混淆
倾向得分匹配
医学
危险系数
慢性疼痛
置信区间
比例危险模型
内科学
人口学
边际结构模型
物理疗法
社会学
作者
Eva Ryan,Hanna Grol-Prokopczyk,Christopher R. Dennison,Anna Zajacova,Zachary Zimmer
出处
期刊:Pain
[Ovid Technologies (Wolters Kluwer)]
日期:2024-07-09
标识
DOI:10.1097/j.pain.0000000000003336
摘要
Abstract Chronic pain is a serious and prevalent condition that can affect many facets of life. However, uncertainty remains regarding the strength of the association between chronic pain and death and whether the association is causal. We investigate the pain–mortality relationship using data from 19,971 participants aged 51+ years in the 1998 wave of the U.S. Health and Retirement Study. Propensity score matching and inverse probability weighting are combined with Cox proportional hazards models to investigate whether exposure to chronic pain (moderate or severe) has a causal effect on mortality over a 20-year follow-up period. Hazard ratios (HRs) with 95% confidence intervals (CIs) are reported. Before adjusting for confounding, we find a strong association between chronic pain and mortality (HR: 1.32, 95% CI: 1.26-1.38). After adjusting for confounding by sociodemographic and health variables using a range of propensity score methods, the estimated increase in mortality hazard caused by pain is more modest (5%-9%) and the results are often also compatible with no causal effect (95% CIs for HRs narrowly contain 1.0). This attenuation highlights the role of confounders of the pain–mortality relationship as potentially modifiable upstream risk factors for mortality. Posing the depressive symptoms variable as a mediator rather than a confounder of the pain–mortality relationship resulted in stronger evidence of a modest causal effect of pain on mortality (eg, HR: 1.08, 95% CI: 1.01-1.15). Future work is required to model exposure–confounder feedback loops and investigate the potentially cumulative causal effect of chronic pain at multiple time points on mortality.
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