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Katabami T, Eriksen KT, Yamamoto Y, Ishigaki Y. Long-Term Safety and Clinical Outcomes with Insulin Degludec/Insulin Aspart Treatment in Japanese Patients with Diabetes: A Real-World, Prospective, Observational Study. Adv Ther 2022; 39:544-561. [PMID: 34800283 PMCID: PMC8799571 DOI: 10.1007/s12325-021-01978-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 10/21/2021] [Indexed: 11/21/2022]
Abstract
Introduction Insulin degludec/insulin aspart (IDegAsp) provides effective glycaemic control with an acceptable safety profile in Japanese patients with diabetes in randomised clinical trials. This post-marketing surveillance study assessed long-term safety and clinical outcomes with IDegAsp in a Japanese real-world setting. Methods Multicentre, prospective, observational, open-label, single-arm study of Japanese patients with diabetes requiring insulin therapy, who had switched to IDegAsp at their treating physician’s discretion in clinical practice. One year after initiating IDegAsp, incidence of adverse events (AEs [primary endpoint]), serious AEs, adverse drug reactions (ADRs), and severe hypoglycaemia (secondary safety endpoints) were assessed in the safety analysis set (SAS). Secondary effectiveness endpoints were change from baseline in glycated haemoglobin (HbA1c) and fasting plasma glucose (FPG) in the effectiveness analysis set (EAS). Results Overall, 1321 patients were included (SAS, n = 1321; EAS, n = 1285); 4.2% with type 1 diabetes, 95.2% with type 2 diabetes, 0.7% with other/unknown diabetes type. In total, 204 AEs were reported in 132 patients (10.0% of the SAS), at a rate [95% confidence interval (CI)] of 16.2 events/100 patient-years of exposure (PYE) [14.0; 18.4]. By preferred term, ‘hypoglycaemia’ was the most frequent AE (45 events in 31 patients [2.3%]; rate [95% CI] 3.6 events/100 PYE [2.5; 4.6]). Serious AEs occurred in 4.2% of patients (rate [95% CI] 5.7 events/100 PYE [4.4; 7.0]), and ADRs in 3.1% (rate [95% CI] 4.6 reactions/100 PYE [3.4; 5.8]). Six events of severe hypoglycaemia were reported in five patients (0.4%; rate [95% CI] 0.5 events/100 PYE [0.1; 0.9]). Change from baseline to 1 year was − 0.51% and − 32.1 mg/dL for HbA1c and FPG, respectively (P < 0.0001 for both). Conclusion In Japanese patients with diabetes, initiation of IDegAsp in real-world clinical practice was well tolerated, with no new safety signals, and associated with improved glycaemic control after 1 year.
Trial Registration ClinicalTrials.gov identifier, NCT02821052. Supplementary Information The online version contains supplementary material available at 10.1007/s12325-021-01978-2.
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Mosenzon O, Alguwaihes A, Leon JLA, Bayram F, Darmon P, Davis TME, Dieuzeide G, Eriksen KT, Hong T, Kaltoft MS, Lengyel C, Rhee NA, Russo GT, Shirabe S, Urbancova K, Vencio S. CAPTURE: a multinational, cross-sectional study of cardiovascular disease prevalence in adults with type 2 diabetes across 13 countries. Cardiovasc Diabetol 2021; 20:154. [PMID: 34315481 PMCID: PMC8317423 DOI: 10.1186/s12933-021-01344-0] [Citation(s) in RCA: 87] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 07/12/2021] [Indexed: 12/15/2022] Open
Abstract
Background There is a paucity of global data on cardiovascular disease (CVD) prevalence in people with type 2 diabetes (T2D). The primary objective of the CAPTURE study was to estimate the prevalence of established CVD and its management in adults with T2D across 13 countries from five continents. Additional objectives were to further characterize the study sample regarding demographics, clinical parameters and medication usage, with particular reference to blood glucose-lowering agents (GLAs: glucagon-like peptide-1 receptor agonists and sodium-glucose co-transporter-2 inhibitors) with demonstrated cardiovascular benefit in randomized intervention trials. Methods Data were collected from adults with T2D managed in primary or specialist care in Australia, China, Japan, Czech Republic, France, Hungary, Italy, Argentina, Brazil, Mexico, Israel, Kingdom of Saudi Arabia, and Turkey in 2019, using standardized methodology. CVD prevalence, weighted by diabetes prevalence in each country, was estimated for the overall CAPTURE sample and participating countries. Country-specific odds ratios for CVD prevalence were further adjusted for relevant demographic and clinical parameters. Results The overall CAPTURE sample included 9823 adults with T2D (n = 4502 from primary care; n = 5321 from specialist care). The overall CAPTURE sample had median (interquartile range) diabetes duration 10.7 years (5.6–17.9 years) and glycated hemoglobin 7.3% (6.6–8.4%) [56 mmol/mol (49–68 mmol/mol)]. Overall weighted CVD and atherosclerotic CVD prevalence estimates were 34.8% (95% confidence interval [CI] 32.7–36.8) and 31.8% (95% CI 29.7–33.8%), respectively. Age, gender, and clinical parameters accounted for some of the between-country variation in CVD prevalence. GLAs with demonstrated cardiovascular benefit were used by 21.9% of participants, which was similar in participants with and without CVD: 21.5% and 22.2%, respectively. Conclusions In 2019, approximately one in three adults with T2D in CAPTURE had diagnosed CVD. The low use of GLAs with demonstrated cardiovascular benefit even in participants with established CVD suggested that most were not managed according to contemporary diabetes and cardiology guidelines. Study registration NCT03786406 (registered on December 20, 2018), NCT03811288 (registered on January 18, 2019). Supplementary Information The online version contains supplementary material available at 10.1186/s12933-021-01344-0.
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Affiliation(s)
- Ofri Mosenzon
- Diabetes Unit, Department of Endocrinology and Metabolism, Hadassah Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Hadassah Hebrew University Hospital, PO Box 12000, 91120, Jerusalem, Israel.
| | - Abdullah Alguwaihes
- King Saud University, King Saud University Medical City, Riyadh, Kingdom of Saudi Arabia
| | - Jose Luis Arenas Leon
- Centro de Atención E Investigación Cardiovascular del Potosí, San Luis Potosí, Mexico
| | - Fahri Bayram
- Department of Endocrinology and Metabolism, Faculty of Medicine, Erciyes University, Kayseri, Turkey
| | - Patrice Darmon
- Aix Marseille University, INSERM, INRA, C2VN, Marseille, France
| | - Timothy M E Davis
- Medical School, University of Western Australia, Fremantle Hospital, Fremantle, Australia
| | - Guillermo Dieuzeide
- Centro de Atención Integral en Diabetes, Endocrinología Y Metabolismo, Chacabuco, Buenos Aires, Argentina
| | | | - Tianpei Hong
- Department of Endocrinology and Metabolism, Peking University Third Hospital, Beijing, China
| | | | | | | | - Giuseppina T Russo
- Department of Clinical and Experimental Medicine, Policlinico Universitario, University of Messina, Messina, Italy
| | | | | | - Sergio Vencio
- Instituto de Ciencias Farmaceuticas, Goiânia, Goiás, Brazil
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Haase CL, Eriksen KT, Lopes S, Satylganova A, Schnecke V, McEwan P. Body mass index and risk of obesity-related conditions in a cohort of 2.9 million people: Evidence from a UK primary care database. Obes Sci Pract 2020; 7:137-147. [PMID: 33841883 PMCID: PMC8019280 DOI: 10.1002/osp4.474] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 11/12/2020] [Accepted: 11/28/2020] [Indexed: 11/08/2022] Open
Abstract
Objective Obesity rates in the United Kingdom are some of the highest in Western Europe, with considerable clinical and societal impacts. Obesity is associated with type 2 diabetes (T2D), osteoarthritis, cardiovascular disease, and increased mortality; however, relatively few studies have examined the occurrence of multiple obesity‐related outcomes in the same patient population. This study was designed to examine the associations between body mass index (BMI) and a broad range of obesity‐related conditions in the same large cohort from a UK‐representative primary care database. Methods Demographic data and diagnosis codes were extracted from the Clinical Practice Research Datalink GOLD database in January 2019. Adults registered for ≥ 3 years were grouped by BMI, with BMI 18.5–24.9 kg/m2 as reference group. Associations between BMI and 12 obesity‐related outcomes were estimated using Cox proportional hazard models, adjusted for age, sex, and smoking. Results More than 2.9 million individuals were included in the analyses and were followed up for occurrence of relevant outcomes for a median of 11.4 years during the study period. Generally, there was a stepwise increase in risk of all outcomes with higher BMI. Individuals with BMI 40.0–45.0 kg/m2 were at particularly high risk of sleep apnea (hazard ratio [95% confidence interval] vs. reference group: 19.8 [18.9–20.8]), T2D (12.4 [12.1–12.7]), heart failure (3.46 [3.35–3.57]), and hypertension (3.21 [3.15–3.26]). Conclusions This study substantiates evidence linking higher BMI to higher risk of a range of serious health conditions, in a large, representative UK cohort. By focusing on obesity‐related conditions, this demonstrates the wider clinical impact and the healthcare burden of obesity, and highlights the vital importance of management, treatment approaches, and public health programs to mitigate the impact of this disease.
