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García-Pérez J, Fernández de Larrea-Baz N, Lope V, Domínguez-Castillo A, Espinosa A, Dierssen-Sotos T, Contreras-Llanes M, Sierra MÁ, Castaño-Vinyals G, Tardón A, Jiménez-Moleón JJ, Molina-Barceló A, Aragonés N, Kogevinas M, Pollán M, Pérez-Gómez B. Risk of prostate cancer in the proximity of industrial installations: A multicase-control study in Spain (MCC-Spain). THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174347. [PMID: 38944307 DOI: 10.1016/j.scitotenv.2024.174347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 06/11/2024] [Accepted: 06/26/2024] [Indexed: 07/01/2024]
Abstract
BACKGROUND Prostate cancer (PC) is the second most frequent tumor in men worldwide; however, its etiology remains largely unknown, with the exception of age and family history. The wide variability in incidence/mortality across countries suggests a certain role for environmental exposures that has not yet been clarified. OBJECTIVE To evaluate the association between risk of PC (by clinical profile) and residential proximity to pollutant industrial installations (by industrial groups, groups of carcinogens, and specific pollutants released), within the context of a Spanish population-based multicase-control study of incident cancer (MCC-Spain). METHODS This study included 1186 controls and 234 PC cases, frequency matched by age and province of residence. Distances from participants' residences to the 58 industries located in the study area were calculated and categorized into "near" (considering different limits between ≤1 km and ≤ 3 km) or "far" (>3 km). Odds ratios (ORs) and 95 % confidence intervals (95%CIs) were estimated using mixed and multinomial logistic regression models, adjusted for potential confounders and matching variables. RESULTS No excess risk was detected near the overall industries, with ORs ranging from 0.66 (≤2 km) to 1.11 (≤1 km). However, positive associations (OR; 95%CI) were found, by industrial group, near (≤3 km) industries of ceramic (2.54; 1.28-5.07), food/beverage (2.18; 1.32-3.62), and disposal/recycling of animal waste (2.67; 1.12-6.37); and, by specific pollutant, near plants releasing fluorine (4.65; 1.45-14.91 at ≤1.5 km) and chlorine (5.21; 1.56-17.35 at ≤1 km). In contrast, inverse associations were detected near industries releasing ammonia, methane, dioxins+furans, polycyclic aromatic hydrocarbons, trichloroethylene, and vanadium to air. CONCLUSIONS The results suggest no association between risk of PC and proximity to the overall industrial installations. However, some both positive and inverse associations were detected near certain industrial groups and industries emitting specific pollutants.
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Affiliation(s)
- Javier García-Pérez
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain.
| | - Nerea Fernández de Larrea-Baz
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain.
| | - Virginia Lope
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain.
| | - Alejandro Domínguez-Castillo
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain.
| | - Ana Espinosa
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Barcelona Institute of Global Health (ISGlobal), Carrer Del Dr. Aiguader, 88, 08003 Barcelona, Spain; University Pompeu Fabra, Plaça de La Mercè, 10-12, 08002 Barcelona, Spain; Hospital Del Mar Medical Research Institute (IMIM), Carrer Del Dr. Aiguader, 88, 08003 Barcelona, Spain.
| | - Trinidad Dierssen-Sotos
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Department of Medical and Surgical Sciences, Faculty of Medicine, University of Cantabria, IDIVAL, Avda. Cardenal Herrera Oria s/n, 39011 Santander, Spain.
| | - Manuel Contreras-Llanes
- Research Center on Natural Resources, Health, and Environment (RENSMA), University of Huelva, Campus de El Carmen, Av. del Tres de Marzo, s/n, 21071 Huelva, Spain.
| | - María Ángeles Sierra
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain.
| | - Gemma Castaño-Vinyals
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Barcelona Institute of Global Health (ISGlobal), Carrer Del Dr. Aiguader, 88, 08003 Barcelona, Spain; University Pompeu Fabra, Plaça de La Mercè, 10-12, 08002 Barcelona, Spain; Hospital Del Mar Medical Research Institute (IMIM), Carrer Del Dr. Aiguader, 88, 08003 Barcelona, Spain.
| | - Adonina Tardón
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Health Research Institute of Asturias (ISPA), University of Oviedo, Av. Del Hospital Universitario, 33011 Oviedo, Spain.
| | - José J Jiménez-Moleón
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Av. de La Investigación, 11, 18016 Granada, Spain; Institute of Health Research IBS., Granada, Spain.
| | - Ana Molina-Barceló
- Cancer and Public Health Area, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Av. de Catalunya, 21, 46020 Valencia, Spain.
| | - Nuria Aragonés
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Cancer Surveillance and Registry Unit, Division of Public Health, Department of Health of Madrid, C. López de Hoyos, 35, 28002 Madrid, Spain.
