Literature DB >> 20123258

Effect of visual media use on school performance: a prospective study.

Iman Sharif1, Thomas A Wills, James D Sargent.   

Abstract

PURPOSE: To identify mechanisms for the impact of visual media use on adolescents' school performance.
METHODS: We conducted a 24-month, four-wave longitudinal telephone study of a national sample of 6,486 youth aged 10 to 14 years. Exposure measures: latent construct for screen exposure time (weekday time spent viewing television/playing videogames, presence of television in bedroom) and variables for movie content (proportion of PG-13 and R movies viewed). OUTCOME MEASURE: self- and parent reports of grades in school. Effects of media exposures on change in school performance between baseline and 24 months were assessed using structural equation modeling. Information about hypothesized mediators (substance use, sensation seeking, and school problem behavior) was obtained at baseline and at the 16-month follow-up.
RESULTS: Adjusted for baseline school performance, baseline levels of mediators, and a range of covariates, both screen exposure time and media content had adverse effects on change in school performance. Screen exposure had an indirect effect on poor school performance through increased sensation seeking. Viewing more PG-13 and R-rated movies had indirect effects on poor school performance mediated through increases in substance use and sensation seeking. R-rated viewing also had an indirect effect on poor school performance through increased school behavior problems. The effect sizes of exposure time and content on the intermediate variables and ultimately on school performance were similar to those for previously recognized determinants of these mediators, including household income, parenting style, and adolescents' self-control.
CONCLUSIONS: These aspects of visual media use adversely affect school performance by increasing sensation seeking, substance use, and school problem behavior. Copyright 2010 Society for Adolescent Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2009        PMID: 20123258      PMCID: PMC2818002          DOI: 10.1016/j.jadohealth.2009.05.012

Source DB:  PubMed          Journal:  J Adolesc Health        ISSN: 1054-139X            Impact factor:   5.012


  35 in total

1.  Music videos, pro wrestling, and acceptance of date rape among middle school males and females: an exploratory analysis.

Authors:  Christine Elizabeth Kaestle; Carolyn Tucker Halpern; Jane D Brown
Journal:  J Adolesc Health       Date:  2006-10-27       Impact factor: 5.012

2.  Exposure to smoking in popular contemporary movies and youth smoking in Germany.

Authors:  Reiner Hanewinkel; James D Sargent
Journal:  Am J Prev Med       Date:  2007-06       Impact factor: 5.043

Review 3.  Effectiveness of health-promoting media literacy education: a systematic review.

Authors:  Lynda J Bergsma; Mary E Carney
Journal:  Health Educ Res       Date:  2008-01-17

4.  Rethinking the associations between television viewing and adolescent sexuality development: bringing gender into focus.

Authors:  Deborah L Tolman; Janna L Kim; Deborah Schooler; C Lynn Sorsoli
Journal:  J Adolesc Health       Date:  2006-10-05       Impact factor: 5.012

5.  Exposure to smoking depictions in movies: its association with established adolescent smoking.

Authors:  James D Sargent; Mike Stoolmiller; Keilah A Worth; Sonya Dal Cin; Thomas A Wills; Frederick X Gibbons; Meg Gerrard; Susanne Tanski
Journal:  Arch Pediatr Adolesc Med       Date:  2007-09

6.  Extensive television viewing and the development of attention and learning difficulties during adolescence.

Authors:  Jeffrey G Johnson; Patricia Cohen; Stephanie Kasen; Judith S Brook
Journal:  Arch Pediatr Adolesc Med       Date:  2007-05

7.  Impact of singular excessive computer game and television exposure on sleep patterns and memory performance of school-aged children.

