John Walsh Centre for Rehabilitation Research, Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Kolling Institute of Medical Research, RNSH, St. Leonards, 2650, NSW, Australia.
Australian Institute of Health Innovation, Macquarie University, North Ryde, NSW, Australia.
Spinal Cord. 2020 Jul;58(7):831-839. doi: 10.1038/s41393-020-0425-7. Epub 2020 Jan 30.
Pre-post cohort mixed factorial design.
Excessive daytime sleepiness (EDS) and chronic pain are major problems for people with spinal cord injury (SCI). However, the relationship between chronic pain and EDS requires clarification. The goal of the study was to determine associations between pain catastrophizing (PC) and pain intensity (PI) with EDS in adults with SCI.
New South Wales, Australia.
Participants included 45 adults with SCI and 44 able-bodied controls. The relationship between PI, PC, and EDS was explored by determining the influence of PC and PI on the performance of both groups in a behavioral test of EDS called the Oxford Sleep Resistance Test. PC and PI were assessed by self-report. The association between EDS, pain, and other relevant factors like fatigue and mood was established using multidimensional scaling in the SCI group data.
PC was found to have a significant association with EDS, with 33.3% falling asleep in the SCI group with low PC, compared with 70% in those with high PC. Only 10% of the controls fell asleep regardless of PC. PI did not significantly influence EDS in either group. Multidimensional scaling showed EDS was closely related to PC, PI, pain interference, fatigue, and mood.
PC appears to be strongly associated with EDS in SCI. Findings suggest significant sleep benefits may occur in adults with SCI by treating cognitive biases like PC, as well as addressing associated factors like fatigue, pain interference, low mood, and so on.
前后测队列混合因子设计。
日间过度嗜睡（EDS）和慢性疼痛是脊髓损伤（SCI）患者的主要问题。然而，慢性疼痛和 EDS 之间的关系仍需阐明。本研究旨在确定脊髓损伤成人的疼痛灾难化（PC）和疼痛强度（PI）与 EDS 之间的关系。
澳大利亚新南威尔士州。
参与者包括 45 名脊髓损伤成年人和 44 名身体健康的对照组。通过确定 PC 和 PI 对 EDS 行为测试（牛津睡眠抵抗测试）中两组表现的影响，来探索 PI、PC 和 EDS 之间的关系。PC 和 PI 通过自我报告进行评估。使用多维标度法对 SCI 组数据中的 EDS、疼痛以及其他相关因素（如疲劳和情绪）进行关联分析。
发现 PC 与 EDS 显著相关，低 PC 的 SCI 组中有 33.3%入睡，而高 PC 的组中有 70%入睡。无论 PC 如何，对照组中只有 10%入睡。PI 对两组的 EDS 均无显著影响。多维标度显示 EDS 与 PC、PI、疼痛干扰、疲劳和情绪密切相关。
PC 似乎与 SCI 中的 EDS 密切相关。研究结果表明，通过治疗认知偏差（如 PC）以及解决疲劳、疼痛干扰、情绪低落等相关因素，可能会使 SCI 成人显著受益于睡眠。
