ArticleAcademic pediatrics
An Exploration of Electronic Media Use Profiles for Preschoolers of Low-Income Families.
Article in Academic pediatrics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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Who cites it
3 citing papers in PubMed.
- Sleep Patterns and School Readiness of Pre-Kindergarteners from Racially and Ethnically Diverse, Low-Income Backgrounds.The Journal of pediatrics · 2022Observational
- Infant Television Watching Predicts Toddler Television Watching in a Low-Income Population.Academic pediatrics · 2021Article
- The Associations Between Media Use, Midpoint of Sleep, and Sleep Quality in German Preschoolers: A Mediation Analysis Based on the Ulm SPATZ Health Study.Nature and science of sleep · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectiveTo characterize the electronic media (e-media) use of preschoolers from low-income families comprehensively, in terms of platform interaction potential and content.
methodsParents of 380 preschoolers (mean age, 52.5 ± 3.7 months) from diverse, low-income backgrounds reported on their child's age of exposure to various e-media types, frequency of use, amount of background television, and listed all child shows/cartoons and adult shows/general audience shows the child watches, as well as all electronic games/apps the child plays. We calculated descriptive statistics and conducted latent profile analyses to characterize e-media use.
resultsMost children in the sample began watching TV before age 1 year and nearly half watch child shows/cartoons several times a day or more. Most children began playing games/apps before age 3 years and more than one quarter play games several times a day or more. More than 20% of children are exposed to >3 hours of background TV on a typical weekday and 30% are exposed to this amount on a typical weekend day. A Modest E-Media Use profile characterized most children in the sample (70%). Fewer children were characterized by a High Educational Games profile (14%) or a High Adult TV/Elevated Entertainment Games Use and Background TV profile (16%).
conclusionsCollectively, the 3 profiles reflect heterogeneous use patterns with regard to platform interaction potential and educational quality during the course of a typical week. Additional research is warranted to assess linkages between e-media use profiles and indicators of school readiness in cognitive, academic, and social and behavioral domains in diverse, low-income samples.
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