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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT02436330
Other study ID # 209418
Secondary ID
Status Completed
Phase N/A
First received April 20, 2015
Last updated November 5, 2015
Start date March 2011
Est. completion date September 2013

Study information

Verified date November 2015
Source University of Illinois at Chicago
Contact n/a
Is FDA regulated No
Health authority United States: Institutional Review Board
Study type Interventional

Clinical Trial Summary

Evaluation of the effectiveness of Exergaming for Health, a community-based multifaceted weight management program in a randomized controlled trial (RCT). Primary objective: to assess impact of the program on BMI z-scores. Secondary objectives: to measure impact on cardiovascular fitness, self-worth, sedentary screen time, and the influence of exergaming component on attendance and participation.


Description:

Eighty-four overweight pediatric subjects will be enrolled sequentially and randomized 2:1 in experimental and control groups for six months of weight management programming. The experimental group and their parents/guardians will participate in ten weekly 2-hour sessions, comprised of 1 hour of exergaming or exergaming combined with traditional exercise and 1 hour of didactic classes focusing on nutrition and psychosocial behaviors related to weight management. Following these 10 weeks, they will attend monthly 1-hour maintenance didactic classes. The control group and their parents/guardians will participate only in the didactic portion of the curricula for the same duration of time, 10 weeks, followed by monthly maintenance classes for the remainder of the 6 month period. The control group will then be offered participation in the Exergaming for Health program upon study completion.

Comparisons between the two groups will be obtained through changes in the measurements of weight, height, BMI z-scores, shuttle run times, and responses to questionnaires about screen time, self-perception, and nutrition. Measurements of both groups will be obtained at baseline and 6 months and another set of measurements will be obtained on the experimental group at 12 months.


Recruitment information / eligibility

Status Completed
Enrollment 84
Est. completion date September 2013
Est. primary completion date September 2013
Accepts healthy volunteers No
Gender Both
Age group 8 Years to 12 Years
Eligibility Inclusion Criteria:

- Child with BMI greater than or equal to 85th percentile.

- English speaking

- Approval by Primary Care Doctor

Exclusion Criteria:

- Participants with medical, developmental or psychiatric diagnoses which preclude participation in both the physical activity and classroom portions of the curriculum.

- Participants who are taking medications that positively or negatively affect weight.

Study Design

Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Parallel Assignment, Masking: Open Label, Primary Purpose: Prevention


Related Conditions & MeSH terms


Intervention

Behavioral:
Exergaming
6 months of weight management programming consisting of 10 weekly sessions:1 hour of session was spent "exergaming", which included active video game play and traditional group exercises. Some examples include: Dance, Dance, Revolution, Exerbike, Treadwall, Yoga, Spin class, etc.
Didactic health teaching
6 months of weight management programming consisting of 10 weekly 1-hour sessions of didactic classes teaching behavioral and dietary curricula. Followed by monthly 1 hour didactic health teaching sessions for the remainder of the 6 month period.

Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
University of Illinois at Chicago

References & Publications (50)

Baranowski T, Abdelsamad D, Baranowski J, O'Connor TM, Thompson D, Barnett A, Cerin E, Chen TA. Impact of an active video game on healthy children's physical activity. Pediatrics. 2012 Mar;129(3):e636-42. doi: 10.1542/peds.2011-2050. Epub 2012 Feb 27. — View Citation

Baranowski T, Baranowski J, Thompson D, Buday R, Jago R, Griffith MJ, Islam N, Nguyen N, Watson KB. Video game play, child diet, and physical activity behavior change a randomized clinical trial. Am J Prev Med. 2011 Jan;40(1):33-8. doi: 10.1016/j.amepre.2010.09.029. — View Citation

Barnett A, Cerin E, Baranowski T. Active video games for youth: a systematic review. J Phys Act Health. 2011 Jul;8(5):724-37. Review. — View Citation

Biddiss E, Irwin J. Active video games to promote physical activity in children and youth: a systematic review. Arch Pediatr Adolesc Med. 2010 Jul;164(7):664-72. doi: 10.1001/archpediatrics.2010.104. Review. — View Citation

Block G, Hartman AM, Naughton D. A reduced dietary questionnaire: development and validation. Epidemiology. 1990 Jan;1(1):58-64. — View Citation

Chaput JP, LeBlanc AG, Goldfield GS, Tremblay MS. Are active video games useful in increasing physical activity and addressing obesity in children? JAMA Pediatr. 2013 Jul;167(7):677-8. doi: 10.1001/jamapediatrics.2013.2424. — View Citation

