2026-08-29T14:17:41Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/255592025-12-18T13:00:58Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19608col_20.500.12105_19609col_20.500.12105_19610

00925njm 22002777a 4500 dc Pallares, Susana author Sanchez Iñigo, Francisco Javier author Nuñez-Corcuera, Beatriz author Lozano Suárez, Joaquín author Arca de Lafuente, Sonia author Moyano Cárdaba, Clara author Fernandez Agudo, Ana author De Alba-González, Mercedes author Ramis, Rebeca author Galan-Madruga, David author González-Caballero, MCarmen author Briz, Veronica author Guevara-Hernandez, Susana author de Vega Pastor, Ma Encarnación author Sarigiannis, Denis author Garcia Dos Santos-Alves, Saul author Tarazona, Jose author 2024-09 Background: Regular monitoring of the air pollutant nitrogen dioxide (NO2), an indicator for traffic-related emissions, is a priority in urban environments. The health impacts associated with NO2 exposure are the result of a combination of factors, including concentration, duration of exposure, and interactions with other pollutants. WHO has established air quality guidelines based on epidemiological studies. Objective: This study develops a new concept "Health Impact Pathways (HIPs)" using adversity as a probabilistic indicator of health effects. For this purpose, it integrates available toxicological and epidemiological information, using Adverse Outcome Pathways (AOPs), in order to understand chemical-biological interactions and their consequences on health. Methods: Literature review and meta-analysis of toxicological data supported by expert judgment were performed to establish: a) adversity pathways, b) quantitative criteria for scoring the observed toxicological effects (adversity indicators), c) NO2 exposure - adversity relationship for both long-term (1-36 months) and shortterm (1-7 days). The NO2 daily concentrations from January 2001 to December 2022, were obtained from Madrid city Air Quality network monitoring database. Adversity levels were compared with relative risk levels for all-cause and respiratory mortality estimated using linear equations from WHO 2021 guidelines. Results: Non-linear relations were obtained for all long- and short-term NO2 related adversity indicators; for long-term effects, the best fitting was obtained with a modified Haber's law model with an exponential coefficient for the exposure time of 0.25. Estimations are presented for a set of case studies for Madrid city, covering temporal and spatial variability. A clear improvement trend along the two decades was observed, as well as high inter- and intra-station variability; the adversity indicators provided integrated information on the temporal and spatial evolution of population level risk. Discussion: The proposed HIP conceptual approach offers promising advances for integrating experimental and epidemiological data. The next step is linking the concentration-adversity relationship with population health impacts through probability estimations, the preliminary estimations confirm the need for assessing independently different population groups. Chemosphere. 2024 Sep:363:142883. 10.1016/j.chemosphere.2024.142883 1879-1298 0045-6535 Chemosphere 39025310 https://hdl.handle.net/20.500.12105/25559 Adversity Epidemiological studies Health Impact Pathways NO(2) Probabilistic approach Toxicological data Combination of toxicological and epidemiological approaches for estimating the health impact of atmospheric pollutants. A proof of concept for NO(2)