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Affiliation(s)
| | | | | | | | | | - Phil McEwan
- Health Economics and Outcomes Research Ltd Cardiff UK
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Andersen ZJ, Pedersen M, Weinmayr G, Stafoggia M, Galassi C, Jørgensen JT, Sommar JN, Forsberg B, Olsson D, Oftedal B, Aasvang GM, Schwarze P, Pyko A, Pershagen G, Korek M, Faire UD, Östenson CG, Fratiglioni L, Eriksen KT, Poulsen AH, Tjønneland A, Bräuner EV, Peeters PH, Bueno-de-Mesquita B, Jaensch A, Nagel G, Lang A, Wang M, Tsai MY, Grioni S, Marcon A, Krogh V, Ricceri F, Sacerdote C, Migliore E, Vermeulen R, Sokhi R, Keuken M, de Hoogh K, Beelen R, Vineis P, Cesaroni G, Brunekreef B, Hoek G, Raaschou-Nielsen O. Long-term exposure to ambient air pollution and incidence of brain tumor: the European Study of Cohorts for Air Pollution Effects (ESCAPE). Neuro Oncol 2019; 20:420-432. [PMID: 29016987 PMCID: PMC5817954 DOI: 10.1093/neuonc/nox163] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Background Epidemiological evidence on the association between ambient air pollution and brain tumor risk is sparse and inconsistent. Methods In 12 cohorts from 6 European countries, individual estimates of annual mean air pollution levels at the baseline residence were estimated by standardized land-use regression models developed within the ESCAPE and TRANSPHORM projects: particulate matter (PM) ≤2.5, ≤10, and 2.5–10 μm in diameter (PM2.5, PM10, and PMcoarse), PM2.5 absorbance, nitrogen oxides (NO2 and NOx) and elemental composition of PM. We estimated cohort-specific associations of air pollutant concentrations and traffic intensity with total, malignant, and nonmalignant brain tumor, in separate Cox regression models, adjusting for risk factors, and pooled cohort-specific estimates using random-effects meta-analyses. Results Of 282194 subjects from 12 cohorts, 466 developed malignant brain tumors during 12 years of follow-up. Six of the cohorts also had data on nonmalignant brain tumor, where among 106786 subjects, 366 developed brain tumor: 176 nonmalignant and 190 malignant. We found a positive, statistically nonsignificant association between malignant brain tumor and PM2.5 absorbance (hazard ratio and 95% CI: 1.67; 0.89–3.14 per 10–5/m3), and weak positive or null associations with the other pollutants. Hazard ratio for PM2.5 absorbance (1.01; 0.38–2.71 per 10–5/m3) and all other pollutants were lower for nonmalignant than for malignant brain tumors. Conclusion We found suggestive evidence of an association between long-term exposure to PM2.5 absorbance indicating traffic-related air pollution and malignant brain tumors, and no association with overall or nonmalignant brain tumors.
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Affiliation(s)
- Zorana J Andersen
- Center for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Marie Pedersen
- Center for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit ASL RM1, Rome, Italy.,Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Claudia Galassi
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Jeanette T Jørgensen
- Center for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Johan N Sommar
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Bertil Forsberg
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - David Olsson
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | | | - Per Schwarze
- Norwegian Institute of Public Health, Oslo, Norway
| | - Andrei Pyko
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Michal Korek
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.,Netherlands Organization for Applied Scientific Research, Utrecht, Netherlands
| | - Ulf De Faire
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Claes-Göran Östenson
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology Care Science and Society, Karolinska Institute, Stockholm, Sweden
| | - Kirsten T Eriksen
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Aslak H Poulsen
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Anne Tjønneland
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Elvira Vaclavik Bräuner
- Department of Occupational and Environmental Medicine, Bispebjerg-Frederiksberg Hospital, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Biomarkers and Clinical Resreach in Eating Disorders, Ballerup Center for Mental Health Services, Capitol Region of Denmark, Rigshospitalt- Ballerup, Denmark
| | - Petra H Peeters
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Netherlands.,MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - Bas Bueno-de-Mesquita
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK.,Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment, Bilthoven, Netherlands.,Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Andrea Jaensch
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.,Vorarlberg Cancer Registry, Bregenz, Austria
| | - Alois Lang
- Vorarlberg Cancer Registry, Bregenz, Austria
| | - Meng Wang
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.,Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Ming-Yi Tsai
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.,Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland
| | - Sara Grioni
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessandro Marcon
- Unit of Epidemiology & Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Fulvio Ricceri
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy.,Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Enrica Migliore
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Roel Vermeulen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Netherlands.,MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK.,Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Ranjeet Sokhi
- Centre for Atmospheric and Instrumentation Research, University of Hertfordshire, College Lane, Hatfield, UK
| | - Menno Keuken
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.,Netherlands Organization for Applied Scientific Research, Utrecht, Netherlands
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Rob Beelen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.,National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK.,Molecular end Epidemiology Unit, HuGeF, Human Genetics Foundation, Torino, Italy
| | - Giulia Cesaroni
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit ASL RM1, Rome, Italy
| | - Bert Brunekreef
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Netherlands.,Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Ole Raaschou-Nielsen
- The Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Environmental Science, Aarhus University, Roskilde, Denmark
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5
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Pedersen M, Stafoggia M, Weinmayr G, Andersen ZJ, Galassi C, Sommar J, Forsberg B, Olsson D, Oftedal B, Krog NH, Aamodt G, Pyko A, Pershagen G, Korek M, De Faire U, Pedersen NL, Östenson CG, Fratiglioni L, Sørensen M, Eriksen KT, Tjønneland A, Peeters PH, Bueno-de-Mesquita B, Vermeulen R, Eeftens M, Plusquin M, Key TJ, Jaensch A, Nagel G, Concin H, Wang M, Tsai MY, Grioni S, Marcon A, Krogh V, Ricceri F, Sacerdote C, Ranzi A, Cesaroni G, Forastiere F, Tamayo I, Amiano P, Dorronsoro M, Stayner LT, Kogevinas M, Nieuwenhuijsen MJ, Sokhi R, de Hoogh K, Beelen R, Vineis P, Brunekreef B, Hoek G, Raaschou-Nielsen O. Is There an Association Between Ambient Air Pollution and Bladder Cancer Incidence? Analysis of 15 European Cohorts. Eur Urol Focus 2018; 4:113-120. [PMID: 28753823 DOI: 10.1016/j.euf.2016.11.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2016] [Revised: 11/01/2016] [Accepted: 11/16/2016] [Indexed: 01/08/2023]
Abstract
BACKGROUND Ambient air pollution contains low concentrations of carcinogens implicated in the etiology of urinary bladder cancer (BC). Little is known about whether exposure to air pollution influences BC in the general population. OBJECTIVE To evaluate the association between long-term exposure to ambient air pollution and BC incidence. DESIGN, SETTING, AND PARTICIPANTS We obtained data from 15 population-based cohorts enrolled between 1985 and 2005 in eight European countries (N=303431; mean follow-up 14.1 yr). We estimated exposure to nitrogen oxides (NO2 and NOx), particulate matter (PM) with diameter <10μm (PM10), <2.5μm (PM2.5), between 2.5 and 10μm (PM2.5-10), PM2.5absorbance (soot), elemental constituents of PM, organic carbon, and traffic density at baseline home addresses using standardized land-use regression models from the European Study of Cohorts for Air Pollution Effects project. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS We used Cox proportional-hazards models with adjustment for potential confounders for cohort-specific analyses and meta-analyses to estimate summary hazard ratios (HRs) for BC incidence. RESULTS AND LIMITATIONS During follow-up, 943 incident BC cases were diagnosed. In the meta-analysis, none of the exposures were associated with BC risk. The summary HRs associated with a 10-μg/m3 increase in NO2 and 5-μg/m3 increase in PM2.5 were 0.98 (95% confidence interval [CI] 0.89-1.08) and 0.86 (95% CI 0.63-1.18), respectively. Limitations include the lack of information about lifetime exposure. CONCLUSIONS There was no evidence of an association between exposure to outdoor air pollution levels at place of residence and risk of BC. PATIENT SUMMARY We assessed the link between outdoor air pollution at place of residence and bladder cancer using the largest study population to date and extensive assessment of exposure and comprehensive data on personal risk factors such as smoking. We found no association between the levels of outdoor air pollution at place of residence and bladder cancer risk.
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Affiliation(s)
- Marie Pedersen
- The Danish Cancer Society Research Center, Copenhagen, Denmark; Centre for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy; Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Zorana J Andersen
- Centre for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Claudia Galassi
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University Hospital and Center for Cancer Prevention, Turin, Italy
| | - Johan Sommar
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umea University, Umea, Sweden
| | - Bertil Forsberg
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umea University, Umea, Sweden
| | - David Olsson
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umea University, Umea, Sweden
| | | | - Norun H Krog
- Norwegian Institute of Public Health, Oslo, Norway
| | - Geir Aamodt
- Department of Landscape Architecture and Spatial Planning, Norwegian University of Life Sciences, Ås, Norway
| | - Andrei Pyko
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Michal Korek
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Ulf De Faire
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Claes-Göran Östenson
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology Care Science and Society, Karolinska Institute, Stockholm, Sweden
| | - Mette Sørensen
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Anne Tjønneland
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Petra H Peeters
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands; MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - Bas Bueno-de-Mesquita
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK; Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment, Bilthoven, The Netherlands; Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Roel Vermeulen
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK; Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marloes Eeftens
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Michelle Plusquin
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Andrea Jaensch
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Gabriele Nagel
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden; Agency for Preventive and Social Medicine, Bregenz, Austria
| | - Hans Concin
- Agency for Preventive and Social Medicine, Bregenz, Austria
| | - Meng Wang
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Ming-Yi Tsai
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Sara Grioni
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessandro Marcon
- Unit of Epidemiology & Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Fulvio Ricceri
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany; Unit of Epidemiology, Regional Health Service, Grugliasco, Italy
| | - Carlotta Sacerdote
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Andrea Ranzi
- Environmental Health Reference Centre, Regional Agency for Environmental Prevention of Emilia-Romagna, Modena, Italy
| | - Giulia Cesaroni
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | | | - Ibon Tamayo
- Institute de Salut Global Barcelona, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Spain
| | - Pilar Amiano
- Public Health Department of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain; Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
| | - Miren Dorronsoro
- Public Health Department of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain; Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
| | - Leslie T Stayner
- Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, USA
| | - Manolis Kogevinas
- Institute de Salut Global Barcelona, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Mark J Nieuwenhuijsen
- Institute de Salut Global Barcelona, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Ranjeet Sokhi
- Centre for Atmospheric and Instrumentation Research, University of Hertfordshire, Hatfield, UK
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Rob Beelen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands; National Institute for Public Health (RIVM), Bilthoven, The Netherlands
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK; Molecular and Epidemiology Unit, Human Genetics Foundation, Turin, Italy
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Ole Raaschou-Nielsen
- The Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
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6
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Andersen ZJ, Stafoggia M, Weinmayr G, Pedersen M, Galassi C, Jørgensen JT, Oudin A, Forsberg B, Olsson D, Oftedal B, Aasvang GM, Aamodt G, Pyko A, Pershagen G, Korek M, De Faire U, Pedersen NL, Östenson CG, Fratiglioni L, Eriksen KT, Tjønneland A, Peeters PH, Bueno-de-Mesquita B, Plusquin M, Key TJ, Jaensch A, Nagel G, Lang A, Wang M, Tsai MY, Fournier A, Boutron-Ruault MC, Baglietto L, Grioni S, Marcon A, Krogh V, Ricceri F, Sacerdote C, Migliore E, Tamayo-Uria I, Amiano P, Dorronsoro M, Vermeulen R, Sokhi R, Keuken M, de Hoogh K, Beelen R, Vineis P, Cesaroni G, Brunekreef B, Hoek G, Raaschou-Nielsen O. Long-Term Exposure to Ambient Air Pollution and Incidence of Postmenopausal Breast Cancer in 15 European Cohorts within the ESCAPE Project. Environ Health Perspect 2017; 125:107005. [PMID: 29033383 PMCID: PMC5933325 DOI: 10.1289/ehp1742] [Citation(s) in RCA: 87] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 08/04/2017] [Accepted: 08/12/2017] [Indexed: 05/23/2023]
Abstract
BACKGROUND Epidemiological evidence on the association between ambient air pollution and breast cancer risk is inconsistent. OBJECTIVE We examined the association between long-term exposure to ambient air pollution and incidence of postmenopausal breast cancer in European women. METHODS In 15 cohorts from nine European countries, individual estimates of air pollution levels at the residence were estimated by standardized land-use regression models developed within the European Study of Cohorts for Air Pollution Effects (ESCAPE) and Transport related Air Pollution and Health impacts – Integrated Methodologies for Assessing Particulate Matter (TRANSPHORM) projects: particulate matter (PM) ≤2.5μm, ≤10μm, and 2.5–10μm in diameter (PM2.5, PM10, and PMcoarse, respectively); PM2.5 absorbance; nitrogen oxides (NO2 and NOx); traffic intensity; and elemental composition of PM. We estimated cohort-specific associations between breast cancer and air pollutants using Cox regression models, adjusting for major lifestyle risk factors, and pooled cohort-specific estimates using random-effects meta-analyses. RESULTS Of 74,750 postmenopausal women included in the study, 3,612 developed breast cancer during 991,353 person-years of follow-up. We found positive and statistically insignificant associations between breast cancer and PM2.5 {hazard ratio (HR)=1.08 [95% confidence interval (CI): 0.77, 1.51] per 5 μg/m3}, PM10 [1.07 (95% CI: 0.89, 1.30) per 10 μg/m3], PMcoarse[1.20 (95% CI: 0.96, 1.49 per 5 μg/m3], and NO2 [1.02 (95% CI: 0.98, 1.07 per 10 μg/m3], and a statistically significant association with NOx [1.04 (95% CI: 1.00, 1.08) per 20 μg/m3, p=0.04]. CONCLUSIONS We found suggestive evidence of an association between ambient air pollution and incidence of postmenopausal breast cancer in European women. https://doi.org/10.1289/EHP1742.
