睡眠不足和视网膜风险:来自全国调查的机器学习结果
Ji Woo Kim1, Min Kim2, Christopher Seungkyu Lee3
1Yonsei University College of Medicine, Seoul, Republic of Korea.
Retina (Philadelphia, Pa.)
|January 22, 2026
概括
周日睡眠时间短 (<6小时) 与膜 (ERM) 的风险更高有关. 这一发现表明,睡眠不足可能是ERM发展的可修改因素,特别是在某些人群中.
科学领域:
- 眼科医生 眼科 眼科
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 视网膜膜 (ERM) 是一种影响视力的眼睛疾病.
- 了解ERM的风险因素对于预防和管理至关重要.
- 睡眠模式越来越被认为会影响整体健康.
研究的目的:
- 调查睡眠剥夺与视网膜膜 (ERM) 患病率之间的联系.
- 利用机器学习技术来分析大规模的健康调查数据.
- 为了确定ERM的潜在可修改的风险因素.
主要方法:
- 从韩国国家健康和营养检查调查 (2017-2020) 中对15240名参与者的横截面分析.
- 基于机器学习的逻辑回归来建模睡眠剥夺 (工作日少于6小时) 与ERM之间的关联.
- 使用培训/内部验证 (2018-2020) 和外部验证 (2017) 数据集的验证. 通过Shapley值评估的特征重要性.
主要成果:
- 在研究队列中观察到9.59%的ERM流行率.
- 睡眠不足与ERM的风险增加显著相关 (OR 1.247).
- 这种关联在非高风险酒精消费者和糖尿病患者中尤为明显. 睡眠不足被确定为第四个最有影响力的预测因素.
结论:
- 周日睡眠不足与ERM的患病率增加了1.25倍.
- 睡眠不足可能是ERM的可修改风险因素.
- 建议进行进一步的前性研究,以确定因果关系并阐明潜在的生物机制.
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