: Television watching and playing of video games (VGs) are associated with higher energy intakes. Motion-controlled video games (MC) may be a healthier alternative to sedentary screen-based activities because of higher energy expenditures, but little is known about the effects of these games on energy intakes.
OBJECTIVE: Energy intake, expenditure, and surplus (intake - expenditure) were compared during sedentary (television and VG) and active (MC) screen-time use.
DESIGN: Young adults (n = 120; 60 women) were randomly assigned to the following 3 groups: television watching, playing traditional VGs, or playing MCs for 1 h while snacks and beverages were provided. Energy intakes, energy expenditures, and appetites were measured.
RESULTS: Intakes across these 3 groups showed a trend toward a significant difference (P = 0.065). The energy expenditure (P < 0.001) was higher, and the energy surplus (P = 0.038) was lower, in MC than in television or VG groups. All conditions produced a mean (±SD) energy surplus as follows: 638 ± 408 kcal in television, 655 ± 533 kcal in VG, and 376 ± 487 kcal in MC groups. The OR for consuming ≥500 kcal in the television compared with the MC group was 3.2 (95% CI: 1.2, 8.4). Secondary analyses, in which the 2 sedentary conditions were collapsed, showed an intake that was 178 kcal (95% CI: 8, 349 kcal) lower in the MC condition than in the sedentary groups (television and VG).
CONCLUSION: MCs may be a healthier alternative to sedentary screen time because of a lower energy surplus, but the playing of these games still resulted in a positive energy balance. This trial was registered at clinicaltrials.gov as NCT01523795.

Entities:  

Mesh:

Year:  2012        PMID: 22760571      PMCID: PMC3396440          DOI: 10.3945/ajcn.111.028423

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  28 in total

1.  The role of transportation in the persuasiveness of public narratives.

Authors:  M C Green; T C Brock
Journal:  J Pers Soc Psychol       Date:  2000-11

Review 2.  Issues for covariance analysis of dichotomous and ordered categorical data from randomized clinical trials and non-parametric strategies for addressing them.

Authors:  G G Koch; C M Tangen; J W Jung; I A Amara
Journal:  Stat Med       Date:  1998 Aug 15-30       Impact factor: 2.373

3.  On the road to obesity: Television viewing increases intake of high-density foods.

Authors:  Elliott M Blass; Daniel R Anderson; Heather L Kirkorian; Tiffany A Pempek; Iris Price; Melanie F Koleini
Journal:  Physiol Behav       Date:  2006-07-05

4.  Situational characteristics of young adults' eating occasions: a real-time data collection using Personal Digital Assistants.

Authors:  Melissa Nelson Laska; Dan Graham; Stacey G Moe; Leslie Lytle; Jayne Fulkerson
Journal:  Public Health Nutr       Date:  2010-12-08       Impact factor: 4.022

5.  Effects of allocation of attention on habituation to olfactory and visual food stimuli in children.

Authors:  Leonard H Epstein; Frances G Saad; April M Giacomelli; James N Roemmich
Journal:  Physiol Behav       Date:  2005-01-16

6.  Metabolic and physiologic responses to video game play in 7- to 10-year-old boys.

Authors:  Xuewen Wang; Arlette C Perry
Journal:  Arch Pediatr Adolesc Med       Date:  2006-04

7.  Energy intake associated with television viewing in adolescents, a cross sectional study.

Authors:  Jan Van den Bulck; Jan Van Mierlo
Journal:  Appetite       Date:  2004-10       Impact factor: 3.868

8.  Non food-related environmental stimuli induce increased meal intake in healthy women: comparison of television viewing versus listening to a recorded story in laboratory settings.

Authors:  F Bellisle; A M Dalix; G Slama
Journal:  Appetite       Date:  2004-10       Impact factor: 3.868

9.  Comparison of activity monitors to estimate energy cost of treadmill exercise.

Authors:  George A King; Nancy Torres; Charlie Potter; Toby J Brooks; Karen J Coleman
Journal:  Med Sci Sports Exerc       Date:  2004-07       Impact factor: 5.411

10.  Television-viewing characteristics of adults: correlations to eating practices and overweight and health status.

Authors:  Shanthy A Bowman
Journal:  Prev Chronic Dis       Date:  2006-03-15       Impact factor: 2.830

View more
  15 in total

1.  Energy intake adaptations to acute isoenergetic active video games and exercise are similar in obese adolescents.

Authors:  J P Chaput; C Schwartz; Y Boirie; M Duclos; A Tremblay; D Thivel
Journal:  Eur J Clin Nutr       Date:  2015-03-25       Impact factor: 4.016

2.  Are active video games useful to combat obesity?

Authors:  Tom Baranowski
Journal:  Am J Clin Nutr       Date:  2015-03-25       Impact factor: 7.045

3.  Active video games and energy balance in male adolescents: a randomized crossover trial.

Authors:  Aidan Gribbon; Jessica McNeil; Ollie Jay; Mark S Tremblay; Jean-Philippe Chaput
Journal:  Am J Clin Nutr       Date:  2015-03-11       Impact factor: 7.045

4.  How is television time linked to cardiometabolic health in adults? A critical systematic review of the evidence for an effect of watching television on eating, movement, affect and sleep.

Authors:  Janelle M Wagnild; Tessa M Pollard
Journal:  BMJ Open       Date:  2021-05-05       Impact factor: 2.692

5.  The energy expenditure of sedentary behavior: a whole room calorimeter study.

Authors:  Robert L Newton; Hongmei Han; Theodore Zderic; Mark T Hamilton; Marc Hamilton
Journal:  PLoS One       Date:  2013-05-03       Impact factor: 3.240

6.  Replacing Non-Active Video Gaming by Active Video Gaming to Prevent Excessive Weight Gain in Adolescents.

Authors:  Monique Simons; Johannes Brug; Mai J M Chinapaw; Michiel de Boer; Jaap Seidell; Emely de Vet
Journal:  PLoS One       Date:  2015-07-08       Impact factor: 3.240

7.  Associations between active video gaming and other energy-balance related behaviours in adolescents: a 24-hour recall diary study.

Authors:  Monique Simons; Mai J M Chinapaw; Johannes Brug; Jaap Seidell; Emely de Vet
Journal:  Int J Behav Nutr Phys Act       Date:  2015-03-05       Impact factor: 6.457

8.  The better the story, the bigger the serving: narrative transportation increases snacking during screen time in a randomized trial.

Authors:  Elizabeth J Lyons; Deborah F Tate; Dianne S Ward
Journal:  Int J Behav Nutr Phys Act       Date:  2013-05-16       Impact factor: 6.457

9.  Active video games as a tool to prevent excessive weight gain in adolescents: rationale, design and methods of a randomized controlled trial.

Authors:  Monique Simons; Mai J M Chinapaw; Maaike van de Bovenkamp; Michiel R de Boer; Jacob C Seidell; Johannes Brug; Emely de Vet
Journal:  BMC Public Health       Date:  2014-03-24       Impact factor: 3.295

10.  Health Outcomes of Information System Use Lifestyles among Adolescents: Videogame Addiction, Sleep Curtailment and Cardio-Metabolic Deficiencies.

Authors:  Ofir Turel; Anna Romashkin; Katherine M Morrison
Journal:  PLoS One       Date:  2016-05-05       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.