Evidence map›Paper›PMID 40857443›Full record

ArticleBehaviour & information technology2025

The feasibility of passively tracking children's TV viewing and mobile device use in naturalistic settings.

Teresia M O'Connor, Tatyana Garza, Uzair Alam, Anil Kumar Vadathya, Jennette P Moreno, Alicia Beltran, Samah Haidar, Nimah Haidar, Sheryl O Hughes, Debbe Thompson and 6 more

Abstract read
In one paragraph

Article in Behaviour & information technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

16 authors.

Teresia M O'ConnorUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States.
Tatyana GarzaUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States.
Uzair AlamUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States.
Anil Kumar VadathyaDepartment of Electrical & Computer Engineering, Rice University, Houston, TX, United States.
Jennette P MorenoUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States.
Alicia BeltranUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States.
Samah HaidarRice University, Houston, TX, United States.
Nimah HaidarRice University, Houston, TX, United States.
Sheryl O HughesUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States.
Debbe ThompsonUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States.
Salma M A MusaadUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States.
Tom BaranowskiUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States.
Jason A MendozaPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Joseph YoungDepartment of Electrical & Computer Engineering, Rice University, Houston, TX, United States.
Akane SanoDepartment of Electrical & Computer Engineering, Rice University, Houston, TX, United States.
Ashok VeeraraghavanDepartment of Electrical & Computer Engineering, Rice University, Houston, TX, United States.

Funding

Technology and digital media's influence on preschool children's sleep and weight statusP01HD109876 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI Teresia Margareta O'Connor · 2022 to 2026
$7.5M
Development and Validation of an Automated Measurement of Child Screen Media Use: FLASHR01DK113269 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI O'CONNOR, TERESIA MARGARETA, VEERARAGHAVAN, ASHOK · 2017 to 2021
$2.4M
NICHD NIH HHS P01 HD109876NIDDK NIH HHS R01 DK113269
6 · The paper itself

Abstract

Research on children's technology and digital media (TDM) is hampered by a lack of robust approaches for assessing TDM use. This study assessed the feasibility of passively measuring children's TV screens and mobile devices (TDM) in a naturalistic setting. In the three-day feasibility study, FLASH-TV was set up on one to two TVs the child (5-12 year olds) typically used in the home (n=20). Children's mobile device use was assessed with either the Chronicle App or ScreenTime screenshots. Parents completed three TDM diaries. An exit interview with the parent explored their perceptions of the assessments and the child's TDM use report. Complete data were obtained on 86.7% of days for passive assessment of TV viewing and 84.3% of days for mobile device use. Fifteen parents reviewed complete TDM use reports for their child, with most stating the reports appeared correct for TV (80%) and mobile device (80%). Almost two-thirds had no concerns about having the FLASH-TV installed in their home, while some reported issues about feeling observed. Parents described high burden and frustration with the TDM diaries. Data provided preliminary evidence that passive measurement is feasible for assessing children's TV and mobile device use, with reduced burden for parents.

Indexed as

childfeasibilitymachine learningpassive assessmentscreen useTV

Identifiers

PMID40857443
PMCPMC12330281

What OpenQuestion holds

Textmetadata
LicenceTDM
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.