37 results on '"Sørensen, Thorkild I. A."'
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2. Birth Cohort Effect on the Obesity Epidemic in Denmark
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Olsen, Lina W., Baker, Jennifer L., Holst, Claus, and Sørensen, Thorkild I. A.
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- 2006
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3. Changes in Alcohol Intake and Mortality: A Longitudinal Population-Based Study
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Grønbœk, Morten, Johansen, Ditte, Becker, Ulrik, Hein, Hans Ole, Schnohr, Peter, Jensen, Gorm, Vestbo, Jørgen, and Sørensen, Thorkild I. A.
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- 2004
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4. From fat cells through an obesity theory
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Sørensen, Thorkild I. A.
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Obesity -- Research ,Adipocytes -- Research ,Physiological research ,Nutrition ,Drinking (Alcoholic beverages) ,Epidemiology ,Universities and colleges ,Public health ,Food/cooking/nutrition ,Health - Abstract
Author(s): Thorkild I. A. Sørensen [sup.1] [sup.2] Author Affiliations: (1) Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Copenhagen, Denmark (2) Department of [...]
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- 2018
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5. Alcohol Intake and Cancer of the Upper Digestive Tract
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La Vecchia, Carlo, Franceschi, Silvia, Favero, Adriano, Talamini, Renato, Negri, Eva, Cheng, K. K., Cummins, C., Maric, R., Reed, Vaughan, Fitzgerald, Rebecca, Caygill, Christine, Grønbæk, Morten, and Sørensen, Thorkild I. A.
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- 1999
6. Relation between Weight and Length at Birth and Body Mass Index in Young Adulthood: Cohort Study
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Sørensen, Henrik Toft, Sabroe, Svend, Rothman, Kenneth J., Gillman, Matthew, Fischer, Peer, and Sørensen, Thorkild I. A.
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- 1997
7. Alcohol Consumption And Risk Of Coronary Heart Disease [with Reply]
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Grønbæk, Morten, Sørensen, Thorkild I. A., Rimm, Eric B., Stampfer, Meir J., Klatsky, Arthur, Grobbee, Diederick, Whitaker, Luke, Ward, Helen, Hein, H. O., Suadicani, P., and Gyntelberg, F.
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- 1996
8. Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: A pooled analysis of 1018 population-based measurement studies with 88.6 million participants
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Yiallouros, Panayiotis K., Escobedo-de la Peña, Jorge, Zhou, Bin, Bentham, James, Di Cesare, Mariachiara, Bixby, Honor, Danaei, Goodarz, Hajifathalian, Kaveh, Taddei, Cristina, Carrillo-Larco, Rodrigo M., Djalalinia, Shirin, Khatibzadeh, Shahab, Lugero, Charles, Peykari, Niloofar, Zhang, Wan Zhu, Bennett, James, Bilano, Ver, Stevens, Gretchen A., Cowan, Melanie J., Riley, Leanne M., Chen, Zhengming, Hambleton, Ian R., Jackson, Rod T., Kengne, Andre Pascal, Khang, Young-Ho, Laxmaiah, Avula, Liu, Jing, Malekzadeh, Reza, Neuhauser, Hannelore K., Sorić, Maroje, Starc, Gregor, Sundström, Johan, Woodward, Mark, Ezzati, Majid, Abarca-Gómez, Leandra, Abdeen, Ziad A., Abu-Rmeileh, Niveen M., Acosta-Cazares, Benjamin, Adams, Robert J., Aekplakorn, Wichai, Afsana, Kaosar, Aguilar-Salinas, Carlos A., Agyemang, Charles, Ahmad, Noor Ani, Ahmadvand, Alireza, Ahrens, Wolfgang, Ajlouni, Kamel, Akhtaeva, Nazgul, Al-Raddadi, Rajaa, Ali, Mohamed M., Ali, Osman, Alkerwi, Ala'a, Aly, Eman, Amarapurkar, Deepak N., Amouyel, Philippe, Amuzu, Antoinette, Andersen, Lars Bo, Anderssen, Sigmund A., Ängquist, Lars H., Anjana, Ranjit Mohan, Ansong, Daniel, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arlappa, Nimmathota, Arveiler, Dominique, Aryal, Krishna K., Aspelund, Thor, Assah, Felix K., Assunção, Maria Cecília F., Avdicová, Mária, Azevedo, Ana, Azizi, Fereidoun, Babu, Bontha V., Bahijri, Suhad, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, José R., Barbagallo, Carlo M., Barceló, Alberto, Barkat, Amina, Barros, Aluisio J. D., Barros, Mauro V., Bata, Iqbal, Batieha, Anwar M., Batyrbek, Assembekov, Baur, Louise A., Beaglehole, Robert, Romdhane, Habiba Ben, Benet, Mikhail, Benson, Lowell S., Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloisa, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K., Bi, Yufang, Bikbov, Mukharram, Bista, Bihungum, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B., Björkelund, Cecilia, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boeing, Heiner, Boggia, Jose G., Boissonnet, Carlos P., Bongard, Vanina, Borchini, Rossana, Bovet, Pascal, Braeckman, Lutgart, Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Brenner, Hermann, Brewster, Lizzy M., Bruno, Graziella, Bueno-de-Mesquita, H. 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Dimitrio, Park, Soon-Woo, Parnell, Winsome R, Parsaeian, Mahboubeh, Patel, Nikhil D, Pecin, Ivan, Pednekar, Mangesh S, Peer, Nasheeta, Peeters, Petra H, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C, Peters, Annette, Petersmann, Astrid, Petkeviciene, Janina, Pham, Son Thai, Pigeot, Iri, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pitakaka, Freda, Piwonska, Aleksandra, Plans-Rubió, Pedro, Polašek, Ozren, Porta, Miquel, Portegies, Marileen L P, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Prashant, Mathur, Price, Jacqueline F, Puder, Jardena J, Puiu, Maria, Punab, Margu, Qasrawi, Radwan F, Qorbani, Mostafa, Bao, Tran Quoc, Radic, Ivana, Radisauskas, Ricarda, Rahman, Mahfuzar, Raitakari, Olli, Raj, Manu, Ramachandra Rao, Sudha, Ramachandran, Ambady, Ramos, Elisabete, Rampal, Lekhraj, Rampal, Sanjay, Rangel Reina, Daniel A, Redon, Josep, Reganit, Paul Ferdinand M, Ribeiro, Robespierre, Riboli, Elio, Rigo, Fernando, Rinke de Wit, Tobias F, Ritti-Dias, Raphael 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Si-Ramlee, Khairil, Siantar, Rosalynn, Sibai, Abla M, Santos Silva, Diego Augusto, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöström, Michael, Skovbjerg, Sine, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, Smith, Margaret C, Snijder, Marieke B, So, Hung-Kwan, Sobngwi, Eugène, Söderberg, Stefan, Solfrizzi, Vincenzo, Sonestedt, Emily, Song, Yi, Sørensen, Thorkild I A, Soric, Maroje, Jérome, Charles Sossa, Soumare, Aicha, Staessen, Jan A, Stathopoulou, Maria G, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Stieber, Jutta, Stöckl, Dori, Stocks, Tanja, Stokwiszewski, Jakub, Stronks, Karien, Strufaldi, Maria Wany, Sun, Chien-An, Sung, Yn-Tz, Suriyawongpaisal, Paibul, Sy, Rody G, Shyong Tai, E, Tammesoo, Mari-Lii, Tamosiunas, Abdona, Tan, Eng Joo, Tang, Xun, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarqui-Mamani, Carolina B, Tautu, Oana-Florentina, Taylor, Anne, Theobald, Holger, Theodoridis, Xenophon, Thijs, Lutgarde, Thuesen, Betina H, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Topbas, Murat, Topór-Madry, Roman, Tormo, María José, Torrent, Matie, Traissac, Pierre, Trichopoulos, Dimitrio, Trichopoulou, Antonia, Trinh, Oanh T H, Trivedi, Atul, Tshepo, Lechaba, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L, Tynelius, Per, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice E, Ulmer, Hanno, Uusitalo, Hannu M T, Valdivia, Gonzalo, Valvi, Damaskini, van der Schouw, Yvonne T, Van Herck, Koen, Van Minh, Hoang, van Rossem, Lenie, Van Schoor, Natasja M, van Valkengoed, Irene G M, Vanderschueren, Dirk, Vanuzzo, Diego, Vatten, Lar, Vega, Toma, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Monique Verschuren, W M, Verstraeten, Roosmarijn, Victora, Cesar G, Viet, Lucie, Viikari-Juntura, Eira, Vineis, Paolo, Vioque, Jesu, Virtanen, Jyrki K, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vlasoff, Tiina, Vollenweider, Peter, Voutilainen, Sari, Wade, Alisha N, Wagner, Aline, Walton, Janette, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley, Rildo S, Wang, Ming-Dong, Wang, Qian, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nichola, Wedderkopp, Niel, Weerasekera, Deepa, Whincup, Peter H, Widhalm, Kurt, Widyahening, Indah S, Wiecek, Andrzej, Wijga, Alet H, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Emmanuel A, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Justin Y Y, Wong, Tien Yin, Woo, Jean, Giwercman Wu, Aleksander, Wu, Frederick C, Wu, Shouling, Xu, Haiquan, Yan, Weili, Yang, Xiaoguang, Ye, Xingwang, Yiallouros, Panayiotis K, Yoshihara, Akihiro, Younger-Coleman, Novie O, Yusoff, Ahmad Faudzi, Zainuddin, Ahmad Ali, Zambon, Sabina, Zampelas, Antoni, Zdrojewski, Tomasz, Zeng, Yi, Zhao, Dong, Zhao, Wenhua, Zheng, Wei, Zheng, Yingfeng, Zhu, Dan, Zhussupov, Baurzhan, Zimmermann, Esther, Cisneros, Julio Zuñiga, The State Key Laboratory of Cell Biology [Shanghai, China] (CAS Center for Excellence in Molecular Cell Science), Shanghai Institute of Biochemistry and Cell Biology [Shanghai, China]-University of Chinese Academy of Sciences [Shanghai, China], Imperial College London, University of Kentucky, Middlesex University, Cleveland Clinic, Universidad Peruana Cayetano Heredia (UPCH), Brandeis University, Mulago Hospital [Kampala, Ouganda], Department of Epidemiology and Public Health, Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), World Health Organisation (WHO), Al-Quds University, Discipline of Medicine, University of South Australia [Adelaide], Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán - National Institute of Medical Science and Nutrition Salvador Zubiran [Mexico], Leibniz Institute for Prevention Research and Epidemiology - BIPS, Leibniz Association, Centre for Industrial Management, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Epidémiologie des maladies chroniques : impact des interactions gène environnement sur la santé des populations, Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, Institute of Preventive Medicine, Copenhagen University Hospitals, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Dept. Atherosclerose, University of Iceland [Reykjavik], Institute for Biotechnology and Bioengineering (IBB), Technical University of Lisbon, Medical University of Łódź (MUL), Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid (UAM), Faculté de Médecine de Tunis, Université de Tunis El Manar (UTM), Sunder Lal Jain Hospital, Ufa Eye Research Institute [Bashkortostan], National Institute of Public Health, Department of Epidemiology, Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DifE), Leibniz Association-Leibniz Association, CHU Toulouse [Toulouse], Institute of Social and Preventive Medicine, Lausanne university hospital, Division of Clinical Epidemiology and Aging Research, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department of Medical Sciences [Turin, Italy] (DMS), Università degli studi di Torino = University of Turin (UNITO), ASU - School for Engineering of Matter, Transport and Energy, Arizona State University [Tempe] (ASU), Universidade do Porto = University of Porto, University of Oxford [Oxford], Cancer & Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center, Consorcio de Investigación Biomédica en Red especializado en Epidemiología y Salud Pública (CIBERESP), Los Centros de Investigación Biomédica en Red (CIBER), 2nd Department of Internal Medicine, Molecular Medicine, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven)-IRC KULAK, Department of Public Health, State University of Ghent, MRC Lifecourse Epidemiology Unit [Southampton, UK], University of Southampton, Réseau International des Instituts Pasteur (RIIP), Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Sahlgrenska University Hospital [Gothenburg], Institute of Metabolic Science, MRC, Institut National de Nutrition et de Technologie Alimentaire (INNTA), University of Huddersfield, IMIM-Hospital del Mar, Generalitat de Catalunya, Medstar Research Institute, Queen's University [Belfast] (QUB), Medical Research Council, Applied Sciences, National Research Institute on Food and Nutrition, Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Infectious diseases division, Department of internal medicine, Washington University in Saint Louis (WUSTL), Innsbruck Medical University [Austria] (IMU), Department of Epidemiology [Rotterdam], Erasmus University Medical Center [Rotterdam] (Erasmus MC), Laboratoire d'Etude des Mammifères Marins (LEMM), Océanopolis [Brest], Faculté de Médecine Henri Warembourg - Université de Lille, Institute of Sport Science and Clinical Biomechanics, University of Southern