文献类型：期刊文献

英文题名：Long-term exposure to ambient PM2.5 and its components associated with hyperuricemia: Evidence from a rural cohort study

作者：Zhang, Jian[1];Zhang, Huanxiang[1];Qiu, Jia[1];Tang, Xiuli[1];Wang, Yali[1];Hou, Jian[1];Liu, Xiaotian[1];Zheng, Zhaohui[2];Wang, Fengling[3];Wang, Chongjian[1]

第一作者：Zhang, Jian

通信作者：Wang, CJ[1]

机构：[1]Zhengzhou Univ, Coll Publ Hlth, Dept Epidemiol & Biostat, 100 Kexue Ave, Zhengzhou 450001, Henan, Peoples R China;[2]Zhengzhou Univ, Affiliated Hosp 1, Dept Rheumatol, Zhengzhou, Henan, Peoples R China;[3]Gansu Univ Chinese Med, Coll Publ Hlth, Lanzhou, Gansu, Peoples R China

第一机构：Zhengzhou Univ, Coll Publ Hlth, Dept Epidemiol & Biostat, 100 Kexue Ave, Zhengzhou 450001, Henan, Peoples R China

通信机构：[1]corresponding author), Zhengzhou Univ, Coll Publ Hlth, Dept Epidemiol & Biostat, 100 Kexue Ave, Zhengzhou 450001, Henan, Peoples R China.

年份：2025

卷号：492

外文期刊名：JOURNAL OF HAZARDOUS MATERIALS

收录：;EI(收录号：20251518196012);Scopus(收录号：2-s2.0-105001974683);WOS:【SCI-EXPANDED(收录号:WOS:001469784600001)】；

基金：This research was supported by the Natural Science Foundation of Henan Province (Grant NO: 23230042151) . Ministry of Education Chunhui Program Collaborative Scientific Research Projects (Grant NO: HZKY20220286) , Henan Province Foreign Experts Introduction Pro-gram (NO: HNGD2022021) , Foundation of National Key Program of Research and Development of China (Grant NO: 2016YFC0900803) . The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

语种：英文

外文关键词：Hyperuricemia; Fine particulate matter; PM2.5 components; Nitrate; Cohort study

摘要：Background Current research lacks the association of PM2.5 and its components exposure with hyperuricemia (HUA). This study aimed to explore the association of PM2.5 and its components with HUA and to identify harmful components as well as susceptible populations. Methods A total of 22,765 participants were derived from the Henan rural cohort. PM2.5 and its components data were obtained from the Tracking Air Pollution (TAP) dataset in China. Generalized linear models (GLM) were utilized to evaluate the association between PM2.5 and its components with HUA. Restricted cubic splines were employed to explore the dose-response relationship. Additionally, the weighted quantile sum (WQS) method was used to assess the joint effect of PM2.5 components and their relative contribution to HUA. Results After adjusting for confounders, the odds ratios (OR) and 95 % confidence interval (CI) for per standard deviation (SD) increase in PM2.5, black carbon (BC), nitrate (NO3-), sulfate (SO42-), ammonium (NH4+), and organic matter (OM) were 1.81 (1.43, 2.30), 1.69 (1.38, 2.07), 1.70 (1.39, 2.08), 1.73 (1.40, 2.14), 1.67 (1.38, 2.04), and 1.58 (1.30, 1.92), respectively. Joint exposure to the five major chemical components also showed a positive association with the risk of HUA [1.09 (1.04, 1.15)], with NO3- contributing most significantly to the combined effect of the pollutant mixture. Additionally, exposure to PM2.5 and its components showed a nonlinear dose-response relationship with HUA (P nonlinear < 0.05). Stratified analysis indicated that men may be more susceptible to the effects of environmental PM2.5 and BC. Conclusion PM2.5 and its components increased the risk of HUA, with NO3- being the primary contributor, and men were more susceptible to the effects of PM2.5 and BC. The findings suggests that reducing PM2.5 levels could bring significant public health benefits.