Aranburu-Imatz Alejandra, Jiménez-Hornero Jorge E, Morales-Cané Ignacio, López-Soto Pablo Jesús
Department of Nursing, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menéndez Pidal S/N., 14004 Córdoba, Spain.
Department of Nursing, Pharmacology and Physiotherapy, University of Cordoba, Córdoba, Spain.
Air Qual Atmos Health. 2023;16(4):793-804. doi: 10.1007/s11869-023-01310-7. Epub 2023 Jan 25.
The impact on human health from environmental pollution is receiving increasing attention. In the case of respiratory diseases such as chronic obstructive pulmonary disease (COPD), the relationship is now well documented. However, few studies have been carried out in areas with low population density and low industrial production, such as the province of Belluno (North-Eastern Italy). The aim of the study was to analyze the effect of exposure to certain pollutants on the temporal dynamics of hospital admissions for COPD in the province of Belluno. Daily air pollution concentration, humidity, precipitations, and temperature were collected from the air monitoring stations in Belluno. Generalized additive mixed models (GAMM) and visibility graphs were used to determine the effects of the short-term exposure to environmental agents on hospital admissions associated to COPD. In the case of the city of Belluno, the GAMM showed that hospital admissions were associated with NO, PM, date, and temperature, while for the city of Feltre, GAMM produced no associated variables. Several visibility graph indices (average edge overlap and interlayer mutual information) showed a significant overlap between environmental agents and hospital admission for both cities. Our study has shown that visibility graphs can be useful in establishing associations between environmental agents and COPD hospitalization in sparsely populated areas.
环境污染对人类健康的影响日益受到关注。就慢性阻塞性肺疾病(COPD)等呼吸道疾病而言,这种关系现已得到充分记录。然而,在人口密度低和工业生产少的地区,如贝卢诺省(意大利东北部),开展的研究很少。本研究的目的是分析接触某些污染物对贝卢诺省COPD住院时间动态的影响。从贝卢诺的空气监测站收集每日空气污染浓度、湿度、降水量和温度。使用广义相加混合模型(GAMM)和可见性图来确定短期接触环境因素对与COPD相关的住院率的影响。在贝卢诺市,GAMM显示住院率与一氧化氮、颗粒物、日期和温度有关,而在费尔特雷市,GAMM没有得出相关变量。几个可见性图指数(平均边重叠和层间互信息)显示两个城市的环境因素与住院率之间存在显著重叠。我们的研究表明,可见性图有助于在人口稀少地区建立环境因素与COPD住院之间的关联。