Evidence mapPaperPMID 41996339Full record

ArticlePloS one2026

Variations in Children's screen time behaviors by weight status among a mostly disadvantaged population.

Paul Son, Yuxin Nie, Qiaoyin Tan, Pengfei Yang, Peyton Murray, Amanda E Staiano, Fahui Wang, Gang Hu, Stewart Gordon, Senlin Chen

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Paul SonSchool of Kinesiology, Louisiana State University, Baton Rouge, Louisiana, United States of America.ORCID https://orcid.org/0009-0000-4212-7796
Yuxin NieSchool of Kinesiology, Louisiana State University, Baton Rouge, Louisiana, United States of America.
Qiaoyin TanSchool of Kinesiology, Louisiana State University, Baton Rouge, Louisiana, United States of America.
Pengfei YangSchool of Kinesiology, Louisiana State University, Baton Rouge, Louisiana, United States of America.
Peyton MurrayPennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America.
Amanda E StaianoPennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America.
Fahui WangDepartment of Geography & Anthropology, Louisiana State University, Baton Rouge, Louisiana, United States of America.
Gang HuPennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America.
Stewart GordonPennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America.
Senlin ChenSchool of Kinesiology, Louisiana State University, Baton Rouge, Louisiana, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this survey study was to comprehensively examine if various types of screen time differed between children with overweight or obesity (OWOB; ≥ 85th BMI percentile) vs. normal weight (NW: < 85th BMI percentile) in a largely socioeconomically disadvantaged population. 739 parent proxies of children aged 5-11 years (M = 9.27, SD = 1.49) mostly enrolled in Medicaid (83.9%) in a United States (US) southern state responded to an online questionnaire called the Movement Behavior Questionnaire - Child (MBQ-C; open version). Eight items of the MBQ-C separately measured passive and interactive screen time on weekdays and weekend days. The survey also gathered parent-reported child weight and height, along with their sociodemographic characteristics. Compared to children with NW (M = 294.5 ± 7.2 min/day), children with OWOB (M = 364.3 ± 10.6 min/day) reported greater amount of total screen time (MDiff = 69.8 min/day, 95% CI = [45.0-94.6], p < 0.001). Of the sample, 24.9% met the sedentary screen time guidelines of no more than 2 hours/day favoring children with NW (OR = 0.59, 95% CI [0.39, 0.86], p = 0.008). The difference of screen time between weight-status groups was greatest in passive screen time, particularly on weekdays (MDiff = 63.2 min/day, 95% CI = 47.6-78.7, p < 0.001). Demographic factors did not significantly moderate the relationship between screen time and weight status. Most of the disadvantaged children failed to meet the screen time guidelines. Children with OWOB reported higher screen time, particularly passive screen time on weekdays. These findings suggest the need for tailored interventions to not only curb overall screen time but also mitigate specific types of screen time behaviors on specific days for children with OWOB (i.e., passive screen use on weekdays).

Indexed as

Body WeightOverweightScreen TimeVulnerable PopulationsBody Mass IndexChildChild, PreschoolFemaleHumansMaleObesitySurveys and QuestionnairesUnited States

Identifiers

PMID41996339
PMCPMC13089690

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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 Socratic graph.