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Dispositional traits help explain individual differences in relationships between a radiographic knee osteoarthritis measure, pain, and physical function
Therapeutic Advances in Musculoskeletal Disease ( IF 3.4 ) Pub Date : 2024-03-21 , DOI: 10.1177/1759720x241235805
Angela M Mickle 1, 2 , Roland Staud 3 , Cynthia S Garvan 4 , Daniel A Kusko 5 , Nicola Sambuco 6 , Brittany R Addison 7 , Kevin R Vincent 7 , David T Redden 8 , Burel R Goodin 5, 9 , Roger B Fillingim 2, 10 , Kimberly T Sibille 4, 7, 10
Affiliation  

Background:The concordance between radiograph-derived Kellgren–Lawrence (KL) scores for knee osteoarthritis (KOA) and experimental and clinical pain and KOA-related physical function is conflicting.Objectives:We investigate whether the inclusion of dispositional traits reduces variability between KOA radiographic findings, experimental pain, clinical pain, and function in individuals with knee pain.Design:This study is a cross-sectional, secondary analysis of data collected from the UPLOAD-II study.Methods:Adults aged 45–85 years with and without knee pain were enrolled. Data collected included sociodemographics, knee radiographs, experimental pain, clinical pain and function, and trait affect. Vulnerable and protective dispositional traits were classified from combined positive and negative trait affect measures. KL scores were determined from the knee radiographs. Unadjusted and adjusted (age, sex, comorbidities, and body mass index) regression analyses were completed with SAS version 9.4 (Cary, NC, USA).Results:The study included 218 individuals with a mean age of 58 years, 63.6% women, and 48.2% non-Hispanic black adults. Dispositional traits were associated with the experimental pain measures. No association between radiographic KOA and experimental pain was observed. In a combined and adjusted analysis, dispositional traits were predictive of knee punctate pain temporal summation ( p = 0.0382). Both dispositional traits and radiographic KOA scores independently and combined were predictive of Graded Chronic Pain Scale pain and function, and Western Ontario and McMaster University pain and function ( ps ⩽ 0.01). Improvements in R2 were noted across all models with the inclusion of dispositional traits.Conclusion:Consideration of dispositional traits reduces the variability between radiographic KOA and pain and function. Non-pathological and associated pain-related psychological factors and dispositional traits might serve as parsimonious proxy tools to improve clinical assessments.Registration:N/A.

中文翻译:


性格特征有助于解释放射学膝骨关节炎测量、疼痛和身体功能之间关系的个体差异



背景:膝骨关节炎 (KOA) 的 X 光片衍生的 Kellgren-Lawrence (KL) 评分与实验和临床疼痛以及 KOA 相关的身体功能之间的一致性是相互矛盾的。目的:我们研究纳入性格特征是否会减少 KOA X 光片之间的变异性膝关节疼痛患者的发现、实验疼痛、临床疼痛和功能。设计:本研究是对 UPLOAD-II 研究收集的数据进行横断面二次分析。方法:45-85 岁有膝关节和无膝关节的成年人疼痛被登记。收集的数据包括社会人口统计学、膝关节X光片、实验性疼痛、临床疼痛和功能以及特质影响。根据积极和消极特质影响措施的组合,对脆弱性和保护性性格特征进行分类。 KL 评分是根据膝关节 X 线照片确定的。使用 SAS 9.4 版(美国北卡罗来纳州卡里)完成未调整和调整(年龄、性别、合并症和体重指数)回归分析。 结果:该研究包括 218 名个体,平均年龄为 58 岁,其中 63.6% 为女性, 48.2% 为非西班牙裔黑人成年人。性格特征与实验性疼痛测量相关。未观察到放射照相 KOA 与实验性疼痛之间的关联。在综合和调整分析中,性格特征可以预测膝关节点状疼痛时间总和(p = 0.0382)。性格特征和放射学 KOA 评分单独和组合均可预测慢性疼痛分级疼痛和功能,以及西安大略和麦克马斯特大学的疼痛和功能 ( ps ≤ 0.01)。 R 的改进2所有模型都注意到了这些特征,包括性格特征。结论:考虑性格特征可以减少放射学 KOA 与疼痛和功能之间的变异性。非病理性和相关的疼痛相关心理因素和性格特征可以作为改善临床评估的简约代理工具。注册:N/A。
更新日期:2024-03-21
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