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Barcelona Institute of Global Health (ISGlobal), Carrer Del Dr. Aiguader, 88, 08003 Barcelona, Spain; University Pompeu Fabra, Plaça de La Mercè, 10-12, 08002 Barcelona, Spain; Hospital Del Mar Medical Research Institute (IMIM), Carrer Del Dr. Aiguader, 88, 08003 Barcelona, Spain.
| | - Marina Pollán
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain.
| | - Beatriz Pérez-Gómez
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain.
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Belachsen I, Broday DM. Decomposing PM 2.5 concentrations in urban environments into meaningful factors 2. Extracting the contribution of traffic-related exhaust emissions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 940:173715. [PMID: 38852869 DOI: 10.1016/j.scitotenv.2024.173715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 05/13/2024] [Accepted: 05/31/2024] [Indexed: 06/11/2024]
Abstract
Vehicle-emitted fine particulate matter (PM2.5) has been associated with significant health outcomes and environmental risks. This study estimates the contribution of traffic-related exhaust emissions (TREE) to observed PM2.5 using a novel factorization framework. Specifically, co-measured nitrogen oxides (NOx) concentrations served as a marker of vehicle-tailpipe emissions and were integrated into the optimization of a Non-negative Matrix Factorization (NMF) analysis to guide the factor extraction. The novel TREE-NMF approach was applied to long-term (2012-2019) PM2.5 observations from air quality monitoring (AQM) stations in two urban areas. The extracted TREE factor was evaluated against co-measured black carbon (BC) and PM2.5 species to which the TREE-NMF optimization was blind. The contribution of the TREE factor to the observed PM2.5 concentrations at an AQM station from the first location showed close agreement (R2=0.79) with monitored BC data. In the second location, a comparison of the extracted TREE factor with measurements at a nearby Surface PARTiculate mAtter Network (SPARTAN) station revealed moderate correlations with PM2.5 species commonly associated with fuel combustion, and a good linear regression fit with measured equivalent BC concentrations. The estimated concentrations of the TREE factor at the second location accounted for 7-11 % of the observed PM2.5 in the AQM stations. Moreover, analysis of specific days known to be characterized by little traffic emissions suggested that approximately 60-78 % of the traffic-related PM2.5 concentrations could be attributed to particulate traffic-exhaust emissions. The methodology applied in this study holds great potential in areas with limited monitoring of PM2.5 speciation, in particular BC, and its results could be valuable for both future environmental health research, regional radiative forcing estimates, and promulgation of tailored regulations for traffic-related air pollution abatement.
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Affiliation(s)
- Idit Belachsen
- Faculty of Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa, Israel
| | - David M Broday
- Faculty of Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa, Israel.
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Sadeh M, Fulman N, Agay N, Levy I, Ziv A, Chudnovsky A, Brauer M, Dankner R. Residential Greenness and Long-term Mortality Among Patients Who Underwent Coronary Artery Bypass Graft Surgery. Epidemiology 2024; 35:41-50. [PMID: 37820249 DOI: 10.1097/ede.0000000000001687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
BACKGROUND Studies have reported inverse associations between exposure to residential greenness and mortality. Greenness has also been associated with better surgical recovery. However, studies have had small sample sizes and have been restricted to clinical settings. We investigated the association between exposure to residential greenness and all-cause mortality among a cohort of cardiac patients who underwent coronary artery bypass graft (CABG) surgery. METHODS We studied this cohort of 3,128 CABG patients between 2004 and 2009 at seven cardiothoracic departments in Israel and followed patients until death or 1st May 2021. We collected covariate information at the time of surgery and calculated the patient-level average normalized difference vegetation index (NDVI) over the entire follow-up in a 300 m buffer from the home address. We used Cox proportional hazards regression models to estimate associations between greenness and death, adjusting for age, sex, origin, socioeconomic status, type of hospital admission, peripherality, air pollution, and distance from the sea. RESULTS Mean age at surgery was 63.8 ± 10.6 for men and 69.5 ± 10.0 for women. During an average of 12.1 years of follow-up (37,912 person-years), 1,442 (46%) patients died. A fully adjusted Cox proportional hazards model estimated a 7% lower risk of mortality (HR: 0.93, 95% CI = [0.85, 1.00]) per 1 interquartile range width increase (0.04) in NDVI. Results were robust to the use of different buffer sizes (100 m-1,250 m from the home) and to the use of average NDVI exposure during the first versus the last 2 years of follow-up. CONCLUSIONS Residential greenness was associated with lower risk of mortality in CABG patients.
