Skip to main content

Advertisement

Log in

The Rotterdam Study: 2014 objectives and design update

  • STUDY UPDATE
  • Published:
European Journal of Epidemiology Aims and scope Submit manuscript

Abstract

The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, oncological, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over a 1,000 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Oeppen J, Vaupel JW. Demography. Broken limits to life expectancy. Science. 2002;296(5570):1029–31.

    PubMed  CAS  Google Scholar 

  2. Peto R, Doll R. There is no such thing as aging. BMJ. 1997;315(7115):1030–2.

    PubMed  CAS  Google Scholar 

  3. Hofman A, Grobbee DE, de Jong PT, van den Ouweland FA. Determinants of disease and disability in the elderly: the Rotterdam Elderly Study. Eur J Epidemiol. 1991;7(4):403–22.

    PubMed  CAS  Google Scholar 

  4. Hofman A, Breteler MM, van Duijn CM, Krestin GP, Pols HA, Stricker BH, et al. The Rotterdam Study: objectives and design update. Eur J Epidemiol. 2007;22(11):819–29.

    PubMed  Google Scholar 

  5. Hofman A, Breteler MM, van Duijn CM, Janssen HL, Krestin GP, Kuipers EJ, et al. The Rotterdam Study: 2010 objectives and design update. Eur J Epidemiol. 2009;24(9):553–72.

    PubMed  Google Scholar 

  6. Hofman A, van Duijn CM, Franco OH, Ikram MA, Janssen HLA, Klaver CCW, et al. The Rotterdam Study: 2012 objectives and design update. Eur J Epidemiol. 2011;26(8):657–86.

    PubMed  Google Scholar 

  7. Almqvist C, Adami HO, Franks PW, Groop L, Ingelsson E, Kere J, et al. LifeGene-a large prospective population-based study of global relevance. Eur J Epidemiol. 2011;26(1):67–77.

    PubMed  Google Scholar 

  8. Puddu PE, Menotti A, Tolonen H, Nedeljkovic S, Kafatos AG. Determinants of 40-year all-cause mortality in the European cohorts of the Seven Countries Study. Eur J Epidemiol. 2011;26(8):595–608.

    PubMed  Google Scholar 

  9. Tong SL, Neale RE, Shen XM, Olsen J. Challenges for epidemiologic research on the verge of a new era. Eur J Epidemiol. 2011;26(9):689–94.

    PubMed  Google Scholar 

  10. Mackenbach JP, Slobbe L, Looman CWN, van der Heide A, Polder J, Garssen J. Sharp upturn of life expectancy in the Netherlands: effect of more health care for the elderly? Eur J Epidemiol. 2011;26(12):903–14.

    PubMed  Google Scholar 

  11. Janszky I, Bjorngaard JH, Romundstad P, Vatten L. A novel approach to quantify random error explicitly in epidemiological studies. Eur J Epidemiol. 2011;26(12):899–902.

    PubMed  Google Scholar 

  12. Peters T, Brage S, Westgate K, Franks PW, Gradmark A, Diaz MJT, et al. Validity of a short questionnaire to assess physical activity in 10 European countries. Eur J Epidemiol. 2012;27(1):15–25.

    Google Scholar 

  13. Modig K, Drefahl S, Andersson T, Ahlbom A. The aging population in Sweden: can declining incidence rates in MI, stroke and cancer counterbalance the future demographic challenges? Eur J Epidemiol. 2012;27(2):139–45.

    PubMed  Google Scholar 

  14. Leening MJG, Kavousi M, Heeringa J, van Rooij FJA, Verkroost-van Heemst J, Deckers JW, et al. Methods of data collection and definitions of cardiac outcomes in the Rotterdam Study. Eur J Epidemiol. 2012;27(3):173–85.

    PubMed  Google Scholar 

  15. Eriksson AK, Ekbom A, Hilding A, Ostenson CG. The influence of non-response in a population-based cohort study on type 2 diabetes evaluated by the Swedish Prescribed Drug Register. Eur J Epidemiol. 2012;27(3):153–62.

