Environmental Pollutants and Life Quality

Environment, Healthcare, Lifestyle Factors, Mortality, Pollution Exposure

environmental pollutants, lifestyle, mortality, risk factors, public health, life expectancy

This study is part of the MISTRAL project, funded by the European Commission under the Horizon Europe Program, within the Work Programme 2021-2022 of Pillar II - Health Cluster on Environment and Health, which has the main objective of creating a cloud-based informatics platform for Health Impact Assessment analysis that, thanks to artificial intelligence, is able to simulate different clinical scenarios, economic and social, before and after the introduction of environmental risk mitigation policies, starting from data and evidence derived from case studies (several European cities) with different levels of exposure to environmental, health, geographical and socio-economic factors. The Project involves 11 partners distributed among Italy (Istituto Superiore di Sanità, Azienda Sanitaria Locale di Taranto, University of Bari, Politecnico di Bari, APS PLANET), Belgium (University of Hasselt), Poland (AGH-University of Technology and Science), Germany (Nuromedia), Spain (Ubitel), Greece (WINGS-ICT Solutions) and England (University of Oxford, University of Suffolk). Specifically, the ZEPHYR study is a cross-sectional (cross-sectional), population-based, multicenter survey. The centers involved are the ASL of Taranto with the Taranto City Single District (Coordinating Recruitment Center), the University of Hasselt, Belgium (Recruitment Center Hasselt Hospital Campus), and the University of Krakow, Poland (Rybnik University Hospital as recruitment center).

The purpose of the cross-sectional interventional survey is to directly measure the population most susceptible to environmental determinants, the frequency of multidimensional variables, and the conditions that may change their health status. Specifically, the survey has two main objectives, corresponding to two outcomes to be investigated separately in the same populations. 1. Recruitment of 380 children, 418 adults and 418 elderly. These sample sizes will be those planned for each unit (Taranto in Italy, Rybnik in Poland, and Genk-Hasselt County in Belgium). 2. The areas of Tamburi (an area presumably highly exposed to environmental pollutants) and Talsano-Lama-San Vito will be selected for sampling in the city of Taranto. 3. Administration of informed consents through general practitioners and pediatricians of free choice in the areas involved in recruitment. 4. Collection of urine and blood samples to measure determinants associated with the concentration of black carbon (BC) in urine samples and other pollutants (PCBs, Benzene) in blood and urine. The collected exposure data will be used to create a pragmatic score (dose-response function) of environmental pollution contamination. 5. Measurement of clinical, social and environmental determinants and predictors of quality of life (QoL), measured using a specific validated multinational questionnaire the EQ-5D-5L, and to create a probabilistic score, using feature selection algorithms in machine learning, that can predict different classes of QoL using clinical, social and environmental determinants. Black carbon assay will be considered as a proxy for exposure to pollutants specifically related to steel production. This has been identified as one of the most promising biomarkers in terms of evidence of both deterministic and stochastic biological damage, in particular in the pediatric population,3 and it has even been demonstrated in fetal exposure4. In addition, the huge amount of urine samples collected will lead to the creation of a urine biobank for further (eventual) molecular analysis. Quality of life will be measured directly in different subpopulations, to be used to construct individual surrogate QALY scores. On the sidelines of these macro objectives, however, additional biomarkers will be analyzed in the tissues of consenting subjects. Specifically, the following will be analyzed : 1. Benzene metabolites: S-phenyl-mercapturic acid (SPMA)c,t- muconic acids; 2. metabolites of PAHs: the 1-hydroxypyrene (1-OHPyr) 3. cotinine to identify smokers, those exposed to secondhand smoke, and in nonsmokers. 4. PCR analysis for detection of telomere length (indicators of aging)

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