Department of Ophthalmology, KIST Medical College and Teaching Hospital, Lalitpur, Nepal.
Community Dentistry, People's Dental College and Hospital, Kathmandu, Nepal.
JNMA J Nepal Med Assoc. 2022 Jan 15;60(245):22-25. doi: 10.31729/jnma.7092.
The Novel Coronavirus disease 2019 pandemic has sent humanity indoors, replacing human contact with an electronic connection. The mandatory online classes and work from home policy to maintain the social distancing during the pandemic has forced the individual to spend most of the time in front of laptops or mobile screens. Digital eye strain is a group of vision-related symptoms that result from the continuous use of devices with digital displays, such as computers, tablets, and smartphones. The present study is done to find out the prevalence of digital eye strain among the adult population in a tertiary care hospital in the era of the COVID-19 pandemic.
This descriptive cross-sectional study was done from January 2021 to July 2021 in a tertiary care hospital of Nepal after receiving ethical approval from the Institutional Review Committee (Registration number: 077/78/30). Convenience sampling was done. The sample size calculated in our study was 322. Data collection and entry were done in Microsoft Excel, point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data.
The prevalence of digital eye strain was 300 (94.3%) (91.8-96.8 at 95% Confidence Interval) among 318 respondents. Eye strain (irritation, heaviness) was the most common digital eye strain symptom 199 (62.6%) followed by the tiredness of eyes 162 (50.9%).
The present study concluded that the prevalence of digital eye strain in the era of COVID-19 is high as compared to other studies conducted among adults.
2019 年新型冠状病毒病大流行使人类置身室内,以电子连接取代人际接触。为了在大流行期间保持社交距离,强制性的在线课程和居家办公政策迫使个人大部分时间都在笔记本电脑或移动屏幕前度过。数字眼疲劳是一组与视觉相关的症状,这些症状是由持续使用带有数字显示屏的设备引起的,例如计算机、平板电脑和智能手机。本研究旨在发现在 COVID-19 大流行时代,三级保健医院的成年人群中数字眼疲劳的患病率。
本描述性横断面研究于 2021 年 1 月至 7 月在尼泊尔的一家三级保健医院进行,研究获得了机构审查委员会的伦理批准(注册号:077/78/30)。采用便利抽样法。我们的研究计算出的样本量为 322。数据收集和录入在 Microsoft Excel 中进行,使用点估计在 95%置信区间计算,以及二进制数据的频率和比例。
在 318 名应答者中,有 300 名(94.3%)(95%置信区间为 91.8-96.8)出现数字眼疲劳。眼疲劳(刺激、沉重感)是最常见的数字眼疲劳症状 199 例(62.6%),其次是眼睛疲劳 162 例(50.9%)。
与其他在成人中进行的研究相比,本研究表明 COVID-19 时代数字眼疲劳的患病率较高。