    PubMed  Google Scholar 

  16. Svensson M, Svensson T, Hansen AW, Lagerros YT. The effect of reminders in a web-based intervention study. Eur J Epidemiol. 2012;27(5):333–40.

    PubMed  Google Scholar 

  17. Vernooij MW. Minimally invasive autopsy: the technological revival of autopsy? Eur J Epidemiol. 2012;27(7):487–8.

    PubMed  Google Scholar 

  18. Jaddoe VWV, van Duijn CM, Franco OH, van der Heijden AJ, van Iizendoorn MH, de Jongste JC, et al. The Generation R Study: design and cohort update 2012. Eur J Epidemiol. 2012;27(9):739–56.

    PubMed  Google Scholar 

  19. Larsen SB, Dalton SO, Schuz J, Christensen J, Overvad K, Tjonneland A, et al. Mortality among participants and non-participants in a prospective cohort study. Eur J Epidemiol. 2012;27(11):837–45.

    PubMed  Google Scholar 

  20. de Torbal A, Boersma E, Kors JA, van Herpen G, Deckers JW, van der Kuip DA, et al. Incidence of recognized and unrecognized myocardial infarction in men and women aged 55 and older: the Rotterdam Study. Eur Heart J. 2006;27(6):729–36.

    PubMed  Google Scholar 

  21. Leening MJG, Elias-Smale SE, Felix JF, Kors JA, Deckers JW, Hofman A, et al. Unrecognised myocardial infarction and long-term risk of heart failure in the elderly: the Rotterdam Study. Heart. 2010;96(18):1458–62.

    PubMed  Google Scholar 

  22. Krijthe BP, Leening MJG, Heeringa J, Kors JA, Hofman A, Franco OH, et al. Unrecognized myocardial infarction and risk of atrial fibrillation: the Rotterdam Study. Int J Cardiol. 2013;168(2):1453–7.

    PubMed  Google Scholar 

  23. Bleumink GS, Knetsch AM, Sturkenboom MC, Straus SM, Hofman A, Deckers JW, et al. Quantifying the heart failure epidemic: prevalence, incidence rate, lifetime risk and prognosis of heart failure the Rotterdam Study. Eur Heart J. 2004;25(18):1614–9.

    PubMed  Google Scholar 

  24. Heeringa J, van der Kuip DA, Hofman A, Kors JA, van Herpen G, Stricker BH, et al. Prevalence, incidence and lifetime risk of atrial fibrillation: the Rotterdam study. Eur Heart J. 2006;27(8):949–53.

    PubMed  Google Scholar 

  25. Krijthe BP, Kunst A, Benjamin EJ, Lip GY, Franco OH, Hofman A, et al. Projections on the number of individuals with atrial fibrillation in the European Union, from 2000 to 2060. Eur Heart J. 2013;34(35):2746–5122.

    PubMed  Google Scholar 

  26. van Vark LC, Kardys I, Bleumink GS, Knetsch AM, Deckers JW, Hofman A, et al. Lipoprotein-associated phospholipase A2 activity and risk of heart failure: the Rotterdam study. Eur Heart J. 2006;27(19):2346–52.

    PubMed  Google Scholar 

  27. Nanchen D, Leening MJG, Locatelli I, Cornuz J, Kors JA, Heeringa J, et al. Resting heart rate and the risk of heart failure in healthy adults: the Rotterdam Study. Circ Heart Fail. 2013;6(3):403–10.

    PubMed  CAS  Google Scholar 

  28. Heeringa J, van der Kuip DAM, Hofman A, Kors JA, van Rooij FJA, Lip GY, et al. Subclinical atherosclerosis and risk of atrial fibrillation: the Rotterdam Study. Arch Intern Med. 2007;167(4):382–7.

    PubMed  Google Scholar 

  29. Heeringa J, Hoogendoorn EH, van der Deure WM, Hofman A, Peeters RP, Hop WC, et al. High-normal thyroid function and risk of atrial fibrillation: the Rotterdam Study. Arch Intern Med. 2008;168(20):2219–24.

