Fine particulate matter (PM_2.5) and respirable particulate matter (PM₁₀) are two major air pollutants with toxic effects on the cardiovascular system. Hypertension, as a chronic noncommunicable cardiovascular disease, is also a risk factor for several diseases. We applied generalized linear models with a quasi-Poisson link to assess the effect of air pollution exposure on the number of daily admissions for patients with hypertension. In addition, we established a two-pollutant model to evaluate PM_2.5 and PM₁₀ hazard effect stability by adjusting the other gaseous pollutants. Results showed that during the study period, 24 h mean concentrations of ambient PM_2.5 and PM₁₀ at 38.17 and 59.84 μg/m³, respectively, and a total of 2,611 hypertension hospital admissions were recorded. Air pollution concentrations significantly affected the number of hospitalizations for hypertension approximately 2 months after exposure. For each 10 μg/m³ increase in PM_2.5 and PM₁₀ in single-pollutant models, the number of hospitalizations for hypertension increased by 7.92% (95% CI: 5.48% to 10.42%) and 4.46% (95% CI: 2.86% to 5.65%), respectively, at the lag day with the strongest effect. NO₂, O₃, CO, and SO₂ had different significant effects on the number of hospitalizations over the same time period, and PM_2.5 and PM₁₀ still showed robust significant effects after adjustment of gas pollutants through a two-pollutant model. These findings may contribute to a better understanding of the health effects of ambient particulate matter.

中文翻译：

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赣州市颗粒物污染浓度与高血压住院患者的关系

细颗粒物 (PM _2.5 ) 和可吸入颗粒物 (PM ₁₀ ) 是对心血管系统具有毒性作用的两种主要空气污染物。高血压作为一种慢性非传染性心血管疾病，也是多种疾病的危险因素。我们应用具有准泊松链接的广义线性模型来评估空气污染暴露对高血压患者每日入院人数的影响。此外，我们建立了双污染物模型，通过调整其他气态污染物来评估 PM _2.5和 PM _{10危害效应的稳定性。}结果表明，在研究期间，环境 PM _2.5和 PM _{10的 24 小时平均浓度}分别为 38.17 和 59.84  μ g/m ³，共记录了 2,611 例高血压住院患者。空气污染浓度显着影响暴露后约 2 个月的高血压住院人数。单污染物模型中 PM _2.5和 PM ₁₀每增加 10  μg /m ³，高血压住院人数分别增加 7.92%（95% CI：5.48% 至 10.42%）和 4.46%（95% CI： 2.86% 到 5.65%），分别在影响最强的滞后日。NO ₂、O ₃、CO 和 SO ₂PM 2.5 和PM 10在同一时期对住院人数有不同的显着影响，通过双污染物模型调整气体污染物后，PM _2.5和PM _{10仍然表现出稳健的显着影响。}这些发现可能有助于更好地了解环境颗粒物对健康的影响。