Expanded Game Squad for Neurodiverse Youth
NDGameSquad
Engaging Children With Mental Health and Developmental Disabilities and Their Parents to Adopt a Healthy Lifestyle: Piloting the Game Squad Home Exergaming & Virtual Health Coaching Intervention
1 other identifier
interventional
23
1 country
2
Brief Summary
The proposed study will pilot the use of an adapted Game Squad intervention aimed at improving physical activity and other important health behaviors (nutrition, sleep hygiene, screen time habits) for children and adolescents receiving special education supports for behavioral health challenges, or who are served by the Boston Medical Center Developmental and Behavioral Pediatrics (BMC-DBP) clinic.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Nov 2018
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 5, 2018
CompletedFirst Posted
Study publicly available on registry
September 11, 2018
CompletedStudy Start
First participant enrolled
November 6, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 15, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2019
CompletedFebruary 19, 2020
February 1, 2020
9 months
September 5, 2018
February 18, 2020
Conditions
Outcome Measures
Primary Outcomes (1)
Change from baseline 7-day Actigraph MVPA after 10 weeks of intervention
Change in moderate to vigorous physical activity measured via hip-worn Actigraph accelerometer
Collected within 14 days of intervention start (baseline) and end (follow-up after 10 week intervention)
Secondary Outcomes (6)
Change from baseline BMI after 10 weeks of intervention
Collected within 14 days of intervention start (baseline) and end (follow-up after 10 week intervention)
Change from baseline blood pressure after 10 weeks of intervention
Collected within 14 days of intervention start (baseline) and end (follow-up after 10 week intervention)
Change from baseline parent perceptions of child health habits after 10 weeks of intervention
Collected within 14 days of intervention start (baseline) and end (follow-up after 10 week intervention)
Change from baseline child anxiety symptoms after 10 weeks of intervention
Collected within 14 days of intervention start (baseline) and end (follow-up after 10 week intervention)
Change in child depression symptoms after 10 weeks of intervention
Collected within 14 days of intervention start (baseline) and end (follow-up after 10 week intervention)
- +1 more secondary outcomes
Study Arms (3)
Formative
OTHERThis stage represents an initial formative phase to implement the NDGame Squad intervention with small samples of youth in order to make any modifications necessary before embarking on the full pilot in both sites in the next phase. Three (n=3) participants from the school site only will participate in an initial 4-week Game Squad intervention in the first formative phase. Participant feedback including barriers to engagement and suggestions for improvements will be obtained via parent/caregiver and child interviews post-intervention.
Pilot Intervention
EXPERIMENTALParticipants in the pilot intervention arm will receive either 10 or 14 weeks of the NDGameSquad intervention. School site participants will receive 10 weeks during the school year, followed by another 4 weeks during summer vacation. Clinic site participants will receive 10 weeks only.
Pilot Waitlist Control
OTHERParticipants at both sites randomized to the waitlist control arm will be asked to maintain current physical activity levels during the first 10-week period. They will then be provided the intervention equipment and training. School site control arm participants will then participate in a 4-week, unsupported summer NDGame Squad intervention. Clinic site control arm participants will not be required to participate in the NDGameSquad intervention.
Interventions
The intervention will be delivered within participants' homes. Participants will be provided a gaming console and exergames. Participants will be encouraged to meet a goal of 60 minutes/day of MVPA for the duration of the intervention by playing the exergames at least three times per week and engaging in non-screen based physical activity on other days. Participants will receive a booklet that includes a curriculum for playing weekly challenges. Participants will wear a FitBit during their exergaming sessions. Participants and parents meet bi-weekly with a health coach via video-chat using the exergame console. Sessions will identify and encourage specific physical activity, healthy eating, and healthy sleep habits. At the school site, participants will receive additional check-ins, engagement support, and health curricula from classroom teachers during the first 10 weeks of the intervention.