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Affiliation(s)
- Zorana J Andersen
- Centre for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit Azienda Sanitaria Locale Roma 1 (ASL RM1), Rome, Italy
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Marie Pedersen
- Centre for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Claudia Galassi
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Jeanette T Jørgensen
- Centre for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Anna Oudin
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Bertil Forsberg
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - David Olsson
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | | | - Geir Aamodt
- Norwegian Institute of Public Health, Oslo, Norway
| | - Andrei Pyko
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Michal Korek
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Ulf De Faire
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Claes-Göran Östenson
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology Care Science and Society, Karolinska Institute, Stockholm, Sweden
| | | | - Anne Tjønneland
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Petra H Peeters
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - Bas Bueno-de-Mesquita
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Michelle Plusquin
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Andrea Jaensch
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
- Agency for Preventive and Social Medicine, Bregenz, Austria
| | - Alois Lang
- Vorarlberg Cancer Registry, Agency for Preventive and Social Medicine (aks, Bregenz, Austria
| | - Meng Wang
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
| | - Ming-Yi Tsai
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Agnes Fournier
- Centre de recherche en Épidémiologie et Santé des Populations (CESP) "Health across Generations", Institut national de la santé et de la recherche médicale (Inserm), Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Marie-Christine Boutron-Ruault
- Centre de recherche en Épidémiologie et Santé des Populations (CESP) "Health across Generations", Institut national de la santé et de la recherche médicale (Inserm), Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Laura Baglietto
- Centre de recherche en Épidémiologie et Santé des Populations (CESP) "Health across Generations", Institut national de la santé et de la recherche médicale (Inserm), Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Sara Grioni
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione Istituto di ricovero e cura a carattere scientifico (IRCCS) Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessandro Marcon
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione Istituto di ricovero e cura a carattere scientifico (IRCCS) Istituto Nazionale dei Tumori, Milan, Italy
| | - Fulvio Ricceri
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
- Unit of Epidemiology, Regional Health Service Azienda Sanitaria Locale Torino 3 (ASL TO3), Grugliasco, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Enrica Migliore
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Ibon Tamayo-Uria
- ISGlobal Institute de Salut Global Barcelona, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain
- Public Health Department of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - Miren Dorronsoro
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain
- Public Health Department of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - Roel Vermeulen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Ranjeet Sokhi
- Centre for Atmospheric and Instrumentation Research, University of Hertfordshire, Hatfield, UK
| | - Menno Keuken
- Netherlands Organization for Applied Scientific Research, Utrecht, Netherlands
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Rob Beelen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
- National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
- Molecular and Epidemiology Unit, Human Genetics Foundation (HuGeF), Torino, Italy
| | - Giulia Cesaroni
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit Azienda Sanitaria Locale Roma 1 (ASL RM1), Rome, Italy
| | - Bert Brunekreef
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain
| | - Gerard Hoek
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Ole Raaschou-Nielsen
- The Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
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7
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Raaschou-Nielsen O, Pedersen M, Stafoggia M, Weinmayr G, Andersen ZJ, Galassi C, Sommar J, Forsberg B, Olsson D, Oftedal B, Krog NH, Aasvang GM, Pyko A, Pershagen G, Korek M, De Faire U, Pedersen NL, Östenson CG, Fratiglioni L, Sørensen M, Eriksen KT, Tjønneland A, Peeters PH, Bueno-de-Mesquita HBA, Plusquin M, Key TJ, Jaensch A, Nagel G, Föger B, Wang M, Tsai MY, Grioni S, Marcon A, Krogh V, Ricceri F, Sacerdote C, Migliore E, Tamayo I, Amiano P, Dorronsoro M, Sokhi R, Kooter I, de Hoogh K, Beelen R, Eeftens M, Vermeulen R, Vineis P, Brunekreef B, Hoek G. Outdoor air pollution and risk for kidney parenchyma cancer in 14 European cohorts. Int J Cancer 2017; 140:1528-1537. [PMID: 28006861 DOI: 10.1002/ijc.30587] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Revised: 11/21/2016] [Accepted: 12/08/2016] [Indexed: 01/20/2023]
Abstract
Several studies have indicated weakly increased risk for kidney cancer among occupational groups exposed to gasoline vapors, engine exhaust, polycyclic aromatic hydrocarbons and other air pollutants, although not consistently. It was the aim to investigate possible associations between outdoor air pollution at the residence and the incidence of kidney parenchyma cancer in the general population. We used data from 14 European cohorts from the ESCAPE study. We geocoded and assessed air pollution concentrations at baseline addresses by land-use regression models for particulate matter (PM10 , PM2.5 , PMcoarse , PM2.5 absorbance (soot)) and nitrogen oxides (NO2 , NOx ), and collected data on traffic. We used Cox regression models with adjustment for potential confounders for cohort-specific analyses and random effects models for meta-analyses to calculate summary hazard ratios (HRs). The 289,002 cohort members contributed 4,111,908 person-years at risk. During follow-up (mean 14.2 years) 697 incident cancers of the kidney parenchyma were diagnosed. The meta-analyses showed higher HRs in association with higher PM concentration, e.g. HR = 1.57 (95%CI: 0.81-3.01) per 5 μg/m3 PM2.5 and HR = 1.36 (95%CI: 0.84-2.19) per 10-5 m-1 PM2.5 absorbance, albeit never statistically significant. The HRs in association with nitrogen oxides and traffic density on the nearest street were slightly above one. Sensitivity analyses among participants who did not change residence during follow-up showed stronger associations, but none were statistically significant. Our study provides suggestive evidence that exposure to outdoor PM at the residence may be associated with higher risk for kidney parenchyma cancer; the results should be interpreted cautiously as associations may be due to chance.