    PubMed  Google Scholar 

  30. Krijthe BP, de Jong FH, Hofman A, Franco OH, Witteman JCM, Stricker BHCh, et al. Dehydroepiandrosterone sulfate levels and risk of atrial fibrillation: the Rotterdam Study. Eur J Prev Cardiol. 2012;epub ahead of print.

  31. Alonso A, Krijthe BP, Aspelund T, Stepas KA, Pencina MJ, Moser CB, et al. Simple risk model predicts incidence of atrial fibrillation in a racially and geographically diverse population: the CHARGE-AF consortium. J Am Heart Assoc. 2013;2(2):e000102.

    Google Scholar 

  32. Vasan RS, Glazer NL, Felix JF, Lieb W, Wild PS, Felix SB, et al. Genetic variants associated with cardiac structure and function: a meta-analysis and replication of genome-wide association data. JAMA. 2009;302(2):168–78.

    PubMed  CAS  Google Scholar 

  33. Pfeufer A, van Noord C, Marciante KD, Arking DE, Larson MG, Smith AV, et al. Genome-wide association study of PR interval. Nat Genet. 2010;42(2):153–9.

    PubMed  CAS  Google Scholar 

  34. den Hoed M, Eijgelsheim M, Esko T, Brundel BJ, Peal DS, Evans DM, et al. Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders. Nat Genet. 2013;45(6):621–31.

    Google Scholar 

  35. Benjamin EJ, Rice KM, Arking DE, Pfeufer A, van Noord C, Smith AV, et al. Variants in ZFHX3 are associated with atrial fibrillation in individuals of European ancestry. Nat Genet. 2009;41(8):879–81.

    PubMed  CAS  Google Scholar 

  36. Ellinor PT, Lunetta KL, Albert CM, Glazer NL, Ritchie MD, Smith AV, et al. Meta-analysis identifies six new susceptibility loci for atrial fibrillation. Nat Genet. 2012;44(6):670–5.

    PubMed  CAS  Google Scholar 

  37. Hak AE, Pols HAP, Visser TJ, Drexhage HA, Hofman A, Witteman JCM. Subclinical hypothyroidism is an independent risk factor for atherosclerosis and myocardial infarction in elderly women: the Rotterdam Study. Ann Intern Med. 2000;132(4):270–8.

    PubMed  CAS  Google Scholar 

  38. Rutten JH, Mattace-Raso FU, Steyerberg EW, Lindemans J, Hofman A, Wieberdink RG, et al. Amino-terminal pro-B-type natriuretic peptide improves cardiovascular and cerebrovascular risk prediction in the population: the Rotterdam study. Hypertension. 2010;55(3):785–91.

    PubMed  CAS  Google Scholar 

  39. Kavousi M, Elias-Smale SE, Rutte JWH, Leening MJG, Vliegenthart R, Verwoert GC, et al. Evaluation of newer risk markers for coronary heart disease risk classification: a cohort study. Ann Intern Med. 2012;156(6):438–44.

    PubMed  Google Scholar 

  40. Kardys I, de Maat MP, Uitterlinden AG, Hofman A, Witteman JC. C-reactive protein gene haplotypes and risk of coronary heart disease: the Rotterdam Study. Eur Heart J. 2006;27(11):1331–7.

    PubMed  CAS  Google Scholar 

  41. Oei HH, van der Meer IM, Hofman A, Koudstaal PJ, Stijnen T, Breteler MMB, et al. Lipoprotein-associated phospholipase A2 activity is associated with risk of coronary heart disease and ischemic stroke: the Rotterdam Study. Circulation. 2005;111(5):570–5.

    PubMed  CAS  Google Scholar 

  42. van der Bom JG, de Knijff P, Haverkate F, Bots ML, Meijer P, de Jong PT, et al. Tissue plasminogen activator and risk of myocardial infarction. The Rotterdam Study. Circulation. 1997;95(12):2623–7.

