Evidence map›Paper›PMID 42032592›Full record

Observational studyBMC public health2026

Examining differences in parent-reported screen time from school to summer in children: an observational cohort study.

Olivia L Finnegan, R Glenn Weaver, Sarah Burkart, Bridget Armstrong, Elizabeth L Adams, Christopher D Pfledderer, Alexander C McLain, Keith Brazendale, Xuanxuan Zhu, James W White and 2 more

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 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

12 authors.

Olivia L FinneganDepartment of Exercise Science, University of South Carolina, Columbia, SC, USA. olf@email.sc.edu.
R Glenn WeaverDepartment of Exercise Science, University of South Carolina, Columbia, SC, USA.
Sarah BurkartDepartment of Exercise Science, University of South Carolina, Columbia, SC, USA.
Bridget ArmstrongDepartment of Exercise Science, University of South Carolina, Columbia, SC, USA.
Elizabeth L AdamsDepartment of Exercise Science, University of South Carolina, Columbia, SC, USA.
Christopher D PfleddererSchool of Public Health, UTHealth Houston, Austin, TX, USA.
Alexander C McLainDepartment of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA.
Keith BrazendaleDepartment of Health Sciences, University of Central Florida, Orlando, FL, USA.
Xuanxuan ZhuDepartment of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA.
James W WhiteDepartment of Exercise Science, University of South Carolina, Columbia, SC, USA.
Srihari NelakuditiDepartment of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA.
Michael W BeetsDepartment of Exercise Science, University of South Carolina, Columbia, SC, USA.

Funding

What's UP (Undermining Prevention) with Summer? Etiology of Accelerated Weight Gain during Summer vs. School YearR01DK116665 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI MICHAEL W BEETS · 2018 to 2026
$5.8M
Biomedical-Behavioral Interface: Prevention and Developmental Sciences TrainingT32GM081740 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI PRINZ, RONALD J · 2008 to 2022
$4.5M
Utility and feasibility of activity type to augment consumer wearable-based physical activity energy expenditure prediction equations using heartrate and movement in childrenF31DK136205 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI WHITE III, JAMES W. · 2023 to 2024
$83k
Eunice Kennedy Shriver National Institute of Child Health and Human Development F31HD115296NIDDK NIH HHS F31DK136205NIDDK NIH HHS R01DK116665NIGMS NIH HHS T32GM081740
6 · The paper itself

Abstract

backgroundThe purpose of this study was to (1) examine differences in child screen time from school to summer, and (2) assess how attending structured programming relates to child screen time during the summer in a diverse cohort of children.

methodsParents completed daily time use diaries for their children (n = 1,032 children; 9.7 ± 1.8 years old; 33% Black; 50% girls) for 14 days at two timepoints: (1) during the school year (April/May) and (2) in the summer (July) for three years (2021–2023). Time use diaries collected parent-reported screen time and the child’s participation in structured programming (i.e., summer day camp). Screen time was measured as the total amount of time a child spent in front of a screen that day, including educational or school-related use. Mixed-effects models assessed differences in total daily screen time between school-year weekdays and summer weekdays, and across hours of structured programming attendance on summer weekdays by sex. Models were adjusted for age, ratio of poverty to income, social assistance usage, and parent education. RESULTS/

findingsScreen time was + 54.7 (95% CI: 51.3, 58) and + 44.5 (95% CI: 41.2, 47.8) minutes/day higher during summer compared to school year across boys and girls, respectively. On summer weekdays, for every additional hour of attendance in structured programming, children had an -8-minute (boys 95% CI: -6.8, -9.0; girls 95% CI: -7.1, -9.2) reduction in screen time.

conclusionsChildren accumulated more screen time during the summer compared to the school year. However, structured programming during the summer may play a protective role in limiting child screen time, highlighting an avenue for interventions to reduce screen time during a vulnerable window for children’s health.

Indexed as

ParentsSchoolsScreen TimeChildCohort StudiesFemaleHumansMaleSeasonsTime FactorsChildrenScreen timeStructured programmingVacation

Identifiers

PMID42032592
PMCPMC13248464

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.