Nottingham Ningbo GRADE Centre, School of Economics, Faculty of Humanities and Social Sciences, University of Nottingham, Ningbo, China.
Fenghua District Center for Disease Control and Prevention, Ningbo, China.
BMC Public Health. 2024 Jun 10;24(1):1555. doi: 10.1186/s12889-024-19030-7.
Acute upper respiratory tract infections (AURTIs) are prevalent in the general population. However, studies on the association of short-term exposure to air pollution with the risk of hospital visits for AURTIs in adults are limited. This study aimed to explore the short-term exposure to air pollutants among Chinese adults living in Ningbo.
Quasi-Poisson time serious regressions with distributed lag non-linear models (DLNM) were applied to explore the association between ambient air pollution and AURTIs cases. Patients ≥ 18 years who visit three hospitals, being representative for urban, urban-rural junction and rural were included in this retrospective study.
In total, 104,441 cases with AURTIs were enrolled in hospital during 2015-2019. The main results showed that particulate matter with an aerodynamic diameter less than 2.5 μm (PM), nitrogen dioxide (NO) and nitrogen dioxide (SO), were positively associated to hospital visits for AURTIs, except for nitrogen dioxide (O), which was not statistically significant. The largest single-lag effect for PM at lag 8 days (RR = 1.02, 95%CI: 1.08-1.40), for NO at lag 13 days (RR = 1.03, 95%CI: 1.00-1.06) and for SO at lag 5 days (RR = 1.27, 95%CI: 1.08-1.48), respectively. In the stratified analysis, females, and young adults (18-60 years) were more vulnerable to PM and SO and the effect was greater in rural areas and urban-rural junction.
Exposure to ambient air pollution was significantly associated with hospital visits for AURTIs. This study provides epidemiological evidence for policymakers to control better air quality and establish an enhanced system of air pollution alerts.
急性上呼吸道感染(AURTI)在普通人群中很常见。然而,关于短期暴露于空气污染与成年人 AURTI 住院风险之间关联的研究有限。本研究旨在探讨中国宁波成年人短期暴露于空气污染物的情况。
应用广义相加泊松回归模型和分布式滞后非线性模型(DLNM)探讨大气污染与 AURTI 病例之间的关系。本回顾性研究纳入了 2015 年至 2019 年期间在三家医院就诊的年龄≥18 岁的患者,这些医院代表了城市、城乡结合部和农村地区。
共纳入 104441 例 AURTI 住院患者。主要结果表明,细颗粒物(PM2.5)、二氧化氮(NO2)和二氧化硫(SO2)与 AURTI 住院就诊呈正相关,除二氧化氮(NO)外,其他污染物均无统计学意义。PM2.5 在滞后 8 天(RR=1.02,95%CI:1.08-1.40)、NO2 在滞后 13 天(RR=1.03,95%CI:1.00-1.06)和 SO2 在滞后 5 天(RR=1.27,95%CI:1.08-1.48)的最大单一滞后效应最大。在分层分析中,女性和青年(18-60 岁)对 PM 和 SO 更敏感,农村和城乡结合部的影响更大。
暴露于环境空气污染与 AURTI 住院就诊显著相关。本研究为决策者提供了流行病学证据,以更好地控制空气质量并建立强化空气污染预警系统。