Chin A Paw MJ, Jacobs WM, Vaessen EP, Titze S, van Mechelen W. The motivation of children to play an active video game. J Sci Med Sport. 2008 Apr;11(2):163-6. Epub 2007 Aug 13. — View Citation

Christison A, Khan HA. Exergaming for health: a community-based pediatric weight management program using active video gaming. Clin Pediatr (Phila). 2012 Apr;51(4):382-8. doi: 10.1177/0009922811429480. Epub 2011 Dec 8. — View Citation

Cohen RY, Felix MR, Brownell KD. The role of parents and older peers in school-based cardiovascular prevention programs: implications for program development. Health Educ Q. 1989 Summer;16(2):245-53. — View Citation

Daley AJ. Can exergaming contribute to improving physical activity levels and health outcomes in children? Pediatrics. 2009 Aug;124(2):763-71. doi: 10.1542/peds.2008-2357. Epub 2009 Jul 13. — View Citation

Davis MM, Gance-Cleveland B, Hassink S, Johnson R, Paradis G, Resnicow K. Recommendations for prevention of childhood obesity. Pediatrics. 2007 Dec;120 Suppl 4:S229-53. Review. — View Citation

DeMattia L, Lemont L, Meurer L. Do interventions to limit sedentary behaviours change behaviour and reduce childhood obesity? A critical review of the literature. Obes Rev. 2007 Jan;8(1):69-81. Review. — View Citation

Ebbeling CB, Feldman HA, Osganian SK, Chomitz VR, Ellenbogen SJ, Ludwig DS. Effects of decreasing sugar-sweetened beverage consumption on body weight in adolescents: a randomized, controlled pilot study. Pediatrics. 2006 Mar;117(3):673-80. — View Citation

Eklund RC, Whitehead JR, Welk GJ. Validity of the children and youth physical self-perception profile: a confirmatory factor analysis. Res Q Exerc Sport. 1997 Sep;68(3):249-56. — View Citation

Epstein LH, Robinson JL, Temple JL, Roemmich JN, Marusewski A, Nadbrzuch R. Sensitization and habituation of motivated behavior in overweight and non-overweight children. Learn Motiv. 2008 Aug;39(3):243-255. — View Citation

Epstein LH, Valoski A, Wing RR, McCurley J. Ten-year outcomes of behavioral family-based treatment for childhood obesity. Health Psychol. 1994 Sep;13(5):373-83. — View Citation

Franklin J, Denyer G, Steinbeck KS, Caterson ID, Hill AJ. Obesity and risk of low self-esteem: a statewide survey of Australian children. Pediatrics. 2006 Dec;118(6):2481-7. — View Citation

Gao Z, Hannan P, Xiang P, Stodden DF, Valdez VE. Video game-based exercise, Latino children's physical health, and academic achievement. Am J Prev Med. 2013 Mar;44(3 Suppl 3):S240-6. doi: 10.1016/j.amepre.2012.11.023. — View Citation

Gortmaker SL, Cheung LW, Peterson KE, Chomitz G, Cradle JH, Dart H, Fox MK, Bullock RB, Sobol AM, Colditz G, Field AE, Laird N. Impact of a school-based interdisciplinary intervention on diet and physical activity among urban primary school children: eat well and keep moving. Arch Pediatr Adolesc Med. 1999 Sep;153(9):975-83. — View Citation

Guy S, Ratzki-Leewing A, Gwadry-Sridhar F. Moving beyond the stigma: systematic review of video games and their potential to combat obesity. Int J Hypertens. 2011;2011:179124. doi: 10.4061/2011/179124. Epub 2011 Mar 31. — View Citation

Johnson G, Kent G, Leather J. Strengthening the parent-child relationship: a review of family interventions and their use in medical settings. Child Care Health Dev. 2005 Jan;31(1):25-32. Review. — View Citation

Kamath CC, Vickers KS, Ehrlich A, McGovern L, Johnson J, Singhal V, Paulo R, Hettinger A, Erwin PJ, Montori VM. Clinical review: behavioral interventions to prevent childhood obesity: a systematic review and metaanalyses of randomized trials. J Clin Endocrinol Metab. 2008 Dec;93(12):4606-15. doi: 10.1210/jc.2006-2411. Epub 2008 Sep 9. Review. — View Citation

Lanningham-Foster L, Jensen TB, Foster RC, Redmond AB, Walker BA, Heinz D, Levine JA. Energy expenditure of sedentary screen time compared with active screen time for children. Pediatrics. 2006 Dec;118(6):e1831-5. — View Citation

