Duke-NUS Medical School, Singapore; SingHealth Duke-NUS Institute for Patient Safety & Quality, Singapore.
SingHealth Duke-NUS Institute for Patient Safety & Quality, Singapore.
Sleep Med. 2023 Feb;102:205-212. doi: 10.1016/j.sleep.2022.12.026. Epub 2023 Jan 6.
Improved sleep hygiene is postulated to be protective against burnout. Previous studies assessing a potential association between poor sleep quality and burnout showed incongruent results.
To investigate the relationship between sleep quality and burnout.
Setting and Participants: A survey was conducted in a large health care cluster in Singapore and included health care staff from different professions (N = 4777). The Maslach Burnout Inventory - Human Services Survey was used to measure burnout across 3 sub-scales: Emotional Exhaustion, Depersonalization and Personal Accomplishment, while the Pittsburgh Sleep Quality Index (PSQI) was used to gauge the participants' sleep quality. Multi-variable general linear model ANOVA was used for correlation analysis.
There is a strong correlation between sleep quality and all 3 burnout sub-scales. PSQI is associated with Emotional Exhaustion (F value = 90.65, P-value <.0001), Depersonalization (F value = 49.46, P-value <.0001) and Personal Accomplishment (F value = 12.29, P-value <.0001). PSQI shows a significant linear upward trend with Emotional Exhaustion (linear contrast = 957.06, P-value <.0001) and with Depersonalization (linear contrast = 521.92, P-value <.0001). With Personal Accomplishment, PSQI shows a significant linear downward trend (linear contrast = 123.61, P-value <.0001).
Poor sleep quality is progressively and linearly associated with burnout and its 3 sub-scales. Future studies that evaluate interventions which improve sleep quality among health care workers may be useful in reducing burnout and improving patient care.
改善睡眠卫生被认为可以预防倦怠。以前评估睡眠质量差与倦怠之间潜在关联的研究结果不一致。
研究睡眠质量与倦怠的关系。
地点和参与者:在新加坡的一个大型医疗保健集群中进行了一项调查,调查对象包括来自不同专业的医护人员(N=4777)。使用 Maslach 倦怠量表-人力资源服务调查(Maslach Burnout Inventory - Human Services Survey)来衡量 3 个子量表的倦怠情况:情绪衰竭、去人格化和个人成就感,而匹兹堡睡眠质量指数(Pittsburgh Sleep Quality Index,PSQI)则用于评估参与者的睡眠质量。使用多变量一般线性模型 ANOVA 进行相关分析。
睡眠质量与所有 3 个倦怠子量表之间存在很强的相关性。PSQI 与情绪衰竭(F 值=90.65,P 值<.0001)、去人格化(F 值=49.46,P 值<.0001)和个人成就感(F 值=12.29,P 值<.0001)相关。PSQI 与情绪衰竭呈显著线性上升趋势(线性对比=957.06,P 值<.0001),与去人格化呈显著线性上升趋势(线性对比=521.92,P 值<.0001)。而与个人成就感呈显著线性下降趋势(线性对比=123.61,P 值<.0001)。
睡眠质量差与倦怠及其 3 个子量表呈渐进性和线性相关。未来评估改善医护人员睡眠质量的干预措施的研究可能有助于减少倦怠,改善患者护理。