Denmark (SDU), Icelandic Heart Association, Heart Preventive Clinic and Research Institute, Centro Investig Quim Aplicada, Coahuila, Mexico, Centro Investigacion en Quimica Aplicada, Coahuila, Mexico, University of Geneva [Switzerland], Department of Civil Engineering [Hamirpur], National Institute of Technology [Hamirpur], Health Services Research Unit, Danish Cancer Society, Institute of Cancer Epidemiology, London School of Hygiene and Tropical Medicine (LSHTM), University College of London [London] (UCL), The Georges Institute for International Health, The University of Sydney, School of Information Technology, Deakin University Waurn Ponds, Faculté de Médecine, Université Djilali Liabès [Sidi-Bel-Abbès], Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), CIBER de Epidemiología y Salud Pública (CIBERESP), VU University Medical Center [Amsterdam], Universiteit Gent = Ghent University [Belgium] (UGENT), Faculty of Agricultural and Food Science, American University of Beirut [Beyrouth] (AUB), Åbo Akademi University [Turku], Department of Public Health Sciences, Karolinska Institutet [Stockholm], Great Lakes Institute for Environmental Research, University of Windsor [Ca], Universität Heidelberg [Heidelberg], Research Center for Prevention and Health, University of Ljubljana, Division of Cancer Epidemiology, University of Crete School of medicine, School of Public Health and Clinical Nutrition, University of Eastern Finland, Institute of Epidemiology and Social Medicine, Westfälische Wilhelms-Universität Münster = University of Münster (WWU), Research Institute of Child Nutrition Dortmund, Rheinische Friedrich-Wilhelms-Universität Bonn, Cancer Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge [UK] (CAM), Department of Oncology, University of Tampere Medical School, University of Tampere, Wageningen University and Research [Wageningen] (WUR), Centre for Environmental Health, National Institue of Public Health, School of Public Health, The University of Hong Kong (HKU), Tehran University of Medical Sciences, Istituto Nazionale di Ricerca per gli Alimenti e la Nutrizione (INRAN), INRAN, National University of Singapore (NUS), Faculty of Medicine and Life Sciences [Tampere], University of Tampere [Finland], Centre Européen de Réalité Virtuelle (CERV), École Nationale d'Ingénieurs de Brest (ENIB), Uppsala Universitet [Uppsala], Department of Public Health and Community Medicine, University of Gothenburg (GU), Institute of Earthquake Science, CEA, Beijing, CEA, Beijing, University of Porto Medical School, Laboratoire de Chimie Physique D'Orsay (LCPO), Université Paris-Sud - Paris 11 (UP11)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Aging Program, National research council, Padua, Italy, Baker IDI Heart and Diabetes Institute, Institute of Internal Medicine, Russian Academy of Medical Sciences, Department of Nutrition and Dietetics, Harokopio University, Emory University [Atlanta, GA], Départment of Biotechnology, Faculty of Science, University of Oran Es-Senia [Oran] | Université d'Oran Es-Senia [Oran], Institut National de la Santé et de la Recherche Médicale (INSERM), University of Tartu, Department of Community, Université Ain Shams-Faculty of Medicine-Environmental and Occupational Medicine, Pécsi Tudemányegyetem, Department of Community, Environmental and Occupational Medicine, Université Ain Shams, Research Centre in Physical Activity, Health and Leisure, Nutrition and Metabolism Section, International Agency for Research on Cancer, Bushehr University of Medical Sciences, Institute of Epidemiology and Medical Biometry [Ulm, Allemagne], Universität Ulm - Ulm University [Ulm, Allemagne], Università degli studi di Palermo - University of Palermo, MRc Environmental Epidemiology Unit, Department of Cardiology and Department of Clinical Epidemiology, Aarhus University Hospital, Kumasi Centre for Collaborative Research in Tropical Medicine (KCCR), Department of Epidemiology and Population Studies, Jagiellonian University, Uniwersytet Jagielloński w Krakowie = Jagiellonian University (UJ), Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute – ISPO, Social Robotics Laboratory, University of Freiburg, Freiburg im Breisgau, Department of Ophthalmology, Universitätsklinikum Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, University of Bari Aldo Moro (UNIBA), Department of Cardiology, Eastbourne General Hospital, Julius Center for Health Sciences and Primary Care, University Medical Center [Utrecht], Laboratoire d'Innovation pour les Technologies des Energies Nouvelles et les nanomatériaux (LITEN), Institut National de L'Energie Solaire (INES), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), King‘s College London, Public Health Sciences, University of Edinburgh, Movement Disorders and Tourette Centre, Genetica medicala, Victor Babeş University of Medicine and Pharmacy (UMFT), Andrology Unit, United Laboratories of Tartu University Clinics, Tampere University Hospital, Department of Hygiene and Epidemiology, Dept of Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Imperial College London-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU), Department of Emergency and Cardiovascular Medicine, Sahlgrenska Academy, Institut de Veille Sanitaire (INVS), Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain, parent, Department of Chronic Disease Prevention, National Institute for Health and Welfare [Helsinki], University of São Paulo (USP), Institut de Recherche pour le Développement (IRD [France-Sud]), Institute for plasma research, Institute for Plasma Research, Department of Biosciences and Nutrition, Department of Reproductive Endocrinology, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC - Academic medical center, Central Hospital and Faculty of medicine and biomedical sciences university, University of Yaoundé [Cameroun], Department of Clinical Sciences, Lund University [Lund]-Lund University Diabetes Centre, School of Computing [Leeds], University of Leeds, Copenhagen University Hospital, Neuroépidémiologie, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Maastricht University [Maastricht], Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Applied Food Science, Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, University of Amsterdam, Dept. of Social Medecine, Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University Hospital, Africa Centre for Health and Population Studies, University of KwaZulu-Natal [Durban, Afrique du Sud] (UKZN)-Medical Research Council of South Africa, Center for Family and Community Medicine, Department of Neurobiology, Care Sciences and Society, Department of Cardiovascular Sciences [Leuven], Cancer Epidemiology Institute, Department of Epidemiology and Health Promotion (MONICA Data Centre), National Public Health Institute, Nutrition et Alimentation des Populations aux Suds (NutriPass), Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Havard School of Public Health, Dept of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School [Athens], University of Kuopio, Tampere University, University Medical Centre Utrecht, Department of Social Medicine, Amsterdam, Center for Metabolic Bone Diseases, Catholic University of Leuven, Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU), Universidad Miguel Hernández [Elche] (UMH), Institute of Public Health and Clinical Nutrition [Kuopio, Finland], Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg (UNISTRA), Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Division of Community Health Sciences, St George's University of London, Medizinische Universität Wien = Medical University of Vienna, Medical University of Silesia (SUM), National Institute for Public Health and the Environment [Bilthoven] (RIVM), University of Innsbruck, National Institute of Hygiene Warsaw, Johns Hopkins University School of Medicine [Baltimore], Food Science and Technology, Beijing Forestry University, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics (CAE-NUAA), NUAA, Chinese Center for Disease Control and Prevention, Department of Applied Mathematics, School of Science, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, Siemens Corporate Research, Siemens AG [Munich], Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), This work was supported by the Wellcome Trust [101506/Z/13/Z]., NCD Risk Factor Collaboration (NCD-RisC). We thank WHO country and regional offices and the World Heart Federation for support in data identification and access., Universidad Autonoma de Madrid (UAM), University of Turin, Universidade do Porto, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Université Lille 2 - Faculté de Médecine, Westfälische Wilhelms-Universität Münster (WWU), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), University of KwaZulu-Natal (UKZN)-Medical Research Council of South Africa, Institut de Recherche pour le Développement (IRD)-Université Montpellier 1 (UM1)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), Lund University Diabetes Centre-Lund University [Lund], Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Medical University of Silesia, Katowice, Apollo - University of Cambridge Repository, University of Kentucky (UK), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Lausanne University Hospital, University of Oxford, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Innsbruck Medical University = Medizinische Universität Innsbruck (IMU), Université de Genève = University of Geneva (UNIGE), Deakin University [Waurn Ponds], Universiteit Gent = Ghent University (UGENT), Universität Heidelberg [Heidelberg] = Heidelberg University, Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Universidade de São Paulo = University of São Paulo (USP), Lund University [Lund], Laboratoire Chrono-environnement (UMR 6249) (LCE), Leopold Franzens Universität Innsbruck - University of Innsbruck, National Institute of Public Health - National Institute of Hygiene [Poland], Yiallouros, Panayiotis K. [0000-0002-8339-9285], Giampaoli, Simona [0000-0002-6679-1488], Moschonis, George [0000-0003-3009-6675], Papandreou, Dimitrios [0000-0002-4923-484X], Stathopoulou, Maria G. [0000-0003-4376-2083], Stergiou, George S. [0000-0002-6132-0038], Trichopoulou, Antonia [0000-0002-7204-6396], Valvi, Damaskini [0000-0003-4633-229X], Chen, Z, Woodward, M, Key, T, and Smith, M
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systolic blood pressure ,Settore MED/09 - Medicina Interna ,blood pressure measurement ,HEALTH EXAMINATION SURVEYS ,Blood Pressure ,Hypertension ,Population Health ,Global Health ,Non-communicable Disease ,Epidemiology ,[SDV]Life Sciences [q-bio] ,global health ,South Asia ,purl.org/pe-repo/ocde/ford#3.03.09 [https] ,kohonnut verenpaine ,Medicine and Health Sciences ,middle income country ,measurement method ,skin and connective tissue diseases ,VDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Kardiologi: 771 ,Public, Environmental & Occupational Health ,adult ,Population health ,public health ,blood pressure regulation ,Public Health, Global Health, Social Medicine and Epidemiology ,Non-communicable disease ,kansainvälinen vertailu ,health survey ,aged ,female ,priority journal ,Blood pressure ,mean arterial pressure ,GLOBAL TRENDS ,SODIUM-INTAKE ,Life Sciences & Biomedicine ,survey design ,hypertension ,prevalence ,Global health ,UNITED-STATES ,URBAN COMMUNITIES ,Article ,SECULAR TRENDS ,Middle East ,Central Asia ,male ,disease prevalence ,[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system ,kansanterveys ,blood ,SYSTEMATIC ANALYSIS ,human ,verenpainetauti ,non-communicable disease ,Science & Technology ,Pacific Ocean ,high income country ,diastolic blood pressure ,Pacific Rim ,Blood Pressure - Epidemiology - Population ,North Africa ,major clinical study ,HYPERTENSION PREVALENCE ,verenpaine ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,ARTERIAL-HYPERTENSION ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,POTASSIUM INTAKE ,sense organs ,trend analysis ,trend study ,population research ,population health ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology ,low income country - Abstract
Background: Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. Methods: We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probit-transformed) prevalence of raised blood pressure and age-group-and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure. Results: In 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the high-income Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association. Conclusions: Change in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups., This work was supported by the Wellcome Trust [101506/Z/13/Z].
