University of Groningen The epidemiology of abdominal adiposity De Lucia Rolfe, Emanuella IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 2012 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): De Lucia Rolfe, E. (2012). The epidemiology of abdominal adiposity: validation and application of ultrasonography to estimate visceral and subcutaneous abdominal fat and to identify their early life determinants Groningen: s.n. Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. Download date: 14-06-2017 Acknowledgments Acknowledgments First and foremost, I would like to express my sincere gratitude to my supervisors Professor Ronald Stolk and Dr Ken Ong for their continuous support throughout my PhD. I particularly thank Dr Ken Ong for his patience, motivation and immense knowledge. I understand that it has been challenging at times for both of us when I found it difficult to maintain the balance between supporting the anthropometry operational activities and developing my scientific research work, but we got there in the end! My sincere thank also goes to Professor Nick Wareham and Dr Rachel Curran for allowing me to pursue a Part-time PhD, while working in the MRC Epidemiology Unit as the Anthropometry Specialist. I would also like to thank the following authors, Dr Ruth Loos, Professor Shane Norris, Dr Francis Finucane, Dr Alison Sleigh, Dr Celine Druet, Professor David Dunger, Dr Nita Forouhi, Dr Ulf Ekelund, Professor Nick Wareham, Dr Simon Griffin, Professor Neena Modi who contributed to the papers included in this thesis, for their encouragement and insightful comments. I particularly would like to thank Dr Soren Brage and Stephen Sharp who patiently taught me the magic world of STATA! I thank my fellows in the MRC Epidemiology Unit: Dr Rajalakshmi Lakshman, Dr Katrien Wijndaele, Inka Barnett, Dr Kirsten Corder, Dr Alison McMinn, Kate Westgate, Dr Esther Van Sluijs, Dr Charlotte Ridgway, Dr Cathy Elks and Dr Luigi Palla. This group has been a source of friendship as well as good advice and collaboration. The studies discussed in this thesis would not have been possible without the support of the functional group at the MRC Epidemiology Unit (the admin, the Field Epidemiology, IT and data teams). I am particularly grateful to Richard Powell, Ruhul Amin and Rupesh Ghelani, without their help it would have been difficult to complete this work. I would also like to thank my fellows, in the Department of Epidemiology (University Medical Center Groningen), Mireille Edens, Carianne Abée, Hiltje Oute Luttikhuis and Eryn Liem, who always made me very welcome when working in Groningen. 137 Acknowledgments A special thank to Aukje van der Zee, in the Department of Epidemiology (University Medical Center Groningen) who has always helped me with administrative practicalities. I would also like to thank Prof. P.J.J. Sauer, Prof. M. Oudkerk, Prof. M.L. Bots for being the members of the reading committee of my thesis. I also thank my closest friends, Rachel and Katrien for keeping me sane during this long journey; and the friends from the mums’ groups, in particular, Sam, Nicola, Sanna, Martina, Carlene, Tamara, Ellie and Bennie. Lastly, I would like to thank my family: my parents, Lorna and Maurizio, particularly my mum, who always supported me in all my pursuits; my loving husband, Chris, who has been very patient, supportive and encouraging throughout my PhD; and most of all, my little son, Alessandro, who kept me smiling during tough times in the PhD pursuit. Thank you! 138
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