Three subgroups of pain profiles identified in 227 women with arthritis: a latent class analysis

Three subgroups of pain profiles identified in 227 women with arthritis: a latent class analysis
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DOI:
10.1007/s10067-016-3343-5
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发表时间:
2017-03-01
影响因子:
3.4
通讯作者:
Byles, Julie
Byles, Julie
中科院分区:
医学3区
文献类型:
--
作者:
de Luca, Katie;Parkinson, Lynne;Byles, Julie

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目的是根据疼痛经历的多维性确定关节炎妇女的亚组,并比较各亚组之间的健康和社会人口变量。对227名自我报告患有关节炎的女性进行潜在分类分析,根据疼痛经历的感觉、情感和认知维度来确定女性的集群。多变量多项逻辑回归分析用于确定集群成员与健康和社会人口特征之间的关系。三类聚类模型最为简洁。39.5%的女性有单维疼痛症状;38.6%的女性有中度多维疼痛,包括额外的疼痛症状,如感觉质量和疼痛灾难性;21.9%的女性有严重的多维疼痛特征,包括突出的疼痛症状,如疼痛的感觉和情感质量,疼痛灾难性和神经性疼痛。与单维疼痛的女性相比,患有严重多维疼痛的女性生活质量下降的风险高出30.5%,患抑郁症的风险高出7.3%,患有中度多维疼痛的女性生活质量下降的风险高出6.4%。这项研究确定了老年关节炎妇女疼痛概况的三个不同亚组。妇女有非常不同的疼痛经历,集群成员显著影响与健康相关的生活质量。这些初步发现提供了对疼痛的更深入的了解,并可能有助于关节炎治疗方案的发展。
The objectives were to identify subgroups of women with arthritis based upon the multi-dimensional nature of their pain experience and to compare health and socio-demographic variables between subgroups. A latent class analysis of 227 women with self-reported arthritis was used to identify clusters of women based upon the sensory, affective, and cognitive dimensions of the pain experience. Multivariate multinomial logistic regression analysis was used to determine the relationship between cluster membership and health and sociodemographic characteristics. A three-class cluster model was most parsimonious. 39.5 % of women had a unidimensional pain profile; 38.6 % of women had moderate multidimensional pain profile that included additional pain symptomatology such as sensory qualities and pain catastrophizing; and 21.9 % of women had severe multidimensional pain profile that included prominent pain symptomatology such as sensory and affective qualities of pain, pain catastrophizing, and neuropathic pain. Women with severe multidimensional pain profile have a 30.5 % higher risk of poorer quality of life and a 7.3 % higher risk of suffering depression, and women with moderate multidimensional pain profile have a 6.4 % higher risk of poorer quality of life when compared to women with unidimensional pain. This study identified three distinct subgroups of pain profiles in older women with arthritis. Women had very different experiences of pain, and cluster membership impacted significantly on health-related quality of life. These preliminary findings provide a stronger understanding of profiles of pain and may contribute to the development of tailored treatment options in arthritis.