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- 2018
9. The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia : design, results and future prospects
- Author
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Middeldorp, Christel M., Mahajan, Anubha, Horikoshi, Momoko, Robertson, Neil R., Beaumont, Robin N., Bradfield, Jonathan P., Bustamante, Mariona, Cousminer, Diana L., Day, Felix R., De Silva, N. Maneka, Guxens, Monica, Mook-Kanamori, Dennis O., St Pourcain, Beate, Warrington, Nicole M., Adair, Linda S., Ahlqvist, Emma, Ahluwalia, Tarunveer S., Almgren, Peter, Ang, Wei, Atalay, Mustafa, Auvinen, Juha, Bartels, Meike, Beckmann, Jacques S., Bilbao, Jose Ramon, Bond, Tom, Borja, Judith B., Cavadino, Alana, Charoen, Pimphen, Chen, Zhanghua, Coin, Lachlan, Cooper, Cyrus, Curtin, John A., Custovic, Adnan, Das, Shikta, Davies, Gareth E., Dedoussis, George V., Duijts, Liesbeth, Eastwood, Peter R., Eliasen, Anders U., Elliott, Paul, Eriksson, Johan G., Estivill, Xavier, Fadista, Joao, Fedko, Iryna O., Frayling, Timothy M., Gaillard, Romy, Gauderman, W. James, Geller, Frank, Gilliland, Frank, Gilsanz, Vincente, Granell, Raquel, Grarup, Niels, Groop, Leif, Hadley, Dexter, Hakonarson, Hakon, Hansen, Torben, Hartman, Catharina A., Hattersley, Andrew T., Hayes, M. Geoffrey, Hebebrand, Johannes, Heinrich, Joachim, Helgeland, Oyvind, Henders, Anjali K., Henderson, John, Henriksen, Tine B., Hirschhorn, Joel N., Hivert, Marie-France, Hocher, Berthold, Holloway, John W., Holt, Patrick, Hottenga, Jouke-Jan, Hypponen, Elina, Iniguez, Carmen, Johansson, Stefan, Jugessur, Astanand, Kahonen, Mika, Kalkwarf, Heidi J., Kaprio, Jaakko, Karhunen, Ville, Kemp, John P., Kerkhof, Marjan, Koppelman, Gerard H., Korner, Antje, Kotecha, Sailesh, Kreiner-Moller, Eskil, Kulohoma, Benard, Kumar, Ashish, Kutalik, Zoltan, Lahti, Jari, Lappe, Joan M., Larsson, Henrik, Lehtimaki, Terho, Lewin, Alexandra M., Li, Jin, Lichtenstein, Paul, Lindgren, Cecilia M., Lindi, Virpi, Linneberg, Allan, Liu, Xueping, Liu, Jun, Lowe, William L., Jr., Lundstrom, Sebastian, Lyytikainen, Leo-Pekka, Ma, Ronald C. W., Mace, Aurelien, Magi, Reedik, Magnus, Per, Mamun, Abdullah A., Mannikko, Minna, Martin, Nicholas G., Mbarek, Hamdi, McCarthy, Nina S., Medland, Sarah E., Melbye, Mads, Melen, Erik, Mohlke, Karen L., Monnereau, Claire, Morgen, Camilla S., Morris, Andrew P., Murray, Jeffrey C., Myhre, Ronny, Najman, Jackob M., Nivard, Michel G., Nohr, Ellen A., Nolte, Ilja M., Ntalla, Ioanna, O'Reilly, Paul, Oberfield, Sharon E., Oken, Emily, Oldehinkel, Albertine J., Pahkala, Katja, Palviainen, Teemu, Panoutsopoulou, Kalliope, Pedersen, Oluf, Pennell, Craig E., Pershagen, Goran, Pitkanen, Niina, Plomin, Robert, Power, Christine, Prasad, Rashmi B., Prokopenko, Inga, Pulkkinen, Lea, Raikkonen, Katri, Raitakari, Olli T., Reynolds, Rebecca M., Richmond, Rebecca C., Rivadeneira, Fernando, Rodriguez, Alina, Rose, Richard J., Salem, Rany, Santa-Marina, Loreto, Saw, Seang-Mei, Schnurr, Theresia M., Scott, James G., Selzam, Saskia, Shepherd, John A., Simpson, Angela, Skotte, Line, Sleiman, Patrick M. A., Snieder, Harold, Sørensen, Thorkild I. A., Standl, Marie, Steegers, Eric A. P., Strachan, David P., Straker, Leon, Strandberg, Timo, Taylor, Michelle, Teo, Yik-Ying, Thiering, Elisabeth, Torrent, Maties, Tyrrell, Jessica, Uitterlinden, Andre G., van Beijsterveldt, Toos, van der Most, Peter J., van Duijn, Cornelia M., Viikari, Jorma, Vilor-Tejedor, Natalia, Vogelezang, Suzanne, Vonk, Judith M., Vrijkotte, Tanja G. M., Vuoksimaa, Eero, Wang, Carol A., Watkins, William J., Wichmann, H-Erich, Willemsen, Gonneke, Williams, Gail M., Wilson, James F., Wray, Naomi R., Xu, Shujing, Xu, Cheng-Jian, Yaghootkar, Hanieh, Yi, Lu, Zafarmand, Mohammad Hadi, Zeggini, Eleftheria, Zemel, Babette S., Hinney, Anke, Lakka, Timo A., Whitehouse, Andrew J. O., Sunyer, Jordi, Widen, Elisabeth E., Feenstra, Bjarke, Sebert, Sylvain, Jacobsson, Bo, Njolstad, Pal R., Stoltenberg, Camilla, Smith, George Davey, Lawlor, Debbie A., Paternoster, Lavinia, Timpson, Nicholas J., Ong, Ken K., Bisgaard, Hans, Bonnelykke, Klaus, Jaddoe, Vincent W. V., Tiemeier, Henning, Jarvelin, Marjo-Riitta, Evans, David M., Perry, John R. B., Grant, Struan F. A., Boomsma, Dorret I., Freathy, Rachel M., McCarthy, Mark I., Felix, Janine F., Sorensen, Thorkild I. A., Tiemeier, Hen-Ning, Biological Psychology, APH - Mental Health, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Methodology, APH - Health Behaviors & Chronic Diseases, Pediatrics, Epidemiology, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Groningen Research Institute for Asthma and COPD (GRIAC), Life Course Epidemiology (LCE), Public and occupational health, APH - Aging & Later Life, ARD - Amsterdam Reproduction and Development, ACS - Atherosclerosis & ischemic syndromes, APH - Global Health, Epidemiology and Data Science, Medical Research Council (MRC), Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Centre of Excellence in Complex Disease Genetics, Institute for Molecular Medicine Finland, University of Helsinki, Department of Public Health, Clinicum, Doctoral Programme in Cognition, Learning, Instruction and Communication, Department of Psychology and Logopedics, Helsinki Collegium for Advanced Studies, Faculty of Medicine, Timo Strandberg / Principal Investigator, Department of Medicine, Elisabeth Ingrid Maria Widen / Principal Investigator, HUS Internal Medicine and Rehabilitation, HUS Abdominal Center, Developmental Psychology Research Group, Genetic Epidemiology, Genomic Discoveries and Clinical Translation, Cognitive and Brain Aging, Middeldorp, Christel M [0000-0002-6218-0428], and Apollo - University of Cambridge Repository
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Male ,Netherlands Twin Register (NTR) ,embarazo ,Epidemiology ,C840 Clinical Psychology ,LD SCORE REGRESSION ,humanos ,LOCI ,Medizin ,adolescente ,Genome-wide association study ,BLOOD-PRESSURE ,Disease ,030204 cardiovascular system & hematology ,Cohort Studies ,0302 clinical medicine ,Pregnancy ,Medicine ,030212 general & internal medicine ,Early childhood ,C820 Developmental Psychology ,estudios de cohortes ,Child ,C440 Molecular Genetics ,Public, Environmental & Occupational Health ,Genetics ,education.field_of_study ,United Kingdom/epidemiology ,COMMON VARIANTS ,Hälsovetenskaper ,adulto ,A900 Others in Medicine and Dentistry ,3142 Public health care science, environmental and occupational health ,3. Good health ,predicción ,ddc ,Childhood traits and disorders ,Phenotype ,Disease/genetics ,Research Design ,Child, Preschool ,fenotipo ,Female ,ICEP ,medicine.symptom ,CHILDHOOD OBESITY ,Life Sciences & Biomedicine ,EArly Genetics Lifecourse Epidemiology (EAGLE) consortium ,Adult ,medicine.medical_specialty ,Adolescent ,Birth weight ,Population ,Consortium ,Childhood Traits And Disorders ,Longitudinal ,enfermedad ,Childhood obesity ,1117 Public Health and Health Services ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Health Sciences ,Humans ,Genetic Predisposition to Disease ,GENOME-WIDE ASSOCIATION ,education ,LONGITUDINAL TWIN ,METAANALYSIS ,lactante ,Science & Technology ,Early Growth Genetics (EGG) consortium ,business.industry ,Infant, Newborn ,Infant ,predisposición genética a la enfermedad ,medicine.disease ,BODY-MASS ,C800 Psychology ,BIRTH-WEIGHT ,C420 Human Genetics ,United Kingdom ,Low birth weight ,business ,diseño de la investigación ,Forecasting - Abstract
The impact of many unfavorable childhood traits or diseases, such as low birth weight and mental disorders, is not limited to childhood and adolescence, as they are also associated with poor outcomes in adulthood, such as cardiovascular disease. Insight into the genetic etiology of childhood and adolescent traits and disorders may therefore provide new perspectives, not only on how to improve wellbeing during childhood, but also how to prevent later adverse outcomes. To achieve the sample sizes required for genetic research, the Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia were established. The majority of the participating cohorts are longitudinal population-based samples, but other cohorts with data on early childhood phenotypes are also involved. Cohorts often have a broad focus and collect(ed) data on various somatic and psychiatric traits as well as environmental factors. Genetic variants have been successfully identified for multiple traits, for example, birth weight, atopic dermatitis, childhood BMI, allergic sensitization, and pubertal growth. Furthermore, the results have shown that genetic factors also partly underlie the association with adult traits. As sample sizes are still increasing, it is expected that future analyses will identify additional variants. This, in combination with the development of innovative statistical methods, will provide detailed insight on the mechanisms underlying the transition from childhood to adult disorders. Both consortia welcome new collaborations. Policies and contact details are available from the corresponding authors of this manuscript and/or the consortium websites., We are grateful to all families and participants who took part in these studies. We also acknowledge and appreciate the unique efforts of the research teams and practitioners contributing to the collection of this wealth of data. C. M. M. is supported by funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 721567. J. F. F. has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 633595 (DynaHEALTH) and 733206 (LifeCycle). R. M. F. and R. N. B. are supported by Sir Henry Dale Fellowship (Wellcome Trust and Royal Society grant: WT104150). D. L. C. is funded by the American Diabetes Association Grant 1-17-PDF-077. D. O. M-K. was supported by Dutch Science Organization (ZonMW-VENI Grant 916.14.023). N. M. W. is supported by an Australian National Health and Medical Research Council Early Career Fellowship (APP1104818). T. S. A. was partially funded by the Gene-Diet Interactions in Obesity (GENDINOB) project on behalf of GOYA male cohort data management and analyses and acknowledges the same. S. D. was supported by National Institute of Health Research. T. M. F. is supported by the European Research Council grant: 323195 SZ-245 50371-GLUCOSEGENES-FP7-IDEAS-ERC. The Novo Nordisk Foundation Center for Basic Metabolic Research is an independent Research Center at the University of Copenhagen partially funded by an unrestricted donation from the Novo Nordisk Foundation (www.metabol.ku.dk).H.H.is funded by The Children's Hospital of Philadelphia Endowed Chair in Genomic Research. A. T. H. is supported by the Wellcome Trust Senior Investigator Awards (WT098395), National Institute for Health Research (NIHR) Senior Investigator Award (NF-SI-0611-10219). J. Hebebrand received grants from German Research Society, German Ministry of Education and Research. M-F. H. is currently supported by an American Diabetes Association (ADA) Pathway Program Accelerator Early Investigator Award (1-15-ACE-26). S. J. is supported by Helse Vest no. 23929, Bergen Forskningsstiftelse and KG Jebsen Foundation and University of Bergen. J. K. has been supported by the Academy of Finland Research Professor program (grants 265240 & 263278). J. P. K. is funded by a University of Queensland Development Fellowship (UQFEL1718945). H. L. has served as a speaker for Eli-Lilly and Shire and has received research grants from Shire; all outside the submitted work. C. M. L is supported by the Li Ka Shing Foundation, WT-SSI/John Fell funds and by the NIHR Biomedical Research Centre, Oxford, by Widenlife and NIH (5P50HD028138-27). S. E. M. was funded by an NHMRC Senior Reseach Fellowship (APP1103623). K. Panoutsopoulou is funded by a career development fellowship (grant 20308) and by the Wellcome Trust (WT098051). C. P. at UCL Institute of Child Health, with support from the National Institute for Health Research Biomedical Research Centre at Great Ormond Street Hospital for Children NHS Foundation Trust and University College London. I. P. was funded in part by the Wellcome Trust (WT205915), and the European Union's Horizon 2020 research, the European Union FP7-IDEAS-ERC Advanced Grant (GEPIDIAB, ERC-AG -ERC-294785), and innovation programme (DYNAhealth, H2020-PHC-2014-633595). R. C. R. is supported by CRUK (grant number C18281/A19169). J. G. S. is supported by an NHMRC Practitioner Fellowship Grant (APP1105807). J. T.; r is funded by the European Regional Development Fund (ERDF), the European Social Fund (ESF), Convergence Programme for Cornwall and the Isles of Scilly and the Diabetes Research and Wellness Foundation Non-Clinical Fellowship. N. V-T. is funded by a pre-doctoral grant from the Agencia de Gestio d'Ajuts Universitaris i de Recerca (AGAUR) (2015 FI_B 00636), Generalitat de Catalunya. T. G. M. V was supported by ZonMW (TOP 40-00812-98-11010. J. F. W. is supported by the MRC Human Genetics Unit quinquennial programme QTL in Health and Disease. H. Y. is funded by Diabetes UK RD Lawrence fellowship (grant: 17/0005594). M. H. Z was supported by BBMRI-NL (CP2013-50). E. Z. is supported by the Wellcome Trust (098051). B. F. is supported by Novo Nordisk Foundation (12955) and an Oak Foundation Fellowship. S. S. and M-R. J. have received funding from the European Union's Horizon 2020 research and innovation programme [under grant agreement No 633595] for the DynaHEALTH action. P. R. N. was supported by the European Research Council (ERC), University of Bergen, KG Jebsen and Helse Vest. G. D. S. works within the MRC Integrative Epidemiology Unit at the University of Bristol (MC_UU_12013/1). D. A. L was supported by the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement (Grant number 669545; DevelopObese), US National Institute of Health (grant: R01 DK10324), the UK Medical Research Council (grant: MC_UU_00011/6), Wellcome Trust GWAS grant (WT088806), an NIHR Senior Investigator Award (NF-SI-0611-10196) and the NIHR Biomedical Research Centre at University Hospitals Bristol NHS Foundation Trust and the University of Bristol. L. Paternoster was supported by the UK Medical Research Council Unit grants MC_UU_12013_5. N. J. T. is a Wellcome Trust Investigator (202802/Z/16/Z), is the PI of the Avon Longitudinal Study of Parents and Children (MRC & WT 102215/2/13/2), is supported by the University of Bristol NIHR Biomedical Research Centre (BRC) and works within the CRUK Integrative Cancer Epidemiology Programme (C18281/A19169). V.W.V.J. received an additional grant from the Netherlands Organization for Health Research and Development (NWO, ZonMw-VIDI 016.136.361), a European Research Council Consolidator Grant (ERC-2014-CoG-648916) and funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 633595 (DynaHEALTH) and 733206 (LifeCycle). D. M. E. is funded by the UK Medical Research Council Unit grant MC_UU_12013_4, Australian Research Council Future Fellowship (FT130101709) and a NHMRC Senior Research Fellowship (GNT1137714). S. F. A. G. is funded by the Daniel B. Burke Endowed Chair for Diabetes Research and R01 HD056465. D. I. B. is supported by Spinozapremie (NWO-56-464-14192) and the Royal Netherlands Academy of Science Professor Award (PAH/6635) to DIB. M. I. M. is a Wellcome Senior Investgator and NIHR Senior Investigator supported by the Wellcome (090532, 098381, 203141), NIHR (NF-SI-0617-10090) and the US National Institute of Health (grant: R01 DK10324), the UK Medical Research Council (grant: MCiabetes UK RD Lawrence fellowship (grant: 17/0005594). M. H. Z was supported by BBMRI-NLNIHR Biomedical Research Centre, Oxford. The views expressed in this article are those of the author(s) and not necessarily those of the NHS, the NIHR, or the Department of Health.
