Yessick Lindsey R, Salomons Tim V
Departments of Psychology, Queen's University, Kingston, ON, Canada.
Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
Pain Rep. 2022 Mar 14;7(2):e991. doi: 10.1097/PR9.0000000000000991. eCollection 2022 Mar-Apr.
Learned helplessness develops with prolonged exposure to uncontrollable stressors and is therefore germane to individuals living with pain or other poorly controlled chronic diseases. This study has developed a helplessness scale for chronic conditions distinct from previous scales that blur the conceptualization of control constructs. Extant measures commonly examine controllability, not the three pillars of helplessness identified by Maier and Seligman (1976): cognitive, emotional, and motivational/motor deficits.
Individuals who self-report a chronic pain condition (N = 350) responded to a Chronic Disease Helplessness Survey (CDHS) constructed to capture cognitive, motivational/motor, and emotion deficits. Exploratory factor analysis (EFA; N = 200) and confirmatory factor analysis (CFA; N = 150) were performed. The CDHS was assessed for convergent and discriminant validity.
A three-factor solution corresponding to cognitive, emotional, and motivational/motor factors was identified by EFA. The solution exhibited sufficient model fit and each factor had a high degree of internal consistency. The CDHS was significantly associated with greater pain intensity and interference, PCS helplessness, lower perceived pain control, and lower general self-efficacy. Individuals with diabetes generally experience greater control strategies over daily symptoms (e.g., diet, oral medications, and insulin) than patients with chronic pain and in this study displayed significantly lower CDHS scores compared to individuals with chronic pain, demonstrating discriminant validity.
This study provides preliminary evidence that the three-factor CDHS is a psychometrically sound measure of helplessness in individuals with chronic pain.
习得性无助随着长期暴露于无法控制的应激源而产生,因此与患有疼痛或其他控制不佳的慢性疾病的个体相关。本研究开发了一种针对慢性疾病的无助感量表,与以往模糊控制结构概念化的量表不同。现有的测量方法通常考察可控性,而非迈尔和塞利格曼(1976年)所确定的无助感的三个支柱:认知、情感和动机/运动缺陷。
自我报告患有慢性疼痛疾病的个体(N = 350)对一项慢性疾病无助感调查(CDHS)做出回应,该调查旨在捕捉认知、动机/运动和情感缺陷。进行了探索性因素分析(EFA;N = 200)和验证性因素分析(CFA;N = 150)。对CDHS进行了收敛效度和区分效度评估。
EFA确定了一个与认知、情感和动机/运动因素相对应的三因素解决方案。该解决方案显示出足够的模型拟合度,且每个因素都具有高度的内部一致性。CDHS与更高的疼痛强度和干扰、PCS无助感、更低的感知疼痛控制以及更低的一般自我效能显著相关。与慢性疼痛患者相比,糖尿病患者通常对日常症状(如饮食、口服药物和胰岛素)有更多的控制策略,在本研究中,与慢性疼痛个体相比,糖尿病患者的CDHS得分显著更低,证明了区分效度。
本研究提供了初步证据,表明三因素CDHS是一种在心理测量学上合理的测量慢性疼痛个体无助感的方法。