ArticleBioinformation2026
A cross -sectional study on social media addiction and its association with sleep quality among young students of age group 18-25 in Madhya Pradesh.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The extensive use of social media by young people is causing worries about how it may affect their physical and mental well-being, especially their ability to sleep. Finding out how common social media addiction is and how it affects sleep quality among students in Chhindwara, Madhya Pradesh, between the ages of 18 and 25, was the goal of this study. The Pittsburgh Sleep Quality Index (PSQI) and the Bergen Social Media Addiction Scale (BSMAS) were used in a cross-sectional study involving 750 college students. Data on demographics and behaviour was gathered using a semi-structured questionnaire. 18.3% of participants were found to be addicted to social media. Higher BSMAS scores were substantially correlated with poorer sleep quality (r = 0.62, p < 0.001). Female gender, early morning usage and more than three hours of daily social media use were all factors that significantly predicted addiction. Those who used social media extensively, posted selfies frequently and experienced digital eye strain had the worst sleep quality. Addiction to social media is strongly linked to young students' poor sleep quality.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.