- Published
- 2019
10. Exposure to traffic noise and gestational weight gain and postpartum weight retention: a cohort study.
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Sørensen, Mette, Sørensen, Thorkild I. A., Ketzel, Matthias, and Raaschou-Nielsen, Ole
- Abstract
Objectives: Transportation noise has been associated with markers of obesity. We aimed to investigate whether road traffic and railway noise were associated with weight gain during and after pregnancy.Methods: Among the women participating in the Danish National Birth Cohort, 74 065 reported on weight before and during the pregnancy (gestational week 30) and 52 661 reported on weight before and 18 months after pregnancy. Residential address history from conception to 18 months after pregnancy was obtained in national registers, and road traffic and railway noise were modelled for all addresses. Associations between noise and gestational weight gain (GWG) and postpartum weight retention (PPWR) were analysed using the linear and log-binomial regression.Results: A 10 dB(A) higher road traffic noise was associated with an increase in GWG of 3.8 g/week (95% CI 2.3 to 5.3) and PPWR of 0.09 kg (95% CI 0.02 to 0.16). For PPWR, this association seemed confined to women who were overweight (0.17 kg, 95% CI 0.02 to 0.32) or obese (0.49 kg, 95% CI 0.26 to 0.73) before pregnancy. Further adjustment by nitrogen dioxide reduced GWG risk estimates and slightly increased PPWR risk estimates. Railway noise ≥65 dB(A) was associated with an increase in GWG of 4.5 g/week (95% CI -2.7 to 11.6) and PPWR of 0.26 kg (95% CI -0.09 to 0.60) compared with levels <55 dB(A).Conclusions: Our findings suggest that road traffic noise is associated with weight gain during and after the pregnancy, which adds to the literature linking transportation noise to adiposity. [ABSTRACT FROM AUTHOR]- Published
- 2020
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11. Increase In Incidence Of Disease Due To Diagnostic Drift: Primary Liver Cancer In Denmark, 1943-85
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Andersen, Inger Bak, Sørensen, Thorkild I. A., and Prener, Anne
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- 1991
12. Breastfeeding duration in infancy and adult risks of type 2 diabetes in a high‐income country.
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Bjerregaard, Lise G., Pedersen, Dorthe C., Mortensen, Erik L., Sørensen, Thorkild I. A., and Baker, Jennifer L.
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TYPE 2 diabetes risk factors ,BIRTH weight ,BREASTFEEDING ,CHI-squared test ,CONFIDENCE intervals ,GESTATIONAL diabetes ,LONGITUDINAL method ,WEIGHT gain in pregnancy ,RESEARCH funding ,SMOKING ,T-test (Statistics) ,TIME ,DEVELOPED countries ,SOCIOECONOMIC factors ,EDUCATIONAL attainment ,BODY mass index ,PARITY (Obstetrics) ,DESCRIPTIVE statistics ,CONFOUNDING variables ,ADULTS ,CHILDREN ,PREGNANCY - Abstract
Observed associations between breastfeeding and reduced risk of type 2 diabetes in adulthood may be confounded. We examined if the duration of breastfeeding in infancy was associated with the risk of type 2 diabetes in adulthood after adjustment for a range of prenatal and postnatal risk factors. We prospectively followed 6,044 individuals from the Copenhagen Perinatal Cohort born 1959–1961. Duration of any breastfeeding (≤0.5, >0.5–1, >1–2, >2–4, >4 months) was assessed at the infant's 1‐year health examination. We estimated hazard ratios (HRs) with 95% confidence intervals (CIs) for type 2 diabetes (at age ≥30 years, 237 persons) by breastfeeding duration without and with adjustment for parental social status and education, maternal pre‐pregnancy body mass index (BMI), maternal diabetes and smoking during pregnancy, gestational weight gain, parity, preterm birth, birth weight, sex, and BMI at ages 7 and 41–43 years. In the unadjusted analysis, compared with infants breastfed for ≤0.5 month, those breastfed for >4 months had a 51% reduced risk of type 2 diabetes (HR = 0.49; 95% CI [0.32, 0.75]). After the stepwise adjustment for putative early life confounders, this was attenuated to a nonsignificant 31% reduced risk (HR = 0.69; 95% CI [0.44, 1.07]). Adjustment for childhood and adulthood BMI minimally changed the results. We found that the inverse association between the duration of breastfeeding and risk of type 2 diabetes in adulthood is considerably weakened and no longer significant after adjustment for prenatal and postnatal factors in the infant and mother. [ABSTRACT FROM AUTHOR]
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- 2019
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13. Sex-specific associations between birth weight and adult primary liver cancer in a large cohort of Danish children.
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Zimmermann, Esther, Berentzen, Tina L., Gamborg, Michael, Sørensen, Thorkild I. A., and Baker, Jennifer L.
- Abstract
Whether the prenatal period is critical for the development of adult primary liver cancer (PLC) is sparsely investigated. Recently, attention has been drawn to potential sex-differences in the early origins of adult disease. The association between birth weight and adult PLC, separately in men and women was investigated, using a large cohort of 217,227 children (51% boys), born from 1936 to 1980, from the Copenhagen School Health Records Register, and followed them until 2010 in national registers. Hazard ratios (95% confidence intervals) of PLC (30 years or older) were estimated by Cox regression models stratified by birth cohort. During 5.1 million person-years of follow-up, 185 men and 65 women developed PLC. Sex modified the association between birth weight and adult PLC ( p values for interaction = 0.0005). Compared with a sex-specific reference group of birth weights between 3.25 and 3.75 kg, men with birth weights between 2.00 and 3.25 kg and 3.75-5.50 kg, had HRs of 1.48 (1.06-2.05) and 0.85 (0.56-1.28), respectively. Among women the corresponding HRs were 1.71 (0.90-3.29) and 3.43 (1.73-6.82). Associations were similar for hepatocellular carcinoma only, across year of birth, and after accounting for diagnoses of alcohol-related disorders, viral hepatitis and biliary cirrhosis. Prenatal exposures influenced the risk of adult PLC, and the effects at the high birth weight levels appeared to be sex-specific. These findings underscore the importance of considering sex-specific mechanisms in the early origins of adult PLC. [ABSTRACT FROM AUTHOR]
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- 2016
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14. Exploring possible epigenetic mediation of early-life environmental exposures on adiposity and obesity development.
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Richmond, Rebecca C., Timpson, Nicholas J., Sørensen, Thorkild IA, and Sørensen, Thorkild I A
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OBESITY genetics ,OBESITY treatment ,PHENOTYPES ,EPIGENETICS ,LONG-term care facilities ,EPIDEMIOLOGY - Published
- 2015
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15. Interaction between Genetic Predisposition to Adiposity and Dietary Protein in Relation to Subsequent Change in Body Weight and Waist Circumference.
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Ankarfeldt, Mikkel Z., Larsen, Sofus C., Ängquist, Lars, Husemoen, Lise Lotte N., Roswall, Nina, Overvad, Kim, Jakobsen, Marianne Uhre, Halkjær, Jytte, Tjønneland, Anne, Linneberg, Allan, Toft, Ulla, Hansen, Torben, Pedersen, Oluf, Heitmann, Berit L., Astrup, Arne, and Sørensen, Thorkild I. A.
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OBESITY ,LOW-protein diet ,SINGLE nucleotide polymorphisms ,GENETIC correlations ,PREVENTIVE medicine ,MEDICAL care societies - Abstract
Background: Genetic predisposition to adiposity may interact with dietary protein in relation to changes of anthropometry. Objective: To investigate the interaction between genetic predisposition to higher body mass index (BMI), waist circumference (WC) or waist-hip ratio adjusted for BMI (WHR
BMI ) and dietary protein in relation to subsequent change in body weight (ΔBW) or change in WC (ΔWC). Design: Three different Danish cohorts were used. In total 7,054 individuals constituted the study population with information on diet, 50 single-nucleotide polymorphisms (SNPs) associated with BMI, WC or WHRBMI , as well as potential confounders. Mean follow-up time was ∼5 years. Four genetic predisposition-scores were based on the SNPs; a complete-score including all selected adiposity- associated SNPs, and three scores including BMI, WC or WHRBMI associated polymorphisms, respectively. The association between protein intake and ΔBW or ΔWC were examined and interactions between SNP-score and protein were investigated. Analyses were based on linear regressions using macronutrient substitution models and meta-analyses. Results: When protein replaced carbohydrate, meta-analyses showed no associations with ΔBW (41.0 gram/y/5 energy% protein, [95% CI: −32.3; 114.3]) or ΔWC (<−0.1 mm/y/5 energy % protein, [−1.1; 1.1]). Similarly, there were no interactions for any SNP-scores and protein for either ΔBW (complete SNP-score: 1.8 gram/y/5 energy% protein/risk allele, [−7.0; 10.6]) or ΔWC (complete SNP-score: <0.1 mm/y/5 energy% protein/risk allele, [−0.1; 0.1]). Similar results were seen when protein replaced fat. Conclusion: This study indicates that the genetic predisposition to general and abdominal adiposity, assessed by gene-scores, does not seem to modulate the influence of dietary protein on ΔBW or ΔWC. [ABSTRACT FROM AUTHOR]- Published
- 2014
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16. Trends in Parent-Child Correlations of Childhood Body Mass Index during the Development of the Obesity Epidemic.
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Ajslev, Teresa A., Ängquist, Lars, Silventoinen, Karri, Baker, Jennifer L., and Sørensen, Thorkild I. A.
