Kraaimaat Floris W, Evers Andrea W M
Department of Medical Psychology, University Medical Center, University of Nijmegen, Nijmegen, The Netherlands.
Int J Behav Med. 2003;10(4):343-63. doi: 10.1207/s15327558ijbm1004_5.
This article presents a series of studies aimed at validating a comprehensive pain-coping inventory (PCI) that is applicable to various types of patients with chronic pain. Item and scale analyses were performed for patients with rheumatoid arthritis (RA), patients with chronic headache, and pain clinic outpatients. The following 6 scales were derived from a simultaneous component analysis: Pain Transformation, Distraction, Reducing Demands, Retreating, Worrying, and Resting, all of which were internally reliable. A higher order factor analysis grouped the PCI scales into active (transformation, distraction, reducing demands) and passive (retreating, worrying, resting) pain-coping dimensions. Differences in use of strategy found between RA patients and headache patients indicated that the PCI scales were sufficiently sensitive to measure differences between groups. Concurrent validity was assessed for patients with RA and patients with fibromyalgia and predictive validity was assessed for patients with recently diagnosed RA after 1 and 3 years. In both analyses the validity of the scales was supported, in particular the predictive validity of passive coping scales for future outcomes.
本文介绍了一系列旨在验证一种适用于各类慢性疼痛患者的综合疼痛应对量表（PCI）的研究。对类风湿性关节炎（RA）患者、慢性头痛患者和疼痛门诊患者进行了项目和量表分析。通过同步成分分析得出了以下6个量表：疼痛转化、分散注意力、减少需求、退缩、担忧和休息，所有这些量表在内部都是可靠的。高阶因素分析将PCI量表分为主动（转化、分散注意力、减少需求）和被动（退缩、担忧、休息）疼痛应对维度。RA患者和头痛患者在应对策略使用上的差异表明，PCI量表对测量组间差异具有足够的敏感性。对RA患者和纤维肌痛患者评估了同时效度，对新诊断的RA患者在1年和3年后评估了预测效度。在这两项分析中，量表的效度均得到了支持，尤其是被动应对量表对未来结果的预测效度。