    PubMed  Google Scholar 

  43. Koller MT, Leening MJG, Wolbers M, Steyerberg EW, Hunink MGM, Schoop R, et al. Development and validation of a coronary risk prediction model for older US and European persons in the Cardiovascular Health Study and the Rotterdam Study. Ann Intern Med. 2012;157(6):389–97.

    PubMed  Google Scholar 

  44. Bots ML, Hoes AW, Koudstaal PJ, Hofman A, Grobbee DE. Common carotid intima-media thickness and risk of stroke and myocardial infarction: the Rotterdam Study. Circulation. 1997;96(5):1432–7.

    PubMed  CAS  Google Scholar 

  45. Mattace-Raso FUS, van der Cammen TJ, Hofman A, van Popele NM, Bos ML, Schalekamp MA, et al. Arterial stiffness and risk of coronary heart disease and stroke: the Rotterdam Study. Circulation. 2006;113(5):657–63.

    PubMed  Google Scholar 

  46. Vliegenthart R, Oudkerk M, Hofman A, Oei HH, van Dijck W, van Rooij FJ, et al. Coronary calcification improves cardiovascular risk prediction in the elderly. Circulation. 2005;112(4):572–7.

    PubMed  Google Scholar 

  47. van der Meer IM, Bots ML, Hofman A, del Sol AI, van der Kuip DA, Witteman JC. Predictive value of noninvasive measures of atherosclerosis for incident myocardial infarction: the Rotterdam Study. Circulation. 2004;109(9):1089–94.

    PubMed  Google Scholar 

  48. Elias-Smale SE, Proenca RV, Koller MT, Kavousi M, van Rooij FJ, Hunink MG, et al. Coronary calcium score improves classification of coronary heart disease risk in the elderly: the Rotterdam study. J Am Coll Cardiol. 2010;56(17):1407–14.

    PubMed  Google Scholar 

  49. Elias-Smale SE, Wieberdink RG, Odink AE, Hofman A, Hunink MGM, Koudstaal PJ, et al. Burden of atherosclerosis improves the prediction of coronary heart disease but not cerebrovascular events: the Rotterdam Study. Eur Heart J. 2011;32(16):2050–8.

    PubMed  Google Scholar 

  50. Leening MJG, Elias-Smale SE, Kavousi M, Felix JF, Deckers JW, Vliegenthart R, et al. Coronary calcification and the risk of heart failure in the elderly: the Rotterdam Study. J Am Coll Cardiol Img. 2012;5(9):874–80.

    Google Scholar 

  51. Kardys I, Klaver CC, Despriet DD, Bergen AA, Uitterlinden AG, Hofman A, et al. A common polymorphism in the complement factor H gene is associated with increased risk of myocardial infarction: the Rotterdam Study. J Am Coll Cardiol. 2006;47(8):1568–75.

    PubMed  CAS  Google Scholar 

  52. Psaty BM, O’Donnell CJ, Gudnason V, Lunetta KL, Folsom AR, Rotter JI, et al. Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: design of prospective meta-analyses of genome-wide association studies from 5 cohorts. Circ Cardiovasc Genet. 2009;2(1):73–80.

    PubMed  Google Scholar 

  53. Psaty BM, Hofman A. Genome-wide association studies and large-scale collaborations in epidemiology. Eur J Epidemiol. 2010;25(8):525–9.

    PubMed  Google Scholar 

  54. Dehghan A, Kottgen A, Yang Q, Hwang SJ, Kao WL, Rivadeneira F, et al. Association of three genetic loci with uric acid concentration and risk of gout: a genome-wide association study. Lancet. 2008;372(9654):1953–61.

    PubMed  CAS  Google Scholar 

  55. Kottgen A, Glazer NL, Dehghan A, Hwang SJ, Katz R, Li M, et al. Multiple loci associated with indices of renal function and chronic kidney disease. Nat Genet. 2009;41(6):712–7.

