Evidence map›Paper›PMID 42257122›Full record

ArticleJournal of family medicine and primary care2026

Screen time and its determinants among adolescents in Chennai: A cross-sectional study.

Shwetha Amuthan, Ram Mohan, Latha Ravichandran, Sarala Premkumar

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shwetha AmuthanSenior Resident, Department of Paediatrics, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai, Tamil Nadu, India.
Ram MohanAssistant Professor, Department of Paediatrics, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai, Tamil Nadu, India.
Latha RavichandranProfessor, Department of Paediatrics, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai, Tamil Nadu, India.
Sarala PremkumarProfessor, Department of Paediatrics, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Screen time (ST) has become a critical factor influencing adolescent health. With the rapid expansion of smartphones, tablets, computers and internet access, the ways in which they interact with their environment have undergone massive transformation. This study focuses on the use of screen time and its association with demographic and lifestyle factors in Chennai, India. Methods: The study was a descriptive cross-sectional study among 610 adolescents (53.3% from government aided schools and 46.7% from private school) from Chennai. Data was collected using structured proforma and validated questionnaire (QueST) that was then analysed for ST determinants. Results: The study revealed an average ST of 2.45 ± 1.19 hours on weekdays and 4.21 ± 1.94 hours on weekends. Recreational activities such as video, gaming and social media were the predominant contributors. Increased ST (>2 hours/day) was significantly associated with age (17 years), gender (female), type of school (private), decreased sleep duration, absence of physical activity, incomplete homework, lack of peer interaction, spectacle use and overweight/obesity. Conclusion: The average ST spent by adolescents is more than the recommendation. This study highlights the need for optimal ST practices for promoting a balanced lifestyle among Adolescents.

Indexed as

AdolescentsBMIChennaiphysical activityscreentime

Identifiers

PMID42257122
PMCPMC13241144

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.