Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China.
Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China.
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中国赣州市颗粒物污染浓度与高血压住院人数的关系
DOI：
10.1155/2022/7413115
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发表时间：
2022
影响因子：
1.9
通讯作者：
Gao Y
中科院分区：
文献类型：
--
作者：
Li C;Zhou X;Huang K;Zhang X;Gao Y
细颗粒物（PM2.5）和可吸入颗粒物（PM10）是两种主要的空气污染物，对心血管系统具有毒性作用。高血压作为一种慢性非传染性心血管疾病，也是几种疾病的危险因素。我们应用广义线性模型与准泊松链接，以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，我们建立了一个双污染物模型，通过调整其他气态污染物来评估PM2. 5和PM10的危害效应稳定性。结果显示，在研究期间，环境PM2.5和PM10的24小时平均浓度分别为38.17和59.84 μg/m3，共记录了2，611例高血压住院病例。空气污染浓度显着影响高血压住院治疗的数量约2个月后曝光。在单一污染物模型中，PM2.5和PM10每增加10 μg/m3，在效应最强的滞后日，因高血压住院的人数分别增加7.92%（95%CI：5.48%~ 10.42%）和4.46%（95%CI：2.86%~ 5.65%）。NO2、O3、CO和SO2对同一时间段的住院人数有不同的显著影响，PM2. 5和PM10在通过双污染物模型调整气体污染物后仍表现出稳健的显著影响。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。
Fine particulate matter (PM2.5) 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 PM2.5 and PM10 hazard effect stability by adjusting the other gaseous pollutants. Results showed that during the study period, 24 h mean concentrations of ambient PM2.5 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 PM2.5 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 PM2.5 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.
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影响因子：
11.4
作者：
Brauer, Michael;Amann, Markus;Burnett, Rick T.;Cohen, Aaron;Dentener, Frank;Ezzati, Majid;Henderson, Sarah B.;Krzyzanowski, Michal;Martin, Randall V.;Van Dingenen, Rita;van Donkelaar, Aaron;Thurston, George D.
通讯作者：
Thurston, George D.
影响因子：
8.3
作者：
Kim, Honghyok;Lee, Jong-Tae
通讯作者：
Lee, Jong-Tae
影响因子：
10.4
作者：
Wong CM;Vichit-Vadakan N;Kan H;Qian Z
通讯作者：
Qian Z
中国重庆市短期暴露于空气污染与紧急脑卒中的发生
DOI：
10.1007/s00420-020-01557-y
发表时间：
2020-06-19
影响因子：
3
作者：
Tang, Caizhi;Chen, Yu;Luo, Yongjun
通讯作者：
Luo, Yongjun
DOI：
10.1007/s11356-021-13650-x
发表时间：
2021-08
期刊：
Environmental science and pollution research international
影响因子：
--
作者：
Leão MLP;Penteado JO;Ulguim SM;Gabriel RR;Dos Santos M;Brum AN;Zhang L;da Silva Júnior FMR
通讯作者：
da Silva Júnior FMR