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Affiliation(s)
- Maya Sadeh
- From the Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Nir Fulman
- GIScience Research Group, Institute of Geography, Heidelberg University, Heidelberg, Germany
| | - Nirit Agay
- The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel
| | - Ilan Levy
- Air Quality Division, Israel Ministry of Environmental Protection
| | - Arnona Ziv
- Unit for Data Management and Computerization, the Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel
| | - Alexandra Chudnovsky
- AIR-O Lab, Porter School of Environment and Geosciences, Faculty of Exact Sciences, Department of Geography and Human Environment, Tel Aviv University, Israel
| | - Michael Brauer
- School of Population & Public Health, University of British Columbia, Canada
| | - Rachel Dankner
- From the Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel
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Lee YJ, Loh WQ, Dang TK, Teng CWC, Pan WC, Wu CD, Chia SE, Seow WJ. Determinants of residential greenness and its association with prostate cancer risk: A case-control study in Singapore. ENVIRONMENTAL RESEARCH 2023; 237:116903. [PMID: 37598842 DOI: 10.1016/j.envres.2023.116903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 07/31/2023] [Accepted: 08/15/2023] [Indexed: 08/22/2023]
Abstract
BACKGROUND Exposure to greenness has been shown to be beneficial to health, but few studies have examined the association between residential greenness and prostate cancer (PCa) risk. Our main objectives were to identify the determinants of residential greenness, and to investigate if residential greenness was associated with PCa risk in Singapore. METHODS The hospital-based case-control study was conducted between April 2007 and May 2009. The Singapore Prostate Cancer Study (SPCS) comprised 240 prostate cancer cases and 268 controls, whose demographics and residential address were collected using questionnaires. Residential greenness was measured by normalized difference vegetation index (NDVI) around the participants' homes using a buffer size of 1 km. Determinants of NDVI were identified using a multivariable linear regression model. Logistic regression models were used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) of associations between NDVI and PCa risk, adjusting for potential confounders. RESULTS Having a BMI within the second quartile, as compared to the lowest quartile, was associated with higher levels of NDVI (β-coefficient = 0.263; 95% CI = 0.040-0.485) after adjusting for covariates. Additionally, being widowed or separated, as compared to being married, was associated with lower levels of NDVI (β-coefficient = -0.393; 95% CI = -0.723, -0.063). An interquartile range (IQR) increase in NDVI was positively associated with prostate cancer risk OR = 1.45; 95% CI = 1.02-2.07). Stratified analysis by tumour grade and stage showed that higher NDVI was associated with higher risk of low grade PCa. CONCLUSION Our findings suggested that residential greenness was associated with higher risk of PCa in Singapore. Future studies on the quality and type of green spaces, as well as other factors of residential greenness, in association with PCa risk should be conducted to better understand this relationship.
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Affiliation(s)
- Yueh Jia Lee
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, Singapore, 117549
| | - Wei Qi Loh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, Singapore, 117549
| | - Trung Kien Dang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, Singapore, 117549
| | - Cecilia Woon Chien Teng
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, Singapore, 117549
| | - Wen-Chi Pan
- Institute of Environmental and Occupational Health Sciences, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chih-Da Wu
- Department of Geomatics, National Cheng Kung University, Tainan, Taiwan; National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan; Innovation and Development Center of Sustainable Agriculture, National Chung-Hsing University, Tainan, Taiwan
| | - Sin Eng Chia
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, Singapore, 117549; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 10 Medical Dr, Singapore, 117597
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, Singapore, 117549; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 10 Medical Dr, Singapore, 117597.
