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Von Holle A, Adami HO, Baglietto L, Berrington de Gonzalez A, Bertrand KA, Blot W, Chen Y, DeHart JC, Dossus L, Eliassen AH, Fournier A, Garcia-Closas M, Giles G, Guevara M, Hankinson SE, Heath A, Jones ME, Joshu CE, Kaaks R, Kirsh VA, Kitahara CM, Koh WP, Linet MS, Park HL, Masala G, Mellemkjaer L, Milne RL, O'Brien KM, Palmer JR, Riboli E, Rohan TE, Shrubsole MJ, Sund M, Tamimi R, Tin Tin S, Visvanathan K, Vermeulen RC, Weiderpass E, Willett WC, Yuan JM, Zeleniuch-Jacquotte A, Nichols HB, Sandler DP, Swerdlow AJ, Schoemaker MJ, Weinberg CR. BMI and breast cancer risk around age at menopause. Cancer Epidemiol 2024; 89:102545. [PMID: 38377945 PMCID: PMC10942753 DOI: 10.1016/j.canep.2024.102545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 11/27/2023] [Revised: 02/01/2024] [Accepted: 02/05/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND A high body mass index (BMI, kg/m2) is associated with decreased risk of breast cancer before menopause, but increased risk after menopause. Exactly when this reversal occurs in relation to menopause is unclear. Locating that change point could provide insight into the role of adiposity in breast cancer etiology. METHODS We examined the association between BMI and breast cancer risk in the Premenopausal Breast Cancer Collaborative Group, from age 45 up to breast cancer diagnosis, loss to follow-up, death, or age 55, whichever came first. Analyses included 609,880 women in 16 prospective studies, including 9956 who developed breast cancer before age 55. We fitted three BMI hazard ratio (HR) models over age-time: constant, linear, or nonlinear (via splines), applying piecewise exponential additive mixed models, with age as the primary time scale. We divided person-time into four strata: premenopause; postmenopause due to natural menopause; postmenopause because of interventional loss of ovarian function (bilateral oophorectomy (BO) or chemotherapy); postmenopause due to hysterectomy without BO. Sensitivity analyses included stratifying by BMI in young adulthood, or excluding women using menopausal hormone therapy. RESULTS The constant BMI HR model provided the best fit for all four menopausal status groups. Under this model, the estimated association between a five-unit increment in BMI and breast cancer risk was HR=0.87 (95% CI: 0.85, 0.89) before menopause, HR=1.00 (95% CI: 0.96, 1.04) after natural menopause, HR=0.99 (95% CI: 0.93, 1.05) after interventional loss of ovarian function, and HR=0.88 (95% CI: 0.76, 1.02) after hysterectomy without BO. CONCLUSION The BMI breast cancer HRs remained less than or near one during the 45-55 year age range indicating that the transition to a positive association between BMI and risk occurs after age 55.
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Affiliation(s)
- Ann Von Holle
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Hans-Olov Adami
- Clinical Effectiveness Group, Institute of Health and Society, University of Oslo, Oslo, Norway; Department of Medical Epidemiology and Biostatistics, Karolinksa Institutet, Stockholm, Sweden
| | - Laura Baglietto
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | | | - William Blot
- Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yu Chen
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Jessica Clague DeHart
- School of Community and Global Health, Claremont Graduate University, Claremont, CA, USA
| | - Laure Dossus
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Agnes Fournier
- Centre for Research in Epidemiology and Statistics, Paris, France
| | - Montse Garcia-Closas
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Graham Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Marcela Guevara
- Instituto de Salud Pública y Laboral de Navarra, Pamplona, Spain
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA
| | - Alicia Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Corinne E Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, DKFZ, Heidelberg, Germany
| | | | - Cari M Kitahara
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
| | - Martha S Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Hannah Lui Park
- Department of Pathology and Laboratory Medicine, Department of Epidemiology, UC Irvine School of Medicine, Irvine, CA, USA
| | - Giovanna Masala
- Institute for the Study and Prevention of Cancer, Florence, Italy
| | - Lene Mellemkjaer
- Diet, Cancer and Health, Danish Cancer Institute, Copenhagen, Denmark
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Julie R Palmer
- Slone Epidemiology Center, Boston University, Boston, MA, USA
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | | | | | - Malin Sund
- Department of Surgical and perioperative Sciences/Surgery, Umea University, Sweden
| | - Rulla Tamimi
- Department of Population Health Sciences, Weill Cornell Medical College, NY, USA
| | - Sandar Tin Tin
- Cancer Epidemiology Unit, Oxford Population Health, University of Oxford, United Kingdom
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Roel Ch Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Walter C Willett
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jian-Min Yuan
- Division of Cancer Control and Population Science, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA, USA; Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Hazel B Nichols
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom; Division of Breast Cancer Research, The Institute of Cancer Research, London, United Kingdom
| | | | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
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Visser AE, D'Ovidio F, Peters S, Vermeulen RC, Beghi E, Chiò A, Veldink JH, Logroscino G, Hardiman O, van den Berg LH. Multicentre, population-based, case-control study of particulates, combustion products and amyotrophic lateral sclerosis risk. J Neurol Neurosurg Psychiatry 2019; 90:854-860. [PMID: 30850472 DOI: 10.1136/jnnp-2018-319779] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Revised: 12/01/2018] [Accepted: 01/21/2019] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To investigate whether exposure to particulates and combustion products may explain the association between certain occupations and amyotrophic lateral sclerosis (ALS) risk in a large, multicentre, population-based, case-control study, based on full job histories, using job-exposure matrices, with detailed information on possible confounders. METHODS Population-based patients with ALS and controls were recruited from five registries in the Netherlands, Ireland and Italy. Demographics and data regarding educational level, smoking, alcohol habits and lifetime occupational history were obtained using a validated questionnaire. Using job-exposure matrices, we assessed occupational exposure to silica, asbestos, organic dust, contact with animals or fresh animal products, endotoxins, polycyclic aromatic hydrocarbons and diesel motor exhaust. Multivariate logistic regression models adjusting for confounding factors were used to determine the association between these exposures and ALS risk. RESULTS We included 1557 patients and 2922 controls. Associations were positive for all seven occupational exposures (ORs ranging from 1.13 to 1.73 for high vs never exposed), and significant on the continuous scale for silica, organic dust and diesel motor exhaust (p values for trend ≤0.03). Additional analyses, adding an exposure (one at a time) to the model in the single exposure analysis, revealed a stable OR for silica. We found similar results when patients with a C9orf72 mutation were excluded. CONCLUSION In a large, multicentre study, using harmonised methodology to objectively quantify occupational exposure to particulates and combustion products, we found an association between ALS risk and exposure to silica, independent of the other occupational exposures studied.
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Affiliation(s)
- Anne E Visser
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Fabrizio D'Ovidio
- Rita Levi Montalcini Department of Neuroscience, University of Torino, Torino, Italy
| | - Susan Peters
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands.,Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Roel Ch Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Ettore Beghi
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Adriano Chiò
- Rita Levi Montalcini Department of Neuroscience, University of Torino, Torino, Italy
| | - Jan H Veldink
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Giancarlo Logroscino
- Unit of Neurodegenerative Diseases, Department of Clinical Research in Neurology, University of Bari 'Aldo Moro', Pia Fondazione Cardinale G Panico, Lecce, Italy.,Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College, Dublin, Ireland
| | - Leonard H van den Berg
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
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Riso L, Kaaks R, Kühn T, Sookthai D, Forsgren L, Trupp M, Trichopoulou A, La Vecchia C, Karakatsani A, Gavrila D, Ferrari P, Freisling H, Petersson J, Lewan S, Vermeulen RC, Panico S, Masala G, Ardanaz E, Krogh V, Perneczky R, Middleton LT, Mokoroa O, Sacerdote C, Sieri S, Hayat SA, Brayne C, Riboli E, Vineis P, Gallo V, Katzke VA. General and abdominal adiposity and the risk of Parkinson's disease: A prospective cohort study. Parkinsonism Relat Disord 2019; 62:98-104. [PMID: 30772279 DOI: 10.1016/j.parkreldis.2019.01.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 01/21/2019] [Accepted: 01/22/2019] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Due to demographic change, an increase in the frequency of Parkinson's disease (PD) patients is expected in the future and, thus, the identification of modifiable risk factors is urgently needed. We aimed to examine the associations of body mass index (BMI) and waist circumference (WC) with incident PD. METHODS In 13 of the 23 centers of the European Prospective Investigation into Cancer and Nutrition (EPIC) study, a total of 734 incident cases of PD were identified between 1992 and 2012 with a mean follow-up of 12 years. Cox proportional hazards regression was used to calculate hazard ratios (HR) with 95% confidence intervals (CI). We modelled anthropometric variables as continuous and categorical exposures and performed subgroup analyses by potential effect modifiers including sex and smoking. RESULTS We found no association between BMI, WC and incident PD, neither among men nor among women. Among never and former smokers, BMI and waist circumference were also not associated with PD risk. For male smokers, however, we observed a statistically significant inverse association between BMI and PD risk (HR 0.51, 95%CI: 0.30, 0.84) and the opposite for women, i.e. a significant direct association of BMI (HR 1.79, 95%CI: 1.04, 3.08) and waist circumference (HR 1.64, 95%CI: 1.03, 2.61) with risk of PD. CONCLUSION Our data revealed no association between excess weight and PD risk but a possible interaction between anthropometry, sex and smoking.
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Affiliation(s)
- Lukas Riso
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Germany
| | - Disorn Sookthai
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Germany
| | - Lars Forsgren
- Department of Pharmacology and Clinical Neuroscience, Department of Biobank Research, Umeå University, Sweden
| | - Miles Trupp
- Department of Pharmacology and Clinical Neuroscience, Department of Biobank Research, Umeå University, Sweden
| | | | - Carlo La Vecchia
- Hellenic Health Foundation, Athens, Greece; Department of Clinical Sciences and Community Health Università degli Studi di Milano, Italy
| | - Anna Karakatsani
- Hellenic Health Foundation, Athens, Greece; 2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, "ATTIKON" University Hospital, Haidari, Greece
| | - Diana Gavrila
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Pietro Ferrari
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer, Lyon, France
| | - Heinz Freisling
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer, Lyon, France
| | | | | | - Roel Ch Vermeulen
- Julius Centre for Public Health Sciences and Primary Care, University Medical Centre, Utrecht, the Netherlands; Institute for Risk Assessment Science, Division of Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia Frederico II Univeristy, Naples, Italy
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Cancer Research and Prevention Institute ISPO, Florence, Italy
| | - Eva Ardanaz
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Navarra Public Health Institute, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Robert Perneczky
- School of Public Health, Imperial College London, UK; Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany
| | | | - Olatz Mokoroa
- Public Health and Addictions Directorate, Basque Government, Vitoria-Gasteiz, BioDonostia Health Research Institute, Donostia-San Sebastian, Spain
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Sabrina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Shabina A Hayat
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge, Cambridge, United Kingdom
| | - Carol Brayne
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge, Cambridge, United Kingdom
| | - Elio Riboli
- School of Public Health, Imperial College London, UK
| | - Paolo Vineis
- School of Public Health, Imperial College London, UK
| | - Valentina Gallo
- Centre for Primary Care and Public Health, Blizard Institute, Queen Mary University of London, London, UK; School of Public Health, Imperial College London, UK
| | - Verena A Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Germany.
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Vermeulen RC, Nijman HLI, van de Sande R, Lohuis-Heesink HAGM. [Associations of short-term evaluation assessments and patient characteristics with the use of coercive measures]. Tijdschr Psychiatr 2016; 58:632-640. [PMID: 27639885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
BACKGROUND Dutch mental health care institutes are currently making a tremendous effort to reduce the number of coercive measures they impose, such as seclusion. Despite this effort, a group of patients are still being subjected to enforced medication or seclusion. AIM To obtain more knowledge about which patient characteristics are associated with coercive measures and thereby to identify signs that could be acted upon at an earlier stage to prevent deterioration of the patient's condition and reduce the need for coercive measures. METHOD We performed a prospective, naturalistic three-month study involving patients in two acute psychiatric admission wards. To collect the data we required, we used two short-term risk-assessment instruments: the Brøset Violence Checklist (BVC) and the Kennedy Axis V (KA-V). By means of statistical analyses we investigated which patient characteristics were associated with the use of coercive measures. RESULTS Of the 179 patients, 52 patients (29%) were subjected to a coercive measure during the admission procedure. The following patient characteristics were found to be associated with coercive measures: a bipolar disorder, involuntarily admission, display of physical violence just before admission, scores on the BVC and the KA-V items assessing 'social skills' and 'violence'. The two BVC items 'attacks on objects' and 'display of physical violence just before admission' were the ones most strongly associated with seclusion. CONCLUSION Although the sensitivity of the regression model was modest, the associated patient characteristics, combined with the two short-term risk assessment scores, may be helpful for identifying at an early stage those patients who run a high risk of being subjected to coercive measures.
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De Matteis S, Consonni D, Lubin JH, Tucker M, Peters S, Vermeulen RC, Kromhout H, Bertazzi PA, Caporaso NE, Pesatori AC, Wacholder S, Landi MT. Impact of occupational carcinogens on lung cancer risk in a general population. Int J Epidemiol 2012; 41:711-21. [PMID: 22467291 DOI: 10.1093/ije/dys042] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Exposure to occupational carcinogens is an important preventable cause of lung cancer. Most of the previous studies were in highly exposed industrial cohorts. Our aim was to quantify lung cancer burden attributable to occupational carcinogens in a general population. METHODS We applied a new job-exposure matrix (JEM) to translate lifetime work histories, collected by personal interview and coded into standard job titles, into never, low and high exposure levels for six known/suspected occupational lung carcinogens in the Environment and Genetics in Lung cancer Etiology (EAGLE) population-based case-control study, conducted in Lombardy region, Italy, in 2002-05. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated in men (1537 cases and 1617 controls), by logistic regression adjusted for potential confounders, including smoking and co-exposure to JEM carcinogens. The population attributable fraction (PAF) was estimated as impact measure. RESULTS Men showed an increased lung cancer risk even at low exposure to asbestos (OR: 1.76; 95% CI: 1.42-2.18), crystalline silica (OR: 1.31; 95% CI: 1.00-1.71) and nickel-chromium (OR: 1.18; 95% CI: 0.90-1.53); risk increased with exposure level. For polycyclic aromatic hydrocarbons, an increased risk (OR: 1.64; 95% CI: 0.99-2.70) was found only for high exposures. The PAFs for any exposure to asbestos, silica and nickel-chromium were 18.1, 5.7 and 7.0%, respectively, equivalent to an overall PAF of 22.5% (95% CI: 14.1-30.0). This corresponds to about 1016 (95% CI: 637-1355) male lung cancer cases/year in Lombardy. CONCLUSIONS These findings support the substantial role of selected occupational carcinogens on lung cancer burden, even at low exposures, in a general population.
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Affiliation(s)
- Sara De Matteis
- Unit of Epidemiology, Department of Preventive Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico and EPOCA Research Centre, Department of Occupational and Environmental Health, Università degli Studi di Milano, Milan, Italy
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Vermeulen RC, Scholte HR, Bezemer PD. Cognitive behaviour therapy for chronic fatigue syndrome. Lancet 2001; 358:238; author reply 240-1. [PMID: 11480427 DOI: 10.1016/s0140-6736(01)05419-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Wilkinson PN, Henstock DR, Browne IW, Polatidis AG, Augusto P, Readhead AC, Pearson TJ, Xu W, Taylor GB, Vermeulen RC. Limits on the cosmological abundance of supermassive compact objects from a search for multiple imaging in compact radio sources. Phys Rev Lett 2001; 86:584-587. [PMID: 11177887 DOI: 10.1103/physrevlett.86.584] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2000] [Indexed: 05/23/2023]
Abstract
Using very long baseline interferometry we have searched a sample of 300 compact radio sources for examples of multiple imaging produced by gravitational lensing; no multiple images were found with separations in the angular range 1.5--50 milliarcsec. This null result allows us to place a limit on the cosmological abundance of intergalactic supermassive compact objects in the mass range approximately 10(6)M( middle dot in circle) to approximately 10(8)M( middle dot in circle); such objects cannot make up more than approximately 1% of the closure density ( 95% confidence). A uniformly distributed population of supermassive black holes forming soon after the big bang does not, therefore, contribute significantly to the dark matter content of the Universe.
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Affiliation(s)
- P N Wilkinson
- University of Manchester, Jodrell Bank Observatory, Macclesfield, Cheshire SK11 9DL, United Kingdom
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8
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Pihlström YM, Vermeulen RC, Taylor GB, Conway JE. H i Absorption in the Steep-Spectrum Superluminal Quasar 3C 216. Astrophys J 1999; 525:L13-L16. [PMID: 10511502 DOI: 10.1086/312331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
The search for H i absorption in strong compact steep-spectrum sources is a natural way to probe the neutral gas contents in young radio sources. In turn, this may provide information about the evolution of powerful radio sources. The recently improved capabilities of the Westerbork Synthesis Radio Telescope have made it possible to detect a 0.31% (19 mJy) deep neutral atomic hydrogen absorption line associated with the steep-spectrum superluminal quasar 3C 216. The redshift (z=0.67) of the source shifts the frequency of the 21 cm line down to the ultra-high-frequency (UHF) band (850 MHz). The exact location of the H i-absorbing gas remains to be determined by spectral line VLBI observations at 850 MHz. We cannot exclude that the gas might be extended on galactic scales, but we think it is more likely to be located in the central kiloparsec. Constraints from the lack of X-ray absorption probably rule out obscuration of the core region, and we argue that the most plausible site for the H i absorption is in the jet-cloud interaction observed in this source.
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9
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Vermeulen RC. [Risks from silicone breast implants unproven]. Ned Tijdschr Geneeskd 1999; 143:587. [PMID: 10321279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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Abstract
Predictions for the apparent velocity statistics under simple beaming models are presented and compared to the observations. The potential applications for tests of unification models and for cosmology (source counts, measurements of the Hubble constant H0 and the deceleration parameter q0) are discussed. First results from a large homogeneous survey are presented. The data do not show compelling evidence for the existence of intrinsically different populations of galaxies, BL Lacertae objects, or quasars. Apparent velocities betaapp in the range 1-5 h-1, where h = H0/100 km.s-1.Mpc-1 [1 megaparsec (Mpc) = 3.09 x 10(22) m], occur with roughly equal frequency; higher values, up to betaapp = 10 h-1, are rather more scarce than appeared to be the case from earlier work, which evidently concentrated on sources that are not representative of the general population. The betaapp distribution suggests that there might be a skewed distribution of Lorentz factors over the sample, with a peak at gammab approximately 2 h-1 and a tail up to at least gammab approximately 10 h-1. There appears to be a clearly rising upper envelope to the betaapp distribution when plotted as a function of observed 5-GHz luminosity; a combination of source counts and the apparent velocity statistics in a larger sample could provide much insight into the properties of radio jet sources.
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Affiliation(s)
- R C Vermeulen
- Owens Valley Radio Observatory, California Institute of Technology, Pasadena, CA 91125, USA
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11
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Romney JD, Benson JM, Dhawan V, Kellermann KI, Vermeulen RC, Walker RC. Structure and evolution of the compact radio source in NGC 1275. Proc Natl Acad Sci U S A 1995; 92:11360-3. [PMID: 11607597 PMCID: PMC40399 DOI: 10.1073/pnas.92.25.11360] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Investigations of the fine-scale structure in the compact nucleus of the radio source 3C 84 in NGC 1275 (New General Catalogue number) are reported. Structural monitoring observations beginning as early as 1976, and continuing to the present, revealed subluminal motions in a jet-like relatively diffuse region extending away from a flat-spectrum core. A counterjet feature was discovered in 1993, and very recent nearly simultaneous studies have detected the same feature at five frequencies ranging from 5 to 43 GHz. The counterjet exhibits a strong low-frequency cutoff, giving this region of the source an inverted spectrum. The observations are consistent with a physical model in which the cutoff arises from free-free absorption in a volume that surrounds the core but obscures only the counterjet feature. If such a model is confirmed, very-long-baseline radio interferometry observations can then be used to probe the accretion region, outside the radio jet, on parsec scales.
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Affiliation(s)
- J D Romney
- National Radio Astronomy Observatory, Socorro, NM 87801, USA
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Abstract
We present the first direct measurements of bidirectional motions in an extragalactic radio jet. The radio source 1946+708 is a compact symmetric object with striking S-symmetry identified with a galaxy at a redshift of 0.101. From observations 2 years apart we have determined the velocities of four compact components in the jet, the fastest of which has an apparent velocity of 1.09 h-1c. By pairing up the components, assuming they were simultaneously ejected in opposite directions, we derive a 1 lower limit on the Hubble constant, H0 > 42 km.s-1.Mpc-1.
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Affiliation(s)
- G B Taylor
- California Institute of Technology, Pasadena, CA 91125, USA
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Abstract
Placentas after uneventful pregnancies were perfused under physiologic pressure in the fetal vessels, expanded to their predelivery volume, fixated with 4% formaldehyde, and compared to their ultrasound images in pregnancy. The placentas showed a side arrangement of the fetal cotyledons in contact with the basal plate. The centers of the cotyledons showed an empty space in which the spiral arteries ended. These spaces in the placenta corresponded with transsonic areas of ultrasound. The central spaces were surrounded by a relatively dense shell of villi containing the more or less fibrotic stem villi. This explained the areas of increased echo-density, as seen by ultrasound during the last trimester of pregnancy. The fetal cotyledons, composed of a central cavity and a dense villous shell, were separated by a reticular area. The veins ended at the basal plate in these intercotyledonary areas.
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Vermeulen RC, Kurver PH, Arts NF, Van Kessel H, Wilson GR, Klopper A. The relationship between the surface area of the trophoblast and some placental products. Placenta 1982; 3:359-66. [PMID: 6184710 DOI: 10.1016/s0143-4004(82)80029-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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