Literature DB >> 23576214

The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection.

Renée de Mutsert1, Martin den Heijer, Ton Johannes Rabelink, Johannes Willem Adriaan Smit, Johannes Anthonius Romijn, Johan Wouter Jukema, Albert de Roos, Christa Maria Cobbaert, Margreet Kloppenburg, Saskia le Cessie, Saskia Middeldorp, Frits Richard Rosendaal.   

Abstract

Obesity is a well-established risk factor for many chronic diseases. Incomplete insight exists in the causal pathways responsible for obesity-related disorders and consequently, in the identification of obese individuals at risk of these disorders. The Netherlands Epidemiology of Obesity (NEO) study is designed for extensive phenotyping to investigate pathways that lead to obesity-related diseases. The NEO study is a population-based, prospective cohort study that includes 6,673 individuals aged 45-65 years, with an oversampling of individuals with overweight or obesity. At baseline, data on demography, lifestyle, and medical history have been collected by questionnaires. In addition, samples of 24-h urine, fasting and postprandial blood plasma and serum, and DNA were collected. Participants underwent an extensive physical examination, including anthropometry, electrocardiography, spirometry, and measurement of the carotid artery intima-media thickness by ultrasonography. In random subsamples of participants, magnetic resonance imaging of abdominal fat, pulse wave velocity of the aorta, heart, and brain, magnetic resonance spectroscopy of the liver, indirect calorimetry, dual-energy X-ray absorptiometry, or accelerometry measurements were performed. The collection of data started in September 2008 and completed at the end of September 2012. Participants are followed for the incidence of obesity-related diseases and mortality. The NEO study investigates pathways that lead to obesity-related diseases. A better understanding of the mechanisms underlying the development of disease in obesity may help to identify individuals who are susceptible to the detrimental metabolic, cardiovascular and other consequences of obesity and has implications for the development of prevention and treatment strategies.

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Year:  2013        PMID: 23576214     DOI: 10.1007/s10654-013-9801-3

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  39 in total

Review 1.  Epidemiological research on peripheral vascular disease.

Authors:  F G Fowkes
Journal:  J Clin Epidemiol       Date:  2001-09       Impact factor: 6.437

2.  Intra-national variation in trends in overweight and leisure time physical activities in The Netherlands since 1980: stratification according to sex, age and urbanisation degree.

Authors:  G C M Gast; G-C M Gast; F J M Frenken; L A T M van Leest; G C W Wendel-Vos; W J E Bemelmans
Journal:  Int J Obes (Lond)       Date:  2006-07-04       Impact factor: 5.095

3.  Evaluation of immobility time for sleep latency in actigraphy.

Authors:  Kyu Young Chae; Daniel F Kripke; J Steven Poceta; Farhad Shadan; Shazia M Jamil; John W Cronin; Lawrence E Kline
Journal:  Sleep Med       Date:  2008-12-21       Impact factor: 3.492

4.  Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study.

Authors:  Salim Yusuf; Steven Hawken; Stephanie Ounpuu; Leonelo Bautista; Maria Grazia Franzosi; Patrick Commerford; Chim C Lang; Zvonko Rumboldt; Churchill L Onen; Liu Lisheng; Supachai Tanomsup; Paul Wangai; Fahad Razak; Arya M Sharma; Sonia S Anand
Journal:  Lancet       Date:  2005-11-05       Impact factor: 79.321

5.  Epidemiology of ischemic stroke subtypes according to TOAST criteria: incidence, recurrence, and long-term survival in ischemic stroke subtypes: a population-based study.

Authors:  P L Kolominsky-Rabas; M Weber; O Gefeller; B Neundoerfer; P U Heuschmann
Journal:  Stroke       Date:  2001-12-01       Impact factor: 7.914

6.  Forecasting the effects of obesity and smoking on U.S. life expectancy.

Authors:  Susan T Stewart; David M Cutler; Allison B Rosen
Journal:  N Engl J Med       Date:  2009-12-03       Impact factor: 91.245

7.  A new method for measuring daytime sleepiness: the Epworth sleepiness scale.

Authors:  M W Johns
Journal:  Sleep       Date:  1991-12       Impact factor: 5.849

Review 8.  Estimation of energy expenditure, net carbohydrate utilization, and net fat oxidation and synthesis by indirect calorimetry: evaluation of errors with special reference to the detailed composition of fuels.

Authors:  G Livesey; M Elia
Journal:  Am J Clin Nutr       Date:  1988-04       Impact factor: 7.045

9.  Pioglitazone improves cardiac function and alters myocardial substrate metabolism without affecting cardiac triglyceride accumulation and high-energy phosphate metabolism in patients with well-controlled type 2 diabetes mellitus.

Authors:  Rutger W van der Meer; Luuk J Rijzewijk; Hugo W A M de Jong; Hildo J Lamb; Mark Lubberink; Johannes A Romijn; Jeroen J Bax; Albert de Roos; Otto Kamp; Walter J Paulus; Robert J Heine; Adriaan A Lammertsma; Johannes W A Smit; Michaela Diamant
Journal:  Circulation       Date:  2009-04-06       Impact factor: 29.690

10.  Body mass index, waist circumference, and waist-hip ratio on the risk of total and type-specific stroke.

Authors:  Gang Hu; Jaakko Tuomilehto; Karri Silventoinen; Cinzia Sarti; Satu Männistö; Pekka Jousilahti
Journal:  Arch Intern Med       Date:  2007-07-09
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  59 in total

1.  The Rotterdam Study: 2016 objectives and design update.

Authors:  Albert Hofman; Guy G O Brusselle; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; M Arfan Ikram; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Ch Stricker; Henning W Tiemeier; André G Uitterlinden; Meike W Vernooij
Journal:  Eur J Epidemiol       Date:  2015-09-19       Impact factor: 8.082

2.  MR imaging of the brain in large cohort studies: feasibility report of the population- and patient-based BiDirect study.

