The Netherlands epidemiology of obesity (NEO) study: Study design and data collection

European Journal of Epidemiology

Volumn 28, Issue 6, 2013, Pages 513-523

  De Mutsert, Renée ^a   Den Heijer, Martin ^a,b   Rabelink, Ton Johannes ^c   Smit, Johannes Willem Adriaan ^c   Romijn, Johannes Anthonius ^c   Jukema, Johan Wouter ^c   De Roos, Albert ^c   Cobbaert, Christa Maria ^c   Kloppenburg, Margreet ^a,c   Le Cessie, Saskia ^a,c   Middeldorp, Saskia ^a   Rosendaal, Frits Richard ^a,c  

^a LEIDEN UNIVERSITY   (Netherlands)

^b VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^c LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Cardiovascular disease; Cohort; Diabetes; Epidemiology; Obesity; Study design

Indexed keywords

GENOMIC DNA; GLUCOSE;

ABDOMINAL FAT; ACCELEROMETRY; ADULT; AGED; ARTERIAL WALL THICKNESS; ARTICLE; BRAIN RADIOGRAPHY; CALORIMETRY; COHORT ANALYSIS; DEMOGRAPHY; DIET RESTRICTION; DNA DETERMINATION; DUAL ENERGY X RAY ABSORPTIOMETRY; ECHOGRAPHY; ELECTROCARDIOGRAPHY; FEMALE; GLUCOSE BLOOD LEVEL; HUMAN; INFORMATION PROCESSING; LIFESTYLE; LIVER EXAMINATION; MALE; MEDICAL HISTORY; MORTALITY; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; OBESITY; PHYSICAL EXAMINATION; POSTPRANDIAL STATE; PROSPECTIVE STUDY; PULSE WAVE; QUESTIONNAIRE; RADIOCARDIOGRAPHY; SERUM; SPIROMETRY; STUDY DESIGN;

AGED; ANTHROPOMETRY; CARDIOVASCULAR DISEASES; DATA COLLECTION; DIABETES MELLITUS, TYPE 2; FEMALE; HUMANS; LIFE STYLE; MALE; METABOLIC SYNDROME X; MIDDLE AGED; NETHERLANDS; OBESITY; PHENOTYPE; POPULATION SURVEILLANCE; PROSPECTIVE STUDIES; QUESTIONNAIRES;

EID: 84879842291     PISSN: 03932990     EISSN: 15737284     Source Type: Journal    
DOI: 10.1007/s10654-013-9801-3     Document Type: Article

References (51)

