Huijer Huda Abu-Saad, Fares Souha, French Douglas J
Hariri School of Nursing, American University of Beirut, Beirut, Lebanon.
School of Psychology, Université de Moncton, Moncton, NB, Canada.
Pain Res Manag. 2017;2017:1472792. doi: 10.1155/2017/1472792. Epub 2017 Jan 16.
. The Pain Catastrophizing Scale (PCS) is the most widely used measure of pain-specific catastrophizing. . The purpose of the present study was to develop and psychometrically evaluate an Arabic-language version of the PCS. . In Study 1, 150 adult chronic nonmalignant pain patients seeking treatment at a hospital setting completed the PCS-A and a number of self-report measures assessing clinical parameters of pain, symptoms of depression, and quality of life. Study 2 employed a cold pressor pain task to examine the PCS-A in a sample of 44 healthy university students. . Exploratory factor analyses suggested a two-factor structure. Confirmatory factor analysis comparing the 2-factor model, Sullivan's original 3-factor model, and a 1-factor model based on the total score all provided adequate fit to the data. Cronbach's alpha coefficients across all models met or exceeded accepted standards of reliability. Catastrophizing was associated with higher levels of depression and increased pain intensity and interference. Catastrophizing predicted decreased quality of life, even after controlling for the contribution of gender, employment, depression, and pain interference. PCS-A scores were positively correlated with heightened experimental pain severity and decreased pain tolerance. . The present results provide strong support for the psychometric properties of the PCS-A.
疼痛灾难化量表(PCS)是使用最广泛的疼痛特异性灾难化测量工具。本研究的目的是开发并对PCS的阿拉伯语版本进行心理测量学评估。在研究1中,150名在医院寻求治疗的成年慢性非恶性疼痛患者完成了PCS-A以及一些评估疼痛临床参数、抑郁症状和生活质量的自我报告测量工具。研究2采用冷压痛任务,在44名健康大学生样本中检验PCS-A。探索性因素分析表明存在两因素结构。比较二因素模型、沙利文最初的三因素模型以及基于总分的单因素模型的验证性因素分析均对数据提供了充分拟合。所有模型的克朗巴哈α系数均达到或超过公认的信度标准。灾难化与更高水平的抑郁、增加的疼痛强度和干扰相关。即使在控制了性别、就业、抑郁和疼痛干扰的影响后,灾难化仍预示着生活质量下降。PCS-A得分与实验性疼痛严重程度增加和疼痛耐受性降低呈正相关。本研究结果为PCS-A的心理测量学特性提供了有力支持。