在长期COVID-19的护士中确定失眠的危险因素
Lingxiao Ye1, Feng Zhang2, Lili Wang1,2
1Department of Nursing, Ningbo Medical Centre LiHuili Hospital, Ningbo University, Ningbo, China.
BMC nursing
|August 3, 2024
概括
失眠影响了超过一半的长期COVID-19护士. 关键的危险因素包括神经问题,压力,倦怠和以前的睡眠问题,由新的名ogram模型可视化.
科学领域:
- 医学研究 医学研究
- 流行病学 流行病学
- 医疗保健工作者 医疗保健工作者
背景情况:
- 长期的COVID-19对医疗保健专业人员来说是一个重大的健康挑战.
- 失眠是长期COVID-19患者经历的一种普遍而令人衰弱的症状.
- 由于其苛刻的工作环境,护士可能特别容易受到睡眠障碍的影响.
研究的目的:
- 为了确定长期感染COVID-19的护士失眠的患病率.
- 为了确定这群人群中与失眠相关的潜在风险因素.
- 在长期COVID-19的护士中开发用于失眠的预测性诺莫格拉姆模型.
主要方法:
- 在中国宁波,对437名护士进行了横截面研究.
- 数据收集包括关于人口统计,失眠,倦怠和压力的问卷.
- 通过LASSO回归,确定了风险因素,并构建并验证了名图.
主要成果:
- 54%的长期COVID-19的护士报告失眠.
- 十一个变量,包括神经系统的后果,压力,倦怠和之前的睡眠问题,与失眠有关.
- 诺米图表显示出良好的预测准确性 (AUC=0.866),突出了关键的贡献因素.
结论:
- 长期患有COVID-19的护士中有很大一部分患有失眠.
- 该研究确定了多种风险因素,为预防和管理提供了洞察力.
- 开发的诺米图表作为一个有价值的工具,用于早期识别和干预面临风险的护士.
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