Authors:  Anja Teuber; Benedikt Sundermann; Harald Kugel; Wolfram Schwindt; Walter Heindel; Jens Minnerup; Udo Dannlowski; Klaus Berger; Heike Wersching
Journal:  Eur Radiol       Date:  2016-04-08       Impact factor: 5.315

3.  Genetic variation in the obesity gene FTO is not associated with decreased fat oxidation: the NEO study.

Authors:  L L Blauw; R Noordam; S Trompet; J F P Berbée; F R Rosendaal; D van Heemst; K W van Dijk; D O Mook-Kanamori; R de Mutsert; P C N Rensen
Journal:  Int J Obes (Lond)       Date:  2017-06-19       Impact factor: 5.095

4.  Fatty acid intake and its dietary sources in relation with markers of type 2 diabetes risk: The NEO study.

Authors:  A J Wanders; M Alssema; E J P de Koning; S le Cessie; J H de Vries; P L Zock; F R Rosendaal; M den Heijer; R de Mutsert
Journal:  Eur J Clin Nutr       Date:  2016-11-09       Impact factor: 4.016

Review 5.  Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis.

Authors:  Takeshi Yokoo; Suraj D Serai; Ali Pirasteh; Mustafa R Bashir; Gavin Hamilton; Diego Hernando; Houchun H Hu; Holger Hetterich; Jens-Peter Kühn; Guido M Kukuk; Rohit Loomba; Michael S Middleton; Nancy A Obuchowski; Ji Soo Song; An Tang; Xinhuai Wu; Scott B Reeder; Claude B Sirlin
Journal:  Radiology       Date:  2017-09-11       Impact factor: 11.105

6.  Mendelian randomization reveals unexpected effects of CETP on the lipoprotein profile.

Authors:  Lisanne L Blauw; Raymond Noordam; Sebastian Soidinsalo; C Alexander Blauw; Ruifang Li-Gao; Renée de Mutsert; Jimmy F P Berbée; Yanan Wang; Diana van Heemst; Frits R Rosendaal; J Wouter Jukema; Dennis O Mook-Kanamori; Peter Würtz; Ko Willems van Dijk; Patrick C N Rensen
Journal:  Eur J Hum Genet       Date:  2018-11-12       Impact factor: 4.246

7.  Associations of Outdoor Temperature, Bright Sunlight, and Cardiometabolic Traits in Two European Population-Based Cohorts.

Authors:  Raymond Noordam; Ashna Ramkisoensing; Nellie Y Loh; Matt J Neville; Frits R Rosendaal; Ko Willems van Dijk; Diana van Heemst; Fredrik Karpe; Constantinos Christodoulides; Sander Kooijman
Journal:  J Clin Endocrinol Metab       Date:  2019-07-01       Impact factor: 5.958

Review 8.  Avoiding selection bias in metabolomics studies: a tutorial.

Authors:  S C Boone; S le Cessie; K Willems van Dijk; R de Mutsert; D O Mook-Kanamori
Journal:  Metabolomics       Date:  2019-01-03       Impact factor: 4.290

9.  Integration of epidemiologic, pharmacologic, genetic and gut microbiome data in a drug-metabolite atlas.

Authors:  Jun Liu; Lies Lahousse; Michel G Nivard; Mariska Bot; Lianmin Chen; Jan Bert van Klinken; Carisha S Thesing; Marian Beekman; Erik Ben van den Akker; Roderick C Slieker; Eveline Waterham; Carla J H van der Kallen; Irene de Boer; Ruifang Li-Gao; Dina Vojinovic; Najaf Amin; Djawad Radjabzadeh; Robert Kraaij; Louise J M Alferink; Sarwa Darwish Murad; André G Uitterlinden; Gonneke Willemsen; Rene Pool; Yuri Milaneschi; Diana van Heemst; H Eka D Suchiman; Femke Rutters; Petra J M Elders; Joline W J Beulens; Amber A W A van der Heijden; Marleen M J van Greevenbroek; Ilja C W Arts; Gerrit L J Onderwater; Arn M J M van den Maagdenberg; Dennis O Mook-Kanamori; Thomas Hankemeier; Gisela M Terwindt; Coen D A Stehouwer; Johanna M Geleijnse; Leen M 't Hart; P Eline Slagboom; Ko Willems van Dijk; Alexandra Zhernakova; Jingyuan Fu; Brenda W J H Penninx; Dorret I Boomsma; Ayşe Demirkan; Bruno H C Stricker; Cornelia M van Duijn
Journal:  Nat Med       Date:  2020-01-13       Impact factor: 53.440

10.  Objectively Measured Physical Activity and Body Fatness: Associations with Total Body Fat, Visceral Fat, and Liver Fat.

Authors:  Esther Winters-VAN Eekelen; Jeroen H P M VAN DER Velde; Sebastiaan C Boone; Kate Westgate; Søren Brage; Hildo J Lamb; Frits R Rosendaal; Renée DE Mutsert
Journal:  Med Sci Sports Exerc       Date:  2021-11-01       Impact factor: 5.411

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