Authors:  Markus Dworak; Thomas Schierl; Thomas Bruns; Heiko Klaus Strüder
Journal:  Pediatrics       Date:  2007-11       Impact factor: 7.124

8.  Movie exposure to smoking cues and adolescent smoking onset: a test for mediation through peer affiliations.

Authors:  Thomas A Wills; James D Sargent; Mike Stoolmiller; Frederick X Gibbons; Keilah A Worth; Sonya Dal Cin
Journal:  Health Psychol       Date:  2007-11       Impact factor: 4.267

9.  Violent television viewing during preschool is associated with antisocial behavior during school age.

Authors:  Dimitri A Christakis; Frederick J Zimmerman
Journal:  Pediatrics       Date:  2007-11       Impact factor: 7.124

10.  Exposure to alcohol use in motion pictures and teen drinking in Germany.

Authors:  Reiner Hanewinkel; Susanne E Tanski; James D Sargent
Journal:  Int J Epidemiol       Date:  2007-06-22       Impact factor: 7.196

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  23 in total

1.  Prevalence and correlates of screen-based media use among youths with autism spectrum disorders.

Authors:  Micah O Mazurek; Paul T Shattuck; Mary Wagner; Benjamin P Cooper
Journal:  J Autism Dev Disord       Date:  2012-08

2.  Comparison of sedentary behaviors between children with autism spectrum disorders and typically developing children.

Authors:  Aviva Must; Sarah M Phillips; Carol Curtin; Sarah E Anderson; Melissa Maslin; Keith Lividini; Linda G Bandini
Journal:  Autism       Date:  2013-10-10

3.  Female College Students' Media Use and Academic Outcomes: Results from a Longitudinal Cohort Study.

Authors:  Jennifer L Walsh; Robyn L Fielder; Kate B Carey; Michael P Carey
Journal:  Emerg Adulthood       Date:  2013-09-01

4.  Associations between 24 hour movement behaviours and global cognition in US children: a cross-sectional observational study.

Authors:  Jeremy J Walsh; Joel D Barnes; Jameason D Cameron; Gary S Goldfield; Jean-Philippe Chaput; Katie E Gunnell; Andrée-Anne Ledoux; Roger L Zemek; Mark S Tremblay
Journal:  Lancet Child Adolesc Health       Date:  2018-09-27

5.  Technology and interactive social media use among 8th and 10th graders in the U.S. and associations with homework and school grades.

Authors:  Sandra Tang; Megan E Patrick
Journal:  Comput Human Behav       Date:  2018-04-14

6.  24-Hour Movement Behaviors and Impulsivity.

Authors:  Michelle D Guerrero; Joel D Barnes; Jeremy J Walsh; Jean-Philippe Chaput; Mark S Tremblay; Gary S Goldfield
Journal:  Pediatrics       Date:  2019-08-14       Impact factor: 7.124

7.  Sociodemographic Correlates of Contemporary Screen Time Use among 9- and 10-Year-Old Children.

Authors:  Jason M Nagata; Kyle T Ganson; Puja Iyer; Jonathan Chu; Fiona C Baker; Kelley Pettee Gabriel; Andrea K Garber; Stuart B Murray; Kirsten Bibbins-Domingo
Journal:  J Pediatr       Date:  2021-09-02       Impact factor: 6.314

8.  Parental Restriction of Mature-rated Media and Its Association With Substance Use Among Argentinean Adolescents.

Authors:  Raul Mejia; Adriana Pérez; Lorena Peña; Paola Morello; Christy Kollath-Cattano; Sandra Braun; James F Thrasher; James D Sargent
Journal:  Acad Pediatr       Date:  2015-11-22       Impact factor: 3.107

9.  Television, video game and social media use among children with ASD and typically developing siblings.

Authors:  Micah O Mazurek; Colleen Wenstrup
Journal:  J Autism Dev Disord       Date:  2013-06

Review 10.  Systematic review of sedentary behaviour and health indicators in school-aged children and youth.

Authors:  Mark S Tremblay; Allana G LeBlanc; Michelle E Kho; Travis J Saunders; Richard Larouche; Rachel C Colley; Gary Goldfield; Sarah Connor Gorber
Journal:  Int J Behav Nutr Phys Act       Date:  2011-09-21       Impact factor: 6.457

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