Lyons EJ, Tate DF, Ward DS, Wang X. Energy intake and expenditure during sedentary screen time and motion-controlled video gaming. Am J Clin Nutr. 2012 Aug;96(2):234-9. doi: 10.3945/ajcn.111.028423. Epub 2012 Jul 3. — View Citation

Maddison R, Foley L, Ni Mhurchu C, Jiang Y, Jull A, Prapavessis H, Hohepa M, Rodgers A. Effects of active video games on body composition: a randomized controlled trial. Am J Clin Nutr. 2011 Jul;94(1):156-63. doi: 10.3945/ajcn.110.009142. Epub 2011 May 11. — View Citation

Maddison R, Mhurchu CN, Jull A, Jiang Y, Prapavessis H, Rodgers A. Energy expended playing video console games: an opportunity to increase children's physical activity? Pediatr Exerc Sci. 2007 Aug;19(3):334-43. — View Citation

Mahar MT, Guerieri AM, Hanna MS, Kemble CD. Estimation of aerobic fitness from 20-m multistage shuttle run test performance. Am J Prev Med. 2011 Oct;41(4 Suppl 2):S117-23. doi: 10.1016/j.amepre.2011.07.008. — View Citation

McDougall J DM. <br />Children, video games and physical activity. an exploratory study. Int J on Disability and Human Development. 2008;7(1):89-94.

McNamara E, Hudson Z, Taylor SJ. Measuring activity levels of young people: the validity of pedometers. Br Med Bull. 2010;95:121-37. doi: 10.1093/bmb/ldq016. Epub 2010 Jun 18. Review. — View Citation

Mellecker RR, McManus AM. Energy expenditure and cardiovascular responses to seated and active gaming in children. Arch Pediatr Adolesc Med. 2008 Sep;162(9):886-91. doi: 10.1001/archpedi.162.9.886. — View Citation

Ni Mhurchu C, Maddison R, Jiang Y, Jull A, Prapavessis H, Rodgers A. Couch potatoes to jumping beans: a pilot study of the effect of active video games on physical activity in children. Int J Behav Nutr Phys Act. 2008 Feb 7;5:8. doi: 10.1186/1479-5868-5-8. — View Citation

Okely AD, Collins CE, Morgan PJ, Jones RA, Warren JM, Cliff DP, Burrows TL, Colyvas K, Steele JR, Baur LA. Multi-site randomized controlled trial of a child-centered physical activity program, a parent-centered dietary-modification program, or both in overweight children: the HIKCUPS study. J Pediatr. 2010 Sep;157(3):388-94, 394.e1. doi: 10.1016/j.jpeds.2010.03.028. Epub 2010 May 6. — View Citation

Peng W, Crouse J. Playing in parallel: the effects of multiplayer modes in active video game on motivation and physical exertion. Cyberpsychol Behav Soc Netw. 2013 Jun;16(6):423-7. doi: 10.1089/cyber.2012.0384. Epub 2013 Mar 19. — View Citation

Proctor MH, Moore LL, Gao D, Cupples LA, Bradlee ML, Hood MY, Ellison RC. Television viewing and change in body fat from preschool to early adolescence: The Framingham Children's Study. Int J Obes Relat Metab Disord. 2003 Jul;27(7):827-33. — View Citation

Quinn M. Introduction of active video gaming into the middle school curriculum as a school-based childhood obesity intervention. J Pediatr Health Care. 2013 Jan;27(1):3-12. doi: 10.1016/j.pedhc.2011.03.011. Epub 2011 May 14. — View Citation

Ridley K, Olds T. Video center games: Energy cost and children's behaviors. Pediatric Exercise Science. 2001;13:413-421.

Robertson W, Stewart-Brown S, Stallard N, Petrou S, Griffiths F, Thorogood M, Simkiss D, Lang R, Reddington K, Poole F, Rye G, Khan KA, Hamborg T, Kirby J. Evaluation of the effectiveness and cost-effectiveness of Families for Health V2 for the treatment of childhood obesity: study protocol for a randomized controlled trial. Trials. 2013 Mar 20;14:81. doi: 10.1186/1745-6215-14-81. — View Citation

Robinson TN. Reducing children's television viewing to prevent obesity: a randomized controlled trial. JAMA. 1999 Oct 27;282(16):1561-7. — View Citation

Sacher PM, Kolotourou M, Chadwick PM, Cole TJ, Lawson MS, Lucas A, Singhal A. Randomized controlled trial of the MEND program: a family-based community intervention for childhood obesity. Obesity (Silver Spring). 2010 Feb;18 Suppl 1:S62-8. doi: 10.1038/oby.2009.433. — View Citation

