大学生计算机视觉综合征的负担和决定因素:一个横截面研究
Mohammed Abdulrahman Alhassan1, Mohammed AlFehaid2, Turki Almutairi2
1Department of Pediatrics, College of Medicine, Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia.
Journal of education and health promotion
|February 2, 2026
概括
计算机视觉综合征 (CVS) 影响了超过一半的大学生,特别是女性的折射误差和高屏幕时间. 减少屏幕曝光和定期进行眼科检查是减轻其影响的关键.
科学领域:
- 眼科医生 眼科 眼科
- 公共卫生 公共卫生
- 数字健康数字健康
背景情况:
- 计算机视觉综合征 (CVS) 对学生的福祉和学业成功构成重大威胁.
- 了解CVS的患病率和风险因素对于大学人群的有针对性的干预至关重要.
研究的目的:
- 为了确定大学生中计算机视觉综合征 (CVS) 的患病率.
- 在这个人口群体中确定与CVS相关的因素.
主要方法:
- 一项涉及沙特阿拉伯458名大学生的横截面研究.
- 通过电子工具收集数据,包括经过验证的计算机视觉综合征问卷 (CVS-Q).
- 统计分析包括描述性统计和多重物流回归来确定预测因素.
主要成果:
- CVS的流行率为51.1% (234/458名学生).
- 重要预测因素包括女性性别 (aOR=2.13),折射误差 (aOR=1.84) 和每天超过6小时的屏幕时间 (aOR=2.28).
- 对CVS的认识很低 (~40%),社交媒体是主要的信息来源.
结论:
- 过度的屏幕时间,女性性别和折射误差是大学生中CVS的关键预测因素.
- 干预措施应集中在减少屏幕使用时间和鼓励定期进行眼科检查上.
- 进一步的研究可能会探索提高学生意识和采取保护措施的有效策略.
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