1. WHO: Obesity and overweight. In: Fact sheet No 311. http://www.who.int/ mediacentre/factsheets/fs311/en/ (2012). Accessed 1 Nov 2012.
2. Nationaal Kompas Volksgezondheid: http://www.nationaalkompas.nl/ gezondheidsdeterminanten/persoonsgebonden/lichaamsgewicht/trend/ (2012). Accessed 1 Nov 2012.
3. International Obesity TaskForce Prevalence Data: http://www.iaso.org/ iotf/obesity/ (2010). Accessed 1 Nov 2012.
4. Visscher TL, Kromhout D, Seidell JC. Long-term and recent time trends in the prevalence of obesity among Dutch men and women. Int J Obes Relat Metab Disord. 2002;26:1218-24.
5. Gast GC, Frenken FJ, van Leest LA, Wendel-Vos GC, Bemelmans WJ. 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. Int J Obes (Lond). 2007;31:515-20.
6. Flegal KM, Carroll MD, Ogden CL, Curtin LR. Prevalence and trends in obesity among US adults, 1999-2008. JAMA. 2010;303:235-41.
7. James WPT, Jackson-Leach R, Mhurchu CN, Kalamara E, Shayeghi M, Rigby NJ, Nishida C, and Rodgers A: Overweight and obesity (high body mass index). In: Ezzati M, Lopez AD Rodgers A Murray CJL, editors. Comparative quantification of health risks: Global and regional burden of disease attributable to selected major risk factors. Geneva: World Health Organization; 2004. pp 497-596.
8. WHO Technical Report Series 894. Obesity: preventing and managing the global epidemic. Report of a WHO Consultation. Geneva: World Health Organization; 1999.
9. Vogelzangs N, Kritchevsky SB, Beekman AT, Brenes GA, Newman AB, Satterfield S, Yaffe K, Harris TB, Penninx BW. Obesity and onset of significant depressive symptoms: results from a prospective community-based cohort study of older men and women. J Clin Psychiatry. 2010;71:391-9.
10. Simon GE, Von KM, Saunders K, Miglioretti DL, Crane PK, van BG, Kessler RC. Association between obesity and psychiatric disorders in the US adult population. Arch Gen Psychiatry. 2006;63:824-30.
11. Stewart ST, Cutler DM, Rosen AB. Forecasting the effects of obesity and smoking on U.S. life expectancy. N Engl J Med. 2009;361:2252-60.
12. http://www.rivm.nl/nldemaat. Accessed 20 March 2013
13. Verkleij-Hagoort AC, De Vries JH, Stegers MP, Lindemans J, Ursem NT, Steegers-Theunissen RP. Validation of the assessment of folate and vitamin B12 intake in women of reproductive age: the method of triads. Eur J Clin Nutr. 2007;61:610-5.
14. Wendel-Vos GC, Schuit AJ, Saris WH, Kromhout D. Reproducibility and relative validity of the short questionnaire to assess health-enhancing physical activity. J Clin Epidemiol. 2003;56:1163-9.
15. de Hollander EL, Zwart L, de Vries SI, Wendel-Vos W. The SQUASH was a more valid tool than the OBiN for categorizing adults according to the Dutch physical activity and the combined guideline. J Clin Epidemiol. 2012;65:73-81.
16. Roos EM, Roos HP, Lohmander LS, Ekdahl C, Beynnon BD. Knee injury and osteoarthritis outcome score (KOOS)-development of a self-administered outcome measure. J Orthop Sports Phys Ther. 1998;28:88-96.
17. de G, I, Favejee MM, Reijman M, Verhaar JA, Terwee CB: The Dutch version of the knee injury and osteoarthritis outcome score: a validation study. Health Qual Life Outcomes 2008;6:16.
18. Bellamy N, Campbell J, Haraoui B, Gerecz-Simon E, Buchbinder R, Hobby K, MacDermid JC. Clinimetric properties of the AUSCAN osteoarthritis hand index: an evaluation of reliability, validity and responsiveness. Osteoarthritis Cartilage. 2002;10:863-9.
19. Bellamy N, Campbell J, Haraoui B, Buchbinder R, Hobby K, Roth JH, MacDermid JC. Dimensionality and clinical importance of pain and disability in hand osteoarthritis: development of the Australian/Canadian (AUSCAN) Osteoarthritis Hand Index. Osteoarthritis Cartilage. 2002;10:855-62.
20. Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991;14:540-5.
21. Buysse DJ, Reynolds CF III, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28:193-213.
22. Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP. Using the Berlin questionnaire to identify patients at risk for the sleep apnea syndrome. Ann Intern Med. 1999;131:485-91.
23. Rush AJ, Gullion CM, Basco MR, Jarrett RB, Trivedi MH. The inventory of depressive symptomatology (IDS): psychometric properties. Psychol Med. 1996;26:477-86.
24. Beck AT, Epstein N, Brown G, Steer RA. An inventory for measuring clinical anxiety: psychometric properties. J Consult Clin Psychol. 1988;56:893-7.
25. Fydrich T, Dowdall D, Chambless DL: Reliability and validity of the beck anxiety inventory. J Anxiety Disorders 1992;55-61.
26. Brugha TS, Cragg D. The list of threatening experiences: the reliability and validity of a brief life events questionnaire. Acta Psychiatr Scand. 1990;82:77-81.
