He Yi-Sheng, Xu Yi-Qing, Cao Fan, Gao Zhao-Xing, Ge Man, He Tian, Zhang Peng, Zhao Chan-Na, Wang Peng, Xu Zhiwei, Pan Hai-Feng
Department of Epidemiology and Biostatistics School of Public Health Anhui Medical University Hefei China.
Inflammation and Immune Mediated Diseases Laboratory of Anhui Province Hefei China.
Geohealth. 2024 Nov 6;8(11):e2024GH001132. doi: 10.1029/2024GH001132. eCollection 2024 Nov.
There is limited evidence regarding the effects of long-term exposure to PM constituents on the risk of arthritis and rheumatoid arthritis, and the interaction between PM and green space remains unclear. This study examined the relationship between long-term exposure to PM constituents and the risk of arthritis and rheumatoid arthritis, with the exposure period extending from recruitment until self-reported outcomes, death, loss to follow-up, or end of follow-up. Additionally, the study assessed whether there was an interactive effect between PM and green space on these risks. We gathered cohort data on 18,649 individuals aged ≥45 years. We applied generalized linear mixed-effects models to estimate the effects of PM constituents, NDVI, and their interaction on arthritis and rheumatoid arthritis. The quantile g-computation and weighted quantile sum regression model were applied to estimate the combined effect of PM constituents. Our results showed that exposure to single and mixed PM constituents adversely affected arthritis and rheumatoid arthritis, and was mainly attributed to the black carbon component. We observed "U" or "J" shaped exposure-response curves for the effects of PM, OM, NO and NH exposure on the development of arthritis/rheumatoid arthritis. Additionally, the odds ratio of arthritis for per interquartile range (IQR) increase in PM was 1.209 (95% CI:1.198, 1.221), per 0.1-unit decrease in NDVI was 1.091 (95% CI:1.033, 1.151), and the interaction term was 1.005 (95% CI:1.002, 1.007). These findings flesh out the existing evidence for PM constituents, NDVI and arthritis, rheumatoid arthritis, but the underlying mechanisms still require further exploration.
关于长期暴露于细颗粒物成分对关节炎和类风湿性关节炎风险的影响，证据有限，且细颗粒物与绿地之间的相互作用仍不明确。本研究调查了长期暴露于细颗粒物成分与关节炎和类风湿性关节炎风险之间的关系，暴露期从招募开始直至自我报告结局、死亡、失访或随访结束。此外，该研究评估了细颗粒物与绿地在这些风险上是否存在交互作用。我们收集了18649名年龄≥45岁个体的队列数据。我们应用广义线性混合效应模型来估计细颗粒物成分、归一化植被指数（NDVI）及其交互作用对关节炎和类风湿性关节炎的影响。应用分位数g计算和加权分位数和回归模型来估计细颗粒物成分的综合效应。我们的结果表明，暴露于单一和混合的细颗粒物成分会对关节炎和类风湿性关节炎产生不利影响，且主要归因于黑碳成分。我们观察到细颗粒物、有机物质、氮氧化物和氨暴露对关节炎/类风湿性关节炎发展的影响呈现“U”形或“J”形暴露-反应曲线。此外，细颗粒物每增加一个四分位数间距（IQR），关节炎的比值比为1.209（95%置信区间：1.198, 1.221），归一化植被指数每降低0.1个单位，比值比为1.091（95%置信区间：1.033, 1.151），交互项为1.005（95%置信区间：1.002, 1.007）。这些发现充实了关于细颗粒物成分、归一化植被指数与关节炎、类风湿性关节炎的现有证据，但潜在机制仍需进一步探索。
