Kersh B C, Bradley L A, Alarcón G S, Alberts K R, Sotolongo A, Martin M Y, Aaron L A, Dewaal D F, Domino M L, Chaplin W F, Palardy N R, Cianfrini L R, Triana-Alexander M
Division of Clinical Immunology and Rheumatology, University of Alabama School of Medicine, University of Alabama at Birmingham, 35294-0006, USA.
Arthritis Rheum. 2001 Aug;45(4):362-71. doi: 10.1002/1529-0131(200108)45:4<362::AID-ART349>3.0.CO;2-P.
To determine whether variables derived from the self-regulatory model of health and illness behavior accurately predict status as a patient or nonpatient with fibromyalgia (FM).
Subjects were 79 patients who met American College of Rheumatology (ACR) criteria for FM and 39 community residents who met ACR criteria for FM but had not sought medical care for their symptoms (nonpatients). Subjects were administered 14 measures that produced 6 domains of variables: background demographics and pain duration; psychiatric morbidity; and personality, environmental, cognitive, and health status factors. These domains were entered in 4 different hierarchical logistic regression analyses to predict status as patient or nonpatient.
The full regression model was statistically significant (P < 0.0001) and correctly identified 90.7% of the subjects with a sensitivity of 92.4% and a specificity of 87.2%. The best individual predictors of group status were self-reports of self-efficacy, negative affect, recent stressful events, and perceived pain. Relative to nonpatients, patients reported higher levels of negative affect and perceived pain and a greater number of recent stressful experiences, as well as lower levels of self-efficacy.
Consistent with the self-regulatory model of health and illness behavior, psychosocial and health status variables predict health care-seeking behavior in persons with FM independently of background demographics and psychiatric morbidity. These variables may influence the severity of symptoms experienced by persons with this disorder as well as their health care-seeking behavior, but they are not necessary to produce abnormal pain sensitivity in FM.
确定源自健康与疾病行为自我调节模型的变量能否准确预测纤维肌痛(FM)患者或非患者的状态。
研究对象包括79例符合美国风湿病学会(ACR)纤维肌痛标准的患者以及39名符合ACR纤维肌痛标准但未因症状寻求医疗护理的社区居民(非患者)。对研究对象进行了14项测量,这些测量产生了6个变量领域:背景人口统计学和疼痛持续时间;精神疾病发病率;以及人格、环境、认知和健康状况因素。将这些领域纳入4种不同的分层逻辑回归分析中,以预测患者或非患者的状态。
完整的回归模型具有统计学意义(P < 0.0001),正确识别了90.7%的研究对象,敏感性为92.4%,特异性为87.2%。组状态的最佳个体预测因素是自我效能感、消极情绪、近期压力事件和感知疼痛的自我报告。与非患者相比,患者报告的消极情绪和感知疼痛水平更高,近期压力经历更多,自我效能感水平更低。
与健康与疾病行为自我调节模型一致,心理社会和健康状况变量可独立于背景人口统计学和精神疾病发病率预测FM患者的就医行为。这些变量可能会影响该疾病患者所经历症状的严重程度以及他们的就医行为,但它们并非产生FM异常疼痛敏感性所必需的因素。