Eligibility Criteria
You may qualify if:
- Receiving services either through the BMC-DBP or TIDES programs
- Wi-Fi and TV available in their home environment
You may not qualify if:
- Intellectual disability
- Chronic or physically disabling conditions for which strenuous physical activity is contra-indicated or not feasible
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Merrimack Collegelead
- University of Massachusetts, Worcestercollaborator
- Pennington Biomedical Research Centercollaborator
- Boston Medical Center Developmental and Behavioral Pediatrics Cliniccollaborator
- Marblehead Public Schoolscollaborator
Study Sites (2)
Boston Medical Center Developmental and Behavioral Pediatrics Clinic
Boston, Massachusetts, 02118, United States
Marblehead Public Schools
Marblehead, Massachusetts, 01945, United States
Related Publications (33)
Anderson SE, Must A, Curtin C, Bandini LG. Meals in Our Household: reliability and initial validation of a questionnaire to assess child mealtime behaviors and family mealtime environments. J Acad Nutr Diet. 2012 Feb;112(2):276-84. doi: 10.1016/j.jada.2011.08.035.
PMID: 22741169BACKGROUNDBaglioni C, Nanovska S, Regen W, Spiegelhalder K, Feige B, Nissen C, Reynolds CF, Riemann D. Sleep and mental disorders: A meta-analysis of polysomnographic research. Psychol Bull. 2016 Sep;142(9):969-990. doi: 10.1037/bul0000053. Epub 2016 Jul 14.
PMID: 27416139BACKGROUNDBarnett A, Cerin E, Baranowski T. Active video games for youth: a systematic review. J Phys Act Health. 2011 Jul;8(5):724-37. doi: 10.1123/jpah.8.5.724.
PMID: 21734319BACKGROUNDBiddiss 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.
PMID: 20603468BACKGROUNDBlaine B. Does depression cause obesity?: A meta-analysis of longitudinal studies of depression and weight control. J Health Psychol. 2008 Nov;13(8):1190-7. doi: 10.1177/1359105308095977.
PMID: 18987092BACKGROUNDBowling A, Slavet J, Miller DP, Haneuse S, Beardslee W, Davison K. Cybercycling Effects on Classroom Behavior in Children With Behavioral Health Disorders: An RCT. Pediatrics. 2017 Feb;139(2):e20161985. doi: 10.1542/peds.2016-1985. Epub 2017 Jan 9.
PMID: 28069663BACKGROUNDBroder-Fingert S, Brazauskas K, Lindgren K, Iannuzzi D, Van Cleave J. Prevalence of overweight and obesity in a large clinical sample of children with autism. Acad Pediatr. 2014 Jul-Aug;14(4):408-14. doi: 10.1016/j.acap.2014.04.004.
PMID: 24976353BACKGROUNDBrown SA. Measuring perceived benefits and perceived barriers for physical activity. Am J Health Behav. 2005 Mar-Apr;29(2):107-16. doi: 10.5993/ajhb.29.2.2.
PMID: 15698978BACKGROUNDCook BG, Li D, Heinrich KM. Obesity, Physical Activity, and Sedentary Behavior of Youth With Learning Disabilities and ADHD. J Learn Disabil. 2015 Nov-Dec;48(6):563-76. doi: 10.1177/0022219413518582. Epub 2014 Jan 21.
PMID: 24449262BACKGROUNDCortese S, Morcillo Penalver C. Comorbidity between ADHD and obesity: exploring shared mechanisms and clinical implications. Postgrad Med. 2010 Sep;122(5):88-96. doi: 10.3810/pgm.2010.09.2205.
PMID: 20861592BACKGROUNDTRUE Consortium. Recommended standards for assessing blood pressure in human research where blood pressure or hypertension is a major focus. J Hum Hypertens. 2017 Aug;31(8):487-490. doi: 10.1038/jhh.2017.10. Epub 2017 Apr 13. No abstract available.
PMID: 28406234BACKGROUNDDavis C, Levitan RD, Smith M, Tweed S, Curtis C. Associations among overeating, overweight, and attention deficit/hyperactivity disorder: a structural equation modelling approach. Eat Behav. 2006 Aug;7(3):266-74. doi: 10.1016/j.eatbeh.2005.09.006. Epub 2005 Oct 17.