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Tetzlaff F, Nowossadeck E, Jansen L, Michalski N, Barnes B, Kraywinkel K, Hoebel J. Widening area-based socioeconomic inequalities in cancer mortality in Germany between 2003 and 2019. Sci Rep 2023; 13:17833. [PMID: 37857781 PMCID: PMC10587166 DOI: 10.1038/s41598-023-45254-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 10/17/2023] [Indexed: 10/21/2023] Open
Abstract
Cancer mortality has declined in recent decades, but-due to a lack of national individual-level data-it remains unclear whether this applies equally to all socioeconomic groups in Germany. Using an area-based approach, this study investigated socioeconomic inequalities in cancer mortality and their secular trends on a German nationwide scale for the first time. Official cause-of-death data from 2003 to 2019 were linked to the district-level German Index of Socioeconomic Deprivation. Age-standardised mortality rates for all cancers combined and the most common site-specific cancers were calculated according to the level of regional socioeconomic deprivation. To quantify the extent of area-based socioeconomic inequalities in cancer mortality, absolute (SII) and relative (RII) indices of inequality were estimated using multilevel Poisson models. On average, cancer mortality was 50% (women) and 80% (men) higher in Germany's most deprived than least deprived districts (absolute difference: 84 deaths per 100,000 in women and 185 deaths per 100,000 in men). As declines in cancer mortality were larger in less deprived districts, the socioeconomic gap in cancer mortality widened over time. This trend was observed for various common cancers. Exceptions were cancers of the lung in women and of the pancreas in both sexes, for which mortality rates increased over time, especially in highly deprived districts. Our study provides first evidence on increasing socioeconomic inequalities in cancer mortality on a nationwide scale for Germany. Area-based linkage allows to examine socioeconomic inequalities in cancer mortality across Germany and identify regions with high needs for cancer prevention and control.
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Affiliation(s)
- Fabian Tetzlaff
- Division of Social Determinants of Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Nordufer 20, 13302, Berlin, Germany.
| | - Enno Nowossadeck
- Division of Social Determinants of Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Nordufer 20, 13302, Berlin, Germany
| | - Lina Jansen
- German Cancer Research Center (DKFZ), Epidemiological Cancer Registry Baden-Württemberg, Heidelberg, Germany
| | - Niels Michalski
- Division of Social Determinants of Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Nordufer 20, 13302, Berlin, Germany
| | - Ben Barnes
- German Centre for Cancer Registry Data, Department of Epidemiology and Health Monitoring, Robert Koch-Institute, Berlin, Germany
| | - Klaus Kraywinkel
- German Centre for Cancer Registry Data, Department of Epidemiology and Health Monitoring, Robert Koch-Institute, Berlin, Germany
| | - Jens Hoebel
- Division of Social Determinants of Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Nordufer 20, 13302, Berlin, Germany
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Boogaard H, Samoli E, Patton AP, Atkinson RW, Brook JR, Chang HH, Hoffmann B, Kutlar Joss M, Sagiv SK, Smargiassi A, Szpiro AA, Vienneau D, Weuve J, Lurmann FW, Forastiere F, Hoek G. Long-term exposure to traffic-related air pollution and non-accidental mortality: A systematic review and meta-analysis. ENVIRONMENT INTERNATIONAL 2023; 176:107916. [PMID: 37210806 DOI: 10.1016/j.envint.2023.107916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 04/01/2023] [Accepted: 04/02/2023] [Indexed: 05/23/2023]
Abstract
BACKGROUND The health effects of traffic-related air pollution (TRAP) continue to be of important public health interest across the globe. Following its 2010 review, the Health Effects Institute appointed a new expert Panel to systematically evaluate the epidemiological evidence regarding the associations between long-term exposure to TRAP and selected health outcomes. This paper describes the main findings of the systematic review on non-accidental mortality. METHODS The Panel used a systematic approach to conduct the review. An extensive search was conducted of literature published between 1980 and 2019. A new exposure framework was developed to determine whether a study was sufficiently specific to TRAP, which included studies beyond the near-roadway environment. We performed random-effects meta-analysis when at least three estimates were available of an association between a specific exposure and outcome. We evaluated confidence in the evidence using a modified Office of Health Assessment and Translation (OHAT) approach, supplemented with a broader narrative synthesis. RESULTS Thirty-six cohort studies were included. Virtually all studies adjusted for a large number of individual and area-level covariates-including smoking, body mass index, and individual and area-level socioeconomic status-and were judged at a low or moderate risk for bias. Most studies were conducted in North America and Europe, and a few were based in Asia and Australia. The meta-analytic summary estimates for nitrogen dioxide, elemental carbon and fine particulate matter-pollutants with more than 10 studies-were 1.04 (95% CI 1.01, 1.06), 1.02 (1.00, 1.04) and 1.03 (1.01, 1.05) per 10, 1 and 5 µg/m3, respectively. Effect estimates are interpreted as the relative risk of mortality when the exposure differs with the selected increment. The confidence in the evidence for these pollutants was judged as high, because of upgrades for monotonic exposure-response and consistency across populations. The consistent findings across geographical regions, exposure assessment methods and confounder adjustment resulted in a high confidence rating using a narrative approach as well. CONCLUSIONS The overall confidence in the evidence for a positive association between long-term exposure to TRAP and non-accidental mortality was high.
