Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
Environ Res. 2023 Oct 15;235:116631. doi: 10.1016/j.envres.2023.116631. Epub 2023 Jul 11.
It is widely recognized that ambient air pollution can induce various detrimental health outcomes. However, evidence linking ambient air pollutants and hyperuricemia incidence is scarce.
To assess the association between long-term air pollution exposure and the risk of hyperuricemia.
In this study, a total of 5854 government employees without hyperuricemia were recruited and followed up from January 2018 to June 2021 in Hunan Province, China. Hyperuricemia was defined as serum uric acid (SUA) level of >420 μmol/L for men and >360 μmol/L for women or use of SUA-lowering medication or diagnosed as hyperuricemia during follow-up. Data from local air quality monitoring stations were used to calculate individual exposure levels of PM, PM, SO and NO by inverse distance weightingn (IDW) method. Cox proportional hazard model was applied to evaluate the causal relationships between air pollutant exposures and the risk of hyperuricemia occurrence after adjustment for potential confounders and meanwhile, restricted cubic spline was used to explore the dose-response relationships.
The results indicated that exposures to PM (hazard ratio, HR = 1.042, 95% conficence interal, 95% CI: 1.028, 1.057), PM (HR = 1.204, 95% CI: 1.141, 1.271) and NO (HR = 1.178, 95% CI: 1.125,1.233) were associated with an increased HR of hyperuricemia. In addition, a nonlinear dose-response relationship was found between PM exposure level and the HR of hyperuricemia (p for nonlinearity = 0.158) with a potential threshold of 50.11 μg/m. Subgroup analysis demonstrated that participants usually waking up at night and using natural ventilation were more vulnerable to the exposures of PM, PM, NO, and SO.
Long-term exposures to ambient PM, PM and NO are associated with an increased incidence of hyperuricemia among Chinese government employees.
人们普遍认识到，环境空气污染会导致各种不良健康后果。然而，将环境空气污染物与高尿酸血症发病率联系起来的证据很少。
评估长期空气污染暴露与高尿酸血症风险之间的关联。
本研究共招募了 5854 名无高尿酸血症的湖南省政府工作人员，并于 2018 年 1 月至 2021 年 6 月进行随访。高尿酸血症定义为血清尿酸（SUA）水平男性>420 μmol/L，女性>360 μmol/L，或在随访期间使用 SUA 降低药物或诊断为高尿酸血症。使用反距离权重法（IDW）计算个体 PM、PM、SO 和 NO 暴露水平的当地空气质量监测站数据。应用 Cox 比例风险模型在调整潜在混杂因素后评估空气污染物暴露与高尿酸血症发生风险之间的因果关系，同时应用限制性立方样条探索剂量-反应关系。
结果表明，暴露于 PM（危险比，HR=1.042，95%置信区间，95%CI：1.028，1.057）、PM（HR=1.204，95%CI：1.141，1.271）和 NO（HR=1.178，95%CI：1.125，1.233）与高尿酸血症的 HR 升高相关。此外，还发现 PM 暴露水平与高尿酸血症的 HR 之间存在非线性剂量-反应关系（p 非线性=0.158），潜在阈值为 50.11μg/m。亚组分析表明，通常夜间醒来和使用自然通风的参与者更容易受到 PM、PM、NO 和 SO 的暴露。
长期暴露于环境 PM、PM 和 NO 与中国政府工作人员高尿酸血症的发病率增加有关。
