Author
Barbara Hoffmann
Other affiliations: Leibniz Association
Bio: Barbara Hoffmann is an academic researcher from University of Düsseldorf. The author has contributed to research in topics: Population & Environmental exposure. The author has an hindex of 59, co-authored 216 publications receiving 13572 citations. Previous affiliations of Barbara Hoffmann include Leibniz Association.
Papers published on a yearly basis
Papers
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University of Copenhagen1, Utrecht University2, National and Kapodistrian University of Athens3, University of Ulm4, University of Düsseldorf5, Imperial College London6, Umeå University7, Norwegian Institute of Public Health8, University of Oslo9, Karolinska Institutet10, Aarhus University11, Cancer Epidemiology Unit12, Institut Gustave Roussy13, French Institute of Health and Medical Research14, University of Washington15, Swiss Tropical and Public Health Institute16, University of Turin17
TL;DR: The meta-analyses showed a statistically significant association between risk for lung cancer and PM10 and PM2·5, and no association between lungcancer and nitrogen oxides concentration or traffic intensity on the nearest street.
Abstract: Summary 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 Eff ects 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 traffi c indicators. We used Cox regression models with adjustment for potential confounders for cohort-specifi c analyses and random eff ects 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 signifi cant association between risk for lung cancer and PM10 (hazard ratio [HR] 1·22 [95% CI 1·03–1·45] per 10 μg/m³). For PM2·5 the HR was 1·18 (0·96–1·46) per 5 μg/m³. 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 traffi c 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/m³) or traffi c intensity on the nearest street (HR 1·00 [0·97–1·04] per 5000 vehicles per day).
1,257 citations
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Utrecht University1, University of Copenhagen2, University of Ulm3, University of Düsseldorf4, National and Kapodistrian University of Athens5, Imperial College London6, University College London7, Umeå University8, National Institutes of Health9, Norwegian Institute of Public Health10, University of Oslo11, Karolinska Institutet12, Aarhus University13, University Medical Center Utrecht14, Cancer Epidemiology Unit15, Swiss Tropical and Public Health Institute16, University of Basel17, Institut Gustave Roussy18, French Institute of Health and Medical Research19, University of Washington20, University of Turin21, Basque Government22
TL;DR: In this article, the authors investigated the association between natural-cause mortality and long-term exposure to several air pollutants, such as PM2.5, nitrogen oxides, and NOx.
1,056 citations
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Utrecht University1, Imperial College London2, Karolinska Institutet3, Vytautas Magnus University4, Flemish Institute for Technological Research5, University of Hasselt6, National and Kapodistrian University of Athens7, University of California, Berkeley8, Swiss Tropical and Public Health Institute9, University of Basel10, National Institutes of Health11, University of Manchester12, Norwegian Institute of Public Health13, University of Duisburg-Essen14, ARPA-E15, University of Washington16
TL;DR: Careful selection of monitoring sites, examination of influential observations and skewed variable distributions were essential for developing stable LUR models, which are used to estimate air pollution concentrations at the home addresses of participants in the health studies involved in ESCAPE.
Abstract: Land Use Regression (LUR) models have been used increasingly for modeling small-scale spatial variation in air pollution concentrations and estimating individual exposure for participants of cohort studies. Within the ESCAPE project, concentrations of PM(2.5), PM(2.5) absorbance, PM(10), and PM(coarse) were measured in 20 European study areas at 20 sites per area. GIS-derived predictor variables (e.g., traffic intensity, population, and land-use) were evaluated to model spatial variation of annual average concentrations for each study area. The median model explained variance (R(2)) was 71% for PM(2.5) (range across study areas 35-94%). Model R(2) was higher for PM(2.5) absorbance (median 89%, range 56-97%) and lower for PM(coarse) (median 68%, range 32- 81%). Models included between two and five predictor variables, with various traffic indicators as the most common predictors. Lower R(2) was related to small concentration variability or limited availability of predictor variables, especially traffic intensity. Cross validation R(2) results were on average 8-11% lower than model R(2). Careful selection of monitoring sites, examination of influential observations and skewed variable distributions were essential for developing stable LUR models. The final LUR models are used to estimate air pollution concentrations at the home addresses of participants in the health studies involved in ESCAPE.
861 citations
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Utrecht University1, Imperial College London2, National and Kapodistrian University of Athens3, University of Washington4, University of Basel5, Swiss Tropical and Public Health Institute6, University of Verona7, University of Crete8, National Institutes of Health9, University of Augsburg10, Vytautas Magnus University11, University of Manchester12, Norwegian Institute of Public Health13, ARPA-E14, University of Düsseldorf15, University of Duisburg-Essen16, Karolinska Institutet17, Umeå University18, University of Hasselt19, Flemish Institute for Technological Research20, University of California, Berkeley21
TL;DR: In this article, the authors estimate within-city variability in air pollution concentrations using Land Use Regression (LUR) models and show that LUR models are able to explain small-scale within city variations.