PMID: 16843230BACKGROUNDDE Hert M, Correll CU, Bobes J, Cetkovich-Bakmas M, Cohen D, Asai I, Detraux J, Gautam S, Moller HJ, Ndetei DM, Newcomer JW, Uwakwe R, Leucht S. Physical illness in patients with severe mental disorders. I. Prevalence, impact of medications and disparities in health care. World Psychiatry. 2011 Feb;10(1):52-77. doi: 10.1002/j.2051-5545.2011.tb00014.x.
PMID: 21379357BACKGROUNDGao Z, Chen S, Pasco D, Pope Z. A meta-analysis of active video games on health outcomes among children and adolescents. Obes Rev. 2015 Sep;16(9):783-94. doi: 10.1111/obr.12287. Epub 2015 May 6.
PMID: 25943852BACKGROUNDGariepy G, Nitka D, Schmitz N. The association between obesity and anxiety disorders in the population: a systematic review and meta-analysis. Int J Obes (Lond). 2010 Mar;34(3):407-19. doi: 10.1038/ijo.2009.252. Epub 2009 Dec 8.
PMID: 19997072BACKGROUNDHoward AL, Robinson M, Smith GJ, Ambrosini GL, Piek JP, Oddy WH. ADHD is associated with a "Western" dietary pattern in adolescents. J Atten Disord. 2011 Jul;15(5):403-11. doi: 10.1177/1087054710365990. Epub 2010 Jul 14.
PMID: 20631199BACKGROUNDLee EC, Whitehead AL, Jacques RM, Julious SA. The statistical interpretation of pilot trials: should significance thresholds be reconsidered? BMC Med Res Methodol. 2014 Mar 20;14:41. doi: 10.1186/1471-2288-14-41.
PMID: 24650044BACKGROUNDLi SH, Jin XM, Shen XM, Wu SH, Jiang F, Yan CH, Yu XD, Qiu YL. [Development and psychometric properties of the Chinese version of Children's Sleep Habits Questionnaire]. Zhonghua Er Ke Za Zhi. 2007 Mar;45(3):176-80. Chinese.
PMID: 17504618BACKGROUNDManu P, Dima L, Shulman M, Vancampfort D, De Hert M, Correll CU. Weight gain and obesity in schizophrenia: epidemiology, pathobiology, and management. Acta Psychiatr Scand. 2015 Aug;132(2):97-108. doi: 10.1111/acps.12445. Epub 2015 May 27.
PMID: 26016380BACKGROUNDMazurek MO, Sohl K. Sleep and Behavioral Problems in Children with Autism Spectrum Disorder. J Autism Dev Disord. 2016 Jun;46(6):1906-1915. doi: 10.1007/s10803-016-2723-7.
PMID: 26823076BACKGROUNDMerikangas KR, He JP, Burstein M, Swanson SA, Avenevoli S, Cui L, Benjet C, Georgiades K, Swendsen J. Lifetime prevalence of mental disorders in U.S. adolescents: results from the National Comorbidity Survey Replication--Adolescent Supplement (NCS-A). J Am Acad Child Adolesc Psychiatry. 2010 Oct;49(10):980-9. doi: 10.1016/j.jaac.2010.05.017. Epub 2010 Jul 31.
PMID: 20855043BACKGROUNDNewcomer JW, Hennekens CH. Severe mental illness and risk of cardiovascular disease. JAMA. 2007 Oct 17;298(15):1794-6. doi: 10.1001/jama.298.15.1794. No abstract available.
PMID: 17940236BACKGROUNDO'Neil A, Quirk SE, Housden S, Brennan SL, Williams LJ, Pasco JA, Berk M, Jacka FN. Relationship between diet and mental health in children and adolescents: a systematic review. Am J Public Health. 2014 Oct;104(10):e31-42. doi: 10.2105/AJPH.2014.302110.
