Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Environ Sci Pollut Res Int. 2023 Nov;30(53):114406-114419. doi: 10.1007/s11356-023-30419-6. Epub 2023 Oct 20.
Recently, polycyclic aromatic hydrocarbons (PAHs) were found to be linked to various diseases. The current study's objective was to explore whether or not there was a relation between PAH exposure and poor sleep pattern. We evaluated nine urine PAH metabolites as exposures in our cross-sectional research based on the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2010. Logistic regression, restricted cubic spline regression (RCS) model, weighted quantile sum (WQS) regression, subgroup analysis, and mediation analysis were used to assess the associations between PAH metabolism and poor sleep pattern risk. After controlling for all confounding variables, several primary PAH metabolites, namely 1-hydroxynapthalene (1-NAP, OR 1.32, 95% CI 1.04-1.68), 2-hydroxyfluorene (2-FLU, OR 1.34, 95% CI 1.05-1.71), 1-hydroxyphenanthrene (1-PHE, OR 1.30, 95% CI 1.03-1.64), 9-hydroxyfluorene (9-FLU, OR 1.38, 95% CI 1.09-1.74), and ∑PAHs (OR 1.33, 95% CI 1.05-1.69), compared to the bottom tertile, were associated with increased risk of poor sleep pattern. The WQS regression analysis showed that 9-FLU and 1-NAP comprised the two most important factors related to poor sleep pattern. Mediation analysis revealed that inflammation acted as a mediator between PAHs and the prevalence of poor sleep pattern. In conclusion, exposure to PAHs may be associated with poor sleep pattern. Inflammation is a mediator of the effects of PAH exposure on poor sleep pattern.
最近，多环芳烃（PAHs）被发现与各种疾病有关。本研究的目的是探讨 PAH 暴露与不良睡眠模式之间是否存在关联。我们基于 2005 年至 2010 年的国家健康和营养调查（NHANES），在横断面研究中评估了 9 种尿液 PAH 代谢物作为暴露。使用逻辑回归、受限立方样条回归（RCS）模型、加权分位数总和（WQS）回归、亚组分析和中介分析来评估 PAH 代谢物与不良睡眠模式风险之间的关联。在控制了所有混杂因素后，几种主要的 PAH 代谢物，即 1-羟基萘（1-NAP，OR 1.32，95%CI 1.04-1.68）、2-羟基芴（2-FLU，OR 1.34，95%CI 1.05-1.71）、1-羟基菲（1-PHE，OR 1.30，95%CI 1.03-1.64）、9-羟基芴（9-FLU，OR 1.38，95%CI 1.09-1.74）和∑PAHs（OR 1.33，95%CI 1.05-1.69），与最低三分位相比，与不良睡眠模式的风险增加相关。WQS 回归分析表明，9-FLU 和 1-NAP 是与不良睡眠模式最相关的两个最重要因素。中介分析表明，炎症是 PAHs 暴露与不良睡眠模式之间的中介因素。总之，PAHs 暴露可能与不良睡眠模式有关。炎症是 PAH 暴露对不良睡眠模式影响的中介因素。
