抗疫一线医护人员睡眠质量与焦虑网络分析

Network Analysis of Sleep Quality and Anxiety of First-Line Medical Staff in Epidemic Prevention

目的 探讨抗疫一线医护人员睡眠质量与焦虑网络特征,为加深理解其睡眠质量与焦虑的关系和干预提供依据。方法 采用方便抽样的方法,使用匹兹堡睡眠质量指数量表和焦虑自评量表对新冠疫情防控期间抗疫一线医护人员进行问卷调查。使用网络分析方法进行睡眠质量和焦虑网络构建,使用R语言进行统计分析和可视化。结果 在抗疫一线医护人员睡眠质量与焦虑网络中,“睡眠障碍”和“睡眠质量”“不幸预感”和“静坐不能”“晕厥感”和“手足刺痛”关联程度较高;“乏力”“头昏”和“惊恐”具有最高的预期影响;“睡眠质量”“睡眠障碍”和“乏力”具有最高的桥预期影响;所有节点可预测性值平均为0.778。结论 使用网络分析法对抗疫一线医护人员睡眠质量与焦虑进行探究并发现了他们之间存在有独特的关联路径。针对核心症状进行干预可以最大程度地改善焦虑情绪和睡眠问题,提高其身心健康水平。

Objective: To explore the network characteristics of sleep quality and anxiety in first-line medical staff fighting against COVID-19, further understand the relationship between sleep quality and anxiety, and provide basis for intervention. Methods: Using the convenient sampling method, this paper used the Pittsburgh Sleep Quality Index(PSQI) and Self Rating Anxiety Scale(SAS) to conduct a questionnaire survey on the front-line medical staff who fought against the epidemic during the COVID-19. Network analysis was used to construct sleep quality and anxiety network, and R language was used for statistical analysis and visualization. Results: In the network of sleep quality and anxiety of first-line medical staff fighting against COVID-19, “sleep disorder” and “sleep quality”, “unfortunate premonition” and “inability to sit still”, “syncope” and “hand and foot tingling” were highly related. “Fatigue”, “dizziness” and “panic” had the highest expected influence. “Sleep quality”, “sleep disorder” and “fatigue” had the highest bridge expected influence. The average predictability value of all nodes was 0.778. Conclusion: This paper used network analysis to explore the sleep quality and anxiety of first-line medical staff fighting against COVID-19 and found that there was a unique correlation path between them. Intervention against core symptoms can ameliorate anxiety and sleep problems to the great extent, and provide guidance for improving the physical and mental health.