Knee pain trajectories over 18 months in non-Hispanic Black and non-Hispanic White adults with or at risk for knee osteoarthritis.
Knee pain trajectories over 18 months in non-Hispanic Black and non-Hispanic White adults with or at risk for knee osteoarthritis.
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DOI：
10.1186/s12891-021-04284-8
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发表时间：
2021-05-05
影响因子：
2.3
通讯作者：
Sibille KT
中科院分区：
文献类型：
--
作者：
Johnson AJ;Vasilopoulos T;Booker SQ;Cardoso J;Terry EL;Powell-Roach K;Staud R;Kusko DA;Addison AS;Redden DT;Goodin BR;Fillingim RB;Sibille KT
疼痛是膝关节骨关节炎（OA）的标志性症状，个体差异很大。先前的研究已经证明了使用不同时间段的膝关节OA的波动和稳定疼痛轨迹。膝关节OA中每季度（即每3个月一次）评估的疼痛变化相对未知。本研究旨在基于季度特征性疼痛评估调查一年半（18个月）内疼痛的时间变化，并通过社会人口统计学和基线疼痛特征检查疼痛模式的差异。样本包括一个前瞻性队列，由188名参与者（平均年龄58岁; 63%为女性; 52%为非西班牙裔黑人）组成，他们患有膝关节OA或有膝关节OA风险，这些参与者来自正在进行的种族/种族组差异的多中心调查。在基线和18个月期间每季度自我报告膝关节疼痛强度。基线疼痛评估还包括频率、持续时间和疼痛部位总数。基于组的轨迹建模用于识别不同的疼痛轨迹。采用多项逻辑回归分析社会人口学特征、危险因素和疼痛轨迹组之间的关系。疼痛轨迹在膝关节疼痛的成年人样本中相对稳定。在整个样本中出现了四种不同的疼痛轨迹，其中最大比例的参与者（35.1%）被归类为中度疼痛组。年龄、教育、收入、种族/人种和轨迹组之间存在显著关系;年轻、受教育程度低、收入低和非西班牙裔黑人参与者在最高疼痛轨迹组中的代表性更大。根据季度评估，患有膝关节骨关节炎或有膝关节骨关节炎风险的成人在一年半的时间内疼痛保持稳定。某些社会人口统计学变量（例如种族/人种、教育、收入、年龄）可能导致经历更大疼痛的风险增加。
Pain is the hallmark symptom of knee osteoarthritis (OA), and varies widely across individuals. Previous research has demonstrated both fluctuating and stable pain trajectories in knee OA using various time periods. Changes in pain assessed quarterly (i.e. 3-month intervals) in knee OA are relatively unknown. The current study aimed to investigate temporal variations in pain over a one and a half year period (18 months) based on quarterly characteristic pain assessments, and to examine differences in pain patterns by sociodemographic and baseline pain characteristics. The sample included a prospective cohort of 188 participants (mean age 58 years; 63% female; 52% non-Hispanic Black) with or at risk for knee OA from an ongoing multisite investigation of ethnic/race group differences. Knee pain intensity was self-reported at baseline and quarterly over an18-month period. Baseline pain assessment also included frequency, duration, and total number of pain sites. Group-based trajectory modeling was used to identify distinct pain trajectories. Multinomial logistic regression was used to examine associations between sociodemographic characteristics, risk factors, and pain trajectory groups. Pain trajectories were relatively stable among a sample of adults with knee pain. Four distinct pain trajectories emerged in the overall sample, with the largest proportion of participants (35.1%) classified in the moderate-high pain group. There were significant relationships between age, education, income, ethnicity/race and trajectory group; with younger, less educated, lower income, and non-Hispanic Black participants had a greater representation in the highest pain trajectory group. Pain remained stable across a one and a half-year period in adults with or at risk for knee osteoarthritis, based on quarterly assessments. Certain sociodemographic variables (e.g. ethnicity/race, education, income, age) may contribute to an increased risk of experiencing greater pain.
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影响因子：
7
作者：
Collins, J. E.;Katz, J. N.;Losina, E.
通讯作者：
Losina, E.
影响因子：
--
作者：
FELSON, DT;ZHANG, YQ;LEVY, D
通讯作者：
LEVY, D
影响因子：
2.7
作者：
Alghadir AH;Anwer S;Iqbal A;Iqbal ZA
通讯作者：
Iqbal ZA
影响因子：
27.4
作者：
Felson, David;Niu, Jingbo;Nevitt, Michael C.
通讯作者：
Nevitt, Michael C.
DOI：
10.1002/art.22475
发表时间：
2007-02-15
期刊：
ARTHRITIS & RHEUMATISM-ARTHRITIS CARE & RESEARCH
影响因子：
--
作者：
Belo, J. N.;Berger, M. Y.;Bierma-Zeinstra, S. M. A.
通讯作者：
Bierma-Zeinstra, S. M. A.