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Affiliation(s)
- Ole Raaschou-Nielsen
- The Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Marie Pedersen
- The Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, Centre for Epidemiology and Screening, University of Copenhagen, Copenhagen, Denmark
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit ASL RM1, Rome, Italy
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Zorana J Andersen
- Department of Public Health, Centre for Epidemiology and Screening, University of Copenhagen, Copenhagen, Denmark
| | - Claudia Galassi
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Johan Sommar
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umea University, Umea, Sweden
| | - Bertil Forsberg
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umea University, Umea, Sweden
| | - David Olsson
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umea University, Umea, Sweden
| | - Bente Oftedal
- Department of Air Pollution and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Norun H Krog
- Department of Air Pollution and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Gunn Marit Aasvang
- Department of Air Pollution and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Andrei Pyko
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michal Korek
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Ulf De Faire
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Claes-Göran Östenson
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
| | - Laura Fratiglioni
- Department of Neurobiology Care Science and Society, Aging Research Center, Karolinska Institute, Stockholm, Sweden
| | - Mette Sørensen
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Anne Tjønneland
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Petra H Peeters
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, United Kingdom
| | - H B As Bueno-de-Mesquita
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, United Kingdom
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Michelle Plusquin
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, United Kingdom
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Andrea Jaensch
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
- Agency for Preventive and Social Medicine, Bregenz, Austria
| | - Bernhard Föger
- Agency for Preventive and Social Medicine, Bregenz, Austria
| | - Meng Wang
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Ming-Yi Tsai
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Sara Grioni
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessandro Marcon
- Unit of Epidemiology & Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Fulvio Ricceri
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Enrica Migliore
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Ibon Tamayo
- ISGlobal Institute de Salut Global Barcelona, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Pilar Amiano
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Department of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - Miren Dorronsoro
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Department of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - Ranjeet Sokhi
- Centre for Atmospheric and Instrumentation Research, University of Hertfordshire, College Lane, Hatfield, United Kingdom
| | - Ingeborg Kooter
- Netherlands Organization for Applied Scientific Research (TNO), Utrecht, The Netherlands
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Rob Beelen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Marloes Eeftens
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Roel Vermeulen
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, United Kingdom
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, United Kingdom
- Molecular end Epidemiology Unit, HuGeF, Human Genetics Foundation, Torino, Italy
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
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8
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Pedersen M, Andersen ZJ, Stafoggia M, Weinmayr G, Galassi C, Sørensen M, Eriksen KT, Tjønneland A, Loft S, Jaensch A, Nagel G, Concin H, Tsai MY, Grioni S, Marcon A, Krogh V, Ricceri F, Sacerdote C, Ranzi A, Sokhi R, Vermeulen R, Hoogh KD, Wang M, Beelen R, Vineis P, Brunekreef B, Hoek G, Raaschou-Nielsen O. Ambient air pollution and primary liver cancer incidence in four European cohorts within the ESCAPE project. Environ Res 2017; 154:226-233. [PMID: 28107740 DOI: 10.1016/j.envres.2017.01.006] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 12/19/2016] [Accepted: 01/05/2017] [Indexed: 05/21/2023]
Abstract
BACKGROUND Tobacco smoke exposure increases the risk of cancer in the liver, but little is known about the possible risk associated with exposure to ambient air pollution. OBJECTIVES We evaluated the association between residential exposure to air pollution and primary liver cancer incidence. METHODS We obtained data from four cohorts with enrolment during 1985-2005 in Denmark, Austria and Italy. Exposure to nitrogen oxides (NO2 and NOX), particulate matter (PM) with diameter of less than 10µm (PM10), less than 2.5µm (PM2.5), between 2.5 and 10µm (PM2.5-10) and PM2.5 absorbance (soot) at baseline home addresses were estimated using land-use regression models from the ESCAPE project. We also investigated traffic density on the nearest road. We used Cox proportional-hazards models with adjustment for potential confounders for cohort-specific analyses and random-effects meta-analyses to estimate summary hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS Out of 174,770 included participants, 279 liver cancer cases were diagnosed during a mean follow-up of 17 years. In each cohort, HRs above one were observed for all exposures with exception of PM2.5 absorbance and traffic density. In the meta-analysis, all exposures were associated with elevated HRs, but none of the associations reached statistical significance. The summary HR associated with a 10-μg/m3 increase in NO2 was 1.10 (95% confidence interval (CI): 0.93, 1.30) and 1.34 (95% CI: 0.76, 2.35) for a 5-μg/m3 increase in PM2.5. CONCLUSIONS The results provide suggestive evidence that ambient air pollution may increase the risk of liver cancer. Confidence intervals for associations with NO2 and NOX were narrower than for the other exposures.
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Affiliation(s)
- Marie Pedersen
- The Danish Cancer Society Research Center, Copenhagen, Denmark; Centre for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Zorana J Andersen
- Centre for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit ASL RM1, Rome, Italy; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Claudia Galassi
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Mette Sørensen
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Anne Tjønneland
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Steffen Loft
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Andrea Jaensch
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany; Agency for Preventive and Social Medicine, Bregenz, Austria
| | - Hans Concin
- Agency for Preventive and Social Medicine, Bregenz, Austria
| | - Ming-Yi Tsai
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Sara Grioni
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessandro Marcon
- Unit of Epidemiology & Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Fulvio Ricceri
- Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, Italy; Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Andrea Ranzi
- Environmental Health Reference Centre, Regional Agency for Prevention, Environment and Energy of Emilia-Romagna, Modena, Italy
| | - Ranjeet Sokhi
- Centre for Atmospheric and Instrumentation Research, University of Hertfordshire, College Lane, Hatfield, United Kingdom
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands; School of Public Health, Imperial College, London, United Kingdom
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Meng Wang
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Rob Beelen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands; National Institute for Public Health (RIVM), Bilthoven, The Netherlands
| | - Paolo Vineis
- School of Public Health, Imperial College, London, United Kingdom; Molecular end Epidemiology Unit, HuGeF, Human Genetics Foundation, Torino, Italy
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Ole Raaschou-Nielsen
- The Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
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Eriksen KT, McElroy JA, Harrington JM, Levine KE, Pedersen C, Sørensen M, Tjønneland A, Meliker JR, Raaschou-Nielsen O. Urinary Cadmium and Breast Cancer: A Prospective Danish Cohort Study. J Natl Cancer Inst 2016; 109:djw204. [DOI: 10.1093/jnci/djw204] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 08/05/2016] [Indexed: 11/13/2022] Open
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10
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Opstelten JL, Beelen RMJ, Leenders M, Hoek G, Brunekreef B, van Schaik FDM, Siersema PD, Eriksen KT, Raaschou-Nielsen O, Tjønneland A, Overvad K, Boutron-Ruault MC, Carbonnel F, de Hoogh K, Key TJ, Luben R, Chan SSM, Hart AR, Bueno-de-Mesquita HB, Oldenburg B. Exposure to Ambient Air Pollution and the Risk of Inflammatory Bowel Disease: A European Nested Case-Control Study. Dig Dis Sci 2016; 61:2963-2971. [PMID: 27461060 PMCID: PMC5020109 DOI: 10.1007/s10620-016-4249-4] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 07/07/2016] [Indexed: 12/13/2022]
Abstract
BACKGROUND Industrialization has been linked to the etiology of inflammatory bowel disease (IBD). AIM We investigated the association between air pollution exposure and IBD. METHODS The European Prospective Investigation into Cancer and Nutrition cohort was used to identify cases with Crohn's disease (CD) (n = 38) and ulcerative colitis (UC) (n = 104) and controls (n = 568) from Denmark, France, the Netherlands, and the UK, matched for center, gender, age, and date of recruitment. Air pollution data were obtained from the European Study of Cohorts for Air Pollution Effects. Residential exposure was assessed with land-use regression models for particulate matter with diameters of <10 μm (PM10), <2.5 μm (PM2.5), and between 2.5 and 10 μm (PMcoarse), soot (PM2.5 absorbance), nitrogen oxides, and two traffic indicators. Conditional logistic regression analyses were performed to calculate odds ratios (ORs) with 95 % confidence intervals (CIs). RESULTS Although air pollution was not significantly associated with CD or UC separately, the associations were mostly similar. Individuals with IBD were less likely to have higher exposure levels of PM2.5 and PM10, with ORs of 0.24 (95 % CI 0.07-0.81) per 5 μg/m(3) and 0.25 (95 % CI 0.08-0.78) per 10 μg/m(3), respectively. There was an inverse but nonsignificant association for PMcoarse. A higher nearby traffic load was positively associated with IBD [OR 1.60 (95 % CI 1.04-2.46) per 4,000,000 motor vehicles × m per day]. Other air pollutants were positively but not significantly associated with IBD. CONCLUSION Exposure to air pollution was not found to be consistently associated with IBD.
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Affiliation(s)
- Jorrit L Opstelten
- Department of Gastroenterology and Hepatology, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Rob M J Beelen
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD, Utrecht, The Netherlands
- Center for Sustainability, Environment and Health, National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, The Netherlands
| | - Max Leenders
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD, Utrecht, The Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD, Utrecht, The Netherlands
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD, Utrecht, The Netherlands
| | - Fiona D M van Schaik
- Department of Gastroenterology and Hepatology, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Peter D Siersema
- Department of Gastroenterology and Hepatology, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
- Department of Gastroenterology and Hepatology, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Kirsten T Eriksen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen Ø, Denmark
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen Ø, Denmark
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen Ø, Denmark
| | - Kim Overvad
- Section for Epidemiology, Department of Public Health, Aarhus University, Bartholins Allé 2, 8000, Aarhus C, Denmark
| | - Marie-Christine Boutron-Ruault
- Paris-Saclay University, Université Paris-Sud, Université de Versailles-Saint-Quentin-en-Yvelines (UVSQ), Centre de Recherche en Épidémiologie et Santé des Populations (CESP), U1018, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Gustave Roussy, 114 rue Edouard Vaillant, 94800, Villejuif, France
- Institut Gustave Roussy, 114 Rue Edouard Vaillant, 94805, Villejuif, France
| | - Franck Carbonnel
- Paris-Saclay University, Université Paris-Sud, Université de Versailles-Saint-Quentin-en-Yvelines (UVSQ), Centre de Recherche en Épidémiologie et Santé des Populations (CESP), U1018, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Gustave Roussy, 114 rue Edouard Vaillant, 94800, Villejuif, France
- Institut Gustave Roussy, 114 Rue Edouard Vaillant, 94805, Villejuif, France
- Department of Gastroenterology, Bicêtre University Hospital, Assistance Publique des Hôpitaux de Paris, 78 Rue du Général Leclerc, 94275, Le Kremlin Bicêtre, France
| | - Kees de Hoogh
- Environmental Exposure and Health Unit, Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051, Basel, Switzerland
- University of Basel, Petersplatz 1, 4001, Basel, Switzerland
- MRC-PHE Center for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Robert Luben
- Strangeways Research Laboratory, Institute of Public Health, University of Cambridge, Worts Causeway, Cambridge, CB1 8RN, UK
| | - Simon S M Chan
- Department of Medicine, Faculty of Medicine and Health Sciences, Norwich Medical School, University of East Anglia, Norwich, NR4 7TJ, UK
- Department of Gastroenterology, Norfolk and Norwich University Hospital NHS Trust, Colney Lane, Norwich, NR4 7UY, UK
| | - Andrew R Hart
- Department of Medicine, Faculty of Medicine and Health Sciences, Norwich Medical School, University of East Anglia, Norwich, NR4 7TJ, UK
- Department of Gastroenterology, Norfolk and Norwich University Hospital NHS Trust, Colney Lane, Norwich, NR4 7UY, UK
| | - H Bas Bueno-de-Mesquita
- Department of Gastroenterology and Hepatology, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
- Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, The Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Jalan Universiti, 50603, Kuala Lumpur, Malaysia
| | - Bas Oldenburg
- Department of Gastroenterology and Hepatology, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands.
