Evidence map›Paper›PMID 42233166›Full record

ArticlePreventive medicine reports2026

Screen time and autism like behavior: Cross-sectional study from Georgia.

Konstantine Chakhunashvili, Davit G Chakhunashvili, Chidhambara Krishna Muthuvelayutham Sangaranachiar, Shri Subaa Mathy Muthuvelayutham Sangaranachiar

Abstract read
In one paragraph

Article in Preventive medicine reports, 2026. 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. 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

4 authors.

Konstantine ChakhunashviliCaucasus University, Caucasus Medicine School, Associate Professor, Tbilisi, Georgia. D. Abuladze Georgian-Italian Clinic, Pediatrician, Tbilisi, Georgia.
Davit G ChakhunashviliAlte University, International School of Medicine, Associate Professor, Tbilisi, Georgia. D. Abuladze Georgian-Italian Clinic, Pediatrician, Tbilisi, Georgia.
Chidhambara Krishna Muthuvelayutham SangaranachiarCaucasus University, Tbilisi, Georgia.
Shri Subaa Mathy Muthuvelayutham SangaranachiarCaucasus University, Tbilisi, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Early childhood is a critical neurodevelopmental period during which environmental exposures may influence cognitive, language, and social outcomes. Screen media use has become increasingly prevalent in infancy and toddlerhood, yet evidence regarding its association with autism screening outcomes remains inconsistent. Methods: A cross-sectional observational study was conducted among children aged 16-30 months. Surveys were completed by primary caregivers between April 2025 and January 2026 through in-clinic recruitment and online distribution. Autism screening was performed using the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F). All variables were parent-reported. Results: Higher average daily screen time at assessment and over the preceding six and twelve months was significantly associated with higher M-CHAT-R/F scores. Screen exposure before 12 months of age was associated with a greater likelihood of moderate- and high-risk screening classifications. In multivariate models, earlier exposure and longer screen time duration remained significant positive predictors of M-CHAT-R/F scores. Conclusion: Both the timing and duration of screen exposure were associated with increased autism screening risk scores. Although causal inferences cannot be made and effect sizes were small to moderate, the findings support current pediatric recommendations discouraging screen exposure during infancy.

Indexed as

AutismM-CHAT-R/FScreen time

Identifiers

PMID42233166
PMCPMC13223515

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Registered trials

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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.