ArticleBioinformation2023
Impact of smart phone use on adolescence health in India.
Article in Bioinformation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Analysis of sub-health status and related factors in medical students in the Chinese Mainland from the perspective of health ecology.BMC public health · 2025Article
- Letter to Editor on "Impact of smart phone use on adolescence health in India".Bioinformation · 2024Article
- Usage of Electronic Gadgets on Sleep Quality and Physical Activity Levels Among Undergraduate Nursing Students in Karnataka, India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineArticle
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
Smart phone use is on the rise globally, which may have an impact on people's health. The second-largest country in terms of mobile phone usage is India. However, there aren't many studies that have been done in India to evaluate its health impacts. Therefore, it is of interest to assess the effectiveness of codex on the impact of smart phone use on various dimensions of health status among adolescence. The pre-test mean score for knowledge regarding the impact of smart phones on physical health was 1.92, while the post-test mean score was 3.75. The pre-test and post-test standard deviations were 0.91 and 0.93, respectively, and the mean deviation score was the 't'-value that was 11.000 and Significant at the p<0.001*** level. The research was conducted in higher secondary school, and 60 students participated. The research design was a pre-experimental design; a self-administered questionnaire was used to assess the knowledge of Students on the Impact of mobile phone use on various dimensions of health. Most people, on average, spend 3 hours and 15 minutes on their phones each day. As adolescents are engaged in smartphone use, it disturbs their sleep patterns, adversely impacting their short-term memory.
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.