Evidence map›Paper›PMID 40053802›Full record

ArticleJournal of medical Internet research2025

Association of Screen Content With Early Development Among Preschoolers in Shanghai: 7-Day Monitoring Study With Auto Intelligent Technology.

Hao Chen, Yi Sun, Sha Luo, Yingyan Ma, Chenshu Li, Yingcheng Xiao, Yimeng Zhang, Senlin Lin, Yingnan Jia

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

9 authors.

Hao Chen *Preventive Medicine and Health Education Department, School of Public Health, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-7886-7822
Yi Sun *Preventive Medicine and Health Education Department, School of Public Health, Fudan University, Shanghai, China.ORCID https://orcid.org/0009-0009-9876-0844
Sha Luo *Xuhui Maternity and Child Healthcare Center, Shanghai, China.ORCID https://orcid.org/0009-0005-2966-0103
Yingyan Ma *Shanghai Eye Hospital, Shanghai Eye Diseases Prevention & Treatment Center, Shanghai, China.ORCID https://orcid.org/0000-0003-4250-0356
Chenshu LiPreventive Medicine and Health Education Department, School of Public Health, Fudan University, Shanghai, China.ORCID https://orcid.org/0009-0005-2449-6674
Yingcheng XiaoPreventive Medicine and Health Education Department, School of Public Health, Fudan University, Shanghai, China.ORCID https://orcid.org/0009-0005-7890-5306
Yimeng ZhangPreventive Medicine and Health Education Department, School of Public Health, Fudan University, Shanghai, China.ORCID https://orcid.org/0009-0005-7890-5306
Senlin LinShanghai Eye Hospital, Shanghai Eye Diseases Prevention & Treatment Center, Shanghai, China.ORCID https://orcid.org/0000-0002-0166-1308
Yingnan JiaPreventive Medicine and Health Education Department, School of Public Health, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0001-9211-4061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is unclear how exposure to different types of screen content is associated with early development among preschool children.

objectiveThis study aims to precisely evaluate the screen exposure time across different content types and to explore the associations with the Ages and Stages Questionnaire, Third Edition (ASQ-3) score and 5 capacity domains in children aged 34.5-66 months.

methodsThis monitoring study used intelligent technology to collect data on the 7-day screen time and the time spent viewing each content type. The participants were 2 groups of Shanghai kindergarten kids. The data were collected between March 2023 and July 2023. Screen exposure data (total daily time and time for each type of content) were collected from children aged between 34.5 and 66 months. A self-designed questionnaire and the Healthy Screen Viewing for Children intelligent technology app were used to assess screen exposure to all media and tablets. The ASQ-3 was used to assess early development in children aged 34.5-66 months.

resultsIn the 535-child sample, the results of linear regression analysis indicated that both screen time of more than 60 minutes and exposure to smartphones and tablets were negatively associated with ASQ-3 score. Among 365 participants with data collected by the Healthy Screen Viewing for Children app, median regression showed that the median total ASQ-3 score was negatively associated with screen time for noneducational content (β=-.055; 95% CI -0.148 to -0.006; P=.03), screen time for both educational and noneducational content (β=-.042; 95% CI -0.081 to -0.007; P=.001), and fast-paced content (β=-.034; 95% CI -0.062 to -0.011; P=.049). The median gross motor score was negatively associated with screen time for parental guidance-13-rated content (β=-.015; 95% CI -0.022 to 0.009; P=.03), educational and noneducational content (β=-.018, 95% CI -0.038 to -0.001; P=.02), static content (β=-.022; 95% CI -0.050 to 0.007; P=.02). This study also revealed that the median fine motor score was negatively associated with screen time for guidance-rated content (β=-.032, 95% CI -0.057 to -0.003; P=.006), parental guidance (PG) rated content (β=-.020; 95% CI -0.036 to -0.007; P=.004), noneducational content (β=-.026; 95% CI -0.067 to -0.003; P=.01), both educational and noneducational content (β=-.020; 95% CI -0.034 to -0.001; P<.001), fast-paced content (β=-.022; 95% CI -0.033 to -0.014; P<.001), static content (β=-.034; 95% CI -0.050 to 0.018; P<.001), animated content (β=-.038; 95% CI -0.069 to -0.001; P=.004), and screen use during the daytime (β=-.026; 95% CI -0.043 to 0.005; P=.005).

conclusionsThe results indicated that the time spent viewing noneducational, static, fast-paced, and animated content was negatively associated with early development among preschool children. Limiting screen time in relevant aspects is recommended.

Indexed as

Child DevelopmentScreen TimeChild, PreschoolChinaFemaleHumansMaleSmartphoneSurveys and Questionnairesearly developmentintelligent technologypreschoolscreen timetypes of screen content

Identifiers

PMID40053802
PMCPMC11928067

What OpenQuestion holds

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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.