Melton Brittany L, Moqbel Murad, Kanaan Saddam, Sharma Neena K
Department of Pharmacy Practice, University of Kansas, Kansas City, KS.
Department of Health Information Management and Center for Health Informatics, University of Kansas Medical Center, Kansas City, KS.
Spine (Phila Pa 1976). 2016 Oct 15;41(20):1621-1627. doi: 10.1097/BRS.0000000000001563.
The effects of participant characteristics along with descriptions of pain and psychological involvement, such as fear avoidance, were assessed using structural equation modeling (SEM) to identify relationships between these factors and disability as a result of low back pain (LBP).
The aim of this study was to evaluate the relationship between factors related to pain description, participants' characteristics, psychological involvement, and disability through SEM.
LBP is a complex multifactorial condition that can lead to disability. Understanding which factors contribute to disability and how those factors interact is important for predicting and minimizing disability in patients with LBP.
We analyzed data from 156 participants (63% female) with LBP. A stepwise SEM was built with patient characteristics, pain intensity, depression, anxiety, and fear avoidance to predict disability in LBP.
Participants were 23-84 years (49.7 ± 15.1 yrs) of age and experienced 0.03 to 300 months duration (25.5 ± 36.4 months) of current LBP. The final model explained 62% of the variance in disability and included female gender, full-time employment, depression, and fear avoidance beliefs as significant predictors. Full-time employment was the only significant predictor that reduced disability; all other significant predictors increased disability in the model.
Understanding the relationship between these predictors and disability provides a foundation for predicting and managing disability for individual patients who suffer from LBP.
采用结构方程模型（SEM）评估参与者特征以及疼痛描述和心理因素（如恐惧回避），以确定这些因素与腰痛（LBP）导致的残疾之间的关系。
本研究旨在通过SEM评估与疼痛描述、参与者特征、心理因素和残疾相关的因素之间的关系。
LBP是一种复杂的多因素疾病，可导致残疾。了解哪些因素导致残疾以及这些因素如何相互作用，对于预测和最小化LBP患者的残疾至关重要。
我们分析了156名LBP参与者（63%为女性）的数据。构建了一个逐步SEM，纳入患者特征、疼痛强度、抑郁、焦虑和恐惧回避，以预测LBP患者的残疾情况。
参与者年龄在23 - 84岁（49.7±15.1岁），当前LBP病程为0.03至300个月（25.5±36.4个月）。最终模型解释了残疾变异的62%，并将女性性别、全职工作、抑郁和恐惧回避信念作为显著预测因素。全职工作是唯一能降低残疾的显著预测因素；模型中的所有其他显著预测因素都会增加残疾。
了解这些预测因素与残疾之间的关系为预测和管理LBP个体患者的残疾提供了基础。
3级。
