Evidence map›Paper›PMID 42769854›Full record

ArticleIEEE access : practical innovations, open solutions2026

Objective Assessment of Media Screens Effect on Physical Activity in Preschool Children.

Md Billal Hossain, Steven Holiday, Chuong Bui, Matthew Cribbet, Susan W White, Y U Gan, Edward Sazonov

Abstract read
In one paragraph

Article in IEEE access : practical innovations, open solutions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Md Billal HossainDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA.ORCID 0000-0002-0155-748X
Steven HolidayDepartment of Advertising and Public Relations, The University of Alabama, Tuscaloosa, AL 35487, USA.ORCID 0000-0002-2319-9951
Chuong BuiAlabama Life Research Institute, The University of Alabama, Tuscaloosa, AL 35487, USA.ORCID 0000-0001-6589-1025
Matthew CribbetDepartment of Psychology, The University of Alabama, Tuscaloosa, AL 35487, USA.ORCID 0000-0002-0784-7250
Susan W WhiteDepartment of Psychology, The University of Alabama, Tuscaloosa, AL 35487, USA.ORCID 0000-0002-6274-3147
Y U GanFischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0003-3409-3412
Edward SazonovDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA.ORCID 0000-0001-7792-4234

Funding

Assessing Children's Screen Time with Wearable SensorR21HD104164 · NICHD · UNIVERSITY OF ALABAMA IN TUSCALOOSA · PI GAN, YU · 2021 to 2022
$354k
NICHD NIH HHS R21 HD104164
6 · The paper itself

Abstract

Media screen time is linked to physical and psychosocial health outcomes in preschool children (≤5 years), but evidence largely relies on parent reports or a single device type. This study proposes the use of a novel sensor, Screen Time Tracker (STT), to perform an objective assessment of the effect of screen time on physical activity in preschool children under free-living conditions. Egocentric images (10-s intervals) and triaxial accelerometer data (128 Hz) were collected from 25 children aged 3-5 years using the STT device. Accelerometer data were processed to estimate activity Counts Per Minute (CPM). A deep learning model was used to detect multiple types of active screens in images and compute Screen Counts per Minute (SCM; range, 0-6). On average, children exhibited lower CPM during screen interaction (1181 for SCM > 0) than during screen-free minutes (1628 for SCM = 0). Among screen interaction minutes, CPM decreased progressively with increasing SCM (from 1629 at SCM = 1 to 132 at SCM = 6). A multilevel negative binomial model with a log link, accounting for minutes nested within days and days nested within children, showed that higher SCM above a child's own daily mean was significantly associated with lower activity counts in a typical child on a typical day (b = -0.228, p < .001, exp[b] = 0.796). Thus, for each one-count increase in SCM above a child's daily mean, expected CPM decreased by approximately 20.4%. Furthermore, higher sustained screen interaction minutes were associated with lower physical activity. Children who continuously engaged with screens for 2 minutes showed mean CPMs of 1421, while continuous engagement for 15 minutes or more had a mean CPM of 693. Multi-level analysis showed that longer SSIM bouts were associated with lower mean CPM (b = -46.677, p = .005). This proof-of-concept study objectively shows that increased screen engagement is associated with lower physical activity intensity in preschool children. These findings provide useful evidence for epidemiologists, pediatricians, and behavioral scientists studying the health effects of media screen use in children.

Indexed as

Activity intensitypreschool childrenscreen timewearable sensor

Identifiers

PMID42769854
PMCPMC13593357

What OpenQuestion holds

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Registered trials

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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.