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Affiliation(s)
- H Boogaard
- Health Effects Institute, Boston, MA, United States.
| | - E Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - A P Patton
- Health Effects Institute, Boston, MA, United States
| | - R W Atkinson
- Population Health Research Institute, St. George's University of London, United Kingdom
| | - J R Brook
- Occupational and Environmental Health Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - H H Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - B Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany
| | - M Kutlar Joss
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany; Swiss Tropical and Public Health Institute, Allschwill, Switzerland; University of Basel, Switzerland
| | - S K Sagiv
- Center for Environmental Research and Children's Health, Division of Epidemiology, University of California Berkeley School of Public Health, Berkeley, CA, United States
| | - A Smargiassi
- Department of Environmental and Occupational Health, School of Public Health, University of Montreal, QC, Canada
| | - A A Szpiro
- Department of Biostatistics, University of Washington, Seattle, WA, United States
| | - D Vienneau
- Swiss Tropical and Public Health Institute, Allschwill, Switzerland; University of Basel, Switzerland
| | - J Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - F W Lurmann
- Sonoma Technology, Inc., Petaluma, CA, United States
| | - F Forastiere
- Environmental Research Group, School of Public Health, Imperial College, London, United Kingdom
| | - G Hoek
- Institute for Risk Assessment Sciences, Environmental Epidemiology, Utrecht University, Netherlands
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7
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Lequy E, Zare Sakhvidi MJ, Vienneau D, de Hoogh K, Chen J, Dupuy JF, Garès V, Burte E, Bouaziz O, Le Tertre A, Wagner V, Hertel O, Christensen JH, Zhivin S, Siemiatycki J, Goldberg M, Zins M, Jacquemin B. Influence of exposure assessment methods on associations between long-term exposure to outdoor fine particulate matter and risk of cancer in the French cohort Gazel. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 820:153098. [PMID: 35041955 DOI: 10.1016/j.scitotenv.2022.153098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 12/23/2021] [Accepted: 01/09/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Many studies investigated the relationship between outdoor fine particulate matter (PM2.5) and cancer. While they generally indicated positive associations, results have not been fully consistent, possibly because of the diversity of methods used to assess exposure. OBJECTIVES To investigate how using different PM2.5 exposure assessment methods influences risk estimates in the large French general population-based Gazel cohort (20,625 participants at enrollment) with a 26-year follow-up with complete residential histories. METHODS We focused on two cancer incidence outcomes: all-sites combined and lung. We used two distinct exposure assessment methods: a western European land use regression (LUR), and a chemistry-dispersion model (Gazel-Air) for France, each with a time series ≥20-years annual concentrations. Spearman correlation coefficient between the two estimates of PM2.5 was 0.71 across all person-years; the LUR tended to provide higher exposures. We used extended Cox models with attained age as time-scale and time-dependent cumulative exposures, adjusting for a set of confounders including sex and smoking, to derive hazard ratios (HRs) and their 95% confidence interval, implementing a 10-year lag between exposure and incidence/censoring. RESULTS We obtained similar two-piece linear associations for all-sites cancer (3711 cases), with a first slope of HRs of 1.53 (1.24-1.88) and 1.43 (1.19-1.73) for one IQR increase of cumulative PM2.5 exposure for the LUR and the Gazel-Air models respectively, followed by a plateau at around 1.5 for both exposure assessments. For lung cancer (349 cases), the HRs from the two exposure models were less similar, with largely overlapping confidence limits. CONCLUSION Our findings using long-term exposure estimates from two distinct exposure assessment methods corroborate the association between air pollution and cancer risk.
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Affiliation(s)
- Emeline Lequy
- Unité "Cohortes en Population" UMS 011 Inserm/Université de Paris/Université Paris Saclay/UVSQ, Villejuif, France; Centre de recherche du centre hospitalier de l'université de Montréal, Québec, Canada.
