Karimi Roya, Prego-Domínguez Jesús, Takkouche Bahi
Department of Preventive Medicine, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBER-ESP), 28029 Madrid, Spain.
J Clin Med. 2023 Jun 23;12(13):4228. doi: 10.3390/jcm12134228.
The relation between physical well-being and chronic pain is complex and involves several subjective and objective covariates. We aimed to assess the role of mediator, confounder, or interactor played by covariates, including sleep quality, physical activity, perceived stress, smoking, and alcohol drinking in the relation between physical well-being and chronic pain. We used Poisson regression to obtain incidence rate ratios (IRR) of the association between physical well-being and chronic pain in a cohort study carried out among university students. We applied General Structural Equation Modeling (GSEM) to assess mediation and stratum-specific analyses to distinguish confounding from interaction. We computed Relative Excess Risks due to Interaction (RERI), Attributable Proportion (AP), and the Synergy index (S) to measure additive interaction. High physical well-being is related to a large decrease in the risk of chronic pain (IRR = 0.58; 95% CI: 0.50-0.81). Perceived stress mediates 12.5% of the total effect of physical well-being on chronic pain. The stratum-specific IRRs of current smokers and non-current smokers were different from each other and were larger than the crude IRR (IRR = 1.49; 95% CI: 1.24-1.80), which indicates that smoking could be both confounder and interactor. Interaction analyses showed that physical activity could act as a potential interactor (RERI = 0.25; 95% CI: 0.13, 0.60). Perceived stress is an important mediator of the relation between physical well-being and chronic pain, while smoking is both a confounder and an interactor. Our findings may prove useful in distinguishing high-risk groups from low-risk groups, in the interventions aimed at reducing chronic pain.
身体健康与慢性疼痛之间的关系复杂,涉及多个主观和客观的协变量。我们旨在评估协变量(包括睡眠质量、身体活动、感知压力、吸烟和饮酒)在身体健康与慢性疼痛关系中所起的中介、混杂或交互作用。在一项针对大学生的队列研究中,我们使用泊松回归来获得身体健康与慢性疼痛之间关联的发病率比(IRR)。我们应用一般结构方程模型(GSEM)来评估中介作用,并进行分层分析以区分混杂因素和交互作用。我们计算了交互作用导致的相对超额风险(RERI)、归因比例(AP)和协同指数(S)来衡量相加交互作用。身体健康状况良好与慢性疼痛风险大幅降低相关(IRR = 0.58;95%可信区间:0.50 - 0.81)。感知压力介导了身体健康对慢性疼痛总效应的12.5%。当前吸烟者和非当前吸烟者的分层特异性IRR彼此不同,且大于粗IRR(IRR = 1.49;95%可信区间:1.24 - 1.80),这表明吸烟可能既是混杂因素又是交互因素。交互作用分析表明,身体活动可能是一个潜在的交互因素(RERI = 0.25;95%可信区间:0.13,0.60)。感知压力是身体健康与慢性疼痛关系的重要中介因素,而吸烟既是混杂因素又是交互因素。我们的研究结果可能有助于在旨在减轻慢性疼痛的干预措施中区分高风险组和低风险组。