Evidence map›Paper›PMID 41469287›Full record

ArticleEBioMedicine2026

Neurobehavioural links from infant screen time to anxiety.

Pei Huang, Shi Yu Chan, Kathy Xinzhuo Zhou, Jasmine Chuah, Aisleen Mariz Arellano Manahan, Evelyn Chung Ning Law, Shefaly Shorey, Helen Juan Zhou, Marielle Valerie Fortier, Yap-Seng Chong and 2 more

Abstract read
In one paragraph

Article in EBioMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Pei HuangInstitute for Human Development and Potential, Agency for Science, Technology and Research (A∗STAR), Singapore; Department of Diagnostic Imaging, National University Health System, Singapore.
Shi Yu ChanInstitute for Human Development and Potential, Agency for Science, Technology and Research (A∗STAR), Singapore.
Kathy Xinzhuo ZhouMinistry of Health Holdings, Singapore.
Jasmine ChuahInstitute for Human Development and Potential, Agency for Science, Technology and Research (A∗STAR), Singapore.
Aisleen Mariz Arellano ManahanInstitute for Human Development and Potential, Agency for Science, Technology and Research (A∗STAR), Singapore.
Evelyn Chung Ning LawInstitute for Human Development and Potential, Agency for Science, Technology and Research (A∗STAR), Singapore; Department of Pediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore.
Shefaly ShoreyAlice Lee Centre for Nursing Studies, National University of Singapore, Singapore.
Helen Juan ZhouCentre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore.
Marielle Valerie FortierInstitute for Human Development and Potential, Agency for Science, Technology and Research (A∗STAR), Singapore; Department of Diagnostic & Interventional Imaging, KK Women's and Children's Hospital (KKH), Singapore.
Yap-Seng ChongInstitute for Human Development and Potential, Agency for Science, Technology and Research (A∗STAR), Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Obstetrics & Gynaecology, National University Health System, Singapore.
Michael Joseph MeaneyYong Loo Lin School of Medicine, National University of Singapore, Singapore; Douglas Mental Health University Institute, Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Canada.
Ai Peng TanInstitute for Human Development and Potential, Agency for Science, Technology and Research (A∗STAR), Singapore; Department of Diagnostic Imaging, National University Health System, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore. Electronic address: dnrtanap@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfant screen time is linked to many negative outcomes, including anxiety, but the underlying neural correlates and pathways remains understudied. We aimed to assess the directional association between infant screen time, development of brain network topology, decision-making behaviour and anxiety symptoms in adolescence.

methodsUsing data from the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort study, we examined the effects of total daily screen time for infants on developmental outcomes using structural equation modelling. Specifically, we looked at the developmental slopes of network integration for the seven major brain cortical networks between ages 4.5, 6.0, and 7.5, decision-making behaviour assessed using the Cambridge Gambling Task (CGT) and anxiety symptoms assessed using the Multidimensional Anxiety Scale for Children, 2nd Edition (MASC). This study included 168 children from the GUSTO cohort with data on infant screen time (ages 1-2), diffusion MRI (ages 4.5-7.5), data on decision-making performance (CGT at age 8.5), and anxiety symptoms (MASC at age 13). Brain network integration was derived from diffusion MRI and each participant's developmental slopes were modelled using latent growth models. Structural equation modelling assessed pathways linking early screen time to adolescent anxiety, mediated by brain network development and decision-making.

findingsHigher infant screen time was associated with a steeper decline in visual-cognitive control network integration from ages 4.5-7.5 years (β = -1.03 (-1.61, -0.46)), which mediated increased CGT deliberation time at age 8.5. Deliberation time, in turn, was associated with greater anxiety symptoms at age 13. A full serial mediation pathway was significant, linking infant screen time to later anxiety via accelerated brain network maturation and decision-making behaviour (β = 0.033 (0.002, 0.160)).

interpretationHigher infant screen time is linked to accelerated topological maturation of the visual and cognitive control networks, leading to prolonged decision latency and increased adolescent anxiety. Sensory processing impairment may underlie this novel neurodevelopmental pathway, highlighting a potential target for early intervention.

fundingThis research was supported by the Singapore National Research Foundation, Singapore Ministry of Health's National Medical Research Council (NMRC), Singapore, Institute for Human Development and Potential, Agency for Science, Technology and Research, Singapore, the Hope for Depression Research Foundation, USA, the Toxic Stress Network of the JPB Foundation, USA, and the Jacobs Foundation, Switzerland.

Indexed as

AnxietyScreen TimeAdolescentBrainChildChild, PreschoolDecision MakingFemaleHumansInfantMaleSingaporeAnxietyDecision-makingNeural developmentNeuroimagingScreentime

Identifiers

PMID41469287
PMCPMC12902254

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.