| | - Mohammad Javad Zare Sakhvidi
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Jie Chen
- Utrecht University, Utrecht, the Netherlands
| | | | - Valérie Garès
- Univ Rennes, INSA, CNRS, IRMAR - UMR 6625, F-35000 Rennes, France
| | - Emilie Burte
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | | | | | | | - Ole Hertel
- Dep. Env. Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | | | - Sergey Zhivin
- Unité "Cohortes en Population" UMS 011 Inserm/Université de Paris/Université Paris Saclay/UVSQ, Villejuif, France
| | - Jack Siemiatycki
- Centre de recherche du centre hospitalier de l'université de Montréal, Québec, Canada
| | - Marcel Goldberg
- Unité "Cohortes en Population" UMS 011 Inserm/Université de Paris/Université Paris Saclay/UVSQ, Villejuif, France
| | - Marie Zins
- Unité "Cohortes en Population" UMS 011 Inserm/Université de Paris/Université Paris Saclay/UVSQ, Villejuif, France
| | - Bénédicte Jacquemin
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
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8
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Tetzlaff F, Hoebel J, Epping J, Geyer S, Golpon H, Tetzlaff J. Time Trends and Income Inequalities in Cancer Incidence and Cancer-Free Life Expectancy - a Cancer Site-Specific Analysis of German Health Insurance Data. Front Oncol 2022; 12:827028. [PMID: 35494022 PMCID: PMC9046985 DOI: 10.3389/fonc.2022.827028] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 03/22/2022] [Indexed: 11/13/2022] Open
Abstract
Cancer represents a major burden of morbidity and mortality globally. So far, however, little is known on time trends and inequalities in the lengths of life spent free of any cancer. This study steps into this gap by analyzing time trends and income inequalities in cancer-free life expectancy (CFLE). For this retrospective cohort study, data of a large German health insurer were used (N = 3,405,673individuals, 2006-2018). Income inequalities were assessed using individual income (<60% of German average income (GAI) and ≥60% of GAI). Trends in incidence risks were analysed employing proportional-hazard regression models by splitting the observation time into three periods of 52 months. Trends in CFLE in total and for the most common site-specific cancers were calculated based on multiple decrement life tables. Incidence rates declined in almost all cancers and CFLE increased substantially over time (49.1 (95% CI 48.8-49.4) to 51.9 (95% CI 51.6-52.2) years for men, 53.1 (95% CI 52.7-53.5) to 55.4 (95% CI 55.1-55.8) years for women at age 20 for total cancer) and income groups. Considerable income inequalities in cancer risks were evident in both sexes, but were more pronounced in men (total cancer HR 0.86 (95% CI 0.85-0.87)), with higher-income individuals having lower risks. The highest income inequalities were found in colon (HR 0.90 (95% CI 0.87-0.93)), stomach (HR 0.78 (95% CI 0.73-0.84)), and lung cancer (HR 0.58 (95% CI 0.56-0.60)) in men. A reverse gradient was found for skin (HR 1.39 (95% CI 1.30-1.47) men; HR 1.27 (95% CI 1.20-1.35) women) and prostate cancer (HR 1.13 (95% CI 1.11-1.15)). The proportion of CFLE in total life expectancy declined for lung, skin and cervical cancer in women, indicating a relative shortening of lifetime spent cancer-free. In contrast, increasing proportions were found in breast and prostate cancer. To our knowledge, this is the first study analysing trends and income inequalities in CFLE. The life span free of cancer increased clearly over time. However, not all cancer types contributed equally to this positive development. Income inequalities persisted or tended to widen, which underlines the need for increased public health efforts in socioeconomically vulnerable groups.
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Affiliation(s)
- Fabian Tetzlaff
- Medical Sociology Unit, Hannover Medical School, Hanover, Germany
| | - Jens Hoebel
- Division of Social Determinants of Health, Robert Koch Institute, Berlin, Germany
| | - Jelena Epping
- Medical Sociology Unit, Hannover Medical School, Hanover, Germany
- Comprehensive Cancer Center Hannover, Hannover Medical School, Hanover, Germany
| | - Siegfried Geyer
- Medical Sociology Unit, Hannover Medical School, Hanover, Germany
- Comprehensive Cancer Center Hannover, Hannover Medical School, Hanover, Germany
| | - Heiko Golpon
- Comprehensive Cancer Center Hannover, Hannover Medical School, Hanover, Germany
- Department of Pneumology, Hannover Medical School, Hanover, Germany
| | - Juliane Tetzlaff
- Medical Sociology Unit, Hannover Medical School, Hanover, Germany
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9
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Harari-Kremer R, Calderon-Margalit R, Korevaar TIM, Nevo D, Broday D, Kloog I, Grotto I, Karakis I, Shtein A, Haim A, Raz R. Associations Between Prenatal Exposure to Air Pollution and Congenital Hypothyroidism. Am J Epidemiol 2021; 190:2630-2638. [PMID: 34180983 DOI: 10.1093/aje/kwab187] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 06/14/2021] [Accepted: 06/23/2021] [Indexed: 12/27/2022] Open
Abstract
Adequate thyroid hormone availability is required for normal brain development. Studies have found associations between prenatal exposure to air pollutants and thyroid hormones in pregnant women and newborns. We aimed to examine associations of trimester-specific residential exposure to common air pollutants with congenital hypothyroidism (CHT). All term infants born in Israel during 2009-2015 were eligible for inclusion. We used data on CHT from the national neonatal screening lab of Israel, and exposure data from spatiotemporal air pollution models. We used multivariable logistic regression models to estimate associations of exposures with CHT, adjusting for ethnicity, socioeconomic status, geographical area, conception season, conception year, gestational age, birth weight, and child sex. To assess residual confounding, we used postnatal exposures to the same pollutants as negative controls. The study population included 696,461 neonates. We found a positive association between third-trimester nitrogen oxide exposure and CHT (per interquartile-range change, odds ratio = 1.23, 95% confidence interval: 1.08, 1.41) and a similar association for nitrogen dioxide. There was no evidence of residual confounding or bias by correlation among exposure periods for these associations.
