Karmann Anna Julia, Lauer Christoph, Ziegler Elisabeth, Killian Lena, Horn-Hofmann Claudia, Lautenbacher Stefan
Physiological Psychology, University of Bamberg, Markusplatz 3, 96047 Bamberg, Germany.
Center of Sleep Medicine, Hospital Ingolstadt, Krumenauerstr. 25, 85049 Ingolstadt, Germany.
Biol Psychol. 2018 May;135:1-7. doi: 10.1016/j.biopsycho.2018.02.015. Epub 2018 Mar 6.
Strong alterations of night sleep (e.g., sleep deprivation, insomnia) have appeared to affect pain in inducing hyperalgesic changes. However, it has remained unclear whether everyday variations of night sleep in healthy individuals have any influence on pain processing. Forty healthy subjects were studied by portable polysomnography (PSG) and sleep questionnaire during two non-consecutive nights at home. Experimental pain parameters (pressure pain threshold, temporal summation = TS, conditioned pain modulation = CPM) and situational pain catastrophizing (Situational Catastrophizing Questionnaire = SCQ) were always assessed the evening before and the morning after sleep recording in a pain laboratory. Linear regression analyses were computed to test the prediction of overnight changes in pain by different sleep parameters. Significant prediction of changes in pain parameters by sleep parameters was limited (2 out of 12 analyses), indicating that everyday variations in sleep under non-pathological and low stress conditions are only weakly associated with pain.
夜间睡眠的强烈改变（如睡眠剥夺、失眠）似乎会在诱发痛觉过敏变化时影响疼痛。然而，健康个体夜间睡眠的日常变化是否会对疼痛处理产生任何影响仍不清楚。通过便携式多导睡眠图（PSG）和睡眠问卷，在两个非连续的在家夜晚对40名健康受试者进行了研究。在疼痛实验室中，总是在睡眠记录前一晚和后一天早晨评估实验性疼痛参数（压力疼痛阈值、时间总和=TS、条件性疼痛调制=CPM）和情境性疼痛灾难化（情境性灾难化问卷=SCQ）。进行线性回归分析以测试不同睡眠参数对夜间疼痛变化的预测。睡眠参数对疼痛参数变化的显著预测有限（12项分析中有2项），表明在非病理和低压力条件下睡眠的日常变化与疼痛的关联较弱。