758 citations
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University of Edinburgh1, University of Bergen2, Harvard University3, University of Michigan4, Erasmus University Rotterdam5, Utrecht University6, University of Düsseldorf7, Katholieke Universiteit Leuven8, University of Basel9, Swiss Tropical and Public Health Institute10, University of Helsinki11, National Institute for Health and Welfare12, University of Maryland, Baltimore13, University of Sheffield14
TL;DR: An enduring positive association between long-term exposure to air pollution and total and cardiovascular mortality is established, mainly due to coronary artery disease.
Abstract: Air pollution has wide-ranging and deleterious effects on human health and is a major issue for the global community. The Global Burden of Disease study has described the worldwide impact of air pollution with as many as 3.1 million of 52.8 million all-cause and all-age deaths being attributable to ambient air pollution in the year 2010.1 Moreover, ambient air pollution ranked ninth among the modifiable disease risk factors, being listed above other commonly recognized factors, such as low physical activity, a high-sodium diet, high cholesterol, and drug use. Finally, air pollution accounts for 3.1% of global disability-adjusted life years, an index that measures the time spent in states of reduced health.1
Although it is intuitive that air pollution is an important stimulus for the development and exacerbation of respiratory diseases, such as asthma, chronic obstructive pulmonary disease, and lung cancer, there is generally less public awareness of its substantial impact on cardiovascular disease. Historically, the 1952 Great Smog of London led to an increase in cardiovascular death as well as deaths due to respiratory disease. Subsequent studies in the 1990s, such as the Harvard Six Cities2 and American Cancer Society cohort studies,2,3 established an enduring positive association between long-term exposure to air pollution and total and cardiovascular mortality, mainly due to coronary artery disease.4 In Europe, the first study that supported this association between long-term exposure and mortality was the Netherlands Cohort Study on Diet and Cancer.5 Associations with cardiovascular morbidity and mortality are also seen with short-term (e.g. day-to-day fluctuations) pollutant exposures of residents in large urban areas worldwide, including the United States of America6 …
584 citations
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TL;DR: The 11th edition of Harrison's Principles of Internal Medicine welcomes Anthony Fauci to its editorial staff, in addition to more than 85 new contributors.
Abstract: The 11th edition of Harrison's Principles of Internal Medicine welcomes Anthony Fauci to its editorial staff, in addition to more than 85 new contributors. While the organization of the book is similar to previous editions, major emphasis has been placed on disorders that affect multiple organ systems. Important advances in genetics, immunology, and oncology are emphasized. Many chapters of the book have been rewritten and describe major advances in internal medicine. Subjects that received only a paragraph or two of attention in previous editions are now covered in entire chapters. Among the chapters that have been extensively revised are the chapters on infections in the compromised host, on skin rashes in infections, on many of the viral infections, including cytomegalovirus and Epstein-Barr virus, on sexually transmitted diseases, on diabetes mellitus, on disorders of bone and mineral metabolism, and on lymphadenopathy and splenomegaly. The major revisions in these chapters and many
6,968 citations
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TL;DR: It is the opinion of the writing group that the overall evidence is consistent with a causal relationship between PM2.5 exposure and cardiovascular morbidity and mortality.
Abstract: In 2004, the first American Heart Association scientific statement on “Air Pollution and Cardiovascular Disease” concluded that exposure to particulate matter (PM) air pollution contributes to card...
5,227 citations
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TL;DR: This research examines the interaction between demand and socioeconomic attributes through Mixed Logit models and the state of art in the field of automatic transport systems in the CityMobil project.
Abstract: 2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52
4,784 citations
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TL;DR: It is suggested that if assessment of overdoses were left to house doctors there would be an increase in admissions to psychiatric units, outpatients, and referrals to social services, but for house doctors to assess overdoses would provide no economy for the psychiatric or social services.
Abstract: admission. This proportion could already be greater in some parts of the country and may increase if referrals of cases of self-poisoning increase faster than the facilities for their assessment and management. The provision of social work and psychiatric expertise in casualty departments may be one means of preventing unnecessary medical admissions without risk to the patients. Dr Blake's and Dr Bramble's figures do not demonstrate, however, that any advantage would attach to medical teams taking over assessment from psychiatrists except that, by implication, assessments would be completed sooner by staff working on the ward full time. What the figures actually suggest is that if assessment of overdoses were left to house doctors there would be an increase in admissions to psychiatric units (by 19°U), outpatients (by 5O°'), and referrals to social services (by 140o). So for house doctors to assess overdoses would provide no economy for the psychiatric or social services. The study does not tell us what the consequences would have been for the six patients who the psychiatrists would have admitted but to whom the house doctors would have offered outpatient appointments. E J SALTER
4,497 citations
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TL;DR: ABI is ankle-brachial (blood pressure) index and ABPM is ambulatory blood pressure monitoring as mentioned in this paper ; ACCORD is action to control cardiovascular risk in Diabetes and Vascular disease.
Abstract: ABI
: ankle–brachial (blood pressure) index
ABPM
: ambulatory blood pressure monitoring
ACCORD
: Action to Control Cardiovascular Risk in Diabetes
ACE-I
: angiotensin-converting enzyme inhibitor
ACS
: acute coronary syndromes
ADVANCE
: Action in Diabetes and Vascular disease: PreterAx
4,352 citations