A limited number of studies have addressed environmental inequality, using various study designs and methodologies and often reaching contradictory results. Following a standardized multi-city data collection process within the European project EURO-HEALTHY, we conducted an ecological study to investigate the spatial association between nitrogen dioxide (NO), as a surrogate for traffic related air pollution, and ten socioeconomic indicators at local administrative unit level in nine European Metropolitan Areas. We applied mixed models for the associations under investigation with random intercepts per Metropolitan Area, also accounting for the spatial correlation. The stronger associations were observed between NO levels and population density, population born outside the European Union (EU28), total crimes per 100,000 inhabitants and unemployment rate that displayed a highly statistically significant trend of increasing concentrations with increasing levels of the indicators. Specifically, the highest vs the lowest quartile of each indicator above was associated with 48.7% (95% confidence interval (CI): 42.9%, 54.8%), 30.9% (95%CI: 22.1%, 40.2%), 19.8% (95%CI: 13.4%, 26.6%) and 15.8% (95%CI: 9.9%, 22.1%) increase in NO respectively. The association with population density most probably reflects the higher volume in vehicular traffic, which is the main source of NO in urban areas. Higher pollution levels in areas with higher percentages of people born outside EU28, crime or unemployment rates indicate that worse air quality is typically encountered in deprived European urban areas. Policy makers should consider spatial environmental inequalities to better inform actions aiming to lower urban air pollution levels that will subsequently lead to improved quality of life, public health and health equity across the population.
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http://dx.doi.org/10.1016/j.envpol.2019.03.050 | DOI Listing |
BMC Public Health
January 2025
Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, PR China.
Background: Traffic-related air pollution especially in highly socioeconomically developed megacity is usually considered as a severe problem leading to inevitable adverse health outcomes. This study aimed to investigate the associations between traffic-related air pollutants with risk of dry eye disease (DED) outpatient visits in a megacity (Guangzhou) along the subtropical coast in South China.
Methods: Daily data on DED outpatient visits and environmental variables from 1 January 2014 to 31 December 2020 in Guangzhou were obtained.
J Expo Sci Environ Epidemiol
January 2025
Environmental Research Group, School of Public Health, Imperial College London, London, UK.
Background: Accurate estimates of personal exposure to ambient air pollution are difficult to obtain and epidemiological studies generally rely on residence-based estimates, averaged spatially and temporally, derived from monitoring networks or models. Few epidemiological studies have compared the associated health effects of personal exposure and residence-based estimates.
Objective: To evaluate the association between exposure to air pollution and cognitive function using exposure estimates taking mobility and location into account.
Chempluschem
January 2025
China University of Mining and Technology, School of electrical and power engineering, NO.1, Daxue Road, 221116, Xuzhou, CHINA.
The mining industry produces a large amount of industrial solid waste every year. Among them, fly ash (FA), slag and tailings are the three main solid wastes, which can cause soil pollution, air pollution, water pollution and serious threat to human health if not handled properly. At present, the treatment methods of industrial solid waste mainly include direct landfill, recovery of high-value components, production of construction materials, etc.
View Article and Find Full Text PDFJ Prev Alzheimers Dis
January 2025
National Center for Disease Prevention and Health Promotion, Italian National Institute of Health Rome, Italy.
Background: Dementia is a major global public health challenge, with over 50 million cases in 2020, projected to reach 152 million by 2050. Effective prevention strategies are needed to reduce the impact of modifiable risk factors associated with dementia, particularly in countries with ageing populations like Italy. The Population Attributable Fraction (PAF) and Potential Impact Fraction (PIF) are key metrics for understanding and reducing dementia cases through targeted interventions.
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