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BODY mass index ,OBESITY ,EPIDEMICS ,GLOBAL environmental change ,GENE expression - Abstract
Background: The intergenerational resemblance in body mass index may have increased during the development of the obesity epidemic due to changes in environment and/or expression of genetic predisposition. Objectives: This study investigates trends in intergenerational correlations of childhood body mass index (BMI; kg/m
2 ) during the emergence of the obesity epidemic. Methods: The study population was derived from the Copenhagen School Health Records Register, which includes height and weight measurements since birth year 1930. Mothers and fathers with BMIs available at ages 7 (n = 25,923 and n = 20,972) or 13 years (n = 26,750 and n = 21,397), respectively, were linked through the civil registration system introduced in 1968 to their children with BMIs available at age 7 years. Age- and sex-specific BMI z-scores were calculated. Correlations were estimated across eight intervals of child birth years (1952–1989) separately by sex. Trends in these correlations were examined. Whereas the mother-child correlations reflected the biological relationship, a likely decline in the assignment of non-biological fathers through the registration system across time must be considered when interpreting the father-child correlations. Results: The BMI correlations between mothers and sons ranged from 0.29–0.36 and they decreased marginally, albeit significantly across time at ages 7–7 years (−0.002/year, p = 0.006), whereas those at 13–7 years remained stable (<0.0004/year, p = 0.96). Mother-daughter correlations ranged from 0.30–0.34, and they were stable at ages 7–7 years (0.0001/year, p = 0.84) and at 13–7 years (0.0004/year, p = 0.56). In contrast, father-son correlations increased significantly during this period, both at ages 7–7 (0.002/year, p = 0.007) and at ages 13–7 years (0.003/year, p<0.001), whereas the increase in father-daughter correlations were insignificant both at ages 7–7 (0.001/year, p = 0.37) and at ages 13–7 years (0.001/year, p = 0.18). Conclusion: During the obesity epidemics development, the intergenerational resemblance with mothers remained stable, whereas the father-child BMI resemblance increased, possibly reflecting changes in family relationships, and unlikely to have influenced the epidemic. [ABSTRACT FROM AUTHOR]- Published
- 2014
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17. Risk of Childhood Overweight after Exposure to Tobacco Smoking in Prenatal and Early Postnatal Life.
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Møller, Susanne Eifer, Ajslev, Teresa Adeltoft, Andersen, Camilla Schou, Dalgård, Christine, and Sørensen, Thorkild I. A.
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OVERWEIGHT children ,PHYSIOLOGICAL effects of tobacco ,WOMEN'S tobacco use ,PREGNANT women ,SMOKING ,DOSE-response relationship in biochemistry - Abstract
Objective: To investigate the association between exposure to mothers smoking during prenatal and early postnatal life and risk of overweight at age 7 years, while taking birth weight into account. Methods: From the Danish National Birth Cohort a total of 32,747 families were identified with available information on maternal smoking status in child's pre- and postnatal life and child's birth weight, and weight and height at age 7 years. Outcome was overweight according to the International Obesity Task Force gender and age specific body mass index. Smoking exposure was categorized into four groups: no exposure (n = 25,076); exposure only during pregnancy (n = 3,343); exposure only postnatally (n = 140); and exposure during pregnancy and postnatally (n = 4,188). Risk of overweight according to smoking status as well as dose-response relationships were estimated by crude and adjusted odds ratios using logistic regression models. Results: Exposure to smoking only during pregnancy, or both during pregnancy and postnatally were both significantly associated with overweight at 7 years of age (OR: 1.31, 95% CI: 1.15–1.48, and OR: 1.76, 95% CI: 1.58–1.97, respectively). Analyses excluding children with low birth weight (<2,500 gram) revealed similar results. A significant prenatal dose-response relationship was found. Per one additional cigarette smoked per day an increase in risk of overweight was observed (OR: 1.02, 95% CI: 1.01–1.03). When adjusting for quantity of smoking during pregnancy, prolonged exposure after birth further increased the risk of later overweight in the children (OR 1.28, 95% CI:1.09–1.50) compared with exposure only in the prenatal period. Conclusions: Mother's perinatal smoking increased child's OR of overweight at age 7 years irrespective of birth weight, and with higher OR if exposed both during pregnancy and in early postnatal life. Clear dose-response relationships were observed, which emphasizes the need for prevention of any tobacco exposure of infants. [ABSTRACT FROM AUTHOR]
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- 2014
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18. Body Composition, Dietary Protein and Body Weight Regulation. Reconciling Conflicting Results from Intervention and Observational Studies?
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Ankarfeldt, Mikkel Z., Ängquist, Lars, Stocks, Tanja, Jakobsen, Marianne U., Overvad, Kim, Halkjær, Jytte, Saris, Wim H. M., Astrup, Arne, and Sørensen, Thorkild I. A.
- Subjects
BODY composition ,LOW-protein diet ,REGULATION of body weight ,CALORIC content of foods ,BODY temperature regulation ,WEIGHT gain ,CLINICAL trials - Abstract
Background/Objectives: Physiological evidence indicates that high-protein diets reduce caloric intake and increase thermogenic response, which may prevent weight gain and regain after weight loss. Clinical trials have shown such effects, whereas observational cohort studies suggest an association between greater protein intake and weight gain. In both types of studies the results are based on average weight changes, and show considerable diversity in both directions. This study investigates whether the discrepancy in the evidence could be due to recruitment of overweight and obese individuals into clinical trials. Subjects/Methods: Data were available from the European Diet, Obesity and Genes (DiOGenes) post-weight-loss weight-maintenance trial and the Danish Diet, Cancer and Health (DCH) cohort. Participants of the DCH cohort were matched with participants from the DiOGenes trial on gender, diet, and body characteristics. Different subsets of the DCH-participants, comparable with the trial participants, were analyzed for weight maintenance according to the randomization status (high or low protein) of the matched trial participants. Results: Trial participants were generally heavier, had larger waist circumference and larger fat mass than the participants in the entire DCH cohort. A better weight maintenance in the high-protein group compared to the low protein group was observed in the subgroups of the DCH cohort matching body characteristics of the trial participants. Conclusion: This modified observational study, minimized the differences between the RCT and observational data with regard to dietary intake, participant characteristics and statistical analysis. Compared with low protein diet the high protein diet was associated with better weight maintenance when individuals with greater body mass index and waist circumference were analyzed. Selecting subsets of large-scale observational cohort studies with similar characteristics as participants in clinical trials may reconcile the otherwise conflicting results. [ABSTRACT FROM AUTHOR]
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- 2014
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19. Severe Maternal Stress Exposure Due to Bereavement before, during and after Pregnancy and Risk of Overweight and Obesity in Young Adult Men: A Danish National Cohort Study.
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Hohwü, Lena, Li, Jiong, Olsen, Jørn, Sørensen, Thorkild I. A., and Obel, Carsten
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OBESITY risk factors ,OBESITY in men ,DURATION of pregnancy ,PREGNANCY complications ,OVERWEIGHT persons ,PSYCHOLOGICAL stress - Abstract
Background: Perinatal stress may programme overweight and obesity. We examined whether maternal pre- and post-natal bereavement was associated with overweight and obesity in young men. Methods: A cohort study was conducted including 119,908 men born from 1976 to 1993 and examined for military service between 2006 and 2011. Among them, 4,813 conscripts were born to mothers bereaved by death of a close relative from 12 months preconception to birth of the child (exposed group). Median body mass index (BMI) and prevalence of overweight and obesity were estimated. Odds ratio of overweight (BMI≥25 kg/m
2 ) and obesity (BMI≥30 kg/m2 ) were estimated by logistic regression analysis adjusted for maternal educational level. Results: Median BMI was similar in the exposed and the unexposed group but the prevalence of overweight (33.3% versus 30.4%, p = 0.02) and obesity (9.8% versus 8.5%, p = 0.06) was higher in the exposed group. Conscripts exposed 6 to 0 months before conception and during pregnancy had a higher risk of overweight (odds ratio 1.15, 95% confidence interval (CI): 1.03; 1.27 and odds ratio 1.13, 95% CI: 1.03; 1.25, respectively). Conscripts born to mothers who experienced death of the child’s biological father before child birth had a two-fold risk of obesity (odds ratio 2.00, 95% CI: 0.93; 4.31). There was no elevated risk in those who experienced maternal bereavement postnatally. Conclusion: Maternal bereavement during the prenatal period was associated with increased risk of overweight or obesity in a group of young male conscripts, and this may possibly be reflected to severe stress exposure early in life. However, not all associations were clear, and further studies are warranted. [ABSTRACT FROM AUTHOR]- Published
- 2014
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20. Stability of the Associations between Early Life Risk Indicators and Adolescent Overweight over the Evolving Obesity Epidemic.
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Graversen, Lise, Sørensen, Thorkild I. A., Petersen, Liselotte, Sovio, Ulla, Kaakinen, Marika, Sandbæk, Annelli, Laitinen, Jaana, Taanila, Anja, Pouta, Anneli, Järvelin, Marjo-Riitta, and Obel, Carsten
- Subjects
- *
OBESITY risk factors , *OBESITY , *EPIDEMICS , *ADOLESCENT obesity , *BODY size , *COHORT analysis , *BODY mass index , *DIAGNOSIS - Abstract
Background: Pre- and perinatal factors and preschool body size may help identify children developing overweight, but these factors might have changed during the development of the obesity epidemic. Objective: We aimed to assess the associations between early life risk indicators and overweight at the age of 9 and 15 years at different stages of the obesity epidemic. Methods: We used two population-based Northern Finland Birth Cohorts including 4111 children born in 1966 (NFBC1966) and 5414 children born in 1985–1986 (NFBC1986). In both cohorts, we used the same a priori defined prenatal factors, maternal body mass index (BMI), birth weight, infant weight (age 5 months and 1 year), and preschool BMI (age 2–5 years). We used internal references in early childhood to define percentiles of body size (<50, 50–75, 75–90 and >90) and generalized linear models to study the association with overweight, according to the International Obesity Taskforce (IOTF) definitions, at the ages of 9 and 15 years. Results: The prevalence of overweight at the age of 15 was 9% for children born in 1966 and 16% for children born in 1986. However, medians of infant weight and preschool BMI changed little between the cohorts, and we found similar associations between maternal BMI, infant weight, preschool BMI, and later overweight in the two cohorts. At 5 years, children above the 90th percentile had approximately a 12 times higher risk of being overweight at the age of 15 years compared to children below the 50th percentile in both cohorts. Conclusions: The associations between early body size and adolescent overweight showed remarkable stability, despite the increase in prevalence of overweight over the 20 years between the cohorts. Using consequently defined internal percentiles may be a valuable tool in clinical practice. [ABSTRACT FROM AUTHOR]
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- 2014
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21. Maternal Pre-Pregnancy BMI and Intelligence Quotient (IQ) in 5-Year-Old Children: A Cohort Based Study.
- Author
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Bliddal, Mette, Olsen, Jørn, Støvring, Henrik, Eriksen, Hanne-Lise F., Kesmodel, Ulrik S., Sørensen, Thorkild I. A., and Nøhr, Ellen A.
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PREGNANCY complications ,INTELLIGENCE levels ,BODY mass index ,CHILD psychology ,COHORT analysis ,COGNITIVE science - Abstract
Background: An association between maternal pre-pregnancy BMI and childhood intelligence quotient (IQ) has repeatedly been found but it is unknown if this association is causal or due to confounding caused by genetic or social factors. Methods: We used a cohort of 1,783 mothers and their 5-year-old children sampled from the Danish National Birth Cohort. The children participated between 2003 and 2008 in a neuropsychological assessment of cognitive ability including IQ tests taken by both the mother and the child. Linear regression analyses were used to estimate the associations between parental BMI and child IQ adjusted for a comprehensive set of potential confounders. Child IQ was assessed with the Wechsler Primary and Preschool Scales of Intelligence – Revised (WPPSI-R). Results: The crude association between maternal BMI and child IQ showed that BMI was adversely associated with child IQ with a reduction in IQ of −0.40 point for each one unit increase in BMI. This association was attenuated after adjustment for social factors and maternal IQ to a value of −0.27 (−0.50 to −0.03). After mutual adjustment for the father's BMI and all other factors except maternal IQ, the association between paternal BMI and child IQ yielded a regression coefficient of −0.26 (−0.59 to 0.07), which was comparable to that seen for maternal BMI (−0.20 (−0.44 to 0.04)). Conclusion: Although maternal pre-pregnancy BMI was inversely associated with the IQ of her child, the similar association with paternal BMI suggests that it is not a specific pregnancy related adiposity effect. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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22. Preschool Weight and Body Mass Index in Relation to Central Obesity and Metabolic Syndrome in Adulthood.