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11
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Raaschou-Nielsen O, Beelen R, Wang M, Hoek G, Andersen ZJ, Hoffmann B, Stafoggia M, Samoli E, Weinmayr G, Dimakopoulou K, Nieuwenhuijsen M, Xun WW, Fischer P, Eriksen KT, Sørensen M, Tjønneland A, Ricceri F, de Hoogh K, Key T, Eeftens M, Peeters PH, Bueno-de-Mesquita HB, Meliefste K, Oftedal B, Schwarze PE, Nafstad P, Galassi C, Migliore E, Ranzi A, Cesaroni G, Badaloni C, Forastiere F, Penell J, De Faire U, Korek M, Pedersen N, Östenson CG, Pershagen G, Fratiglioni L, Concin H, Nagel G, Jaensch A, Ineichen A, Naccarati A, Katsoulis M, Trichpoulou A, Keuken M, Jedynska A, Kooter IM, Kukkonen J, Brunekreef B, Sokhi RS, Katsouyanni K, Vineis P. Particulate matter air pollution components and risk for lung cancer. Environ Int 2016; 87:66-73. [PMID: 26641521 DOI: 10.1016/j.envint.2015.11.007] [Citation(s) in RCA: 139] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2015] [Revised: 11/05/2015] [Accepted: 11/09/2015] [Indexed: 05/06/2023]
Abstract
BACKGROUND Particulate matter (PM) air pollution is a human lung carcinogen; however, the components responsible have not been identified. We assessed the associations between PM components and lung cancer incidence. METHODS We used data from 14 cohort studies in eight European countries. We geocoded baseline addresses and assessed air pollution with land-use regression models for eight elements (Cu, Fe, K, Ni, S, Si, V and Zn) in size fractions of PM2.5 and PM10. We used Cox regression models with adjustment for potential confounders for cohort-specific analyses and random effect models for meta-analysis. RESULTS The 245,782 cohort members contributed 3,229,220 person-years at risk. During follow-up (mean, 13.1 years), 1878 incident cases of lung cancer were diagnosed. In the meta-analyses, elevated hazard ratios (HRs) for lung cancer were associated with all elements except V; none was statistically significant. In analyses restricted to participants who did not change residence during follow-up, statistically significant associations were found for PM2.5 Cu (HR, 1.25; 95% CI, 1.01-1.53 per 5 ng/m(3)), PM10 Zn (1.28; 1.02-1.59 per 20 ng/m(3)), PM10 S (1.58; 1.03-2.44 per 200 ng/m(3)), PM10 Ni (1.59; 1.12-2.26 per 2 ng/m(3)) and PM10 K (1.17; 1.02-1.33 per 100 ng/m(3)). In two-pollutant models, associations between PM10 and PM2.5 and lung cancer were largely explained by PM2.5 S. CONCLUSIONS This study indicates that the association between PM in air pollution and lung cancer can be attributed to various PM components and sources. PM containing S and Ni might be particularly important.
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Affiliation(s)
- O Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark.
| | - R Beelen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - M Wang
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - G Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Z J Andersen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Center for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - B Hoffmann
- IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany; University of Düsseldorf, Düsseldorf, Germany
| | - M Stafoggia
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit ASL RME, Rome, Italy
| | - E Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - G Weinmayr
- IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany; University of Düsseldorf, Düsseldorf, Germany; Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - K Dimakopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - M Nieuwenhuijsen
- Center for Research in Environmental Epidemiology, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain
| | - W W Xun
- MRC-HPA Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - P Fischer
- National Institute for Public Health and the Environment, Center for Sustainability and Environmental Health, Bilthoven, The Netherlands
| | - K T Eriksen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - M Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - A Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - F Ricceri
- Unit of Cancer Epidemiology, AO Citta' della Salute e della Scienza, University of Turin and Center for Cancer Prevention, Turin, Italy
| | - K de Hoogh
- MRC-HPA Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - T Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - M Eeftens
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - P H Peeters
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands; School of Public Health, Imperial College London, London, United Kingdom
| | - H B Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment, Bilthoven, The Netherlands; Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - K Meliefste
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - B Oftedal
- Norwegian Institute of Public Health, Oslo, Norway
| | - P E Schwarze
- Norwegian Institute of Public Health, Oslo, Norway
| | - P Nafstad
- Norwegian Institute of Public Health, Oslo, Norway; Institute of Health and Society, University of Oslo, Oslo, Norway
| | - C Galassi
- Unit of Cancer Epidemiology, AO Citta' della Salute e della Scienza, University of Turin and Center for Cancer Prevention, Turin, Italy
| | - E Migliore
- Unit of Cancer Epidemiology, AO Citta' della Salute e della Scienza, University of Turin and Center for Cancer Prevention, Turin, Italy
| | - A Ranzi
- Environmental Health Reference Centre, Regional Agency for Environmental Prevention of Emilia-Romagna, Modena, Italy
| | - G Cesaroni
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit ASL RME, Rome, Italy
| | - C Badaloni
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit ASL RME, Rome, Italy
| | - F Forastiere
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit ASL RME, Rome, Italy
| | - J Penell
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - U De Faire
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - M Korek
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - N Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - C-G Östenson
- Department of Molecular Medicine and Surgery, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden
| | - G Pershagen
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - L Fratiglioni
- Aging Research Centre, Department of Neurobiology, Care Sciences and Society, Karolinska Institute and Stockholm University, Stockholm, Sweden
| | - H Concin
- Agency for Preventive and Social Medicine, Bregenz, Austria
| | - G Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany; Agency for Preventive and Social Medicine, Bregenz, Austria
| | - A Jaensch
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - A Ineichen
- Human Genetics Foundation, Molecular and Genetic Epidemiology Unit, Turin, Italy
| | - A Naccarati
- Human Genetics Foundation, Molecular and Genetic Epidemiology Unit, Turin, Italy
| | | | | | - M Keuken
- Netherlands Organisation for Applied Scientific Research, Utrecht, The Netherlands
| | - A Jedynska
- Netherlands Organisation for Applied Scientific Research, Utrecht, The Netherlands
| | - I M Kooter
- Netherlands Organisation for Applied Scientific Research, Utrecht, The Netherlands
| | - J Kukkonen
- Finnish Meteorological Institute, Helsinki, Finland
| | - B Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - R S Sokhi
- Centre for Atmospheric and Instrumentation Research, University of Hertfordshire, College Lane, Hatfield, United Kingdom
| | - K Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Department of Primary Care and Public Health Sciences and Environmental Research Group, King's College London, United Kingdom
| | - P Vineis
- MRC-HPA Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
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12
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Sørensen M, Hjortebjerg D, Eriksen KT, Ketzel M, Tjønneland A, Overvad K, Raaschou-Nielsen O. Exposure to long-term air pollution and road traffic noise in relation to cholesterol: A cross-sectional study. Environ Int 2015; 85:238-243. [PMID: 26425807 DOI: 10.1016/j.envint.2015.09.021] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Revised: 09/18/2015] [Accepted: 09/20/2015] [Indexed: 06/05/2023]
Abstract
BACKGROUND Exposure to traffic noise and air pollution have both been associated with cardiovascular disease, though the mechanisms behind are not yet clear. OBJECTIVES We aimed to investigate whether the two exposures were associated with levels of cholesterol in a cross-sectional design. METHODS In 1993–1997, 39,863 participants aged 50–64 year and living in the Greater Copenhagen area were enrolled in a population-based cohort study. For each participant, non-fasting total cholesterol was determined in whole blood samples on the day of enrolment. Residential addresses 5-years preceding enrolment were identified in a national register and road traffic noise (Lden) were modeled for all addresses. For air pollution, nitrogen dioxide (NO2) was modeled at all addresses using a dispersion model and PM2.5 was modeled at all enrolment addresses using a land-use regression model. Analyses were done using linear regression with adjustment for potential confounders as well as mutual adjustment for the three exposures. RESULTS Baseline residential exposure to the interquartile range of road traffic noise,NO2 and PM2.5 was associated with a 0.58 mg/dl (95% confidence interval: −0.09; 1.25), a 0.68 mg/dl (0.22; 1.16) and a 0.78 mg/dl (0.22; 1.34) higher level of total cholesterol in single pollutant models, respectively. In two pollutant models with adjustment for noise in air pollution models and vice versa, the association between air pollution and cholesterol remained for both air pollution variables (NO2: 0.72 (0.11; 1.34); PM2.5: 0.70 (0.12; 1.28) mg/dl), whereas there was no association for noise (−0.08mg/dl). In three-pollutant models (NO2, PM2.5 and road traffic noise), estimates for NO2 and PM2.5 were slightly diminished (NO2: 0.58 (−0.05; 1.22); PM2.5: 0.57 (−0.02; 1.17) mg/dl). CONCLUSIONS Air pollution and possibly also road traffic noise may be associated with slightly higher levels of cholesterol, though associations for the two exposures were difficult to separate.
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Affiliation(s)
- Mette Sørensen
- Diet, Genes and Environment, Danish Cancer Society Research Centre, Copenhagen, Denmark.
| | - Dorrit Hjortebjerg
- Diet, Genes and Environment, Danish Cancer Society Research Centre, Copenhagen, Denmark
| | - Kirsten T Eriksen
- Diet, Genes and Environment, Danish Cancer Society Research Centre, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Anne Tjønneland
- Diet, Genes and Environment, Danish Cancer Society Research Centre, Copenhagen, Denmark
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark; Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Ole Raaschou-Nielsen
- Diet, Genes and Environment, Danish Cancer Society Research Centre, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
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13
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Vacchi-Suzzi C, Eriksen KT, Levine K, McElroy J, Tjønneland A, Raaschou-Nielsen O, Harrington JM, Meliker JR. Dietary Intake Estimates and Urinary Cadmium Levels in Danish Postmenopausal Women. PLoS One 2015; 10:e0138784. [PMID: 26390122 PMCID: PMC4577120 DOI: 10.1371/journal.pone.0138784] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Accepted: 09/03/2015] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Cadmium is a known carcinogen that can disrupt endocrine signalling. Cigarette smoking and food are the most common routes of non-occupational exposure to cadmium. Cadmium accumulates in the kidney and can be measured in urine, making urine cadmium (U-Cd) a biomarker of long-term exposure. However dietary-cadmium (D-Cd) intake estimates are often used as surrogate indicator of cadmium exposure in non-smoking subjects. It is therefore important to investigate the concordance between D-Cd estimates obtained with Food Frequency Questionnaires and U-Cd. METHODS U-Cd levels were compared with estimated dietary-cadmium (D-Cd) intake in 1764 post-menopausal women from the Danish Diet, Cancer and Health cohort. For each participant, a food frequency questionnaire, and measures of cadmium content in standard recipes were used to judge the daily intake of cadmium, normalized by daily caloric intake. Cadmium was measured by ICP-MS in spot urine sampled at baseline and normalized by urinary creatinine. Information on diet, socio-demographics and smoking were self-reported at baseline. RESULTS Linear regressions between U-Cd and D-Cd alone revealed minimal but significant positive correlation in never smokers (R2 = 0.0076, β = 1.5% increase per 1 ng Cd kcal(-1), p = 0.0085, n = 782), and negative correlation in current smokers (R2 = 0.0184, β = 7.1% decrease per 1 ng Cd kcal(-1) change, p = 0.0006, n = 584). In the full study population, most of the variability in U-Cd was explained by smoking status (R2 = 0.2450, n = 1764). A forward selection model revealed that the strongest predictors of U-Cd were age in never smokers (Δ R2 = 0.04), smoking duration in former smokers (Δ R2 = 0.06) and pack-years in current smokers (Δ R2 = 0.07). Food items that contributed to U-Cd were leafy vegetables and soy-based products, but explained very little of the variance in U-Cd. CONCLUSIONS Dietary-Cd intake estimated from food frequency questionnaires correlates only minimally with U-Cd biomarker, and its use as a Cd exposure indicator may be of limited utility in epidemiologic studies.
