环境与职业医学 (Oct 2024)
Effects of meteorological factors and air pollutants on hospitalization volume of ischemic heart disease in Urumqi City
Abstract
BackgroundThe effects of meteorological factors and air pollutants on ischemic heart disease (IHD) hospitalizations in Urumqi have not been fully understood. ObjectiveTo investigate the effects of meteorological conditions (temperature, relative humidity) and common air pollutants [fine particulate matter (PM2.5), inhalable particulate matter (PM10), ozone (O3), sulfur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO)] on the daily hospitalization volume of IHD, and to provide a scientific basis for the development of targeted prevention and management strategies. MethodsBasic information of 90622 IHD hospitalized patients in Urumqi City was collected from January 1, 2014 to December 31, 2022, and daily air pollutant concentration data and meteorological data were collected during the same period. The meteorological data included daily mean temperature, daily maximum temperature, daily minimum temperature, and daily mean relative humidity, and the common air pollutants included PM2.5, PM10, daily maximum 8-h average concentration of O3 (O3_8 h), SO2, NO2, and CO. Descriptive statistical analyses (mean, standard deviation, and quartiles) were performed on the collected data. A distribution lag nonlinear model (DLNM) based on time-stratified case-crossover design was established to estimate the lagged effects (RR) as well as the cumulative lagged effects (RRcum) of daily mean temperature, relative humidity, and different air pollutants on the number of IHD admissions, stratified by gender and age (1, P<0.001) between temperature, PM, and O3_8 h on the risk of IHD hospitalization, especially for low temperature-high PM and O3_8 h. ConclusionBoth low temperature and high pollutant concentrations associate with an increase in IHD hospitalizations with lagged effects in Urumqi from 2014 to 2022, while cold waves associate with a higher risk of IHD admissions. Females and people aged 60 years and older are at high risk.
Keywords