- Author
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Graversen, Lise, Sørensen, Thorkild I. A., Petersen, Liselotte, Sovio, Ulla, Kaakinen, Marika, Sandbaek, Annelli, Laitinen, Jaana, Taanila, Anja, Pouta, Anneli, Järvelin, Marjo-Riitta, and Obel, Carsten
- Subjects
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PRESCHOOL children , *BODY mass index , *ADOLESCENT obesity , *BODY weight , *METABOLIC syndrome , *MEDICAL screening - Abstract
Background: If preschool measures of body size routinely collected at preventive health examinations are associated with adult central obesity and metabolic syndrome, a focused use of these data for the identification of high risk children is possible. The aim of this study was to test the associations between preschool weight and body mass index (BMI) and adult BMI, central obesity and metabolic alterations. Methods: The Northern Finland Birth Cohort 1966 (NFBC1966) (N = 4111) is a population-based cohort. Preschool weight (age 5 months and 1 year) and BMI (age 2–5 years) were studied in relation to metabolic syndrome as well as BMI, waist circumference, lipoproteins, blood pressure, and fasting glucose at the age of 31 years. Linear regression models and generalized linear regression models with log link were used. Results: Throughout preschool ages, weight and BMI were significantly linearly associated with adult BMI and waist circumference. Preschool BMI was inversely associated with high-density lipoprotein levels from the age of 3 years. Compared with children in the lower half of the BMI range, the group of children with the 5% highest BMI at the age of 5 years had a relative risk of adult obesity of 6.2(95% CI:4.2–9.3), of adult central obesity of 2.4(95% CI:2.0–2.9), and of early onset adult metabolic syndrome of 2.5(95% CI:1.7–3.8). Conclusions: High preschool BMI is consistently associated with adult obesity, central obesity and early onset metabolic syndrome. Routinely collected measures of body size in preschool ages can help to identify children in need of focused prevention due to their increased risk of adverse metabolic alterations in adulthood. [ABSTRACT FROM AUTHOR]
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- 2014
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23. Development and Validation of a Risk Score Predicting Substantial Weight Gain over 5 Years in Middle-Aged European Men and Women.
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Steffen, Annika, Sørensen, Thorkild I A., Knüppel, Sven, Travier, Noemie, Sánchez, María-José, Huerta, José María, Quirós, J. Ramón, Ardanaz, Eva, Dorronsoro, Miren, Teucher, Birgit, Li, Kuanrong, Bueno-de-Mesquita, H. Bas, van der A, Daphne, Mattiello, Amalia, Palli, Domenico, Tumino, Rosario, Krogh, Vittorio, Vineis, Paolo, Trichopoulou, Antonia, and Orfanos, Philippos
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EUROPEANS , *MIDDLE-aged persons , *METABOLIC disorders , *COHORT analysis , *EPIDEMIOLOGY , *HEALTH policy , *DISEASES ,WEIGHT gain risk factors - Abstract
Background: Identifying individuals at high risk of excess weight gain may help targeting prevention efforts at those at risk of various metabolic diseases associated with weight gain. Our aim was to develop a risk score to identify these individuals and validate it in an external population. Methods: We used lifestyle and nutritional data from 53°758 individuals followed for a median of 5.4 years from six centers of the European Prospective Investigation into Cancer and Nutrition (EPIC) to develop a risk score to predict substantial weight gain (SWG) for the next 5 years (derivation sample). Assuming linear weight gain, SWG was defined as gaining ≥10% of baseline weight during follow-up. Proportional hazards models were used to identify significant predictors of SWG separately by EPIC center. Regression coefficients of predictors were pooled using random-effects meta-analysis. Pooled coefficients were used to assign weights to each predictor. The risk score was calculated as a linear combination of the predictors. External validity of the score was evaluated in nine other centers of the EPIC study (validation sample). Results: Our final model included age, sex, baseline weight, level of education, baseline smoking, sports activity, alcohol use, and intake of six food groups. The model's discriminatory ability measured by the area under a receiver operating characteristic curve was 0.64 (95% CI = 0.63–0.65) in the derivation sample and 0.57 (95% CI = 0.56–0.58) in the validation sample, with variation between centers. Positive and negative predictive values for the optimal cut-off value of ≥200 points were 9% and 96%, respectively. Conclusion: The present risk score confidently excluded a large proportion of individuals from being at any appreciable risk to develop SWG within the next 5 years. Future studies, however, may attempt to further refine the positive prediction of the score. [ABSTRACT FROM AUTHOR]
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- 2013
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24. 24h Urinary Sodium Excretion and Subsequent Change in Weight, Waist Circumference and Body Composition.
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Larsen, Sofus C., Ängquist, Lars, Sørensen, Thorkild I. A., and Heitmann, Berit L.
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URINARY organ physiology ,EXCRETION ,WAIST circumference ,BODY composition ,BODY mass index ,EPIDEMIOLOGICAL research ,MINERAL metabolism - Abstract
Background: In the same period as the increasing obesity epidemic, there has been an increased consumption of highly processed foods with a high salt content, and a few studies have suggested that a diet with a high salt content may be associated with obesity. Objective: To investigate the association between 24 h urinary sodium excretion and subsequent change in body weight (BW), waist circumference (WC), body fat (BF) and fat free mass (FFM) among adults. Design: A longitudinal population study based on the Danish part of the MONICA project, with examinations in 1987–1988 and 1993–1994. Complete information on 24 h urinary sodium excretion along with repeated measures of obesity, as well as on potential confounders, was obtained from 215 subjects. Linear regression was used to examine the association between sodium excretion, as a measure of salt consumption, and subsequent changes in BW, WC, BF and FFM, and further evaluated by restricted cubic splines. Stepwise adjustments were made for selected covariates. Results: Neither the crude nor the adjusted models showed any statistically significant associations between sodium excretion and change in BW or WC. Likewise, we found no significant association between sodium excretion and change in BF and FFM in the unadjusted models. However, after adjusting for potential baseline confounders and the concurrent BW change, we found a significant increase in BF of 0.24 kg (P = 0.015, CI: 0.05 to 0.43) per 100 mmol increase in 24 h urinary sodium excretion (equivalent to 6 g of salt), during the 6-year study period. Moreover, during the same period, we found a significant association with FFM of −0.21 kg (P = 0.041, CI: −0.40 to −0.01). Conclusions: These results suggest that a diet with a high salt content may have a negative influence on development in body composition by expanding BF and reducing FFM. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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25. Interaction between Obesity and the NFKB1 - 94ins/delATTG Promoter Polymorphism in Relation to Incident Acute Coronary Syndrome: A Follow Up Study in Three Independent Cohorts
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Stegger, Jakob Gerhard, Schmidt, Erik Berg, Berentzen, Tina Landsvig, Tjønneland, Anne, Vogel, Ulla, Rimm, Eric, Sørensen, Thorkild I. A., Overvad, Kim, and Jensen, Majken K.
- Subjects
OBESITY ,GENETIC polymorphisms ,PROMOTERS ,ACUTE coronary syndrome ,FOLLOW-up studies (Medicine) ,COHORT analysis ,NF-kappa B ,AP-1 transcription factor ,PROTEIN-protein interactions - Abstract
Introduction: The NF-κB transcription factor family regulates several genes encoding pro-inflammatory and anti-inflammatory proteins in adipose tissues and in atherosclerotic plaques. The deletion variant allele of the NFKB1 - 94ins/delATTG promoter polymorphism leads to lower transcript levels of the p50 subunit, and the variant allele has been associated with the risk of several inflammatory diseases as well as coronary heart disease where inflammation is important in the pathogenesis. The objective of this study was to explore the potential interaction between the NFKB1-94ins/delATTG promoter polymorphism and general, abdominal, and gluteofemoral obesity in relation to the risk of incident acute coronary syndrome (ACS) in three large independent cohorts. Methods and Results: The analyses were conducted in the Danish prospective study Diet, Cancer and Health and the two US based cohorts; Nurses’ Health Study and Health Professionals Follow-up Study. We conducted sex stratified analyses that included 1202 male and 708 female cases of incident ACS. We observed a positive association for general and abdominal obesity with risk of incident ACS, independent of genotype in both genders. Gluteofemoral obesity was negatively associated with ACS risk in women independent of genotype, whereas there was no clear association for men. We calculated the relative excess risk due to interaction (RERI) and observed a statistically significant excess risk among men jointly exposed to general or abdominal obesity and the variant allele of the NFKB1-94ATTG polymorphism, whereas there was a tendency towards sub-additivity for gluteofemoral obesity. The excess risks in all analyses were, however, small and could not clearly be demonstrated in women. Conclusion: The variant allele of the NFKB1-94ins/delATTG promoter polymorphism did not substantially modify the association between obesity and incident ACS. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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26. Maternal dietary glycaemic load during pregnancy and gestational weight gain, birth weight and postpartum weight retention: a study within the Danish National Birth Cohort.
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Knudsen, Vibeke K., Heitmann, Berit L., Halldorsson, Thorhallur I., Sørensen, Thorkild I. A., and Olsen, Sjurdur F.
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BIRTH size ,BIRTH weight ,BODY weight ,CHI-squared test ,COMPARATIVE studies ,CONFIDENCE intervals ,DIET ,EPIDEMIOLOGY ,CARBOHYDRATE content of food ,GLYCEMIC index ,INGESTION ,INTERVIEWING ,LONGITUDINAL method ,EVALUATION of medical care ,PROBABILITY theory ,PUERPERIUM ,QUESTIONNAIRES ,REGRESSION analysis ,RESEARCH funding ,TIME ,WEIGHT gain ,LOGISTIC regression analysis ,DATA analysis ,BODY mass index ,LIFESTYLES ,PREGNANCY - Abstract
Dietary glycaemic index and glycaemic load (GL) have been related to obesity and other health outcomes. The objective of the present study was to examine the associations between maternal dietary GL and gestational weight gain, birth weight, the risk of giving birth to a child large-for-gestational age (LGA) or small-for-gestational age and postpartum weight retention (PPWR). Data were derived from the Danish National Birth Cohort (1996–2002), including data on gestational and lifestyle factors in pregnancy and 18 months postpartum. Dietary data were collected using a validated FFQ. Information on birth outcome was obtained through registers. A total of 47 003 women were included. The associations between the GL and birth outcome, gestational weight gain, assessed between weeks 12 and 30 of gestation, and PPWR were analysed by linear and logistic regression. Birth weight increased by 36 g from the lowest to highest GL quintile (95 % CI 19, 53 g), and an increased risk of LGA of 14 % was detected in the highest GL quintile compared with the lowest GL quintile. Among normal-weight and overweight women, higher gestational weight gain rates were detected in the highest GL quintile (26 g/week (95 % CI 19, 34) and 30 g/week (95 % CI 13, 46), respectively). The association between the GL and PPWR was most pronounced among pre-pregnant obese women, with an increase in weight retention of 1·3 (95 % CI 0·2, 2·8) kg from the lowest to highest GL quintile. The GL may play a role for excessive gestational weight gain and PPWR, which may be more pronounced among overweight and obese women. [ABSTRACT FROM PUBLISHER]
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- 2013
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27. Being an Only or Last-Born Child Increases Later Risk of Obesity.
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Haugaard, Line K., Ajslev, Teresa A., Zimmermann, Esther, Ängquist, Lars, and Sørensen, Thorkild I. A.
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OBESITY risk factors ,YOUNGEST child ,MEDICAL records ,LOGISTIC regression analysis ,BODY mass index ,BIRTH order - Abstract
Background: Studies have suggested that number of siblings and birth order is associated with obesity. However, studies combining these exposures are needed. This study aimed at investigating obesity in children and young adults in regard to different combinations of family size and birth order. Methods: Two cohorts selected from the general population were investigated: The Copenhagen School Health Records Register (CSHRR) and a Draft Board (DB) sample with measured heights and weights in childhood (age 13 years) and young adulthood (age 19 years), respectively. Information on birth order, number of siblings, and relevant covariates were available on 29 327 children, as well as on 323 obese young men and 575 randomly selected controls of young men representing approximately 58 000. The relation between number of siblings and birth order, respectively, and having a Body Mass Index (BMI) z-score above or equal to the 95
th percentile in childhood or having a BMI of at least 31.00 kg/m2 in young adulthood was analysed using logistic regression analyses adjusted for relevant confounders. Results: Only children had significantly higher odds of obesity both in childhood and in young adulthood compared with children with siblings, odds ratio (OR) = 1.44 (95% Confidence Interval (CI): 1.26–1.66) and OR = 1.76 (95% CI: 1.18–2.61), respectively. No association between first-born status and obesity was found. The OR of last-born children being obese was also significantly increased in childhood, e.g. OR = 1.93 (95% CI: 1.09−3.43) of obesity if last-born in a family of four children. This was not found in young adulthood. Additionally, higher spacing to previous sibling (average 1872 vs. 1303 days; p = 0.026 in four children families) was observed in obese last-born compared to non-obese last-born children. Conclusion: Being an only or last-born child is associated with obesity. These associations may provide leads to targeted prevention of obesity in children. [ABSTRACT FROM AUTHOR]- Published
- 2013
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28. Fish consumption and subsequent change in body weight in European women and men.