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10
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Cohen G, Steinberg DM, Keinan-Boker L, Yuval, Levy I, Chen S, Shafran-Nathan R, Levin N, Shimony T, Witberg G, Bental T, Shohat T, Broday DM, Kornowski R, Gerber Y. Preexisting coronary heart disease and susceptibility to long-term effects of traffic-related air pollution: A matched cohort analysis. Eur J Prev Cardiol 2020; 28:2047487320921987. [PMID: 32389024 DOI: 10.1177/2047487320921987] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Individuals with coronary heart disease are considered susceptible to traffic-related air pollution exposure. Yet, cohort-based evidence on whether preexisting coronary heart disease modifies the association of traffic-related air pollution with health outcomes is lacking. AIM Using data of four Israeli cohorts, we compared associations of traffic-related air pollution with mortality and cancer between coronary heart disease patients and matched controls from the general population. METHODS Subjects hospitalized with acute coronary syndrome from two patient cohorts (inception years: 1992-1993 and 2006-2014) were age- and sex-matched to coronary heart disease-free participants of two cycles of the Israeli National Health and Nutrition Surveys (inception years: 1999-2001 and 2005-2006). Ambient concentrations of nitrogen oxides at the residential place served as a proxy for traffic-related air pollution exposure across all cohorts, based on a high-resolution national land use regression model (50 m). Data on all-cause mortality (last update: 2018) and cancer incidence (last update: 2016) were retrieved from national registries. Cox-derived stratum-specific hazard ratios with 95% confidence intervals were calculated, adjusted for harmonized covariates across cohorts, including age, sex, ethnicity, neighborhood socioeconomic status, smoking, diabetes, hypertension, prior stroke and prior malignancy (the latter only in the mortality analysis). Effect-modification was examined by testing nitrogen oxides-by-coronary heart disease interaction term in the entire matched cohort. RESULTS The cohort (mean (standard deviation) age 61.5 (14) years; 44% women) included 2393 matched pairs, among them 2040 were cancer-free at baseline. During a median (25th-75th percentiles) follow-up of 13 (10-19) and 11 (7-17) years, 1458 deaths and 536 new cancer cases were identified, respectively. In multivariable-adjusted models, a 10-parts per billion nitrogen oxides increment was positively associated with all-cause mortality among coronary heart disease patients (hazard ratio = 1.13, 95% confidence interval 1.05-1.22), but not among controls (hazard ratio = 1.00, 0.93-1.08) (pinteraction = 0.003). A similar pattern was seen for all-cancer incidence (hazard ratioCHD = 1.19 (1.03-1.37), hazard ratioCHD-Free = 0.93 (0.84-1.04) (pinteraction = 0.01)). Associations were robust to multiple sensitivity analyses. CONCLUSIONS Coronary heart disease patients might be at increased risk for traffic-related air pollution-associated mortality and cancer, irrespective of their age and sex. Patients and clinicians should be more aware of the adverse health effects on coronary heart disease patients of chronic exposure to vehicle emissions.
