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  1. Shah M, Natarajan SB, Ahmad N
    Ir J Med Sci, 2025 Feb 26.
    PMID: 40009277 DOI: 10.1007/s11845-025-03920-9
    BACKGROUND: The rise in usage of smartphones and digital devices among pediatric population has raised concerns about their eye's health. It is of particular interest in relation to dry eye disease (DED) and inflammatory conjunctivitis. Prolonged screen exposure is linked to reduced blink rates, tear evaporation, and tear break-up time (TBUT), that can lead to ocular discomfort and tear instability.

    OBJECTIVE: To find association between excessive screen time, dry eye disease, and inflammatory conjunctivitis in children aged 3 to 11 years.

    METHODS: A cross-sectional correlational study was conducted at a tertiary care hospital Islamabad. Non-probability purposive sampling technique was adopted. Detailed ophthalmic examinations, including TBUT and blink rate assessments, were performed. The relationship between excessive screen time, TBUT, blink rate, and inflammatory conjunctivitis was assessed using multivariate analysis. A 95% confidence interval was kept significant.

    RESULTS: A total of 479 participants aged 6.7 ± 1.9 were included. The mean screen time was 4.52 ± 1.49 hour/day, while mean TBUT was 10.29 ± 3.17. A significant negative relationship was found between screen time and TBUT (B =  - 0.351, p 

  2. Shah M, Natarajan SB, Ahmad N
    PLoS One, 2025;20(4):e0317961.
    PMID: 40168308 DOI: 10.1371/journal.pone.0317961
    PURPOSE: The purpose of this study was to find the relationship between excessive screen time exposure and the development of astigmatism in children.

    METHODS: A cross-sectional correlational study was conducted at tertiary care hospital, Islamabad between June 2023 to May 2024. In total, 431 patients were included in this study after informed written consent. Screen time exposure was assessed through smartphone usage history or parental reports of daily use of smart gadget(s). Tear break-up time was measured using a fluorescein strip, cobalt blue filter on a slit-lamp biomicroscope and a stopwatch. Data was analyzed using univariate and multivariate statistical tests including Spearman's correlation and regression analyses.

    RESULTS: The study included 431 children (mean age: 6.70 ±  1.80 years; 55% male, 45% female). Mean screen time was 4.54 ±  1.52 hours/day. A positive correlation between screen time and the magnitude of astigmatism was observed (r = 0.33, p 

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