    PubMed  CAS  Google Scholar 

  56. Levy D, Ehret GB, Rice K, Verwoert GC, Launer LJ, Dehghan A, et al. Genome-wide association study of blood pressure and hypertension. Nat Genet. 2009;41(6):677–87.

    PubMed  CAS  Google Scholar 

  57. Wain LV, Verwoert GC, O’Reilly PF, Shi G, Johnson T, Johnson AD, et al. Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure. Nat Genet. 2011;43(10):1005–11.

    PubMed  CAS  Google Scholar 

  58. Ehret GB, Munroe PB, Rice KM, Bochud M, Johnson AD, et al. International Consortium for Blood Pressure Genome-Wide Association S. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature. 20116;478(7367):103–9.

  59. Ganesh SK, Zakai NA, van Rooij FJ, Soranzo N, Smith AV, Nalls MA, et al. Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium. Nat Genet. 2009;41(11):1191–8.

    PubMed  CAS  Google Scholar 

  60. Dehghan A, Dupuis J, Barbalic M, Bis JC, Eiriksdottir G, Lu C, et al. Meta-analysis of genome-wide association studies in > 80,000 subjects identifies multiple loci for C-reactive protein levels. Circulation. 2011;123(7):731–8.

    PubMed  CAS  Google Scholar 

  61. Smith NL, Chen MH, Dehghan A, Strachan DP, Basu S, Soranzo N, et al. Novel associations of multiple genetic loci with plasma levels of factor VII, factor VIII, and von Willebrand factor: the CHARGE (Cohorts for Heart and Aging Research in Genome Epidemiology) Consortium. Circulation. 2010;121(12):1382–92.

    PubMed  CAS  Google Scholar 

  62. Bis JC, Kavousi M, Franceschini N, Isaacs A, Abecasis GR, Schminke U, et al. Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque. Nat Genet. 2011;43(10):940–7.

    PubMed  CAS  Google Scholar 

  63. O’Donnell CJ, Kavousi M, Smith AV, Kardia SL, Feitosa MF, Hwang SJ, et al. Genome-wide association study for coronary artery calcification with follow-up in myocardial infarction. Circulation. 2011;124(25):2855–64.

    PubMed  Google Scholar 

  64. Murabito JM, White CC, Kavousi M, Sun YV, Feitosa MF, Nambi V, et al. Association between chromosome 9p21 variants and the ankle-brachial index identified by a meta-analysis of 21 genome-wide association studies. Circ Cardiovasc Genet. 2012;5(1):100–12.

    PubMed  CAS  Google Scholar 

  65. Schunkert H, Konig IR, Kathiresan S, Reilly MP, Assimes TL, Holm H, et al. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease. Nat Genet. 2011;43(4):333–8.

    PubMed  CAS  Google Scholar 

  66. Consortium CAD, Deloukas P, Kanoni S, Willenborg C, Farrall M, Assimes TL, et al. Large-scale association analysis identifies new risk loci for coronary artery disease. Nat Genet. 2013;45(1):25–33.

    Google Scholar 

  67. Heine-Bröring RC, Brouwer IA, Proença RV, van Rooij FJA, Hofman A, Oudkerk M, et al. Intake of fish and marine n-3 fatty acids in relation to coronary calcification: the Rotterdam Study. Am J Clin Nutr. 2010;91(5):1317–23.

    PubMed  Google Scholar 

  68. van Woudenbergh GJ, Kuijsten A, Tigcheler B, Sijbrands EJ, van Rooij FJA, Hofman A, et al. Meat consumption and its association with C-reactive protein and incident type 2 diabetes: the Rotterdam Study. Diabetes Care. 2012;35(7):1499–505.

    PubMed  Google Scholar 

  69. Hofman A, van ‘t Veer P, et al. Dietary amino acids and the risk of hypertension in a Dutch older population: the Rotterdam Study. Am J Clin Nutr. 2013;97(2):403–10.

    Google Scholar 

  70. Engberink MF, Bakker SJ, Brink EJ, van Baak MA, van Rooij FJA, Hofman A, et al. Dietary acid load and risk of hypertension: the Rotterdam Study. Am J Clin Nutr. 2012;95(6):1438–44.

