Elucidating factors contributing to disparities in pain-related experiences among adults with or at risk for knee osteoarthritis.

Elucidating factors contributing to disparities in pain-related experiences among adults with or at risk for knee osteoarthritis.
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DOI:
10.3389/fpain.2023.1058476
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发表时间:
2023
期刊:
Frontiers in pain research (Lausanne, Switzerland)
影响因子:
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通讯作者:
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其他
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我们和其他人报告了临床疼痛、身体功能和实验疼痛敏感性方面的民族/种族差异。然而,最近的研究表明,考虑到社会环境因素,民族/种族差异变得较小或不显着。需要了解导致疼痛不平等的因素。在 NIA 和 NIMHD 健康差异研究框架的指导下,我们评估了环境和行为因素对先前报告的种族/种族群体差异的贡献:(1) 临床疼痛,(2) 身体功能,以及 (3) 膝关节疼痛个体的实验疼痛。对来自骨关节炎疾病疼痛和局限性的理解 (UPLOAD) 和 UPLOAD-2 研究的基线数据进行了分析。参与者是 45 至 85 岁的成年人,自称患有膝盖疼痛的非西班牙裔白人 (NHW) 或黑人 (NHB)。完成了健康评估和定量感官测试。社会人口统计学、环境、健康、临床和实验疼痛以及身体功能指标都包含在嵌套回归中。汇总数据来自 468 名个体,年龄为 57±8 岁,其中 63% 为女性,53% 为 NHB 成年人。由于 NHB 成年人比 NHW 成年人更年轻且报告的社会环境风险更大,因此使用“社会人口统计学群体”一词。通过纳入公认的环境和行为变量,社会人口统计学群体仍然是一个重要的预测因子,可解释临床疼痛和身体功能的方差<5%以及实验疼痛的方差<10%。环境和行为因素的结合减少了社会人口群体与疼痛相关结果之间的关系。疼痛部位、体重指数和收入是多个模型的重要预测因素。目前的研究增加了对导致疼痛相关结果差异的一系列复杂因素的研究。
We and others have reported ethnic/race group differences in clinical pain, physical function, and experimental pain sensitivity. However, recent research indicates that with consideration for socioenvironmental factors, ethnicity/race differences become less or non-significant. Understanding of factors contributing to pain inequities are needed. Guided by the NIA and NIMHD Health Disparities Research Frameworks, we evaluate the contributions of environmental and behavioral factors on previously reported ethnic/race group differences in: (1) clinical pain, (2) physical function, and (3) experimental pain in individuals with knee pain. Baseline data from Understanding of Pain and Limitations in Osteoarthritis Disease (UPLOAD) and UPLOAD-2 studies were analyzed. Participants were adults 45 to 85 years old who self-reported as non-Hispanic white (NHW) or black (NHB) with knee pain. A health assessment and quantitative sensory testing were completed. Sociodemographics, environmental, health, clinical and experimental pain, and physical functioning measures were included in nested regressions. Pooled data from 468 individuals, 57 ± 8 years of age, 63% women, and 53% NHB adults. As NHB adults were younger and reported greater socioenvironmental risk than the NHW adults, the term sociodemographic groups is used. With inclusion of recognized environmental and behavioral variables, sociodemographic groups remained a significant predictor accounting for <5% of the variance in clinical pain and physical function and <10% of variance in experimental pain. The incorporation of environmental and behavioral factors reduced relationships between sociodemographic groups and pain-related outcomes. Pain sites, BMI, and income were significant predictors across multiple models. The current study adds to a body of research on the complex array of factors contributing to disparities in pain-related outcomes.
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