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Affiliation(s)
- Gali Cohen
- Department of Epidemiology and Preventive Medicine, Tel Aviv University, Israel
- Stanley Steyer Institute for Cancer Epidemiology and Research, Tel Aviv University, Israel
| | - David M Steinberg
- Department of Statistics and Operations Research, Tel Aviv University, Israel
| | - Lital Keinan-Boker
- Israel Center for Disease Control, Israel Ministry of Health, Israel
- School of Public Health, University of Haifa, Israel
| | - Yuval
- Technion Center of Excellence in Exposure Science and Environmental Health, Technion Israel Institute of Technology, Israel
| | - Ilan Levy
- Technion Center of Excellence in Exposure Science and Environmental Health, Technion Israel Institute of Technology, Israel
| | - Shimon Chen
- Technion Center of Excellence in Exposure Science and Environmental Health, Technion Israel Institute of Technology, Israel
| | - Rakefet Shafran-Nathan
- Technion Center of Excellence in Exposure Science and Environmental Health, Technion Israel Institute of Technology, Israel
| | - Noam Levin
- Department of Geography, Hebrew University of Jerusalem, Israel
- Remote Sensing Research Centre, School of Earth and Environmental Sciences, The University of Queensland, Australia
| | - Tal Shimony
- Israel Center for Disease Control, Israel Ministry of Health, Israel
| | - Guy Witberg
- Remote Sensing Research Centre, School of Earth and Environmental Sciences, The University of Queensland, Australia
- Department of Cardiology, Rabin Medical Center (Beilinson and Hasharon Hospitals), Israel
| | - Tamir Bental
- Remote Sensing Research Centre, School of Earth and Environmental Sciences, The University of Queensland, Australia
| | - Tamar Shohat
- Department of Epidemiology and Preventive Medicine, Tel Aviv University, Israel
| | - David M Broday
- Technion Center of Excellence in Exposure Science and Environmental Health, Technion Israel Institute of Technology, Israel
| | - Ran Kornowski
- Remote Sensing Research Centre, School of Earth and Environmental Sciences, The University of Queensland, Australia
- Deptartment of Cardiovascular Medicine, Sackler Faculty of Medicine, Tel Aviv University, Israel
| | - Yariv Gerber
- Department of Epidemiology and Preventive Medicine, Tel Aviv University, Israel
- Stanley Steyer Institute for Cancer Epidemiology and Research, Tel Aviv University, Israel
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11
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Giraudeau M, Watson H, Powell D, Vincze O, Thomas F, Sepp T, Ujvari B, Le Loc'h G, Isaksson C. Will urbanisation affect the expression level of genes related to cancer of wild great tits? THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 714:135793. [PMID: 32018940 DOI: 10.1016/j.scitotenv.2019.135793] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 11/25/2019] [Accepted: 11/25/2019] [Indexed: 06/10/2023]
Abstract
Recent studies suggest that oncogenic processes (from precancerous lesions to metastatic cancers) are widespread in wild animal species, but their importance for ecosystem functioning is still underestimated by evolutionary biologists and animal ecologists. Similar to what has been observed in humans, environmental modifications that often place wild organisms into an evolutionary trap and/or exposes them to a cocktail of mutagenic and carcinogenic pollutants might favor cancer emergence and progression, if animals do not up-regulate their defenses against these pathologies. Here, we compared, for the first time, the expression of 59 tumor-suppressor genes in blood and liver tissues of urban and rural great tits (Parus major); urban conditions being known to favor cancer progression due to, among other things, exposure to chemical or light pollution. Contrary to earlier indications, once we aligned the transcriptome to the great tit genome, we found negligible differences in the expression of anti-cancer defenses between urban and rural birds in blood and liver. Our results indicate the higher expression of a single caretaker gene (i.e. BRCA1) in livers of rural compared to urban birds. We conclude that, while urban birds might be exposed to an environment favoring the development of oncogenic processes, they seem to not upregulate their cancer defenses accordingly and future studies should confirm this result by assessing more markers of cancer defenses. This may result in a mismatch that might predispose urban birds to higher cancer risk and future studies in urban ecology should take into account this, so far completely ignored, hazard.
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Affiliation(s)
- Mathieu Giraudeau
- Centre de Recherche en Écologie et Évolution de la Santé (CREES), Montpellier, France; CREEC/MIVEGEC (CNRS - IRD - Université de Montpellier), France.
| | - Hannah Watson
- Department of Biology, Lund University, SE-223 62 Lund, Sweden
| | - Daniel Powell
- Department of Biology, Lund University, SE-223 62 Lund, Sweden
| | - Orsolya Vincze
- Hungarian Department of Biology and Ecology, Evolutionary Ecology Group, Babeş-Bolyai University, Cluj-Napoca, Romania; Department of Tisza Research, MTA Centre for Ecological Research, Debrecen, Hungary
| | - Frederic Thomas
- Centre de Recherche en Écologie et Évolution de la Santé (CREES), Montpellier, France; CREEC/MIVEGEC (CNRS - IRD - Université de Montpellier), France
| | - Tuul Sepp
- Institute of Ecology and Earth Sciences, University of Tartu, Vanemuise 46, 51014 Tartu, Estonia
| | - Beata Ujvari
- Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Waurn Ponds, Australia
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