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Affiliation(s)
- Caterina Vacchi-Suzzi
- Department of Preventive Medicine and Program in Public Health, Stony Brook University, Stony Brook, New York, United States of America
| | | | - Keith Levine
- RTI International Trace Inorganics Department, Research Triangle Park, North Carolina, United States of America
| | - Jane McElroy
- Family and Community Medicine, University of Missouri, Columbia, Missouri, United States of America
| | | | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Environmental Science, Aarhus University, Aarhus, Denmark
| | - James M. Harrington
- RTI International Trace Inorganics Department, Research Triangle Park, North Carolina, United States of America
| | - Jaymie R. Meliker
- Department of Preventive Medicine and Program in Public Health, Stony Brook University, Stony Brook, New York, United States of America
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14
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Roswall N, Eriksen KT, Hjortebjerg D, Jensen SS, Overvad K, Tjønneland A, Raaschou-Nielsen O, Sørensen M. Residential Exposure to Road and Railway Noise and Risk of Prostate Cancer: A Prospective Cohort Study. PLoS One 2015; 10:e0135407. [PMID: 26305219 PMCID: PMC4549252 DOI: 10.1371/journal.pone.0135407] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Accepted: 07/21/2015] [Indexed: 01/13/2023] Open
Abstract
Background Few modifiable risk factors for prostate cancer are known. Recently, disruption of the circadian system has been proposed to affect risk, as it entails an inhibited melatonin production, and melatonin has demonstrated beneficial effects on cancer inhibition. This suggests a potential role of traffic noise in prostate cancer. Methods Road traffic and railway noise was calculated for all present and historical addresses from 1987–2010 for a cohort of 24,473 middle-aged, Danish men. During follow-up, 1,457 prostate cancer cases were identified. We used Cox Proportional Hazards Models to calculate the association between noise exposure and incident prostate cancer. Incidence Rate Ratios (IRR) were calculated as crude and adjusted for smoking status, education, socioeconomic position, BMI, waist circumference, physical activity, calendar year, and traffic noise from other sources than the one investigated. Results There was no association between residential road traffic noise and risk of prostate cancer for any of the three exposure windows: 1, 5 or 10-year mean noise exposure before prostate cancer diagnosis. This result persisted when stratifying cases by aggressiveness. For railway noise, there was no association with overall prostate cancer. There was no statistically significant effect modification by age, education, smoking status, waist circumference or railway noise, on the association between road traffic noise and prostate cancer, although there seemed to be a suggestion of an association among never smokers (IRR: 1.16; 95% CI: 1.00–1.36). Conclusion The present study does not support an overall association between either railway or road traffic noise and overall prostate cancer.
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Affiliation(s)
- Nina Roswall
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | | | - Steen S Jensen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Kim Overvad
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
| | | | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark
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Eriksen KT, Halkjær J, Meliker JR, McElroy JA, Sørensen M, Tjønneland A, Raaschou-Nielsen O. Dietary cadmium intake and risk of prostate cancer: a Danish prospective cohort study. BMC Cancer 2015. [PMID: 25884961 DOI: 10.1186/s12885-105-1153-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cadmium is classified as a human lung carcinogen based on evidence from high-exposure occupational settings. Though cadmium has no physiological role, increasing evidence suggests cadmium may mimic steroid hormones. This dual ability of being carcinogenic and hormone-like makes cadmium a concern for hormone-related cancers. Causes of prostate cancer are not clear, but steroid hormones, particularly androgens and probably estrogens, may be involved. Cadmium has been positively associated with prostate cancer in occupationally exposed men. In non-occupationally exposed populations, diet and smoking are the main sources of cadmium exposure. The aim of this study was to investigate the association between dietary cadmium intake and prostate cancer risk in Danish men. METHODS Dietary cadmium intake was estimated in the Danish Diet, Cancer and Health cohort at baseline 1993-97. The estimates were based on a 192 item semi-quantitative food frequency questionnaire and cadmium contents in all food items. Among 26,778 men we identified 1,567 prostate cancer cases from baseline through December 31, 2010 using the Danish Cancer Registry. The association between dietary cadmium intake and prostate cancer risk was analysed using Cox regression models. RESULTS We did not find an association between dietary cadmium intake and prostate cancer risk (adjusted incidence rate ratio per 10 μg day(-1) = 0.98 (95% CI = 0.88-1.10)). The association did not differ according to aggressiveness of prostate cancer. Educational level, smoking status, BMI, zinc or iron intake did not modify the association. CONCLUSIONS In our study, we did not find an association between dietary cadmium intake and prostate cancer risk in a cohort of Danish men.
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Affiliation(s)
- Kirsten T Eriksen
- Danish Cancer Society Research Center, Danish Cancer Society, Strandboulevarden 49, DK, 2100, Copenhagen, Denmark.
| | - Jytte Halkjær
- Danish Cancer Society Research Center, Danish Cancer Society, Strandboulevarden 49, DK, 2100, Copenhagen, Denmark.
| | - Jaymie R Meliker
- Department of Preventive Medicine and Graduate Program in Public Health, Stony Brook University, New York, USA.
| | - Jane A McElroy
- Family and Community Medicine, University of Missouri, Columbia, MO, USA.
| | - Mette Sørensen
- Danish Cancer Society Research Center, Danish Cancer Society, Strandboulevarden 49, DK, 2100, Copenhagen, Denmark.
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Danish Cancer Society, Strandboulevarden 49, DK, 2100, Copenhagen, Denmark.
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Danish Cancer Society, Strandboulevarden 49, DK, 2100, Copenhagen, Denmark.
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Jedynska A, Hoek G, Wang M, Eeftens M, Cyrys J, Keuken M, Ampe C, Beelen R, Cesaroni G, Forastiere F, Cirach M, de Hoogh K, De Nazelle A, Nystad W, Declercq C, Eriksen KT, Dimakopoulou K, Lanki T, Meliefste K, Nieuwenhuijsen MJ, Yli-Tuomi T, Raaschou-Nielsen O, Brunekreef B, Kooter IM. Development of land use regression models for elemental, organic carbon, PAH, and hopanes/steranes in 10 ESCAPE/TRANSPHORM European study areas. Environ Sci Technol 2014; 48:14435-44. [PMID: 25317817 DOI: 10.1021/es502568z] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Land use regression (LUR) models have been used to model concentrations of mainly traffic-related air pollutants (nitrogen oxides (NOx), particulate matter (PM) mass or absorbance). Few LUR models are published of PM composition, whereas the interest in health effects related to particle composition is increasing. The aim of our study was to evaluate LUR models of polycyclic aromatic hydrocarbons (PAH), hopanes/steranes, and elemental and organic carbon (EC/OC) content of PM2.5. In 10 European study areas, PAH, hopanes/steranes, and EC/OC concentrations were measured at 16-40 sites per study area. LUR models for each study area were developed on the basis of annual average concentrations and predictor variables including traffic, population, industry, natural land obtained from geographic information systems. The highest median model explained variance (R(2)) was found for EC - 84%. The median R(2) was 51% for OC, 67% for benzo[a]pyrene, and 38% for sum of hopanes/steranes, with large variability between study areas. Traffic predictors were included in most models. Population and natural land were included frequently as additional predictors. The moderate to high explained variance of LUR models and the overall moderate correlation with PM2.5 model predictions support the application of especially the OC and PAH models in epidemiological studies.
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Affiliation(s)
- Aleksandra Jedynska
- TNO, Netherlands Organization for Applied Scientific Research, Utrecht, The Netherlands
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17
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Stafoggia M, Cesaroni G, Peters A, Andersen ZJ, Badaloni C, Beelen R, Caracciolo B, Cyrys J, de Faire U, de Hoogh K, Eriksen KT, Fratiglioni L, Galassi C, Gigante B, Havulinna AS, Hennig F, Hilding A, Hoek G, Hoffmann B, Houthuijs D, Korek M, Lanki T, Leander K, Magnusson PK, Meisinger C, Migliore E, Overvad K, Ostenson CG, Pedersen NL, Pekkanen J, Penell J, Pershagen G, Pundt N, Pyko A, Raaschou-Nielsen O, Ranzi A, Ricceri F, Sacerdote C, Swart WJR, Turunen AW, Vineis P, Weimar C, Weinmayr G, Wolf K, Brunekreef B, Forastiere F. Long-term exposure to ambient air pollution and incidence of cerebrovascular events: results from 11 European cohorts within the ESCAPE project. Environ Health Perspect 2014; 122:919-25. [PMID: 24835336 PMCID: PMC4153743 DOI: 10.1289/ehp.1307301] [Citation(s) in RCA: 240] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2013] [Accepted: 05/15/2014] [Indexed: 05/17/2023]
Abstract
BACKGROUND Few studies have investigated effects of air pollution on the incidence of cerebrovascular events. OBJECTIVES We assessed the association between long-term exposure to multiple air pollutants and the incidence of stroke in European cohorts. METHODS Data from 11 cohorts were collected, and occurrence of a first stroke was evaluated. Individual air pollution exposures were predicted from land-use regression models developed within the European Study of Cohorts for Air Pollution Effects (ESCAPE). The exposures were: PM2.5 [particulate matter (PM) ≤ 2.5 μm in diameter], coarse PM (PM between 2.5 and 10 μm), PM10 (PM ≤ 10 μm), PM2.5 absorbance, nitrogen oxides, and two traffic indicators. Cohort-specific analyses were conducted using Cox proportional hazards models. Random-effects meta-analysis was used for pooled effect estimation. RESULTS A total of 99,446 study participants were included, 3,086 of whom developed stroke. A 5-μg/m3 increase in annual PM2.5 exposure was associated with 19% increased risk of incident stroke [hazard ratio (HR) = 1.19, 95% CI: 0.88, 1.62]. Similar findings were obtained for PM10. The results were robust to adjustment for an extensive list of cardiovascular risk factors and noise coexposure. The association with PM2.5 was apparent among those ≥ 60 years of age (HR = 1.40, 95% CI: 1.05, 1.87), among never-smokers (HR = 1.74, 95% CI: 1.06, 2.88), and among participants with PM2.5 exposure < 25 μg/m3 (HR = 1.33, 95% CI: 1.01, 1.77). CONCLUSIONS We found suggestive evidence of an association between fine particles and incidence of cerebrovascular events in Europe, even at lower concentrations than set by the current air quality limit value.
