ArticleJournal of family medicine and primary care2024
Association between increased screen time, sedentary behavior, and insomnia among Indian adults: A cross-sectional nationwide online survey.
Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- Causal Associations Between Sedentary Time and Sleep Traits.Brain and behavior · 2026Article
- Screen time and sleep problems in South Indian preschoolers: a community-based cross-sectional study.BMJ open · 2025Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Context: During the "coronavirus disease 2019 (COVID-19)" pandemic, screen time saw a notable increase, ranging from 2.5 to 7.5 hours per day. Scientific evidence has demonstrated a strong correlation between heightened digital media usage and heightened levels of stress, anxiety, and depression. Research indicates that engaging in screen time for four hours or more daily can elevate the likelihood of experiencing symptoms of depression among children and adolescents by 46-80%. Despite this, there remains a paucity of medical evidence elucidating the intricate interplay between screen time, physical inactivity, and insomnia in adults. Aim: The aim of the study was to estimate the prevalence of increased screen time, insomnia, and physical inactivity among adults and their association during the COVID-19 pandemic. Settings and Design: A cross-sectional study through an online Google Form questionnaire was conducted among the Indian population. Methods and Materials: The study was conducted between June and August 2020 and comprised 658 participants aged 18 and above. Participants were recruited using a chain sampling procedure, with the majority being female, accounting for 54% (355 individuals). Statistical Analysis: The mean and standard deviation were calculated for numerical variables, while percentages and proportions were determined for categorical variables. The Chi-square test was employed to examine associations between variables. For assessing the predictors of screen time, a multivariate logistic regression analysis was conducted. Results: The majority of participants reported screen time exceeding 2 hours per day (85%), clinical insomnia symptoms (59%), moderate to high physical activity levels (92.8%), and low levels of sedentary behavior (60.5%). Variables such as gender, age, and screen time demonstrated significant associations with insomnia and physical activity. The odds ratio for insomnia in relation to screen time was 2.84 (95% confidence interval: 1.78-4.58) with a Conclusions: Screen time showed a significant association with insomnia. Less screen time was reported with increased age.
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