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Ren N, Huang H, Liu B, Wu C, Xiang J, Zhou Q, Kang S, Zhang X, Jiang Y. Interactive effects of atmospheric oxidising pollutants and heat waves on the risk of residential mortality. Glob Health Action 2024; 17:2313340. [PMID: 38381455 PMCID: PMC10883108 DOI: 10.1080/16549716.2024.2313340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 01/29/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND The impact of heat waves and atmospheric oxidising pollutants on residential mortality within the framework of global climate change has become increasingly important. OBJECTIVE In this research, the interactive effects of heat waves and oxidising pollutants on the risk of residential mortality in Fuzhou were examined. Methods We collected environmental, meteorological, and residential mortality data in Fuzhou from 1 January 2016, to 31 December 2021. We then applied a generalised additive model, distributed lagged nonlinear model, and bivariate three-dimensional model to investigate the effects and interactions of various atmospheric oxidising pollutants and heat waves on the risk of residential mortality. RESULTS Atmospheric oxidising pollutants increased the risk of residential mortality at lower concentrations, and O3 and Ox were positively associated with a maximum risk of 2.19% (95% CI: 0.74-3.66) and 1.29% (95% CI: 0.51-2.08). The risk of residential mortality increased with increasing temperature, with a strong and long-lasting effect and a maximum cumulative lagged effect of 1.11% (95% CI: 1.01, 1.23). Furthermore, an interaction between atmospheric oxidising pollutants and heat waves may have occurred: the larger effects in the longest cumulative lag time on residential mortality per 10 µg/m3 increase in O3, NO2 and Ox during heat waves compared to non-heat waves were [-3.81% (95% CI: -14.82, 8.63)]; [-0.45% (95% CI: -2.67, 1.81)]; [67.90% (95% CI: 11.55, 152.71)]; 16.37% (95% CI: 2.43, 32.20)]; [-3.00% (95% CI: -20.80, 18.79)]; [-0.30% (95% CI: -3.53, 3.04)]. The risk on heat wave days was significantly higher than that on non-heat wave days and higher than the separate effects of oxidising pollutants and heat waves. CONCLUSIONS Overall, we found some evidence suggesting that heat waves increase the impact of oxidising atmospheric pollutants on residential mortality to some extent.
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Affiliation(s)
- Nan Ren
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Huimin Huang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Baoying Liu
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Chuancheng Wu
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Jianjun Xiang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Quan Zhou
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Shuling Kang
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Xiaoyang Zhang
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Yu Jiang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
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On the supra-linearity of the relationship between air pollution, mortality and hospital admission in 18 French cities. Int Arch Occup Environ Health 2023; 96:551-563. [PMID: 36602605 DOI: 10.1007/s00420-022-01948-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 12/15/2022] [Indexed: 01/06/2023]
Abstract
PURPOSE Understanding the relationship between an environmental determinant and a given health outcome is key to inform public health policies. The short-term mortality and morbidity responses to outdoor air pollutants are traditionally assessed as a log-linear relationship, but few studies suggest a possible deviation from linearity. This paper investigates the shape of the relationship between ozone, NO2 and fine particulate matter (PM10 and PM2.5), mortality and hospital admissions in 18 French cities between 2000 and 2017. METHOD A multi-centric time series design, using quasi-Poisson generalized additive models, was used. Four approaches were compared to model concentration-response curves (log-linear, piecewise-linear with a priori defined breakpoints, piecewise-linear with no a priori breakpoint and cubic spline). RESULTS All the models indicated evidence of supra-linearity between PM10, PM2.5, NO2, mortality and hospital admissions. For instance, with a log-linear model, a 10 µg/m3 increase in PM2.5 was associated with a 0.4% [95% CI 0.2; 0.7] increase in non-accidental mortality. When using a piecewise model with a priori set breakpoint at 10 µg/m3, the mortality increase was 3.8% [4.4; 6.3] below 10 µg/m3, and 0.3% [0; 0.6] above. Non-significant impacts of ozone were found for concentrations below 90 µg/m3 to 120 µg/m3, with some variability in the identified threshold across the heath indicator studied. CONCLUSION The supra-linearity of the relationship between PM10, PM2.5, NO2, mortality and hospital admissions supports the need to further reduce air pollution concentrations well below regulatory values.