Saunders TJ, Tremblay MS, Mathieu MÈ, Henderson M, O'Loughlin J, Tremblay A, Chaput JP; QUALITY cohort research group. Associations of sedentary behavior, sedentary bouts and breaks in sedentary time with cardiometabolic risk in children with a family history of obesity. PLoS One. 2013 Nov 20;8(11):e79143. doi: 10.1371/journal.pone.0079143. eCollection 2013. — View Citation

Segal KR, Dietz WH. Physiologic responses to playing a video game. Am J Dis Child. 1991 Sep;145(9):1034-6. — View Citation

Simons M, Bernaards C, Slinger J. Active gaming in Dutch adolescents: a descriptive study. Int J Behav Nutr Phys Act. 2012 Oct 2;9:118. doi: 10.1186/1479-5868-9-118. — View Citation

Smallwood SR, Morris MM, Fallows SJ, Buckley JP. Are active video games useful in increasing physical activity and addressing obesity in children?--Reply. JAMA Pediatr. 2013 Jul;167(7):678. doi: 10.1001/jamapediatrics.2013.2421. — View Citation

Spear BA, Barlow SE, Ervin C, Ludwig DS, Saelens BE, Schetzina KE, Taveras EM. Recommendations for treatment of child and adolescent overweight and obesity. Pediatrics. 2007 Dec;120 Suppl 4:S254-88. Review. — View Citation

Trost SG, Sundal D, Foster GD, Lent MR, Vojta D. Effects of a pediatric weight management program with and without active video games a randomized trial. JAMA Pediatr. 2014 May;168(5):407-13. — View Citation

Unnithan VB, Houser W, Fernhall B. Evaluation of the energy cost of playing a dance simulation video game in overweight and non-overweight children and adolescents. Int J Sports Med. 2006 Oct;27(10):804-9. — View Citation

Vandewater EA, Shim MS, Caplovitz AG. Linking obesity and activity level with children's television and video game use. J Adolesc. 2004 Feb;27(1):71-85. — View Citation

Wang X, Perry AC. Metabolic and physiologic responses to video game play in 7- to 10-year-old boys. Arch Pediatr Adolesc Med. 2006 Apr;160(4):411-5. — View Citation

Whitehead JR. A study of children's physical self-perception using an adapted physical self-perception questionnaire. Pediatr Exercise Science. 1995(7):132-151.

Whitlock EP, O'Connor EA, Williams SB, Beil TL, Lutz KW. Effectiveness of weight management interventions in children: a targeted systematic review for the USPSTF. Pediatrics. 2010 Feb;125(2):e396-418. doi: 10.1542/peds.2009-1955. Epub 2010 Jan 18. Review. — View Citation