PMID: 25208008BACKGROUNDOwens JA, Spirito A, McGuinn M. The Children's Sleep Habits Questionnaire (CSHQ): psychometric properties of a survey instrument for school-aged children. Sleep. 2000 Dec 15;23(8):1043-51.
PMID: 11145319BACKGROUNDPeng W, Lin JH, Crouse J. Is playing exergames really exercising? A meta-analysis of energy expenditure in active video games. Cyberpsychol Behav Soc Netw. 2011 Nov;14(11):681-8. doi: 10.1089/cyber.2010.0578. Epub 2011 Jun 13.
PMID: 21668370BACKGROUNDPuyau MR, Adolph AL, Vohra FA, Zakeri I, Butte NF. Prediction of activity energy expenditure using accelerometers in children. Med Sci Sports Exerc. 2004 Sep;36(9):1625-31.
PMID: 15354047BACKGROUNDRimmer JH, Rowland JL, Yamaki K. Obesity and secondary conditions in adolescents with disabilities: addressing the needs of an underserved population. J Adolesc Health. 2007 Sep;41(3):224-9. doi: 10.1016/j.jadohealth.2007.05.005.
PMID: 17707291BACKGROUNDSechrist KR, Walker SN, Pender NJ. Development and psychometric evaluation of the exercise benefits/barriers scale. Res Nurs Health. 1987 Dec;10(6):357-65. doi: 10.1002/nur.4770100603.
PMID: 3423307BACKGROUNDSimonoff E, Pickles A, Charman T, Chandler S, Loucas T, Baird G. Psychiatric disorders in children with autism spectrum disorders: prevalence, comorbidity, and associated factors in a population-derived sample. J Am Acad Child Adolesc Psychiatry. 2008 Aug;47(8):921-9. doi: 10.1097/CHI.0b013e318179964f.
PMID: 18645422BACKGROUNDStaiano AE, Beyl RA, Guan W, Hendrick CA, Hsia DS, Newton RL Jr. Home-based exergaming among children with overweight and obesity: a randomized clinical trial. Pediatr Obes. 2018 Nov;13(11):724-733. doi: 10.1111/ijpo.12438. Epub 2018 Jul 20.
PMID: 30027607BACKGROUNDStrimas R, Davis C, Patte K, Curtis C, Reid C, McCool C. Symptoms of attention-deficit/hyperactivity disorder, overeating, and body mass index in men. Eat Behav. 2008 Dec;9(4):516-8. doi: 10.1016/j.eatbeh.2008.07.005. Epub 2008 Aug 8.
PMID: 18928919BACKGROUNDTrost SG, Pate RR, Freedson PS, Sallis JF, Taylor WC. Using objective physical activity measures with youth: how many days of monitoring are needed? Med Sci Sports Exerc. 2000 Feb;32(2):426-31. doi: 10.1097/00005768-200002000-00025.
PMID: 10694127BACKGROUNDBowling AB, Slavet J, Hendrick C, Beyl R, Nauta P, Augustyn M, Mbamalu M, Curtin C, Bandini L, Must A, Staiano AE. The Adaptive GameSquad Xbox-Based Physical Activity and Health Coaching Intervention for Youth With Neurodevelopmental and Psychiatric Diagnoses: Pilot Feasibility Study. JMIR Form Res. 2021 May 14;5(5):e24566. doi: 10.2196/24566.
PMID: 33988508DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- INVESTIGATOR, OUTCOMES ASSESSOR
- Masking Details
- Participants cannot be blinded to assignment. Objective outcomes (physical activity, height, weight, blood pressure) will be collected by masked assessors. The primary investigator and all data analysts will be blinded to participant assignment.
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
September 5, 2018
First Posted
September 11, 2018
Study Start
November 6, 2018
Primary Completion
August 15, 2019
Study Completion
December 31, 2019
Last Updated
February 19, 2020
Record last verified: 2020-02
Data Sharing
- IPD Sharing
- Will not share
IPD will not be shared.