Evidence map›Paper›PMID 33706229›Full record

ArticleInfant behavior & development2021

Screens across the pond: Findings from longitudinal screen time research in the US and UK.

Andrew D Ribner, Gabrielle McHarg

Abstract read
In one paragraph

Article in Infant behavior & development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Andrew D RibnerLearning Research and Development Center, University of Pittsburgh, 3939 O'Hara Street, Pittsburgh, PA 15260, USA. Electronic address: andy.ribner@pitt.edu.
Gabrielle McHargCentre for Family Research, University of Cambridge, Free School Lane, University of Cambridge, Cambridge CB2 3RQ, United Kingdom. Electronic address: gabriellegracem@gmail.com.

Funding

Examining Interactions Between Opportunities and Propensities for Learning Math in Homes and Classrooms in Early Elementary GradesF32HD102106 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RIBNER, ANDREW D · 2020 to 2022
$212k
NICHD NIH HHS F32 HD102106
6 · The paper itself

Abstract

Digital media are increasingly pervasive in the lives of young children. This increase in the availability of digital media might have long-run implications for child development; however, it is too soon to definitively conclude the direction of effects. In part due to this lack of certainty, leading health organizations have chosen to make different recommendations to parents of young children: Many international health organizations (e.g., the American Academy of Pediatrics, World Health Organization) recommend very young children be limited to under one hour of screen time daily, whereas others (e.g., Royal College of Paediatrics and Child Health) have intentionally opted not to make recommendations about specific limits. These guidelines might contribute to parents in different countries making meaningfully different choices about children's use of digital media. Using a sample of N = 303 families recruited in Cambridgeshire, England and New York City prior to the birth of couples' first child, we explore predictors of digital media use across the first two years of life. Data were collected when children were 4, 14, and 24 months of age. Results of latent growth curve analyses show that generally, children spend more time engaging with digital media as they grow older; however, growth mixture models reveal most children fit into one of two classes: One group of children (High Media Users; 52.2 %) engages with a substantial amount of digital media, whereas the other (Low Media Users; 48.8 %) engages with relatively little. Children in the US were approximately 30 % more likely to be in the Low Media Users group and there were no differences in group membership on the basis of parents' psychosocial wellbeing. While these differences could be due to a number of factors, these findings may reflect the power of pediatric recommendations.

Indexed as

InternetScreen TimeChildChild, PreschoolFamilyHumansParentsUnited KingdomUnited Statesinfancylatent growth curve modellinglatent growth mixture modellingscreen timetoddlerhood

Identifiers

PMID33706229
PMCPMC8172472

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.