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Problem Video Gaming Among Children Enrolled in Tertiary Weight Management Programs
- Source :
- Cyberpsychology, Behavior, and Social Networking. 20:109-116
- Publication Year :
- 2017
- Publisher :
- Mary Ann Liebert Inc, 2017.
-
Abstract
- Prior studies show seven percent to nine percent of children demonstrate gaming behaviors that affect a child's ability to function (e.g., problem gaming), but none have examined the association between problem gaming and weight status. The objective of this study was to determine the prevalence of problem gaming among children enrolled in tertiary weight management programs. We administered a computer-based survey to a convenience sample of children aged 11-17 years enrolled in five geographically diverse pediatric weight management (PWM) programs in the COMPASS (Childhood Obesity Multi-Program Analysis and Study System) network. The survey included demographics, gaming characteristics, and a problem gaming assessment. The survey had 454 respondents representing a diverse cohort (53 percent females, 27 percent black, 24 percent Hispanic, 41 percent white) with mean age of 13.7 years. A total of 8.2 percent of respondents met criteria for problem gaming. Problem gamers were more likely to be white, male, play mature-rated games, and report daily play. Children in PWM programs reported problem gaming at the same rate as other pediatric populations. Screening for problem gaming provides an opportunity for pediatricians to address gaming behaviors that may affect the health of children with obesity who already are at risk for worsened health and quality of life.
- Subjects :
- Male
Video gaming
Adolescent
Social Psychology
Demographics
Convenience sample
computer.software_genre
Childhood obesity
03 medical and health sciences
0302 clinical medicine
030225 pediatrics
Weight management
medicine
Humans
Obesity
030212 general & internal medicine
Child
Weight status
Applied Psychology
Multimedia
business.industry
Communication
Body Weight
Mean age
Original Articles
General Medicine
medicine.disease
Computer Science Applications
Human-Computer Interaction
Cross-Sectional Studies
Video Games
Cohort
Female
business
human activities
computer
Demography
Subjects
Details
- ISSN :
- 21522723 and 21522715
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Cyberpsychology, Behavior, and Social Networking
- Accession number :
- edsair.doi.dedup.....5fc00d388f247433e973a30c01be5119