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Affiliation(s)
- Massimo Stafoggia
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
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Wang M, Beelen R, Bellander T, Birk M, Cesaroni G, Cirach M, Cyrys J, de Hoogh K, Declercq C, Dimakopoulou K, Eeftens M, Eriksen KT, Forastiere F, Galassi C, Grivas G, Heinrich J, Hoffmann B, Ineichen A, Korek M, Lanki T, Lindley S, Modig L, Mölter A, Nafstad P, Nieuwenhuijsen MJ, Nystad W, Olsson D, Raaschou-Nielsen O, Ragettli M, Ranzi A, Stempfelet M, Sugiri D, Tsai MY, Udvardy O, Varró MJ, Vienneau D, Weinmayr G, Wolf K, Yli-Tuomi T, Hoek G, Brunekreef B. Performance of multi-city land use regression models for nitrogen dioxide and fine particles. Environ Health Perspect 2014; 122:843-9. [PMID: 24787034 PMCID: PMC4123024 DOI: 10.1289/ehp.1307271] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2013] [Accepted: 04/30/2014] [Indexed: 05/03/2023]
Abstract
BACKGROUND Land use regression (LUR) models have been developed mostly to explain intraurban variations in air pollution based on often small local monitoring campaigns. Transferability of LUR models from city to city has been investigated, but little is known about the performance of models based on large numbers of monitoring sites covering a large area. OBJECTIVES We aimed to develop European and regional LUR models and to examine their transferability to areas not used for model development. METHODS We evaluated LUR models for nitrogen dioxide (NO2) and particulate matter (PM; PM2.5, PM2.5 absorbance) by combining standardized measurement data from 17 (PM) and 23 (NO2) ESCAPE (European Study of Cohorts for Air Pollution Effects) study areas across 14 European countries for PM and NO2. Models were evaluated with cross-validation (CV) and hold-out validation (HV). We investigated the transferability of the models by successively excluding each study area from model building. RESULTS The European model explained 56% of the concentration variability across all sites for NO2, 86% for PM2.5, and 70% for PM2.5 absorbance. The HV R2s were only slightly lower than the model R2 (NO2, 54%; PM2.5, 80%; PM2.5 absorbance, 70%). The European NO2, PM2.5, and PM2.5 absorbance models explained a median of 59%, 48%, and 70% of within-area variability in individual areas. The transferred models predicted a modest-to-large fraction of variability in areas that were excluded from model building (median R2: NO2, 59%; PM2.5, 42%; PM2.5 absorbance, 67%). CONCLUSIONS Using a large data set from 23 European study areas, we were able to develop LUR models for NO2 and PM metrics that predicted measurements made at independent sites and areas reasonably well. This finding is useful for assessing exposure in health studies conducted in areas where no measurements were conducted.
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Affiliation(s)
- Meng Wang
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
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Eriksen KT, Halkjær J, Sørensen M, Meliker JR, McElroy JA, Tjønneland A, Raaschou-Nielsen O. Dietary cadmium intake and risk of breast, endometrial and ovarian cancer in Danish postmenopausal women: a prospective cohort study. PLoS One 2014; 9:e100815. [PMID: 24963789 PMCID: PMC4071014 DOI: 10.1371/journal.pone.0100815] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2014] [Accepted: 05/30/2014] [Indexed: 11/18/2022] Open
Abstract
PURPOSE Cadmium is a human lung carcinogen and possesses estrogen-like activity. This combination of carcinogenic and estrogenic activity makes cadmium a contaminant of high concern for hormone-related cancers. Diet and smoking are the main sources of cadmium exposure. The aim of this study was to investigate the association between dietary cadmium intake and risk of breast, endometrial and ovarian cancer in Danish postmenopausal woman. METHODS We estimated dietary cadmium intake in the Diet, Cancer and Health cohort at enrolment 1993-97. The estimates were based on food frequency questionnaires and cadmium contents in all foods. Among 23,815 postmenopausal women we identified 1390 breast, 192 endometrial, and 146 ovarian cancer cases from enrolment through December 31, 2010 using the Danish Cancer Registry. Cox regression was used to analyse the association between dietary cadmium intake and cancer risk. RESULTS Mean dietary cadmium intake was 14 µg/day. Cadmium was not associated with breast cancer, incidence rate ratio (IRR) = 0.99, 95% confidence interval (CI): 0.87-1.13 per 10 µg higher dietary cadmium intake/day; endometrial cancer, IRR = 1.08, 95% CI: 0.76-1.53; or ovarian cancer, IRR = 1.15, 95% CI: 0.78-1.70. We found a positive association between cadmium and endometrial cancer for the women with BMI<25 (IRR = 1.50, 95% CI: 0.94-2.39), whereas an inverse association was seen for the women with BMI≥25 (IRR = 0.69, 95% CI: 0.42-1.12); p value for interaction = 0.02. CONCLUSIONS Our study does not indicate that our estimated dietary cadmium intake is associated with hormone-related cancers in women.
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Affiliation(s)
| | - Jytte Halkjær
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Jaymie R. Meliker
- Department of Preventive Medicine and Graduate Program in Public Health, Stony Brook University, Stony Brook, New York, United States of America
| | - Jane A. McElroy
- Family and Community Medicine, University of Missouri, Columbia, Montana, United States of America
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Cesaroni G, Forastiere F, Stafoggia M, Andersen ZJ, Badaloni C, Beelen R, Caracciolo B, de Faire U, Erbel R, Eriksen KT, Fratiglioni L, Galassi C, Hampel R, Heier M, Hennig F, Hilding A, Hoffmann B, Houthuijs D, Jöckel KH, Korek M, Lanki T, Leander K, Magnusson PKE, Migliore E, Ostenson CG, Overvad K, Pedersen NL, J JP, Penell J, Pershagen G, Pyko A, Raaschou-Nielsen O, Ranzi A, Ricceri F, Sacerdote C, Salomaa V, Swart W, Turunen AW, Vineis P, Weinmayr G, Wolf K, de Hoogh K, Hoek G, Brunekreef B, Peters A. Long term exposure to ambient air pollution and incidence of acute coronary events: prospective cohort study and meta-analysis in 11 European cohorts from the ESCAPE Project. BMJ 2014; 348:f7412. [PMID: 24452269 PMCID: PMC3898420 DOI: 10.1136/bmj.f7412] [Citation(s) in RCA: 400] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
OBJECTIVES To study the effect of long term exposure to airborne pollutants on the incidence of acute coronary events in 11 cohorts participating in the European Study of Cohorts for Air Pollution Effects (ESCAPE). DESIGN Prospective cohort studies and meta-analysis of the results. SETTING Cohorts in Finland, Sweden, Denmark, Germany, and Italy. PARTICIPANTS 100 166 people were enrolled from 1997 to 2007 and followed for an average of 11.5 years. Participants were free from previous coronary events at baseline. MAIN OUTCOME MEASURES Modelled concentrations of particulate matter <2.5 μm (PM2.5), 2.5-10 μm (PMcoarse), and <10 μm (PM10) in aerodynamic diameter, soot (PM2.5 absorbance), nitrogen oxides, and traffic exposure at the home address based on measurements of air pollution conducted in 2008-12. Cohort specific hazard ratios for incidence of acute coronary events (myocardial infarction and unstable angina) per fixed increments of the pollutants with adjustment for sociodemographic and lifestyle risk factors, and pooled random effects meta-analytic hazard ratios. RESULTS 5157 participants experienced incident events. A 5 μg/m(3) increase in estimated annual mean PM2.5 was associated with a 13% increased risk of coronary events (hazard ratio 1.13, 95% confidence interval 0.98 to 1.30), and a 10 μg/m(3) increase in estimated annual mean PM10 was associated with a 12% increased risk of coronary events (1.12, 1.01 to 1.25) with no evidence of heterogeneity between cohorts. Positive associations were detected below the current annual European limit value of 25 μg/m(3) for PM2.5 (1.18, 1.01 to 1.39, for 5 μg/m(3) increase in PM2.5) and below 40 μg/m(3) for PM10 (1.12, 1.00 to 1.27, for 10 μg/m(3) increase in PM10). Positive but non-significant associations were found with other pollutants. CONCLUSIONS Long term exposure to particulate matter is associated with incidence of coronary events, and this association persists at levels of exposure below the current European limit values.