27. McHorney CA, Ware JE Jr, Lu JF, Sherbourne CD. The MOS 36-item short-form health survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care. 1994;32:40-66.
28. McHorney CA, Ware JE Jr, Raczek AE. The MOS 36-item short-form health survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Med Care. 1993;31:247-63.
29. Ware JE Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30:473-83.
30. Fraser CG. Biological variation: from principles to practice. Washington, DC: AACC Press; 2001.
31. van der Meer RW, Rijzewijk LJ, de Jong HW, Lamb HJ, Lubberink M, Romijn JA, Bax JJ, de RA, Kamp O, Paulus WJ, Heine RJ, Lammertsma AA, Smit JW, Diamant M: 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. Circulation 2009;119:2069-77.
32. Livesey G, Elia M. 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. Am J Clin Nutr. 1988;47:608-28.
33. Schousboe JT, Wilson KE, Hangartner TN. Detection of aortic calcification during vertebral fracture assessment (VFA) compared to digital radiography. PLoS ONE. 2007;. doi: 10.1371/journal.pone.0000715.
34. Brage S, Brage N, Franks PW, Ekelund U, Wong MY, Andersen LB, Froberg K, Wareham NJ. Branched equation modeling of simultaneous accelerometry and heart rate monitoring improves estimate of directly measured physical activity energy expenditure. J Appl Physiol. 2004;96:343-51.
35. Brage S, Brage N, Franks PW, Ekelund U, Wareham NJ. Reliability and validity of the combined heart rate and movement sensor Actiheart. Eur J Clin Nutr. 2005;59:561-70.
36. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation 1996;93:1043-65.
37. Chae KY, Kripke DF, Poceta JS, Shadan F, Jamil SM, Cronin JW, Kline LE. Evaluation of immobility time for sleep latency in actigraphy. Sleep Med. 2009;10:621-5.
38. WHO Collaboration Centre for Drug Statistics Methodology. Anatomical Therapeutic Chemical classification system. http://www.whocc.no/atc/ (2012). Accessed 1 Nov 2012.
39. Wonca International Classification Committee. The international classification of primary care. http://www.ph3c.org/4daction/w3-CatVisu/en/icpc. html?wCatIDAdmin=1106 (2012). Accessed 1 Nov 2012.
40. Vaartjes I, van Dis I, Visseren FLJ, Bots ML. Incidentie en prevalentie van hart- en vaatziekten in Nederland. In: Vaartjes I, van Dis I, Visseren FLJ, Bots ML, editors. Hart- en vaatziekten in Nederland 2010, cijfers over leefstijl- en risicofactoren, ziekte en sterfte. Den Haag: Nederlandse Hartstichting; 2010. p. 29-52.
41. Kolominsky-Rabas PL, Weber M, Gefeller O, Neundoerfer B, Heuschmann PU. Epidemiology of ischemic stroke subtypes according to TOAST criteria: incidence, recurrence, and long-term survival in ischemic stroke subtypes: a population-based study. Stroke. 2001;32:2735-40.
42. Fowkes FG. Epidemiological research on peripheral vascular disease. J Clin Epidemiol. 2001;54:863-8.
43. Felson DT, Zhang Y, Hannan MT, Naimark A, Weissman B, Aliabadi P, Levy D. Risk factors for incident radiographic knee osteoarthritis in the elderly: the Framingham Study. Arthritis Rheum. 1997;40:728-33.
44. Murphy JM, Olivier DC, Monson RR, Sobol AM, Leighton AH. Incidence of depression and anxiety: the Stirling County Study. Am J Public Health. 1988;78:534-40.
45. Yusuf S, Hawken S, Ounpuu S, Bautista L, Franzosi MG, Commerford P, Lang CC, Rumboldt Z, Onen CL, Lisheng L, Tanomsup S, Wangai P Jr, Razak F, Sharma AM, Anand SS. Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study. Lancet. 2005;366:1640-9.
46. Hu G, Tuomilehto J, Silventoinen K, Sarti C, Mannisto S, Jousilahti P. Body mass index, waist circumference, and waist-hip ratio on the risk of total and type-specific stroke. Arch Intern Med. 2007;167:1420-7.
47. Nystad W, Meyer HE, Nafstad P, Tverdal A, Engeland A. Body mass index in relation to adult asthma among 135,000 Norwegian men and women. Am J Epidemiol. 2004;160:969-76.
48. Meisinger C, Doring A, Thorand B, Heier M, Lowel H. Body fat distribution and risk of type 2 diabetes in the general population: are there differences between men and women? The MONICA/KORA Augsburg cohort study. Am J Clin Nutr. 2006;84:483-9.
49. http://www.nationaalkompas.nl/gezondheid-en-ziekte/ziekten-en- aandoeningen/endocriene-voedings-en-stofwisselingsziekten-en- immuniteitsstoornissen/diabetes-mellitus/prevalentie-en-incidentie-naar- leeftijd-en-geslacht. Accessed 20 March 2013
50. Donders AR, van der Heijden GJ, Stijnen T, Moons KG. Review: a gentle introduction to imputation of missing values. J Clin Epidemiol. 2006;59:1087-91.
51. Shoukri MM, Asyali MH, Donner A. Sample size requirements for the design of reliability study: review and new results. Stat Methods Med Res. 2004;13:251-71.