* Note: There are 50 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary BMI Z-score Change All subjects were asked to dress in light athletic clothing and have their weight and height measured at baseline (the first group session) and at 6 months. Research assistants were trained using guidelines from the National Health and Nutrition Examination Survey (NHANES) Anthropometry Procedures Manual and demonstrated accurate measures on 3 separate children. The Seca 217 portable stadiometer was used for all height measurements and the HealthOMeter 844 KL scale was used for all weight measurements. BMI z-scores were calculated using software available from the Children's Hospital of Philadelphia Research Institute (http://stokes.chop.edu/web/zcore). Change from baseline at 6 months No
Primary BMI Z-score Change Measure was only taken on the subjects who participated in the Intervention group (exergaming combined with didactic teaching). Change from baseline BMI z-score at 1 year No
Secondary Waist Circumference Change Change from baseline at 6 months No
Secondary Systolic Blood Pressure Change Change from baseline Systolic BP at 6 months No
Secondary Heart Rate Change From Baseline to 6 Months Change from baseline at 6 months No
Secondary Shuttle Run Change in Number of Shuttle Runs The shuttle run was completed by participants at baseline (session 1) and at 6 months. The shuttle run is a standardized field assessment that requires participants to run 20 meters within sequentially shortened time frames of recorded beeps. Change in number from baseline shuttle run at 6 months No
Secondary After School Screen Time as Reported on Questionnaire Change in after school screen time (reported out as fraction of 1 hour) will be measured by subject response on questionnaire taken at baseline and at 6 months for both groups. After school screen time was defined as the amount of time spent on any screen, on the average weekday afternoon/evening, including: watching television, computer use (laptop, desk top, tablet) or playing video games on the television or other hand held device. Change from baseline at 6 months No
Secondary Saturday Screen Time as Assessed by Questionnaire Change in Saturday screen time (reported out as fraction of an hour) will be measured by subject response on questionnaire taken at baseline and at 6 months for both groups. Saturday screen time was defined as the amount of time spent on any screen, on an average Saturday, including: watching television, computer use (laptop, desk top, tablet) or playing video games on the television or other hand held device. Change in hours from baseline at 6 months No
Secondary Activity Levels Measured by Pedometers (Weekly Steps) Activity will be measured by pedometers (number of steps) during week 1 and week 24 for both groups. Subjects used the Yamax 200 pedometer to count the steps they took over 1 weeks time. Change from week 1 to week 24 No
Secondary Self Perception as Assessed Using the Children and Youth Physical Self-Perception Profile (CY-PSPP): Physical Self-Worth Changes in Physical Self-worth CY-PSPP questionnaire was completed by participants in both groups at baseline and at 6 months. Change in the Physical Self-worth scores, which was 1 of 6 sub-domains, is analyzed. This sub-domain contains 6 questions with responses ranging from 1-4 for each question with 1 being the minimum and 4 being the maximum (best) score. The sub-domain score is then calculated as the mean of the 6 responses (minimum to maximum of 1 to 4).The change in score from baseline to 6 months was compared. Change from baseline at 6 months No
Secondary Self Perception as Assessed Using the Children and Youth Physical Self-Perception Profile (CY-PSPP): Global Self-Worth Score CY-PSPP questionnaire was completed by participants in both groups at baseline and at 6 months. Change in the Global Self-worth scores, which was 1 of 6 sub-domains, is analyzed. This sub-domain contains 6 questions with responses ranging from 1-4 for each question with 1 being the minimum and 4 being the maximum (best) score. The sub-domain score is then calculated as the mean of the 6 responses (minimum to maximum of 1 to 4).The change in score from baseline to 6 months was compared. Change from baseline to 6 months No
Secondary Dietary Change:Total Calorie Intake (kcal/Day) (Block Alive FFQ) The Block Alive FFQ: administered at the start and at 6 months to all participants in both groups. FFQ inquires about typical dietary patterns over the previous six months. Total kcal/kg/day is then estimated based upon participant responses. Change from baseline at 6 months No
Secondary Change in Dietary Intake: % Fat (Block Alive FFQ) The Block Alive FFQ: administered at the start and at 6 months to all participants in both groups. FFQ inquires about typical dietary patterns over the previous six months. Total %dietary fat intake per day is then estimated based upon participant responses. Change from baseline at 6 months No
Secondary Change in Dietary Intake: % Carbohydrates (Block Alive FFQ) The Block Alive FFQ: administered at the start and at 6 months to all participants in both groups. FFQ inquires about typical dietary patterns over the previous six months. Total % dietary carbohydrates is then estimated based upon participant responses. Change from baseline at 6 months No
Secondary Change in Dietary Intake: Number of Vegetable Servings (Block Alive FFQ) The Block Alive FFQ: administered at the start and at 6 months to all participants in both groups. FFQ inquires about typical dietary patterns over the previous six months. Total number of vegetable servings per day is then estimated based upon participant responses. Change from baseline at 6 months No
Secondary Change in Dietary Intake: Number of Fruit Servings (Block Alive FFQ) The Block Alive FFQ: administered at the start and at 6 months to all participants in both groups. FFQ inquires about typical dietary patterns over the previous six months. Total number of fruit servings per day is then estimated based upon participant responses. Change from baseline at 6 months No
Secondary Change in Dietary Intake: Number of Sugar Sweetened Beverages (Block Alive FFQ) The Block Alive FFQ: administered at the start and at 6 months to all participants in both groups. FFQ inquires about typical dietary patterns over the previous six months. Total number of sugar sweetened beverages per day is then estimated based upon participant responses. Change from baseline at 6 months No
Secondary Exergaming Program Component Influence on Attendance The experimental group will answer a questionnaire at the end of the 6 month study period, measuring the importance of specific components of the curriculum and motivators which influenced enrollment and compliance with participation. Of interest is measuring the influence of the exergaming curriculum as compared to these other factors. This is a 16-item, 3-point Likert-scale (1 = least important and 3 = most important) questionnaire created specifically for this study. Results were reported based on % of participants rating "3" ,most important, for each curriculum component. 6 months No
Secondary Waist Circumference Change Change from 6 month waist circumference at 1 year No
Secondary Systolic Blood Pressure Change Change from 6 month Systolic BP at 1 year No
Secondary Heart Rate Change Change from 6 month Heart rate at 1 year No
Secondary Shuttle Run Change in Number of Shuttle Runs The shuttle run was completed again by participants in the Experimental group at 1 year. The shuttle run is a standardized field assessment that requires participants to run 20 meters within sequentially shortened time frames of recorded beeps. Change in number from 6 month shuttle run at 1 year No
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