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Affiliation(s)
- Giulia Cesaroni
- Department of Epidemiology, Lazio Regional Health Service, 00198 Rome, Italy
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Raaschou-Nielsen O, Andersen ZJ, Beelen R, Samoli E, Stafoggia M, Weinmayr G, Hoffmann B, Fischer P, Nieuwenhuijsen MJ, Brunekreef B, Xun WW, Katsouyanni K, Dimakopoulou K, Sommar J, Forsberg B, Modig L, Oudin A, Oftedal B, Schwarze PE, Nafstad P, De Faire U, Pedersen NL, Ostenson CG, Fratiglioni L, Penell J, Korek M, Pershagen G, Eriksen KT, Sørensen M, Tjønneland A, Ellermann T, Eeftens M, Peeters PH, Meliefste K, Wang M, Bueno-de-Mesquita B, Key TJ, de Hoogh K, Concin H, Nagel G, Vilier A, Grioni S, Krogh V, Tsai MY, Ricceri F, Sacerdote C, Galassi C, Migliore E, Ranzi A, Cesaroni G, Badaloni C, Forastiere F, Tamayo I, Amiano P, Dorronsoro M, Trichopoulou A, Bamia C, Vineis P, Hoek G. Air pollution and lung cancer incidence in 17 European cohorts: prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE). Lancet Oncol 2013. [PMID: 23849838 DOI: 10.1016/s14702045(13)70279-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/27/2023]
Abstract
BACKGROUND Ambient air pollution is suspected to cause lung cancer. We aimed to assess the association between long-term exposure to ambient air pollution and lung cancer incidence in European populations. METHODS This prospective analysis of data obtained by the European Study of Cohorts for Air Pollution Effects used data from 17 cohort studies based in nine European countries. Baseline addresses were geocoded and we assessed air pollution by land-use regression models for particulate matter (PM) with diameter of less than 10 μm (PM10), less than 2·5 μm (PM2·5), and between 2·5 and 10 μm (PMcoarse), soot (PM2·5absorbance), nitrogen oxides, and two traffic indicators. We used Cox regression models with adjustment for potential confounders for cohort-specific analyses and random effects models for meta-analyses. FINDINGS The 312 944 cohort members contributed 4 013 131 person-years at risk. During follow-up (mean 12·8 years), 2095 incident lung cancer cases were diagnosed. The meta-analyses showed a statistically significant association between risk for lung cancer and PM10 (hazard ratio [HR] 1·22 [95% CI 1·03-1·45] per 10 μg/m(3)). For PM2·5 the HR was 1·18 (0·96-1·46) per 5 μg/m(3). The same increments of PM10 and PM2·5 were associated with HRs for adenocarcinomas of the lung of 1·51 (1·10-2·08) and 1·55 (1·05-2·29), respectively. An increase in road traffic of 4000 vehicle-km per day within 100 m of the residence was associated with an HR for lung cancer of 1·09 (0·99-1·21). The results showed no association between lung cancer and nitrogen oxides concentration (HR 1·01 [0·95-1·07] per 20 μg/m(3)) or traffic intensity on the nearest street (HR 1·00 [0·97-1·04] per 5000 vehicles per day). INTERPRETATION Particulate matter air pollution contributes to lung cancer incidence in Europe. FUNDING European Community's Seventh Framework Programme.
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Raaschou-Nielsen O, Andersen ZJ, Beelen R, Samoli E, Stafoggia M, Weinmayr G, Hoffmann B, Fischer P, Nieuwenhuijsen MJ, Brunekreef B, Xun WW, Katsouyanni K, Dimakopoulou K, Sommar J, Forsberg B, Modig L, Oudin A, Oftedal B, Schwarze PE, Nafstad P, De Faire U, Pedersen NL, Östenson CG, Fratiglioni L, Penell J, Korek M, Pershagen G, Eriksen KT, Sørensen M, Tjønneland A, Ellermann T, Eeftens M, Peeters PH, Meliefste K, Wang M, Bueno-de-Mesquita B, Key TJ, de Hoogh K, Concin H, Nagel G, Vilier A, Grioni S, Krogh V, Tsai MY, Ricceri F, Sacerdote C, Galassi C, Migliore E, Ranzi A, Cesaroni G, Badaloni C, Forastiere F, Tamayo I, Amiano P, Dorronsoro M, Trichopoulou A, Bamia C, Vineis P, Hoek G. Air pollution and lung cancer incidence in 17 European cohorts: prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE). Lancet Oncol 2013; 14:813-22. [DOI: 10.1016/s1470-2045(13)70279-1] [Citation(s) in RCA: 999] [Impact Index Per Article: 90.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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Eriksen KT, Raaschou-Nielsen O, McLaughlin JK, Lipworth L, Tjønneland A, Overvad K, Sørensen M. Association between plasma PFOA and PFOS levels and total cholesterol in a middle-aged Danish population. PLoS One 2013; 8:e56969. [PMID: 23441227 PMCID: PMC3575486 DOI: 10.1371/journal.pone.0056969] [Citation(s) in RCA: 94] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2012] [Accepted: 01/17/2013] [Indexed: 01/12/2023] Open
Abstract
Perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS) are used in a variety of consumer products and have been detected worldwide in human blood. Recent studies mainly of highly exposed populations have indicated that PFOA and PFOS may affect serum cholesterol levels, but the magnitude of the effect may be inconsistent across exposure levels. The aim of the present cross-sectional study was to investigate the association between plasma PFOA and PFOS and total cholesterol in a general, middle-aged Danish population. The study population comprised 753 individuals (663 men and 90 women), 50-65 years of age, nested within a Danish cohort of 57,053 participants. Blood samples were taken from all cohort members at enrolment (1993-1997) and stored in a biobank at -150°C. Plasma levels of PFOA and PFOS and serum levels of total cholesterol were measured. The associations between plasma PFOA and PFOS levels and total cholesterol levels were analysed by generalized linear models, both crude and adjusted for potential confounders. We observed statistically significant positive associations between both perfluorinated compounds and total cholesterol, e.g. a 4.4 [95% CI = 1.1-7.8] higher concentration of total cholesterol (mg/dL) per interquartile range of PFOA plasma level. Sex and prevalent diabetes appeared to modify the association between PFOA and PFOS, respectively, and cholesterol. In conclusion, this study indicated positive associations between plasma PFOA and PFOS levels and total cholesterol in a middle-aged Danish population, although whether the observed pattern of results reflects a causal association is unclear.
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Eriksen KT, Raaschou-Nielsen O, McLaughlin JK, Lipworth L, Tjønneland A, Overvad K, Sørensen M. Association between plasma PFOA and PFOS levels and total cholesterol in a middle-aged Danish population. PLoS One 2013. [PMID: 23441227 DOI: 10.1371/journal.pone.0056969.t001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2023] Open
Abstract
Perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS) are used in a variety of consumer products and have been detected worldwide in human blood. Recent studies mainly of highly exposed populations have indicated that PFOA and PFOS may affect serum cholesterol levels, but the magnitude of the effect may be inconsistent across exposure levels. The aim of the present cross-sectional study was to investigate the association between plasma PFOA and PFOS and total cholesterol in a general, middle-aged Danish population. The study population comprised 753 individuals (663 men and 90 women), 50-65 years of age, nested within a Danish cohort of 57,053 participants. Blood samples were taken from all cohort members at enrolment (1993-1997) and stored in a biobank at -150°C. Plasma levels of PFOA and PFOS and serum levels of total cholesterol were measured. The associations between plasma PFOA and PFOS levels and total cholesterol levels were analysed by generalized linear models, both crude and adjusted for potential confounders. We observed statistically significant positive associations between both perfluorinated compounds and total cholesterol, e.g. a 4.4 [95% CI = 1.1-7.8] higher concentration of total cholesterol (mg/dL) per interquartile range of PFOA plasma level. Sex and prevalent diabetes appeared to modify the association between PFOA and PFOS, respectively, and cholesterol. In conclusion, this study indicated positive associations between plasma PFOA and PFOS levels and total cholesterol in a middle-aged Danish population, although whether the observed pattern of results reflects a causal association is unclear.
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Eriksen KT, Sørensen M, McLaughlin JK, Tjønneland A, Overvad K, Raaschou-Nielsen O. Determinants of plasma PFOA and PFOS levels among 652 Danish men. Environ Sci Technol 2011; 45:8137-43. [PMID: 20939531 DOI: 10.1021/es100626h] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS) are used in a variety of industrial and consumer products and have been detected worldwide in human blood. The sources for human exposure are not well described, but dietary intake is suggested as an important source. In this study of 652 Danish men from the Diet, Cancer and Health cohort, we examined intake of 10 major dietary groups, tap water drinks, alcohol consumption, cooking method, geographical area, age, smoking status, and BMI as potential determinants of PFOA and PFOS plasma levels. Living in the Aarhus area was associated with higher PFOA and PFOS plasma levels compared with living in the Copenhagen area, and never smokers had higher levels than current smokers. Frying as compared with other cooking methods was a determinant of PFOA and PFOS levels. BMI and alcohol consumption were inversely associated with both compounds. Among the dietary groups, only intake of eggs was significantly positively associated with PFOS plasma levels. In future studies, PFOA and PFOS levels in air, dust and water samples should be measured to elucidate further the sources of exposure; exposure through diet needs to be studied in greater detail. Our finding of a higher body burden of PFOA and PFOS among never smokers also warrants further evaluation.
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Affiliation(s)
- Kirsten T Eriksen
- Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark.
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Eriksen KT, Haubek D, Poulsen K. Intragenomic recombination in the highly leukotoxic JP2 clone of Actinobacillus actinomycetemcomitans. Microbiology (Reading) 2005; 151:3371-3379. [PMID: 16207919 DOI: 10.1099/mic.0.28193-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The highly leukotoxic JP2 clone of Actinobacillus actinomycetemcomitans is strongly associated with aggressive periodontitis in adolescents of African descent. DNA fingerprinting using the frequently cutting restriction enzyme MspI and multilocus sequence typing (MLST) showed that five strains of this clone were genetically virtually identical, although ribotyping of the six rrn genes and EcoRI RFLP analysis of the seven IS150-like elements revealed differences. PCR analyses demonstrated that these multi-copy sequences are subject to intragenomic homologous recombination, resulting in translocations or large inversions. The genome rearrangements were reflected in differences among 25 strains representing the JP2 clone in DNA fingerprinting using the rare-cutting restriction enzyme XhoI and resolved by PFGE. XhoI DNA fingerprinting provides a tool for studying local epidemiology, including transmission of this particularly pathogenic clone of A. actinomycetemcomitans.
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Affiliation(s)
- Kirsten T Eriksen
- Institute of Medical Microbiology and Immunology, University of Aarhus, Denmark
| | - Dorte Haubek
- Department of Community Oral Health and Pediatric Dentistry, University of Aarhus, Denmark
| | - Knud Poulsen
- Institute of Medical Microbiology and Immunology, University of Aarhus, Denmark
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