Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China

被引:2
作者
Li, Chenwei [1 ]
Zhou, Xinye [1 ]
Huang, Kun [1 ]
Zhang, Xiaokang [1 ]
Gao, Yanfang [1 ]
机构
[1] Gannan Med Univ, Sch Publ Hlth & Hlth Management, Gannan 34100, Jiangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
LONG-TERM EXPOSURE; AIR-POLLUTION; CARDIOVASCULAR-DISEASE; BLOOD-PRESSURE; POLLUTANTS; MORTALITY; ENVIRONMENT; IMPACT; RISK;
D O I
10.1155/2022/7413115
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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 mu g/m(3), 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 mu g/m(3) 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, O-3, 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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页数:11
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