m+Medelevator.RU
← Поиск публикаций
Journal of optometry · 2025

Objective measurements of digital habits in a university population and their relationship with refraction and axial length.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Varona-Gómez Félix Tomás, Salmerón-Campillo Rosa María, Fernández-Sánchez Vicente, Jaskulski Mateusz, Martínez-Ros Ginés, Díaz-Guirado José Ángel, López-Gil Norberto

Аннотация

PURPOSE: To evaluate the relationship between myopia and potential "myopiagenic" digital habits (excessive screen time, near face-device distance or low ambient light level).

METHODS: 82 university students (21 ± 3 years) underwent a comprehensive optometric examination, including subjective refraction and axial length (AL) measurements. Digital habits were objectively measured using a mobile application (app) capturing screen time, face-device distance, ambient light level and number of interruptions larger than 20″ per day (called "events").

RESULTS: The collection of 40 M data points showed mean values: 57 ± 40 min of daily screen time, 355 ± 67 mm of face-device distance, 305 ± 215 lux of ambient light level and 52 ± 32 events. No correlation was found between spherical equivalent refraction (SER) and digital habits. Particularly, SER was more negative for greater screen times, nearer face-device distances, lower light levels or more events. AL was inversely correlated with SER decrease. Correlation coefficients were very weak (R < 0.14) in all cases.

CONCLUSIONS: The app quantified smartphone-based digital habits in a university population. The study revealed weak correlations between digital habits and myopia, indicating that longer-duration studies in a greater population are needed to obtain powerful correlation coefficients.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты