18 results on '"Petersen KEN"'
Search Results
2. AUDITORS AND ANALYTICS: Are you taking full advantage of the many opportunities of data analytics?
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Petersen, Ken and Zitting, Dan
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Data mining -- Usage ,Internal auditing -- Methods -- Forecasts and trends ,Data warehousing/data mining ,Market trend/market analysis ,Banking, finance and accounting industries ,Business - Abstract
How can internal auditors identify opportunities for analytics use? PETERSEN In today's data-driven world, businesses face numerous challenges, from increased regulation and need for transparency to emerging risks from unexpected [...]
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- 2018
3. Morbidity, mortality, and quality of life for patients treated with levothyroxine
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Petersen, Ken, Bengtsson, Calle, Lapidus, Leif, Lindstedt, Goran, and Nystrom, Ernst
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Thyroxine -- Physiological aspects ,Middle aged women -- Health aspects ,Thyroid hormones -- Health aspects ,Health - Abstract
* In a population study of 1462 middle-aged women initiated in 1968 and 1969 we identified 29 women treated with levothyroxine from 1 to 28 years. In a 12-year follow-up in 1980 and 1981 we investigated the subjects for end-point myocardial infarction, diabetes mellitus, stroke, cancer, and death (the status of 99.7% of the initial participants was established). The women treated with levothyroxine showed no increase in morbidity or mortality. Of the 24 women still receiving levothyroxine in 1980 and 1981, 22 had serum thyrotropin and triiodothyronine concentrations within reference limits. These individuals were compared with the 968 women from the population study having no history of thyroid disease, and appeared identical as to laboratory and clinical data, with the exception of a slightly higher body mass, taller stature, and lower serum cholesterol concentration. The treated group did not differ in a life quality estimate based on 19 questions regarding life satisfaction and sensory function. We conclude that the levothyroxine-treated woman suffers no side effects from her life-long therapy. (Arch Intern Med. 1990;150:2077-2081)
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- 1990
4. Screening For Thyroid Disease [with Reply]
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Beckett, G. J., Caldwell, G., Toft, A. D., Fowler, P. B. S., Nyström, Ernst, Lindstedt, Göran, Eggertsen, Robert, Lundberg, Per-Arne, and Petersen, Ken
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- 1989
5. Thyroxine Replacement Treatment And Osteoporosis
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Fowler, P. B. S., Florkowski, C. M., Cramb, R., Nystrom, Ernst, Petersen, Ken, and Lindstedt, Göran
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- 1990
6. Beginning Kazakh
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Petersen, Ken
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- 2003
7. Backfires.
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Sandman, Greg, Stone, Tom, Farmer, John B., Petersen, Ken, Crump, Jerry, Barnhart, Chad, Heppner, Frank, Postovit, John S., Mackey, Dave, Tucker, Charles, Bradley, Philip, Tisshaw, Colin, Aserlind, Eric, Guy, Matthew, Skamangas, Mickey, Field, Randall H., Fox, Dannie, Nielsen, Joneen, Robinson, David, and Ferrara, Tom
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- 2018
8. Screening for thyroid disease in Swedish women
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Petersen, Ken, 1952
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- 1991
9. CORRESPONDENCE.
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Fletcher, Astrid, Nicholl, Claire, Beupitt, Christopher, Fowler, P.B.S., Florkowski, C.M., Cramb, R., Nystrom, Ernst, Petersen, Ken, Lindstedt, Goran, Lord, W.D., Henderson, Graham, Duncan, Alex, Komberg, Marit, Roberts, Jenny, Sim, Fiona, Vafidis, Gillian, Slisht, Peter, Cooper, M.A.C.S., and Davenport, P.J.
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MEDICINE ,OLDER people ,THYROXINE ,THROMBOLYTIC therapy - Abstract
Comments on several medical issues in Great Britain. Screening of elderly patients; Treatment of thyroxine replacement and osteoporosis; Dangers of thrombolysis.
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- 1990
10. Thyroid function evaluation in the mid '80s.
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Lindsted, Göran, Tisell, Lars-Erik, Nyström, Ernst, Petersen, Ken, Jagenburg, Rudolf, and Lundberg, Per-Arne
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- 1984
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11. A Nested Case-Control Study of Metabolically Defined Body Size Phenotypes and Risk of Colorectal Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)
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Murphy, N, Cross, A, Abubakar, M, Jenab, M, Aleksandrova, K, Boutron-Ruault, M, Dossus, L, Racine, A, Kühn, T, Katzke, V, Tjønneland, A, Petersen, K, Overvad, K, Quirós, JR, Jakszyn, P, Molina-Montes, E, Dorronsoro, M, Huerta, J, Barricarte, A, Khaw, K, Wareham, N, Travis, R, Trichopoulou, A, Lagiou, P, Trichopoulos, D, Masala, G, Krogh, V, Tumino, R, Vineis, P, Panico, S, Bueno-de-Mesquita, H, Siersema, P, Peeters, P, Ohlsson, B, Ericson, U, Palmqvist, R, Nyström, H, Weiderpass, E, Skeie, G, Freisling, H, Kong, S, Tsilidis, K, Muller, D, Riboli, E, Gunter, M, [Murphy,N, Cross,AJ, Vineis,P, Bueno-de-Mesquita,HB, Tsilidis,K, Riboli,E, Gunter,MJ] Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.[Abubakar,M] Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, United Kingdom. [Jenab,M, Freisling,M, Kong,SY, Mulle,DC, Gunter,MJ] International Agency for Research on Cancer, World Health Organization, Lyon, France. [Aleksandrova,K] Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Potsdam, Germany. [Boutron-Ruault,M, Dossus,L, Racine,A] Inserm, Nutrition, Hormones and Women’s Health, Centre for Research in Epidemiology and Population Health (CESP), U1018, Villejuif, France. Université Paris Sud, UMRS 1018, Villejuif, France. Institut Gustave Roussy, Villejuif, France. [Kühn,T, Katzke,VA] Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. [Tjønneland,A, Petersen,KEN] Danish Cancer Society Research Center, Copenhagen, Denmark. [Overvad,K] Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark. [Quirós,JR] Public Health Directorate, Asturias, Spain. [Jakszyn,P] Unit of Nutrition, Environment and Cancer, Catalan Institute of Oncology, Barcelona, Spain. [Molina-Montes,E] Andalusian School of Public Health, Granada, Spain. [Molina-Montes,E, Huerta,J, Barricarte,A] Biomedical Research Centre Network for Epidemiology and Public Health (CIBERESP), Madrid, Spain. [Dorronsoro,M] Public Health Direction and Biodonostia–CIBERESP, Basque Regional Health Department, Vitoria, Spain. [Huerta,J] Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain. [Barricarte,A] Navarre Public Health Institute, Pamplona, Spain. [Khaw,K] University of Cambridge, Cambridge, United Kingdom. [Wareham,N] MRC Epidemiology Unit, Cambridge, United Kingdom. [Travis,RC] Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom. [Trichopoulou,A, Trichopoulos,D] Hellenic Health Foundation, Athens, Greece. [Trichopoulou,A, Lagiou,P] Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece. [Trichopoulou,A, Lagiou,P, Trichopoulos,D] Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece. [Lagiou,P, Trichopoulos,D] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America. [Masala,G] Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Florence, Italy. [Krogh,V] Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. [Tumino,R] Cancer Registry and Histopathology Unit, Civic–M.P.Arezzo Hospital, Azienda Sanitaria Provinciale di Ragusa, Italy. [Vineis,P] HuGeF Foundation, Torino, Italy. [Panico,S] Dipartimento di Medicina Clinica e Sperimentale, Federico II University, Naples, Italy. [Bueno-de- Mesquita,HB] Department of Determinants of Chronic Diseases, 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 [Bueno-de-Mesquita,HB, Siersema,PD] Department of Gastroenterology and Hepatology, University Medical Centre Utrecht, Utrecht, The Netherlands. [Peeters,PH] Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands. [Ohlsson,B] Division of Internal Medicine, Department of Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Sweden. [Ericson,U] Diabetes and Cardiovascular Disease–Genetic Epidemiology, Department of Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Lund University, Sweden. [Palmqvist,R, Nyström,H] Medical Bioscience, Umeå University, Umeå, Sweden. [Weiderpass,E, Skeie,G] Department of Community Medicine, Faculty of Health Sciences, University of Tromsø–The Arctic University of Norway, Tromsø, Norway. [Weiderpass,E] Cancer Registry of Norway, Oslo, Norway. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Department of Genetic Epidemiology, Folkhälsan Research Center, Helsinki, Finland. [Tsilidis,K] Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece., Funding: The coordination of EPIC is financially supported by the European Commission (DGSANCO), and the International Agency for Research on Cancer., University Medical Center Utrecht, Imperial College Trust, Murphy, Neil, Cross, Amanda J, Abubakar, Mustapha, Jenab, Mazda, Aleksandrova, Krasimira, Boutron Ruault, Marie Christine, Dossus, Laure, Racine, Antoine, Kühn, Tilman, Katzke, Verena A, Tjønneland, Anne, Petersen, Kristina E. N, Overvad, Kim, Quirós, J. Ramón, Jakszyn, Paula, Molina Montes, Esther, Dorronsoro, Miren, Huerta, José María, Barricarte, Aurelio, Khaw, Kay Tee, Wareham, Nick, Travis, Ruth C, Trichopoulou, Antonia, Lagiou, Pagona, Trichopoulos, Dimitrio, Masala, Giovanna, Krogh, Vittorio, Tumino, Rosario, Vineis, Paolo, Panico, Salvatore, Bueno de Mesquita, H. Ba, Siersema, Peter D, Peeters, Petra H, Ohlsson, Bodil, Ericson, Ulrika, Palmqvist, Richard, Nyström, Hanna, Weiderpass, Elisabete, Skeie, Guri, Freisling, Heinz, Kong, So Yeon, Tsilidis, Kosta, Muller, David C, Riboli, Elio, Gunter, Marc J., Khaw, Kay-Tee [0000-0002-8802-2903], Wareham, Nicholas [0000-0003-1422-2993], and Apollo - University of Cambridge Repository
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Male ,Phenomena and Processes::Genetic Phenomena::Phenotype [Medical Subject Headings] ,Cell- och molekylärbiologi ,Obesidad ,Biochemistry ,Body Mass Index ,Tumours of the digestive tract Radboud Institute for Health Sciences [Radboudumc 14] ,Endocrinology ,Odds Ratio ,Insulin ,Prospective Studies ,Diseases::Pathological Conditions, Signs and Symptoms::Signs and Symptoms::Body Weight::Overweight [Medical Subject Headings] ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Vital Statistics::Morbidity::Prevalence [Medical Subject Headings] ,Adiposity ,VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801 ,C-Peptide ,Incidence ,11 Medical And Health Sciences ,Oncology ,Medicine ,Waist Circumference ,Fenotipo ,Human ,Logistic Model ,Colon ,Risk Assessment ,Hyperinsulinism ,Gastrointestinal Tumors ,Neoplasias Colorrectales ,Humans ,Comparative Study ,Diseases::Cardiovascular Diseases [Medical Subject Headings] ,Protective Factor ,Cancer och onkologi ,Chi-Square Distribution ,Biology and Life Sciences ,nutritional and metabolic diseases ,Diseases::Neoplasms::Neoplasms by Site::Digestive System Neoplasms::Gastrointestinal Neoplasms::Intestinal Neoplasms::Colorectal Neoplasms [Medical Subject Headings] ,Biomarker ,Hormones ,Diseases::Nutritional and Metabolic Diseases::Nutrition Disorders::Overnutrition::Obesity [Medical Subject Headings] ,Prospective Studie ,Logistic Models ,Case-Control Studies ,Cancer and Oncology ,Digestive System ,Biomarkers ,Cell and Molecular Biology ,Metabolic Processes ,Physiology ,Health Status ,Colorectal Neoplasm ,Health Statu ,Risk Factors ,Medicine and Health Sciences ,Body Size ,Multivariate Analysi ,Tamaño Corporal ,Enfermedades Cardiovasculares ,Medicine(all) ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Case-Control Studies [Medical Subject Headings] ,Research Support, Non-U.S. Gov't ,Estudios de Casos y Controles ,Estudios Prospectivos ,Middle Aged ,Multicenter Study ,Europe ,Phenotype ,Physiological Parameters ,Female ,Anatomy ,Colorectal Neoplasms ,Case-Control Studie ,Research Article ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Longitudinal Studies::Prospective Studies [Medical Subject Headings] ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Body Constitution::Body Weights and Measures::Body Size [Medical Subject Headings] ,Rectal Cancer ,Research Support, N.I.H., Extramural ,General & Internal Medicine ,Journal Article ,Diseases::Nutritional and Metabolic Diseases::Metabolic Diseases::Glucose Metabolism Disorders::Hyperinsulinism [Medical Subject Headings] ,Obesity ,Colorectal Cancer ,Diabetic Endocrinology ,Obesity, Metabolically Benign ,Hiperinsulinismo ,Risk Factor ,Body Weight ,Cancers and Neoplasms ,Protective Factors ,Gastrointestinal Tract ,Metabolism ,Sobrepeso ,Multivariate Analysis ,VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801 ,Prevalencia - Abstract
Background Obesity is positively associated with colorectal cancer. Recently, body size subtypes categorised by the prevalence of hyperinsulinaemia have been defined, and metabolically healthy overweight/obese individuals (without hyperinsulinaemia) have been suggested to be at lower risk of cardiovascular disease than their metabolically unhealthy (hyperinsulinaemic) overweight/obese counterparts. Whether similarly variable relationships exist for metabolically defined body size phenotypes and colorectal cancer risk is unknown. Methods and Findings The association of metabolically defined body size phenotypes with colorectal cancer was investigated in a case–control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolic health/body size phenotypes were defined according to hyperinsulinaemia status using serum concentrations of C-peptide, a marker of insulin secretion. A total of 737 incident colorectal cancer cases and 737 matched controls were divided into tertiles based on the distribution of C-peptide concentration amongst the control population, and participants were classified as metabolically healthy if below the first tertile of C-peptide and metabolically unhealthy if above the first tertile. These metabolic health definitions were then combined with body mass index (BMI) measurements to create four metabolic health/body size phenotype categories: (1) metabolically healthy/normal weight (BMI < 25 kg/m2), (2) metabolically healthy/overweight (BMI ≥ 25 kg/m2), (3) metabolically unhealthy/normal weight (BMI < 25 kg/m2), and (4) metabolically unhealthy/overweight (BMI ≥ 25 kg/m2). Additionally, in separate models, waist circumference measurements (using the International Diabetes Federation cut-points [≥80 cm for women and ≥94 cm for men]) were used (instead of BMI) to create the four metabolic health/body size phenotype categories. Statistical tests used in the analysis were all two-sided, and a p-value of, Gunter and colleagues analyse a large European dataset to determine how body size and metabolic profile associates with the risk of developing colorectal cancer., Editors' Summary Background Colorectal cancer is the third most common cancer worldwide and is a leading cause of cancer-related death, killing around 700,000 people every year. It develops when cells in the colon (the final part of the digestive system, which is also known as the large intestine or large bowel) or the rectum (the lower end of the colon) acquire genetic changes that allow them to divide uncontrollably to form a tumor and to move around the body (metastasize). Symptoms of colorectal cancer include blood in the stool, a change in bowel habits, and unexplained weight loss. Treatments for colorectal cancer include surgery, chemotherapy, and radiation. As with other types of cancer, these treatments are more likely to be successful if started when the tumor is very small. Consequently, many countries run screening programs that use colonoscopy, the fecal occult blood test, and other tests to detect the earliest signs of colorectal cancer in apparently healthy people. Why Was This Study Done? Being obese—having too much body fat—is associated with an increased colorectal cancer risk (other risk factors include age, having a family history of colorectal cancer, and eating a high-fat, low-fiber diet). Obesity is also associated with several other chronic diseases, and recent evidence suggests that some obese individuals have a higher risk of developing these diseases than others. For example, overweight/obese individuals who have hyperinsulinemia (abnormally high blood levels of insulin; “metabolically unhealthy”) seem to have a higher risk of cardiovascular disease than their non-hyperinsulinemic (“metabolically healthy”) overweight counterparts. If certain combinations of metabolic health status and body size (“metabolically defined body size phenotypes”) are also associated with colorectal cancer, measurement of insulin levels in conjunction with body fat (adiposity) measurements such as body mass index (BMI; an indicator of body fat calculated by dividing a person’s weight in kilograms by their height in meters squared) might improve colorectal cancer risk assessment. In this nested case–control study, the researchers assess the associations between metabolically defined body size phenotypes and colorectal cancer risk. A nested case–control study identifies everyone in a group (here, participants in the European Prospective Investigation into Cancer and Nutrition [EPIC] study) who has a specific condition, identifies matched individuals in the same group without the condition, and asks whether these controls and the cases differ in terms of a specific characteristic or outcome. What Did the Researchers Do and Find? The researchers matched 737 participants in the EPIC study who developed colorectal cancer after study enrollment with 737 controls and used serum concentrations of C-peptide, a marker of insulin secretion, and BMI measurements to classify each individual as metabolically healthy/normal weight, metabolically healthy/overweight, metabolically unhealthy/normal weight, or metabolically unhealthy/overweight. Specifically, the researchers categorized people as metabolically unhealthy if they had a C-peptide level above an arbitrarily chosen cut-off value based on the distribution of C-peptide levels in the control participants and as overweight if they had a BMI of ≥25 kg/m2 (the standard definition of overweight). Compared to metabolically healthy normal weight individuals, metabolically unhealthy normal weight and overweight individuals had an increased colorectal cancer risk; metabolically healthy overweight individuals had a similar colorectal cancer risk to metabolically healthy normal weight individuals. Among overweight individuals, metabolically healthy individuals had a lower colorectal cancer risk than metabolically unhealthy individuals. Finally, similar associations were seen when the researchers used waist circumference instead of BMI as the measure of adiposity. What Do These Findings Mean? These findings suggest that normal weight individuals with hyperinsulinemia (the metabolically unhealthy normal weight phenotype) have a higher risk of colorectal cancer than normal weight individuals without hyperinsulinemia. They also suggest that metabolically unhealthy overweight individuals have a higher risk of colorectal cancer than metabolically healthy overweight individuals. The accuracy of these findings may be limited by the method the researchers used to classify individuals as hyperinsulinemic—there is no universally accepted clinical definition for using C-peptide level to diagnose hyperinsulinemia. Nevertheless, these findings suggest that the assessment of insulin levels in conjunction with adiposity measures might be a better way to assess an individual’s colorectal cancer risk than simply measuring adiposity, and might help to identify those individuals at high risk of colorectal cancer who are most likely to benefit from targeted interventions designed to prevent the onset of clinical disease. Additional Information This list of resources contains links that can be accessed when viewing the PDF on a device or via the online version of the article at http://dx.doi.org/10.1371/journal.pmed.1001988. The US National Cancer Institute provides information for patients about all aspects of colorectal cancer; it also provides more detailed information colorectal cancer for health professionals and information on cancer risk and obesity The UK National Health Service Choices website has information and personal stories about colorectal cancer and information on obesity The not-for-profit organization Cancer Research UK provides information about colorectal cancer and about the association between cancer and obesity MedlinePlus provides links to further resources about colorectal cancer and about obesity Wikipedia has a page on hyperinsulinemia (note that Wikipedia is a free online encyclopedia that anyone can edit; available in several languages) More information about the EPIC study is available
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- 2016
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12. Cruciferous Vegetable Intake and Bulky DNA Damage within Non-Smokers and Former Smokers in the Gen-Air Study (EPIC Cohort).
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Peluso M, Munnia A, Russo V, Galli A, Pala V, Schouw YTV, Schulze MB, Weiderpass E, Tumino R, Saieva C, Exezarreta Pilar A, Aune D, Heath AK, Aglago E, Agudo A, Panico S, Petersen KEN, Tjønneland A, Cirera L, Rodriguez-Barranco M, Katzke V, Kaaks R, Ricceri F, Milani L, Vineis P, and Sacerdote C
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- DNA Damage, Diet, Dietary Fiber, Humans, Non-Smokers, Prospective Studies, Smokers, Smoking adverse effects, Vegetables, Brassicaceae, Neoplasms
- Abstract
Epidemiologic studies have indicated that cruciferous vegetables can influence the cancer risk; therefore, we examined with a cross-sectional approach the correlation between the frequent consumption of the total cruciferous vegetables and the formation of bulky DNA damage, a biomarker of carcinogen exposure and cancer risk, in the Gen-Air study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. DNA damage measurements were performed in the peripheral blood of 696 of those apparently healthy without cancer controls, including 379 never-smokers and 317 former smokers from seven European countries by the 32P-postlabeling assay. In the Gen-Air controls, the median intake of cruciferous vegetables was 6.16 (IQR 1.16−13.66) g/day, ranging from 0.37 (IQR 0−6.00) g/day in Spain to 11.34 (IQR 6.02−16.07) g/day in the UK. Based on this information, participants were grouped into: (a) high consumers (>20 g/day), (b) medium consumers (3−20 g/day) and (c) low consumers (<3.0 g/day). Overall, low cruciferous vegetable intake was correlated with a greater frequency of bulky DNA lesions, including benzo(a)pyrene, lactone and quinone-adducts and bulky oxidative lesions, in the adjusted models. Conversely, a high versus low intake of cruciferous vegetables was associated with a reduction in DNA damage (up to a 23% change, p = 0.032); this was particularly evident in former smokers (up to a 40% change, p = 0.008). The Generalized Linear Regression models indicated an overall Mean Ratio between the high and the low consumers of 0.78 (95% confidence interval, 0.64−0.97). The current study suggests that a higher intake of cruciferous vegetables is associated with a lower level of bulky DNA adducts and supports the potential for cancer prevention strategies through dietary habit changes aimed at increasing the consumption of cruciferous vegetables.
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- 2022
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13. Cohort profile and representativeness of participants in the Diet, Cancer and Health-Next Generations cohort study.
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Petersen KEN, Halkjær J, Loft S, Tjønneland A, and Olsen A
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- Cohort Studies, Female, Humans, Middle Aged, Socioeconomic Factors, Surveys and Questionnaires, Diet, Neoplasms epidemiology
- Abstract
The Diet, Cancer and Health-Next Generations (DCH-NG) study is a large population-based cohort study that was established as a resource for transgenerational research. The cohort is an extension of the Diet, Cancer and Health (DCH) cohort. The aim of this paper was to describe the study design and methods and to investigate the representativeness of participants by comparing participants with non-participants with emphasis on socioeconomic determinants. In 2015-2019, children (G1), their spouses (G1P) and grandchildren (G2) of DCH cohort members were invited to participate. Participants completed questionnaires, a physical examination and collection of biological material. Information on general and sociodemographic variables was obtained by linkage to administrative registries in Denmark. The cohort includes 39,554 adult participants with complete data collection. Participants are represented in different family structures including 2- and 3-generation relationships, offspring-parents trios and siblings. The odds ratio for participation was highest among G1, females, middle-aged and married individuals and individuals with the highest education, highest income, occupations requiring high-level skills and residency near a study centre. The different family structures allow a range of studies with cohort and transgenerational designs. The pattern of more likelihood of participation in higher socioeconomic groups was similar to the pattern of participation in the DCH cohort and the general patterns in population-based studies. Accordingly, the study population has some limitations as to being representative of the general population. Yet, the DCH-NG cohort will provide valuable insight on the association between risk factor-disease relationships and the role of heredity on these associations., (© 2022. Springer Nature B.V.)
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- 2022
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14. Association of Cycling With All-Cause and Cardiovascular Disease Mortality Among Persons With Diabetes: The European Prospective Investigation Into Cancer and Nutrition (EPIC) Study.
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Ried-Larsen M, Rasmussen MG, Blond K, Overvad TF, Overvad K, Steindorf K, Katzke V, Andersen JLM, Petersen KEN, Aune D, Tsilidis KK, Heath AK, Papier K, Panico S, Masala G, Pala V, Weiderpass E, Freisling H, Bergmann MM, Verschuren WMM, Zamora-Ros R, Colorado-Yohar SM, Spijkerman AMW, Schulze MB, Ardanaz EMA, Andersen LB, Wareham N, Brage S, and Grøntved A
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- Cardiovascular Diseases mortality, Cause of Death trends, Europe epidemiology, Female, Follow-Up Studies, Humans, Male, Middle Aged, Prospective Studies, Risk Factors, Survival Rate trends, Bicycling physiology, Cardiovascular Diseases prevention & control, Diabetes Mellitus rehabilitation, Exercise physiology, Neoplasms complications, Nutrition Assessment
- Abstract
Importance: Premature death from all causes and cardiovascular disease (CVD) causes is higher among persons with diabetes., Objective: To investigate the association between time spent cycling and all-cause and CVD mortality among persons with diabetes, as well as to evaluate the association between change in time spent cycling and risk of all-cause and CVD mortality., Design, Setting, and Participants: This prospective cohort study included 7459 adults with diabetes from the European Prospective Investigation into Cancer and Nutrition study. Questionnaires regarding medical history, sociodemographic, and lifestyle information were administered in 10 Western European countries from 1992 through 2000 (baseline examination) and at a second examination 5 years after baseline. A total of 5423 participants with diabetes completed both examinations. The final updated primary analysis was conducted on November 13, 2020., Exposures: The primary exposure was self-reported time spent cycling per week at the baseline examination. The secondary exposure was change in cycling status from baseline to the second examination., Main Outcomes and Measures: The primary and secondary outcomes were all-cause and CVD mortality, respectively, adjusted for other physical activity modalities, diabetes duration, and sociodemographic and lifestyle factors., Results: Of the 7459 adults with diabetes included in the analysis, the mean (SD) age was 55.9 (7.7) years, and 3924 (52.6%) were female. During 110 944 person-years of follow-up, 1673 deaths from all causes were registered. Compared with the reference group of people who reported no cycling at baseline (0 min/wk), the multivariable-adjusted hazard ratios for all-cause mortality were 0.78 (95% CI, 0.61-0.99), 0.76 (95% CI, 0.65-0.88), 0.68 (95% CI, 0.57-0.82), and 0.76 (95% CI, 0.63-0.91) for cycling 1 to 59, 60 to 149, 150 to 299, and 300 or more min/wk, respectively. In an analysis of change in time spent cycling with 57 802 person-years of follow-up, a total of 975 deaths from all causes were recorded. Compared with people who reported no cycling at both examinations, the multivariable-adjusted hazard ratios for all-cause mortality were 0.90 (95% CI, 0.71-1.14) in those who cycled and then stopped, 0.65 (95% CI, 0.46-0.92) in initial noncyclists who started cycling, and 0.65 (95% CI, 0.53-0.80) for people who reported cycling at both examinations. Similar results were observed for CVD mortality., Conclusion and Relevance: In this cohort study, cycling was associated with lower all-cause and CVD mortality risk among people with diabetes independent of practicing other types of physical activity. Participants who took up cycling between the baseline and second examination had a considerably lower risk of both all-cause and CVD mortality compared with consistent noncyclists.
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- 2021
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15. Soft Drink and Juice Consumption and Renal Cell Carcinoma Incidence and Mortality in the European Prospective Investigation into Cancer and Nutrition.
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Heath AK, Clasen JL, Jayanth NP, Jenab M, Tjønneland A, Petersen KEN, Overvad K, Srour B, Katzke V, Bergmann MM, Schulze MB, Masala G, Krogh V, Tumino R, Catalano A, Pasanisi F, Brustad M, Olsen KS, Skeie G, Luján-Barroso L, Rodríguez-Barranco M, Amiano P, Santiuste C, Barricarte Gurrea A, Axelson H, Ramne S, Ljungberg B, Watts EL, Huybrechts I, Weiderpass E, Riboli E, and Muller DC
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- Adult, Aged, Body Mass Index, Carbonated Beverages adverse effects, Carcinoma, Renal Cell etiology, Diet Surveys statistics & numerical data, Europe epidemiology, Feeding Behavior, Female, Follow-Up Studies, Fruit and Vegetable Juices adverse effects, Humans, Incidence, Kidney Neoplasms etiology, Male, Middle Aged, Obesity etiology, Prospective Studies, Risk Factors, Sweetening Agents adverse effects, Carbonated Beverages statistics & numerical data, Carcinoma, Renal Cell epidemiology, Fruit and Vegetable Juices statistics & numerical data, Kidney Neoplasms epidemiology, Obesity epidemiology
- Abstract
Background: Renal cell carcinoma (RCC) accounts for more than 80% of kidney cancers in adults, and obesity is a known risk factor. Regular consumption of sweetened beverages has been linked to obesity and several chronic diseases, including some types of cancer. It is uncertain whether soft drink and juice consumption is associated with risk of RCC. We investigated the associations of soft drink and juice consumption with RCC incidence and mortality in the European Prospective Investigation into Cancer and Nutrition (EPIC)., Methods: A total of 389,220 EPIC participants with median age of 52 years at recruitment (1991-2000) were included. Cox regression yielded adjusted HRs and 95% confidence intervals (CI) for RCC incidence and mortality in relation to intakes of juices and total, sugar-sweetened, and artificially sweetened soft drinks., Results: A total of 888 incident RCCs and 356 RCC deaths were identified. In models including adjustment for body mass index and energy intake, there was no higher risk of incident RCC associated with consumption of juices (HR per 100 g/day increment = 1.03; 95% CI, 0.97-1.09), total soft drinks (HR = 1.01; 95% CI, 0.98-1.05), sugar-sweetened soft drinks (HR = 0.99; 95% CI, 0.94-1.05), or artificially sweetened soft drinks (HR = 1.02; 95% CI, 0.96-1.08). In these fully adjusted models, none of the beverages was associated with RCC mortality (HR, 95% CI per 100 g/day increment 1.06, 0.97-1.16; 1.03, 0.98-1.09; 0.97, 0.89-1.07; and 1.06, 0.99-1.14, respectively)., Conclusions: Consumption of juices or soft drinks was not associated with RCC incidence or mortality after adjusting for obesity., Impact: Soft drink and juice intakes are unlikely to play an independent role in RCC development or mortality., (©2021 American Association for Cancer Research.)
- Published
- 2021
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16. Inflammatory potential of diet and risk of lymphoma in the European Prospective Investigation into Cancer and Nutrition.
- Author
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Solans M, Benavente Y, Saez M, Agudo A, Jakszyn P, Naudin S, Hosnijeh FS, Gunter M, Huybrechts I, Ferrari P, Besson C, Mahamat-Saleh Y, Boutron-Ruault MC, Kühn T, Kaaks R, Boeing H, Lasheras C, Sánchez MJ, Amiano P, Chirlaque MD, Ardanaz E, Schmidt JA, Vineis P, Riboli E, Trichopoulou A, Karakatsani A, Valanou E, Masala G, Agnoli C, Tumino R, Sacerdote C, Mattiello A, Skeie G, Weiderpass E, Jerkeman M, Dias JA, Späth F, Nilsson LM, Dahm CC, Overvad K, Petersen KEN, Tjønneland A, de Sanjose S, Vermeulen R, Nieters A, and Casabonne D
- Subjects
- Adult, Aged, Causality, Cohort Studies, Europe, Female, Humans, Male, Middle Aged, Prospective Studies, Risk Factors, Diet adverse effects, Inflammation pathology, Lymphoma epidemiology, Lymphoma pathology, Nutritional Status
- Abstract
Introduction: Chronic inflammation plays a critical role in lymphomagenesis and several dietary factors seem to be involved its regulation. The aim of the current study was to assess the association between the inflammatory potential of the diet and the risk of lymphoma and its subtypes in the European Investigation into Cancer and Nutrition (EPIC) study., Methods: The analysis included 476,160 subjects with an average follow-up of 13.9 years, during which 3,136 lymphomas (135 Hodgkin lymphoma (HL), 2606 non-Hodgkin lymphoma (NHL) and 395 NOS) were identified. The dietary inflammatory potential was assessed by means of an inflammatory score of the diet (ISD), calculated using 28 dietary components and their corresponding inflammatory weights. The association between the ISD and lymphoma risk was estimated by hazard ratios (HR) and 95% confidence intervals (CI) calculated by multivariable Cox regression models adjusted for potential confounders., Results: The ISD was not associated with overall lymphoma risk. Among lymphoma subtypes, a positive association between the ISD and mature B-cell NHL (HR for a 1-SD increase: 1.07 (95% CI 1.01; 1.14), p trend = 0.03) was observed. No statistically significant association was found among other subtypes. However, albeit with smaller number of cases, a suggestive association was observed for HL (HR for a 1-SD increase = 1.22 (95% CI 0.94; 1.57), p trend 0.13)., Conclusions: Our findings suggested that a high ISD score, reflecting a pro-inflammatory diet, was modestly positively associated with the risk of B-cell lymphoma subtypes. Further large prospective studies on low-grade inflammation induced by diet are warranted to confirm these findings.
- Published
- 2020
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17. Coffee and tea drinking in relation to the risk of differentiated thyroid carcinoma: results from the European Prospective Investigation into Cancer and Nutrition (EPIC) study.
- Author
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Zamora-Ros R, Alghamdi MA, Cayssials V, Franceschi S, Almquist M, Hennings J, Sandström M, Tsilidis KK, Weiderpass E, Boutron-Ruault MC, Hammer Bech B, Overvad K, Tjønneland A, Petersen KEN, Mancini FR, Mahamat-Saleh Y, Bonnet F, Kühn T, Fortner RT, Boeing H, Trichopoulou A, Bamia C, Martimianaki G, Masala G, Grioni S, Panico S, Tumino R, Fasanelli F, Skeie G, Braaten T, Lasheras C, Salamanca-Fernández E, Amiano P, Chirlaque MD, Barricarte A, Manjer J, Wallström P, Bueno-de-Mesquita HB, Peeters PH, Khaw KT, Wareham NJ, Schmidt JA, Aune D, Byrnes G, Scalbert A, Agudo A, and Rinaldi S
- Subjects
- Adult, Aged, Cohort Studies, Europe epidemiology, Female, Humans, Male, Middle Aged, Prospective Studies, Risk, Surveys and Questionnaires, Adenocarcinoma, Papillary epidemiology, Coffee, Nutrition Assessment, Tea, Thyroid Neoplasms epidemiology
- Abstract
Purpose: Coffee and tea constituents have shown several anti-carcinogenic activities in cellular and animal studies, including against thyroid cancer (TC). However, epidemiological evidence is still limited and inconsistent. Therefore, we aimed to investigate this association in a large prospective study., Methods: The study was conducted in the EPIC (European Prospective Investigation into Cancer and Nutrition) cohort, which included 476,108 adult men and women. Coffee and tea intakes were assessed through validated country-specific dietary questionnaires., Results: During a mean follow-up of 14 years, 748 first incident differentiated TC cases (including 601 papillary and 109 follicular TC) were identified. Coffee consumption (per 100 mL/day) was not associated either with total differentiated TC risk (HR
calibrated 1.00, 95% CI 0.97-1.04) or with the risk of TC subtypes. Tea consumption (per 100 mL/day) was not associated with the risk of total differentiated TC (HRcalibrated 0.98, 95% CI 0.95-1.02) and papillary tumor (HRcalibrated 0.99, 95% CI 0.95-1.03), whereas an inverse association was found with follicular tumor risk (HRcalibrated 0.90, 95% CI 0.81-0.99), but this association was based on a sub-analysis with a small number of cancer cases., Conclusions: In this large prospective study, coffee and tea consumptions were not associated with TC risk.- Published
- 2019
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18. Validity of physical activity and cardiorespiratory fitness in the Danish cohort "Diet, Cancer and Health-Next Generations".
- Author
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Lerche L, Olsen A, Petersen KEN, Rostgaard-Hansen AL, Dragsted LO, Nordsborg NB, Tjønneland A, and Halkjaer J
- Subjects
- Adult, Cohort Studies, Denmark, Exercise Test, Female, Humans, Male, Middle Aged, Sports, Surveys and Questionnaires, Young Adult, Cardiorespiratory Fitness, Exercise, Oxygen Consumption
- Abstract
Valid assessments of physical activity (PA) and cardiorespiratory fitness (CRF) are essential in epidemiological studies to define dose-response relationship for formulating thorough recommendations of an appropriate pattern of PA to maintain good health. The aim of this study was to validate the Danish step test, the physical activity questionnaire Active-Q, and self-rated fitness against directly measured maximal oxygen uptake (VO
2 max). A population-based subsample (n=125) was included from the "Diet, Cancer and Health-Next Generations" (DCH-NG) cohort which is under establishment. Validity coefficients, which express the correlation between measured and "true" exposure, were calculated, and misclassification across categories was evaluated. The validity of the Danish step test was moderate (women: r=.66, and men: r=.56); however, men were systematically underestimated (43% misclassification). When validating the questionnaire-derived measures of PA, leisure-time physical activity was not correlated with VO2 max. Positive correlations were found for sports overall, but these were only significant for men: total hours per week of sports (r=.26), MET-hours per week of sports (r=.28) and vigorous sports (0.28) alone were positively correlated with VO2 max. Finally, the percentage of misclassification was low for self-rated fitness (women: 9% and men: 13%). Thus, self-rated fitness was found to be a superior method to the Danish step test, as well as being less cost prohibitive and more practical than the VO2 max method. Finally, even if correlations were low, they support the potential for questionnaire outcomes, particularly sports, vigorous sports, and self-rated fitness to be used to estimate CRF., (© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)- Published
- 2017
- Full Text
- View/download PDF
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