Wang Jing, Wang Fei, Li Xinrui, Li Dan, Liu Yatian, Li Jiajun, Liu Zhuoya, Liu Jie, Tang Longmei
School of Public Health, Hebei Medical University, Shijiazhuang, Hebei, China.
Shijiazhuang Centre for Disease Prevention and Control, Shijiazhuang, Hebei, China.
Medicine (Baltimore). 2025 May 30;104(22):e42604. doi: 10.1097/MD.0000000000042604.
This study analyzed the correlation between intestinal diseases and air pollutants in Hebei Province and the influence of meteorological factors on the correlation. Cases with primary diagnosis of intestinal diseases were selected from the inpatient data of hospitals participating in medical insurance cost accounting for 5 consecutive years from January 1, 2018 to December 31, 2022 in 2 cities of Hebei Province. Pollution data from the real air network, include fine particulate matter (PM2.5), inhalable particle (PM10), SO2, NO2, CO, and O3_8h. Meteorological data from the National Meteorological Information Center, include temperature, humidity, and wind scale. Instrumental variable method and conditional Poisson distributed lag nonlinear model were used to analyze the association between air pollutant levels and the risk of hospitalization for intestinal diseases, and the effects of air pollutant and meteorological factors on intestinal diseases were analyzed by means of multiplication. A total of 77,258 patients hospitalized for intestinal diseases were included in the study. PM2.5, PM10, NO2, SO2, and CO were significantly associated with the risk of hospitalization for intestinal diseases. The effects of PM10, SO2, NO2, and CO on intestinal diseases were delayed. The association between the level of air pollutants and the risk of admission to hospital for intestinal diseases was different at different temperature and humidity. Stratified analyses found that young people and men were susceptible populations, there was an association between NO2 and the risk of hospitalization for noninfectious enteritis, and there was an association between PM2.5, PM10, NO2, and O3 and intestinal obstruction. There is a significant correlation between the level of air pollutants and intestinal diseases, and there is an interaction between meteorological factors and atmospheric pollution on intestinal diseases.
本研究分析了河北省肠道疾病与空气污染物之间的相关性以及气象因素对该相关性的影响。从河北省2个城市2018年1月1日至2022年12月31日连续5年参与医保费用核算的医院住院数据中选取初诊为肠道疾病的病例。来自真实空气监测网络的污染数据,包括细颗粒物(PM2.5)、可吸入颗粒物(PM10)、二氧化硫(SO2)、二氧化氮(NO2)、一氧化碳(CO)和8小时最大臭氧(O3_8h)。来自国家气象信息中心的气象数据,包括温度、湿度和风速。采用工具变量法和条件泊松分布滞后非线性模型分析空气污染物水平与肠道疾病住院风险之间的关联,并通过乘法分析空气污染物和气象因素对肠道疾病的影响。本研究共纳入77258例因肠道疾病住院的患者。PM2.5、PM10、NO2、SO2和CO与肠道疾病住院风险显著相关。PM10、SO2、NO2和CO对肠道疾病的影响具有滞后性。在不同温度和湿度下,空气污染物水平与肠道疾病住院风险之间的关联有所不同。分层分析发现,年轻人和男性是易感人群,NO2与非感染性肠炎住院风险之间存在关联,PM2.5、PM10、NO2和O3与肠梗阻之间存在关联。空气污染物水平与肠道疾病之间存在显著相关性,气象因素与大气污染对肠道疾病存在交互作用。