902
Views
10
CrossRef citations to date
0
Altmetric
Articles

Identifying Family Television Practices to Reduce Children’s Television Time

, , &
Pages 159-174 | Published online: 02 Apr 2015
 

Abstract

The family system plays an important role in shaping children’s television use. The American Academy of Pediatrics has recommended that parents limit screen time, given the risks associated with children’s heavy television viewing. Researchers have highlighted family television practices that may be effective for reducing children’s viewing, but more work is needed to identify which are most appropriate to communicate to families. Using cross-sectional data from parents of children aged 3–12 (n = 360), we confirmed a positive association between four television practices (background television, television during meals, bedroom television access, nighttime television viewing) and children’s time spent viewing. Findings for the moderating roles of race, parent education, and income provide valuable information for the design of television-reduction interventions. Most notably, results indicate that encouraging families to reduce their children’s nighttime television viewing is a promising direction for achieving healthier viewing amounts for children across developmental ages and demographic contexts.

Additional information

Funding

This project was funded by the Philadelphia Department of Public Health through a cooperative agreement with the Centers for Disease Control and Prevention, U.S. Department of Health and Human Services (Contract # 1020516).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 271.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.