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Jakobsen, Marianne U., Dethlefsen, Claus, Due, Karen M., May, Anne M., Romaguera, Dora, Vergnaud, Anne-Claire, Norat, Teresa, Sørensen, Thorkild I. A., Halkjær, Jytte, Tjønneland, Anne, Boutron-Ruault, Marie-Christine, Clavel-Chapelon, Francoise, Fagherazzi, Guy, Teucher, Birgit, Kühn, Tilman, Bergmann, Manuela M., Boeing, Heiner, Naska, Androniki, Orfanos, Philippos, and Trichopoulou, Antonia
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BODY weight ,CONFIDENCE intervals ,EPIDEMIOLOGY ,LONGITUDINAL method ,QUESTIONNAIRES ,REGRESSION analysis ,RESEARCH funding ,STATISTICAL sampling ,SEAFOOD ,SEX distribution ,STATURE ,LOGISTIC regression analysis ,DATA analysis ,FOOD diaries ,PHYSICAL activity ,DATA analysis software - Abstract
Fish consumption is the major dietary source of EPA and DHA, which according to rodent experiments may reduce body fat mass and prevent obesity. Only a few human studies have investigated the association between fish consumption and body-weight gain. We investigated the association between fish consumption and subsequent change in body weight. Women and men (n 344 757) participating in the European Prospective Investigation into Cancer and Nutrition were followed for a median of 5·0 years. Linear and logistic regression were used to investigate the associations between fish consumption and subsequent change in body weight. Among women, the annual weight change was 5·70 (95 % CI 4·35, 7·06), 2·23 (95 % CI 0·16, 4·31) and 11·12 (95 % CI 8·17, 14·08) g/10 g higher total, lean and fatty fish consumption per d, respectively. The OR of becoming overweight in 5 years among women who were normal weight at enrolment was 1·02 (95 % CI 1·01, 1·02), 1·01 (95 % CI 1·00, 1·02) and 1·02 (95 % CI 1·01, 1·04) g/10 g higher total, lean and fatty consumption per d, respectively. Among men, fish consumption was not statistically significantly associated with weight change. Adjustment for potential over- or underestimation of fish consumption did not systematically change the observed associations, but the 95 % CI became wider. The results in subgroups from analyses stratified by age or BMI at enrolment were not systematically different. In conclusion, the present study suggests that fish consumption has no appreciable association with body-weight gain. [ABSTRACT FROM PUBLISHER]
- Published
- 2013
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29. Influence of dietary protein intake and glycemic index on the association between TCF7L2 HapA and weight gain.
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Fisher, Eva, Meidtner, Karina, Anguist, Lars, Holst, Claus, Dalgaard Hansen, Rikke, Halkiœr, Jytte, Masala, Giovanna, Nautrup Østergaard, Jane, Overvad, Kim, Palli, Domenico, Vimaleswaran, Karani S., Tjønneland, Anne, van der A, Daphne L., Wareham, Nicholas J., Sørensen, Thorkild I. A., Loos, Ruth J. F., and Boeing, Heiner
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ALLELES ,ANTHROPOMETRY ,CONFIDENCE intervals ,EPIDEMIOLOGY ,CARBOHYDRATE content of food ,GENETIC polymorphisms ,GLYCEMIC index ,LONGITUDINAL method ,NUTRITIONAL assessment ,DIETARY proteins ,RESEARCH funding ,SELF-evaluation ,WEIGHT gain ,STATISTICAL power analysis ,DATA analysis ,MULTIPLE regression analysis ,BODY mass index ,DATA analysis software ,DESCRIPTIVE statistics - Abstract
Background: Genetic polymorphisms of transcription factor 7-like 2 (TCF7L2) have been associated with type 2 diabetes and BMI. Objective: The objective was to investigate whether TCF7L2 HapA is associated with weight development and whether such an association is modulated by protein intake or by the glycemic index (GI). Design: The investigation was based on prospective data from 5 cohort studies nested within the European Prospective Investigation into Cancer and Nutrition. Weight change was followed up for a mean (±SD) of 6.8 ± 2.5 y. TCF7L2 rs7903146 and rsl0885406 were successfully genotyped in 11,069 individuals and used to derive HapA. Multiple logistic and linear regression analysis was applied to test for the main effect of HapA and its interaction with dietary protein or GI. Analyses from the cohorts were combined by random- effects meta-analysis. Results: HapA was associated neither with baseline BMI (0.03 ± 0.07 BMI units per allele; P = 0.6) nor with annual weight change (8.8 ± 11.7 g/y per allele; P = 0.5). However, a previously shown positive association between intake of protein, particularly of animal origin, and subsequent weight change in this population proved to be attenuated by TCF7L2 HapA (P-interaction = 0.01). We showed that weight gain becomes independent of protein intake with an increasing number of HapA alleles. Substitution of protein with either fat or carbohydrates showed the same effects. No interaction with GI was observed. Conclusion: TCF7L2 HapA attenuates the positive association between animal protein intake and long-term body weight change in middle-aged Europeans but does not interact with the GI of the diet. [ABSTRACT FROM AUTHOR]
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- 2012
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30. Body Mass, Fat-Free Body Mass, and Prognosis in Patients with Chronic Obstructive Pulmonary Disease from a Random Population Sample.
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Vestbo, Jørgen, Prescott, Eva, Almdal, Thomas, Dahl, Morten, Nordestgaard, Børge G., Andersen, Teis, Sørensen, Thorkild I. A., and Lange, Peter
- Published
- 2006
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31. The Danish National Birth Cohort – its background, structure and aim.
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Olsen, Jørn, Melbye, Mads, Olsen, Sjurdur F, Sørensen, Thorkild I A, Aaby, Peter, Nybo Andersen, Anne-Marie, Taxbøl, Dorthe, Dynnes Hansen, Kit, Juhl, Mette, Broby Schow, Tina, Toft Sørensen, Henrik, Andresen, Jente, Lykke Mortensen, Erik, Wind Olesen, Annette, and Søndergaard, Charlotte
- Subjects
DISEASES ,PREGNANT women ,COHORT analysis - Abstract
Background: It is well known that the time from conception to early childhood has importance for health conditions that reach into later stages of life. Recent research supports this view, and diseases such as cardiovascular morbidity, cancer, mental illnesses, asthma, and allergy may all have component causes that act early in life. Exposures in this period, which influence fetal growth, cell divisions, and organ functioning, may have long-lasting impact on health and disease susceptibility. Methods: To investigate these issues the Danish National Birth Cohort (Better health for mother and child) was established. A large cohort of pregnant women with long-term follow-up of the offspring was the obvious choice because many of the exposures of interest cannot be reconstructed with sufficient validity back in time. The study needs to be large, and it is aimed to recruit 100,000 women early in pregnancy, and to continue follow-up for decades. The Nordic countries are better suited for this kind of research than most other countries because of their population-based registers on diseases, demography and social conditions, linkable at the individual level by means of the unique ID-number given to all citizens. Exposure information is mainly collected by computer-assisted telephone interviews with the women twice during pregnancy and when their children are six and 18 months old. Participants are also asked to fill in a self-administered food frequency questionnaire in mid-pregnancy. Furthermore, a biological bank has been set up with blood taken from the mother twice during pregnancy and blood from the umbilical cord taken shortly after birth. Data collection started in 1996 and the project covered all regions in Denmark in 1999. By August 2000, a total of 60,000 pregnant women had been recruited to the study. It is expected that a large number of gene-environmental hypotheses need to be based on case-control analyses within a cohort like this. [ABSTRACT FROM AUTHOR]
- Published
- 2001
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32. Leisure-time Physical Activity Levels and Changes in Relation to Risk of Hip Fracture in Men and Women.
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Høidrup, Susanne, Sørensen, Thorkild I. A., Strøger, Ulla, Lauritzen, Jes Bruun, Schroll, Marianne, and Grønbæk, Morten
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LEISURE ,PHYSICAL fitness ,BONE fractures ,OSTEOPOROSIS ,DISEASE risk factors ,EPIDEMIOLOGY - Abstract
The authors prospectively studied the effect of leisure-time physical activity level on hip fracture risk along with the influence of within-subject changes in activity levels, while taking possible confounding by other health behaviors and poor health into account. Analyses were based on pooled data from three population studies conducted in Copenhagen, Denmark. Among 13,183 women and 17,045 men, 1,121 first hip fractures were identified during follow-up. In comparison with being sedentary, the relative risk (RR) of hip fracture associated with being moderately physically active 2-4 hours per week was 0.72 (95% confidence interval (CI): 0.59, 0.89) in women and 0.75 (95% CI: 0.55, 1.03) in men after adjustment for confounders. Being in the most active leisure activity category did not decrease the risk of hip fracture further. Adjustment for poor health affected the risk estimates only modestly. Subjects who, during follow-up, reduced their physical activity level from the highest or the intermediate activity level to a sedentary level had a higher risk of hip fracture than did those who remained moderately physically active at the intermediate level (multivariate adjusted RR = 2.19, 95% CI: 1.00, 4.84 and RR = 1.89, 95% CI: 1.21, 2.95, for reduction from the highest and intermediate levels, respectively). There was no evidence of a fracture-protective effect from increasing physical activity. In conclusion, moderate levels of physical activity appear to provide protection against later hip fracture. Decline in the physical activity level over time is an important risk factor for hip fracture. Am J Epidemiol 2001;154:60-8. [ABSTRACT FROM AUTHOR]
- Published
- 2001
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33. Trends in mortality, incidence and case fatality of ischaemic heart disease in Denmark, 1982-1992.
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OSLER, MERETE, SØRENSEN, THORKILD I A, SØRENSEN, SVEND, ROSTGAARD, KLAUS, JENSEN, GORM, IVERSEN, LARS, KRISTENSEN, TAGE S, MADSEN, METTE, Osler, M, Sørensen, T I, Sørensen, S, Rostgaard, K, Jensen, G, Iversen, L, Kristensen, T S, and Madsen, M
- Subjects
MYOCARDIAL infarction-related mortality ,CORONARY disease ,CAUSES of death ,MORTALITY ,DISEASE incidence ,ACQUISITION of data - Abstract
Osler M (Department of Social Medicine, University of Copenhagen, Blegdamsvej 3, Copenhagen, DK-2200, Denmark), Sørensen T I A, SØrensen S, Rostgaard K, Jensen G, Iversen L, Kristensen T S and Madsen M. Trends in mortality, incidence and case fatality of ischaemic heart disease In Denmark, 1982–1992. International Journal of Epidemiology 1996; 25: 1154–1161.Background In Denmark, as in many other Western countries, a decline in mortality from ischaemic heart disease (IHD) has been observed. The present study assesses whether the decline in IHD mortality is due to a decrease in incidence and/or case-fatality, and whether parallel changes occurred in the various manifestations of IHD requiring hospitalization. Methods The National Patient Register of hospital discharges and the Causes-of-Death Register were linked and all cases of first admission for IHD including AMI and fatal first manifestation of IHD since 1977 In the entire Danish population were identified. Cases of AMI and IHD were considered as incident cases if no admission for these diagnoses had occurred during the preceding 5 years. Sex-specific, age-standardized annual mortality, Incidence and case-fatality rates of AMI (ICD8 code 410), narrowly defined IHD (NIHD, ICD8 codes 410–4) and broadly defined IHD (BIHD, ICD8 codes 410–4, 427 and 795–6) were calculated for the period 1982–1992. Results During the entire period the age-standardized mortality of AMI, NIHD and BIHD decreased In both men and women. The Incidence of AMI and NIHD decreased, wtille the Incidence of BIHD remained constant. Case fatality of AMI decreased in both men and women, while case fatality of NIHD and BIHD decreased In men and In women aged 0–64 years only. Conclusion The declining mortality from IHD in Denmark may be partly due to declining incidence as well as declining case fatality, but changes in disease manifestation or diagnostic drift may also contribute because more broadly defined diagnostic groups showed less or no decline in incidence. [ABSTRACT FROM PUBLISHER]
- Published
- 1996
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34. Interaction between Obesity and the NFKB1 - 94ins/delATTG Promoter Polymorphism in Relation to Incident Acute Coronary Syndrome: A Follow Up Study in Three Independent Cohorts
- Author
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Stegger, Jakob Gerhard, Schmidt, Erik Berg, Berentzen, Tina Landsvig, Tjønneland, Anne, Vogel, Ulla, Rimm, Eric B., Sørensen, Thorkild I. A., Overvad, Kim, and Jensen, Majken Karoline
- Subjects
Medicine ,Cardiovascular ,Acute Cardiovascular Problems ,Atherosclerosis ,Cardiovascular Diseases in Women ,Coronary Artery Disease ,Myocardial Infarction ,Vascular Biology ,Clinical Genetics ,Chromosomal Disorders ,Chromosomal Deletions and Duplications ,Epidemiology ,Cardiovascular Disease Epidemiology ,Clinical Epidemiology ,Epidemiological Methods ,Genetic Epidemiology ,Nutrition ,Obesity - Abstract
Introduction: The NF-κB transcription factor family regulates several genes encoding pro-inflammatory and anti-inflammatory proteins in adipose tissues and in atherosclerotic plaques. The deletion variant allele of the NFKB1 - 94ins/delATTG promoter polymorphism leads to lower transcript levels of the p50 subunit, and the variant allele has been associated with the risk of several inflammatory diseases as well as coronary heart disease where inflammation is important in the pathogenesis. The objective of this study was to explore the potential interaction between the NFKB1-94ins/delATTG promoter polymorphism and general, abdominal, and gluteofemoral obesity in relation to the risk of incident acute coronary syndrome (ACS) in three large independent cohorts. Methods and Results: The analyses were conducted in the Danish prospective study Diet, Cancer and Health and the two US based cohorts; Nurses’ Health Study and Health Professionals Follow-up Study. We conducted sex stratified analyses that included 1202 male and 708 female cases of incident ACS. We observed a positive association for general and abdominal obesity with risk of incident ACS, independent of genotype in both genders. Gluteofemoral obesity was negatively associated with ACS risk in women independent of genotype, whereas there was no clear association for men. We calculated the relative excess risk due to interaction (RERI) and observed a statistically significant excess risk among men jointly exposed to general or abdominal obesity and the variant allele of the NFKB1-94ATTG polymorphism, whereas there was a tendency towards sub-additivity for gluteofemoral obesity. The excess risks in all analyses were, however, small and could not clearly be demonstrated in women. Conclusion: The variant allele of the NFKB1-94ins/delATTG promoter polymorphism did not substantially modify the association between obesity and incident ACS.
