Evidence map›Paper›PMID 42109396›Full record

ArticleBioinformation2026

Effect of screen time duration on psychosocial and behavioral aspects in adolescents (10-19 years): A cross-sectional study.

Naikey Minarey, Gaurav Kumar Prajapati, Tushar Talhan, Ankit Tiwari, Dileep Dandotiya

Abstract read
In one paragraph

Article in Bioinformation, 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
–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

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

5 authors.

Naikey MinareyDepartment of Pediatrics, Sunderlal Patwa Government Medical College, Mandsaur, Madhya Pradesh, India.
Gaurav Kumar PrajapatiDepartment of Pediatrics, Government Medical College, Seoni, Madhya Pradesh, India.
Tushar TalhanDepartment of Psychiatry, Chhindwara Institute of Medical Sciences, Chhindwara, Madhya Pradesh, India.
Ankit TiwariDepartment of Pediatrics, Index Medical College and Hospital, Indore, Madhya Pradesh, India.
Dileep DandotiyaDepartment of Community Medicine, Chhindwara Institute of Medical Sciences, Chhindwara, Madhya Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adolescents have extensive use of screens and they have common complains related to mental health. Here a systematic review was done to understand the association between screen time and adolescent's mental health. Therefore, it is of interest to assess the effect of duration of screen time on psychosocial and behavioural aspects in adolescent children among 300 randomly selected children at the Department of Paediatrics, Index Medical College, Hospital and Research Centre, Indore. Data were collected from both inpatient and outpatient departments of the hospital using the strengths and difficulties questionnaire and their screen time. Most adolescents had personal gadgets (30.3%) or used those owned by close family members. A majority (78.3%) reported daily screen time between 1-5 hours, while 21.7% spent 6-10 hours daily on screen-based activities. Psychological outcomes highlighted alarming levels of distress, with 67.7% exhibiting depressive symptoms and 79.7% showing some form of anxiety. Behavioral issues such as irritability (34.3%), aggression (22.7%) and withdrawal (16.7%) were also prevalent. Thus, show that both the duration and content of screen use play a pivotal role in shaping mental health outcomes, making it imperative for caregivers, educators and policymakers to take a proactive role in moderating screen habits.

Indexed as

behavioralmobile phonespsychologicalScreen time

Identifiers

PMID42109396
PMCPMC13150240

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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.