학술논문

Screen media activity does not displace other recreational activities among 9–10 year-old youth: a cross-sectional ABCD study®
Document Type
article
Source
BMC Public Health. 20(1)
Subject
Public Health
Health Sciences
Pediatric
Basic Behavioral and Social Science
Mental Health
Behavioral and Social Science
Clinical Research
Quality Education
Child
Cross-Sectional Studies
Female
Hobbies
Humans
Male
Recreation
Screen Time
Socioeconomic Factors
Sports
Screen media
Social media
Sport
Physical activity
Recreational activities
Displacement hypothesis
Children
Public Health and Health Services
Epidemiology
Health services and systems
Public health
Language
Abstract
BackgroundScreen media is among the most common recreational activities engaged in by children. The displacement hypothesis predicts that increased time spent on screen media activity (SMA) may be at the expense of engagement with other recreational activities, such as sport, music, and art. This study examined associations between non-educational SMA and recreational activity endorsement in 9-10-year-olds, when accounting for other individual (i.e., cognition, psychopathology), interpersonal (i.e., social environment), and sociodemographic characteristics.MethodsParticipants were 9254 youth from the Adolescent Brain Cognitive Development Study®. Latent factors reflecting SMA, cognition, psychopathology, and social environment were entered as independent variables into logistic mixed models. Sociodemographic covariates included age, sex, race/ethnicity, education, marital status, and household income. Outcome variables included any recreational activity endorsement (of 19 assessed), and specific sport (swimming, soccer, baseball) and hobby (music, art) endorsements.ResultsIn unadjusted groupwise comparisons, youth who spent more time engaging with SMA were less likely to engage with other recreational activities (ps  .05). Some marginal effects were observed: for every one SD increase in time spent on games and movies over more social forms of media, youth were at lower odds of engaging in recreational activities (adjusted odds ratio = 0·83, 95% CI 0·76-0·89). Likewise, greater general SMA was associated with lower odds of endorsing group-based sports, including soccer (0·93, 0·88-0·98) and baseball (0·92, 0·86-0·98). Model fit comparisons indicated that sociodemographic characteristics, particularly socio-economic status, explained more variance in rates of recreational activity engagement than SMA and other latent factors. Notably, youth from higher socio-economic families were up to 5·63 (3·83-8·29) times more likely to engage in recreational activities than youth from lower socio-economic backgrounds.ConclusionsResults did not suggest that SMA largely displaces engagement in other recreational activities among 9-10-year-olds. Instead, socio-economic factors greatly contribute to rates of engagement. These findings are important considering recent shifts in time spent on SMA in childhood.