- Published
- 2013
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35. Global trends in the prevalence of overweight and obesity.
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Schmidt Morgen, Camilla and Sørensen, Thorkild I. A.
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OBESITY , *DISEASE prevalence , *DISEASE management , *EPIDEMIOLOGY , *HEALTH ,DEVELOPING countries - Abstract
The article discusses global trends in studies on the prevalence of overweight and obesity from 1980 to 2013. An analysis carried out by M. Ng and colleagues has shown that there is an increase in the prevalence of overweight and obesity in both developed and developing countries. According to the authors, the finding of the analysis that there is a levelling off in the increase in developing countries would help in finding ways to treat and prevent overweight and obesity.
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- 2014
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36. Maternal Distress during Pregnancy and Offspring Childhood Overweight.
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Glejsted Ingstrup, Katja, Andersen, Camilla Schou, Adeltoft Ajslev, Teresa, Pedersen, Pernille, Sørensen, Thorkild I. A., and Nohr, Ellen A.
- Subjects
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CHI-squared test , *CONFIDENCE intervals , *EPIDEMIOLOGY , *INTERVIEWING , *LONGITUDINAL method , *OBESITY , *QUESTIONNAIRES , *RESEARCH funding , *STATISTICS , *PSYCHOLOGICAL stress , *DATA analysis , *MULTIPLE regression analysis , *DATA analysis software , *CHILDREN , *PREGNANCY - Abstract
Background. Maternal distress during pregnancy increases the intrauterine level of glucocorticoids, which may have long-term health consequences for the child. Objective. To examine if distress as a combined measure of anxiety, depression, and stress of the mother during pregnancy was associated with offspring childhood overweight at age 7. Methods. We performed a cohort study using prospective data from 37,764 women and child dyads from the Danish National Birth Cohort (1996-2002). At a telephone interview at approximately 30 weeks gestation, the women reported whether they felt anxious, depressed, or stressed. The 95 percentile for body mass index in an international reference defined childhood overweight at any given age. Logistic regression was used for the analyses. Results. The prevalence of overweight children at 7 years of age was 9.9%. Prenatal exposure to maternal distress during pregnancy was not associated with childhood overweight at 7 years of age (adjusted OR 1.06 (95% CI 0.96; 1.18)). In analyses stratified on sex, a small tendency of overweight was seen in boys (OR 1.15 (0.99; 1.33)), but not in girls (OR0.98 (0.85; 1.13)). Conclusions. Maternal distress during pregnancy appeared to have limited, if any, influence on the risk of overweight in offspring at 7 years of age. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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37. Impact of maternal body mass index and gestational weight gain on pregnancy complications: an individual participant data meta-analysis of European, North American and Australian cohorts
- Author
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Eleni Papadopoulou, Andrea von Berg, Camilla Stoltenberg, Luca Ronfani, Romy Gaillard, Marie Standl, Martine Vrijheid, Sheila McDonald, Yannis Manios, Anne M. Karvonen, Marie-Aline Charles, George P. Chrousos, Daniela Porta, Anne-Marie Nybo Andersen, Keith M. Godfrey, Carol Ní Chaoimh, Costanza Pizzi, Marleen M.H.J. van Gelder, Lawrence J. Beilin, Ana Cristina Santos, Camilla Schmidt Morgen, Monique Mommers, Hazel Inskip, Alet H. Wijga, Per Magnus, Marie-France Hivert, Nel Roeleveld, Lenie van Rossem, Tanja G. M. Vrijkotte, Barbara Heude, Jane West, Steve Turner, Myriam Doyon, Thorkild I. A. Sørensen, Adriëtte J J M Oostvogels, Carel Thijs, Erik Melén, Merete Eggesbø, Maties Torrent, Irina Lehmann, Davide Gori, Susana Santos, Emily Oken, Berthold Koletzko, Ellis Voerman, John Wright, Agnieszka Pac, Pilar Amiano, Sarah Crozier, John Mehegan, Hein Stigum, Louise C. Kenny, Vincent W. V. Jaddoe, Deirdre M. Murray, Debbie A Lawlor, Francesco Forastiere, Johanna Mäkelä, Lorenzo Richiardi, Anna Bergström, Fionnuala M. McAuliffe, Elisabeth Thiering, Nathalie Costet, Hanna Lagström, Juha Pekkanen, Sheryl L. Rifas-Shiman, George Moschonis, Renata Majewska, Kinga Polańska, Rae-Chi Huang, Graham Devereux, Veit Grote, Leanne K. Küpers, Irva Hertz-Picciotto, Eva Corpeleijn, Ellen A. Nohr, Leda Chatzi, Olga Costa, Oleksandr Zvinchuk, Sara Farchi, Cécile Chevrier, Vagelis Georgiu, Tomas Trnovec, Henrique Barros, Maria Pia Fantini, Suzanne Tough, Wojciech Hanke, Daniel O. Hryhorczuk, Pediatrics, Erasmus MC other, Epidemiology, Reproductive Origins of Adult Health and Disease (ROAHD), Lifestyle Medicine (LM), Complexe Genetica, RS: NUTRIM - R3 - Respiratory & Age-related Health, Epidemiologie, RS: CAPHRI - R5 - Optimising Patient Care, ARD - Amsterdam Reproduction and Development, APH - Health Behaviors & Chronic Diseases, APH - Aging & Later Life, Public and occupational health, APH - Methodology, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Keck School of Medicine [Los Angeles], University of Southern California (USC), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Azienda Sanitaria Locale [ROMA] (ASL), Norwegian Institute of Public Health [Oslo] (NIPH), Santos, Susana, Voerman, Elli, Amiano, Pilar, Barros, Henrique, Beilin, Lawrence J, Bergström, Anna, Charles, Marie-Aline, Chatzi, Leda, Chevrier, Cécile, Chrousos, George P, Corpeleijn, Eva, Costa, Olga, Costet, Nathalie, Crozier, Sarah, Devereux, Graham, Doyon, Myriam, Eggesbø, Merete, Fantini, Maria Pia, Farchi, Sara, Forastiere, Francesco, Georgiu, Vageli, Godfrey, Keith M, Gori, Davide, Grote, Veit, Hanke, Wojciech, Hertz-Picciotto, Irva, Heude, Barbara, Hivert, Marie-France, Hryhorczuk, Daniel, Huang, Rae-Chi, Inskip, Hazel, Karvonen, Anne M, Kenny, Louise C, Koletzko, Berthold, Küpers, Leanne K, Lagström, Hanna, Lehmann, Irina, Magnus, Per, Majewska, Renata, Mäkelä, Johanna, Manios, Yanni, McAuliffe, Fionnuala M, McDonald, Sheila W, Mehegan, John, Melén, Erik, Mommers, Monique, Morgen, Camilla S, Moschonis, George, Murray, Deirdre, Chaoimh, Carol Ní, Nohr, Ellen A, Nybo Andersen, Anne-Marie, Oken, Emily, Oostvogels, Adriëtte J J M, Pac, Agnieszka, Papadopoulou, Eleni, Pekkanen, Juha, Pizzi, Costanza, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Rifas-Shiman, Sheryl L, Roeleveld, Nel, Ronfani, Luca, Santos, Ana C, Standl, Marie, Stigum, Hein, Stoltenberg, Camilla, Thiering, Elisabeth, Thijs, Carel, Torrent, Matie, Tough, Suzanne C, Trnovec, Toma, Turner, Steve, van Gelder, Marleen M H J, van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja G M, West, Jane, Wijga, Alet H, Wright, John, Zvinchuk, Oleksandr, Sørensen, Thorkild I A, Lawlor, Debbie A, Gaillard, Romy, Jaddoe, Vincent W V, Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Public Health, and University of Helsinki
- Subjects
Gestational hypertension ,and promotion of well-being ,Nutrition and Disease ,Birthweight ,Reproductive health and childbirth ,Low Birth Weight and Health of the Newborn ,Cardiovascular ,Medical and Health Sciences ,DISEASE ,Cohort Studies ,0302 clinical medicine ,3123 Gynaecology and paediatrics ,Risk Factors ,Pregnancy ,Voeding en Ziekte ,Infant Mortality ,Odds Ratio ,Medicine ,Birth Weight ,2.1 Biological and endogenous factors ,EPIDEMIOLOGY ,wq_200 ,Aetiology ,2. Zero hunger ,Pediatric ,RISK ,education.field_of_study ,OUTCOMES ,030219 obstetrics & reproductive medicine ,Obstetrics ,pregnancy complications ,Diabetes ,Obstetrics and Gynecology ,Gestational age ,weight gain ,ASSOCIATION ,Gestational Weight Gain ,Gestational diabetes ,Europe ,Body Mass Index ,Pregnancy Complications ,Preterm Birth ,Weight Gain ,OBESITY ,Female ,medicine.symptom ,Adult ,medicine.medical_specialty ,PRETERM BIRTH ,Birth weight ,Population ,Gestational Age ,body mass index ,[SDV.MHEP.GEO]Life Sciences [q-bio]/Human health and pathology/Gynecology and obstetrics ,wa_310 ,Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18] ,03 medical and health sciences ,All institutes and research themes of the Radboud University Medical Center ,Preterm ,Clinical Research ,Humans ,wq_100 ,Obesity ,education ,Obstetrics & Reproductive Medicine ,Metabolic and endocrine ,Nutrition ,business.industry ,Contraception/Reproduction ,Prevention ,preterm birth ,Australia ,Infant ,birth weight ,DIABETES-MELLITUS ,Preterm birth weight gain ,Overweight ,Perinatal Period - Conditions Originating in Perinatal Period ,medicine.disease ,Newborn ,Prevention of disease and conditions ,Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10] ,Good Health and Well Being ,North America ,3.1 Primary prevention interventions to modify behaviours or promote wellbeing ,pregnancy complication ,business ,Weight gain ,Body mass index ,wb_200 - Abstract
ObjectiveTo assess the separate and combined associations of maternal pre‐pregnancy body mass index (BMI) and gestational weight gain with the risks of pregnancy complications and their population impact.DesignIndividual participant data meta‐analysis of 39 cohorts.SettingEurope, North America, and Oceania.Population265 270 births.MethodsInformation on maternal pre‐pregnancy BMI, gestational weight gain, and pregnancy complications was obtained. Multilevel binary logistic regression models were used.Main outcome measuresGestational hypertension, pre‐eclampsia, gestational diabetes, preterm birth, small and large for gestational age at birth.ResultsHigher maternal pre‐pregnancy BMI and gestational weight gain were, across their full ranges, associated with higher risks of gestational hypertensive disorders, gestational diabetes, and large for gestational age at birth. Preterm birth risk was higher at lower and higher BMI and weight gain. Compared with normal weight mothers with medium gestational weight gain, obese mothers with high gestational weight gain had the highest risk of any pregnancy complication (odds ratio 2.51, 95% CI 2.31– 2.74). We estimated that 23.9% of any pregnancy complication was attributable to maternal overweight/obesity and 31.6% of large for gestational age infants was attributable to excessive gestational weight gain.ConclusionsMaternal pre‐pregnancy BMI and gestational weight gain are, across their full ranges, associated with risks of pregnancy complications. Obese mothers with high gestational weight gain are at the highest risk of pregnancy complications. Promoting a healthy pre‐pregnancy BMI and gestational weight gain may reduce the burden of pregnancy complications and ultimately the risk of maternal and neonatal morbidity.Tweetable abstractPromoting a healthy body mass index and gestational weight gain might reduce the population burden of pregnancy complications.
- Published
- 2019
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