ArticlePreventive medicine2021
Disentangling individual, school, and neighborhood effects on screen time among adolescents and young adults in the United States.
Article in Preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
16 citing papers in PubMed.
- Sleep Duration and Sun Exposure in Portuguese Children: Associations With Obesity Indicators.American journal of human biology : the official journal of the Human Biology Council · 2026Article
- Individual, school, and neighborhood influences on disordered eating behaviors in adolescence and eating disorders in young adulthood.Health & place · 2026Article
- Neighborhood Quality and Screen Use: Findings From the Adolescent Brain Cognitive Development Study.Academic pediatrics · 2026Article
- Longitudinal Associations Between Adolescents' Smartphone Distraction Management During Family Time and Their Relationships with Parents.Educational psychology · 2026Article
- The daily phone diary in adolescents and young adults with spina bifida: utility and psychometric evidence.Journal of pediatric psychology · 2025Article
- Pre-sleep screen time and screen time addiction as shared determinants of poor sleep and obesity in adolescents aged 11-14 years in Scotland.BMC global and public health · 2025Article
- Screen use in children - two sides of the coin: a critical narrative review.Dementia & neuropsychologia · 2025Review
- Associations Between Perceived Parental and Michigan Middle-School Students' Lifestyle Characteristics.American journal of lifestyle medicine · 2024Article
- Racial/ethnic disparities in exposure to e-cigarette advertising among U.S. youth.Public health · 2024Article
- Disaggregating level-specific effects in cross-classified multilevel models.Behavior research methods · 2024Article
- Association between excessive screen time and school-level proportion of no family rules among elementary school children in Japan: a multilevel analysis.Environmental health and preventive medicine · 2024Article
- Family resilience and neighborhood factors affect the association between digital media use and mental health among children: does sleep mediate the association?European journal of pediatrics · 2023Article
- Social epidemiology of early adolescent problematic screen use in the United States.Pediatric research · 2022Article
- Sociodemographic Correlates of Contemporary Screen Time Use among 9- and 10-Year-Old Children.The Journal of pediatrics · 2022Article
- Distinguishing the Associations Between Evening Screen Time and Sleep Quality Among Different Age Groups: A Population-Based Cross-Sectional Study.Frontiers in psychiatry · 2022Article
- Screen Time and Parents' Education Level Are Associated with Poor Adherence to the Mediterranean Diet in Spanish Children and Adolescents: The PASOS Study.Journal of clinical medicine · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectivesTo examine the association between individual, neighborhood, and school-level influences on individual screen time among adolescents and young adults (AYAs) in the National Longitudinal Study of Adolescent to Adult Health.
methodsWe classified screen time continuously as self-reported total hours per week of television, videos, and video/computer games at baseline and categorical as extended screen time (≥14 h per week). We fit cross-classified multilevel models (CCMM) to examine to examine the individual-, school- and neighborhood-level demographic and socioeconomic factors associated with screen time. Models were fit using MLwiN with Bayesian estimation procedures.
resultsAYAs reported an average of 22.8 (SD = 19.4) and 21.9 (SD = 20.3) hours of screen time, respectively. At the individual level, younger age, male sex, Black/multiracial race, receipt of public assistance, and lower parental education were associated with higher screen time. At the school level, being out of session (i.e., school and national holidays including summer), having a higher proportion of non-White students, and having a lower proportion of parents with a college education were associated with higher individual screen time.
conclusionsWe found that individual-level factors most influence youth screen time, with smaller contributions from school factors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.