Chronic Pain Wellness Center, Phoenix VA Health Care System, Phoenix, AZ, United States of America.
Department of Family, Community and Preventive Medicine, University of Arizona College of Medicine-Phoenix, Phoenix, AZ, United States of America.
PLoS One. 2024 Apr 29;19(4):e0299126. doi: 10.1371/journal.pone.0299126. eCollection 2024.
Currently available pain assessment scales focus on pain-related symptoms and limitations imposed by pain. Validated assessment tools that measure how pain is regulated by those who live well with pain are missing. This study seeks to fill this gap by describing the development and preliminary validation of the Biobehavior Life Regulation (BLR) scale. The BLR scale assesses engagement, social relatedness, and self-growth in the presence of chronic pain and the unpredictability of chronic pain. Sources for items included survivor strategies, patient experiences, existing scales, and unpredictable pain research. Review for suitability yielded 52 items. Validation measures were identified for engagement, social relatedness, self-growth, and unpredictability of pain. The study sample (n = 202) represented patients treated in the Phoenix VA Health Care System (n = 112) and two community clinics (n = 90). Demographic characteristics included average age of 52.5, heterogeneous in ethnicity and race at the VA, mainly Non-Hispanic White at the community clinics, 14 years of education, and pain duration of 18 years for the VA and 15.4 years for community clinics. Exploratory factor analysis using Oblimin rotation in the VA sample (n = 112) yielded a two-factor solution that accounted for 48.23% of the total variance. Confirmatory factor analysis (CFA) in the same sample showed high correlations among items in Factor 1, indicating redundancy and the need to further reduce items. The final CFA indicated a 2-factor solution with adequate fit to the data. The 2-factor CFA was replicated in Sample 2 from the community clinics (n = 90) with similarly adequate fit to the data. Factor 1, Pain Regulation, covered 8 items of engagement, social relatedness, and self-growth while Factor 2, Pain Unpredictability, covered 6 items related to the experience of unpredictable pain. Construct validity showed moderate to higher Pearson correlations between BLR subscales and relevant well-established constructs that were consistent across VA and community samples. The BLR scale assesses adaptive regulation strategies in unpredictable pain as a potential tool for evaluating regulation resources and pain unpredictability.
目前可用的疼痛评估量表主要关注与疼痛相关的症状和疼痛带来的限制。缺乏衡量那些疼痛管理良好的人如何调节疼痛的有效评估工具。本研究旨在通过描述生物行为生活调节(BLR)量表的开发和初步验证来填补这一空白。BLR 量表评估了慢性疼痛和慢性疼痛的不可预测性存在时的参与度、社交关联性和自我成长。项目的来源包括幸存者策略、患者体验、现有量表和不可预测性疼痛研究。经过适用性审查,共产生了 52 个项目。确定了用于评估参与度、社交关联性、自我成长和疼痛不可预测性的验证措施。研究样本(n=202)代表了在凤凰城退伍军人事务部医疗保健系统(n=112)和两个社区诊所(n=90)接受治疗的患者。人口统计学特征包括平均年龄为 52.5 岁,退伍军人事务部的种族和民族多种多样,主要是非西班牙裔白人,社区诊所的患者主要是非西班牙裔白人,受教育程度为 14 年,退伍军人事务部的疼痛持续时间为 18 年,社区诊所的疼痛持续时间为 15.4 年。退伍军人事务部样本(n=112)使用 Oblimin 旋转进行探索性因素分析得出了一个可以解释 48.23%总方差的双因素解决方案。在同一样本中进行验证性因素分析(CFA)表明,因素 1 中的项目之间相关性较高,表明存在冗余,需要进一步减少项目。最终的 CFA 表明,数据拟合良好的 2 因素解决方案。在社区诊所的样本 2(n=90)中,也得到了类似的数据拟合良好的 2 因素 CFA。因素 1(疼痛调节)涵盖了参与度、社交关联性和自我成长的 8 个项目,而因素 2(疼痛不可预测性)涵盖了与不可预测性疼痛相关的 6 个项目。结构效度表明,BLR 子量表与相关的、已建立的结构之间存在中等至较高的皮尔逊相关性,这些相关性在退伍军人事务部和社区样本中是一致的。BLR 量表评估了不可预测性疼痛中的适应性调节策略,是评估调节资源和疼痛不可预测性的潜在工具。