Arthritis Research UK Primary Care Centre, Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, United Kingdom.
Division of Population Health Sciences, School of Medicine, University of Dundee, Dundee, United Kingdom.
Pain. 2018 Jan;159(1):41-47. doi: 10.1097/j.pain.0000000000001062.
Chronic pain is common and creates a significant burden to the individual and society. Emerging research has shown the influence of the family environment on pain outcomes. However, it is not clear what shared factors between family members associate with chronic pain. This study aimed to investigate the family-level contribution to an individual's chronic pain status. This was a cross-sectional study using the Generation Scotland: Scottish Family Health Study data set. This study focused on a nested cohort of dyads (only 2 relatives per family, n = 2714). Multi-level modelling was first performed to estimate the extent of variance in chronic pain at the family level. Then each member of the dyad was randomly assigned as either the exposure or outcome family member, and logistic regression was used to identify shared factors associated with the outcome of chronic pain status. Multi-level modelling showed just under 10% of variation in chronic pain status was at a family level. There was an increase in odds of chronic pain if exposure family member had chronic pain (odds ratio [OR]: 1.30, 95% confidence interval [CI]: 1.02-1.65), if both were women (OR: 1.39, 95% CI: 0.99-1.94), if both were older in age (OR: 1.80, 95% CI: 1.31-2.48), and if both had low household income (OR: 3.27, 95% CI: 1.72-6.21). These findings show that most explanation for chronic pain is still at the individual level. However, some significant shared effects between family members associate with chronic pain, and this highlights the influence of the family context.
慢性疼痛很常见,会给个人和社会带来巨大负担。新兴研究表明,家庭环境对疼痛结果有影响。然而,目前尚不清楚家庭成员之间的哪些共同因素与慢性疼痛有关。本研究旨在探讨家庭层面因素对个体慢性疼痛状况的贡献。这是一项使用苏格兰基因世代研究:苏格兰家庭健康研究数据集的横断面研究。本研究主要关注一个嵌套队列的对(每个家庭只有 2 个亲属,n=2714)。首先进行多层次建模,以估计家庭层面慢性疼痛的变异程度。然后,将对的每个成员随机指定为暴露或结果家庭成员,并使用逻辑回归来确定与慢性疼痛状况结果相关的共同因素。多层次建模显示,慢性疼痛状况的变异有近 10%存在于家庭层面。如果暴露家庭成员患有慢性疼痛(比值比 [OR]:1.30,95%置信区间 [CI]:1.02-1.65),如果双方都是女性(OR:1.39,95% CI:0.99-1.94),如果双方年龄都较大(OR:1.80,95% CI:1.31-2.48),并且双方家庭收入都较低(OR:3.27,95% CI:1.72-6.21),则患有慢性疼痛的可能性会增加。这些发现表明,大多数慢性疼痛的解释仍然在个体层面。然而,家庭成员之间存在一些显著的共同影响与慢性疼痛相关,这突出了家庭环境的影响。