LeResche Linda, Dworkin Samuel F
Department of Oral Medicine, SC-63, Seattle, WA 98915 U.S.A. Department of Psychiatry and Behavioral Sciences, RP-10, University of Washington, Seattle, WA 98915 U.S.A.
Pain. 1988 Oct;35(1):71-78. doi: 10.1016/0304-3959(88)90278-3.
This research was designed to identify and validate facial expressions of pain occurring in a clinical chronic pain condition. Facial expressions of 28 patients with chronic temporomandibular disorder pain were videotaped during a painful clinical examination procedure and coded using an anatomically based system. Characteristics of the expressions occurring most frequently were compared with self-report measures of pain, anxiety, depression and somatic symptoms. The frequency, duration and intensity of the identified expressions were dependably correlated with pain report, but unrelated to self report of other somatic symptoms, depression or anxiety. A small number of facial expressions of specific negative emotions were also observed; pain report and pain facial expressions were higher for persons showing a greater number of negative affects. These findings support the promise of facial expressions as measures of clinical pain.
本研究旨在识别和验证临床慢性疼痛状况下出现的疼痛面部表情。在痛苦的临床检查过程中,对28名患有慢性颞下颌关节紊乱疼痛的患者的面部表情进行录像,并使用基于解剖学的系统进行编码。将最常出现的表情特征与疼痛、焦虑、抑郁和躯体症状的自我报告测量结果进行比较。所识别表情的频率、持续时间和强度与疼痛报告可靠相关,但与其他躯体症状、抑郁或焦虑的自我报告无关。还观察到少量特定负面情绪的面部表情;表现出更多负面影响的人疼痛报告和疼痛面部表情更高。这些发现支持了面部表情作为临床疼痛测量指标的前景。