Systemic Inflammation as a Moderator of Air Pollution-Associated Self-Reported Health in Middle-aged and Older Chinese Adults: Evidence from a Nationwide Study.

Boye Fang, Danyu Li, Zhongwang Wei
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Abstract

Prolonged exposure to air pollution and systemic inflammation has both been associated with deteriorating self-reported health (SRH), however, the underlying mechanisms remained poorly understood. This study included 8,292 middle-aged and older adults (≥45 years) from the China Health and Retirement Longitudinal Study (CHARLS). High spatial-temporal gridded air pollution datasets were utilized to estimate individual air pollution exposure at county level. Systemic inflammation was measured using C-reactive protein (CRP) and white blood cell (WBC) numbers from CHARLS blood samples. Generalized linear modeling (GLM) was employed to examine the relationships between air pollution exposure, systemic inflammation, and SRH. After adjusting for confounders, this study found that a 3-year average PM2.5 concentration was associated with a higher risk of poor SRH (OR = 1.005, 95% CI: 1.002-1.009). Elevated CRP and WBC levels were also linked to an increased risk of poor SRH (OR = 1.019, 95% CI: 1.011-1.027; OR = 1.035, 95% CI: 1.010-1.061, respectively). Interaction analysis revealed that elevated CRP levels exacerbated the adverse effect of chronic air pollution exposure on SRH. In addition, residential location and educational attainment influenced how systemic inflammation moderated the relationship between PM2.5 exposure and SRH. Long-term exposure to air pollution was associated with an increased likelihood of poor self-reported health among middle-aged and older adults, with inflammatory markers potentially amplifying this association. Therefore, it is essential to implement multidisciplinary strategies to reduce air pollution and alleviate systemic inflammation in this population.

全身性炎症作为空气污染相关中国中老年人自我报告健康的调节因素:来自一项全国性研究的证据
长期暴露于空气污染和全身性炎症都与自我报告健康(SRH)恶化有关,然而,其潜在机制尚不清楚。本研究纳入来自中国健康与退休纵向研究(CHARLS)的8292名中老年人(≥45岁)。利用高时空网格化空气污染数据集估算县级个体空气污染暴露。使用CHARLS血液样本的c反应蛋白(CRP)和白细胞(WBC)数量来测量全身炎症。采用广义线性模型(GLM)来研究空气污染暴露、全身炎症和SRH之间的关系。在调整混杂因素后,该研究发现,3年平均PM2.5浓度与较高的SRH不良风险相关(OR = 1.005, 95% CI: 1.002-1.009)。CRP和WBC水平升高也与SRH不良风险增加有关(OR = 1.019, 95% CI: 1.011-1.027;OR = 1.035, 95% CI分别为1.010-1.061)。相互作用分析显示,CRP水平升高加剧了慢性空气污染暴露对SRH的不利影响。此外,居住地点和受教育程度影响了全身炎症如何调节PM2.5暴露与SRH之间的关系。长期暴露于空气污染与中老年人自我报告健康状况不佳的可能性增加有关,而炎症标志物可能会放大这种关联。因此,在这一人群中实施多学科策略来减少空气污染和缓解全身性炎症是至关重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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