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Allouche J, Cremoni M, Brglez V, Graça D, Benzaken S, Zorzi K, Fernandez C, Esnault V, Levraut M, Oppo S, Jacquinot M, Armengaud A, Pradier C, Bailly L, Seitz-Polski B. Air pollution exposure induces a decrease in type II interferon response: A paired cohort study. EBioMedicine 2022; 85:104291. [PMID: 36183487 PMCID: PMC9525814 DOI: 10.1016/j.ebiom.2022.104291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/22/2022] [Accepted: 09/13/2022] [Indexed: 12/01/2022] Open
Abstract
Background While air pollution is a major issue due to its harmful effects on human health, few studies focus on its impact on the immune system and vulnerability to viral infections. The lockdown declared following the COVID-19 pandemic represents a unique opportunity to study the large-scale impact of variations in air pollutants in real life. We hypothesized that variations in air pollutants modify Th1 response represented by interferon (IFN) γ production. Methods We conducted a single center paired pilot cohort study of 58 participants, and a confirmation cohort of 320 participants in Nice (France), with for each cohort two samplings at six months intervals. We correlated the variations in the production of IFNγ after non-specific stimulation of participants’ immune cells with variations in key regulated pollutants: NO2, O3, PM2.5, and PM10 and climate variables. Using linear regression, we studied the effects of variations of each pollutant on the immune response. Findings In the pilot cohort, IFNγ production significantly decreased by 25.7% post-lockdown compared to during lockdown, while NO2 increased significantly by 46.0%. After the adjustment for climate variations during the study period (sunshine and temperature), we observed a significant effect of NO2 variation on IFNγ production (P=0.03). In the confirmation cohort IFNγ decreased significantly by 47.8% and after adjustment for environmental factors and intrinsic characteristics we observed a significant effect of environmental factors: NO2, PM10, O3, climatic conditions (sunshine exposure, relative humidity) on variation in IFNγ production (P=0.005, P<0.001, P=0.001, P=0.002 and P<0.001 respectively) but not independently from the BMI at inclusion and the workplace P=0.007 and P<0.001 respectively). Interpretation We show a weakening of the antiviral cellular response in correlation with an increase of pollutants exposition. Funding Agence Nationale de la Recherche, Conseil Départemental des Alpes-Maritimes and Region Sud.
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Affiliation(s)
- Jonathan Allouche
- Department of Public Health, University Hospital of Nice, University Côte, France; Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France
| | - Marion Cremoni
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France; Immunology Department, University Hospital of Nice, Université Côte d'Azur, Nice, France
| | - Vesna Brglez
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France; Immunology Department, University Hospital of Nice, Université Côte d'Azur, Nice, France
| | - Daisy Graça
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France; Immunology Department, University Hospital of Nice, Université Côte d'Azur, Nice, France
| | - Sylvia Benzaken
- Immunology Department, University Hospital of Nice, Université Côte d'Azur, Nice, France
| | - Kévin Zorzi
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France
| | - Céline Fernandez
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France; Immunology Department, University Hospital of Nice, Université Côte d'Azur, Nice, France
| | - Vincent Esnault
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France
| | - Michaël Levraut
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France
| | - Sonia Oppo
- AtmoSud, Air Quality Observatory for Southern Region, Marseille, France
| | - Morgan Jacquinot
- AtmoSud, Air Quality Observatory for Southern Region, Marseille, France
| | | | - Christian Pradier
- Department of Public Health, University Hospital of Nice, University Côte, France; Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France
| | - Laurent Bailly
- Department of Public Health, University Hospital of Nice, University Côte, France; Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France
| | - Barbara Seitz-Polski
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France; Immunology Department, University Hospital of Nice, Université Côte d'Azur, Nice, France.
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