在本科生中,与计算机视觉综合征相关的流行,知识和相关因素
Ng Lee Yee1, Lili Faziana Wong Binti Muhammad Riduan Wong1, Mary Anne Stewart1
1Department of Nursing, National University of Malaysia, Faculty of Medicine, Kuala Lumpur, Malaysia.
Florence Nightingale journal of nursing
|November 15, 2024
概括
计算机视觉综合征影响了63%的马来西亚本科生,大多数学生的知识很差. 折射误差和不良姿势等因素增加了风险,突出了需要更好的意识和预防措施的需要.
科学领域:
- 眼科医生 眼科 眼科
- 公共卫生 公共卫生
- 人体工程学就是人体工程学.
背景情况:
- 计算机视觉综合征 (CVS) 是一个日益关注的学生使用数字设备广泛.
- 了解马来西亚本科生中关于CVS的流行率和知识差距对于有针对性的干预至关重要.
研究的目的:
- 在本科生中确定计算机视觉综合征 (CVS) 的患病率.
- 评估有关CVS及其相关风险因素的知识水平.
- 调查CVS与马来西亚公立大学环境中的特定因素之间的关系.
主要方法:
- 一项涉及208名马来西亚国立大学本科生的横截面研究.
- 通过谷歌表格上的自我报告问卷收集数据,使用验证的工具来评估CVS流行,相关因素和知识评估.
- 使用SPSS版本 26.0.0.进行的统计分析.
主要成果:
- 计算机视觉综合征 (CVS) 的患病率为63.0%,其中91.9%的学生对这种疾病的了解很差.
- 与CVS的显著关联包括折射误差/戴眼镜 (69.3%),屏幕位置高于眼睛水平 (79.4%),不良的坐姿 (79.4%) 和近距离观看距离 (82.0%).
- 确定了CVS的独立风险因素,如折射误差,不舒服的坐姿和眼睛与屏幕之间的距离.
结论:
- 在马来西亚的本科生中存在计算机视觉综合征 (CVS) 的高患病率,加上普遍缺乏知识.
- 折射误差,不良的人体工程学 (姿势,屏幕高度) 和近距离观看距离是发展CVS的重要风险因素.
- 促进意识和遵守预防措施的教育举措,包括定期进行眼科检查,对于减轻这一群体的CVS至关重要.
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