    PubMed  CAS  Google Scholar 

  71. Altorf-van der Kuil W, Engberink MF, van Rooij FJA, Hofman A, van ‘t Veer P, Witteman JCM, et al. Dietary protein and risk of hypertension in a Dutch older population: the Rotterdam study. J Hypertens. 2010;28(12):2394–400.

  72. Zillikens MC, van Meurs JB, Rivadeneira F, Hofman A, Oostra BA, Sijbrands EJ, et al. Interactions between dietary vitamin E intake and SIRT1 genetic variation influence body mass index. Am J Clin Nutr. 2010;91(5):1387–93.

    PubMed  CAS  Google Scholar 

  73. Hruby A, Ngwa JS, Renström F, Wojczynski MK, Ganna A, Hallmans G, et al. Higher magnesium intake is associated with lower fasting glucose and insulin, with no evidence of interaction with select genetic loci, in a meta-analysis of 15 CHARGE Consortium Studies. J Nutr. 2013;143(3):345–53.

    PubMed  CAS  Google Scholar 

  74. Nettleton JA, Hivert MF, Lemaitre RN, McKeown NM, Mozaffarian D, Tanaka T, et al. Meta-analysis investigating associations between healthy diet and fasting glucose and insulin levels and modification by loci associated with glucose homeostasis in data from 15 cohorts. Am J Epidemiol. 2013;177(2):103–15.

    PubMed  Google Scholar 

  75. Kanoni S, Nettleton JA, Hivert MF, Ye Z, van Rooij FJA, Shungin D, et al. Total zinc intake may modify the glucose-raising effect of a zinc transporter (SLC30A8) variant: a 14-cohort meta-analysis. Diabetes. 2011;60(9):2407–16.

    PubMed  CAS  Google Scholar 

  76. Dehghan A, Kardys I, de Maat MP, Uitterlinden AG, Sijbrands EJ, Bootsma AH, et al. Genetic variation, C-reactive protein levels, and incidence of diabetes. Diabetes. 2007;56(3):872–8.

    PubMed  CAS  Google Scholar 

  77. Straus SM, Kors JA, De Bruin ML, van der Hooft CS, Hofman A, Heeringa J, et al. Prolonged QTc interval and risk of sudden cardiac death in a population of older adults. J Am Coll Cardiol. 2006;47(2):362–7.

    PubMed  Google Scholar 

  78. Kardys I, Deckers JW, Stricker BH, Vletter WB, Hofman A, Witteman J. Distribution of echocardiographic parameters and their associations with cardiovascular risk factors in the Rotterdam Study. Eur J Epidemiol. 2010;25(7):481–90.

    PubMed  Google Scholar 

  79. Klipstein-Grobusch K, Den Breeijen JH, Goldbohm RA, Geleijnse JM, Hofman A, Grobbee DE, et al. Dietary assessment in the elderly: validation of a semiquantitative food frequency questionnaire. Eur J Clin Nutr. 1998;52(8):588–96.

    PubMed  CAS  Google Scholar 

  80. Goldbohm RA, Van den Brandt PA, Brants HA, Van’t Veer P, Al M, Sturmans F, et al. Validation of a dietary questionnaire used in a large-scale prospective cohort study on diet and cancer. Eur J Clin Nutr. 1994;48(4):253–65.

    PubMed  CAS  Google Scholar 

  81. Goldbohm RA, Van’t Veer P, Van den Brandt PA, Van’t Hof MA, Brants HA, Sturmans F. Reproducibility of a food frequency questionnaire and stability of dietary habits determined from five annually repeated measurements. Eur J Clin Nutr. 1995;49(6):420–9.

    PubMed  CAS  Google Scholar 

  82. Feunekes GI, Staveren WAV, Vries JHD, Burema J, Hautvast JG. Relative and biomarker-based validity of a food-frequency questionnaire estimating intake of fats and cholesterol. Am J Clin Nutr. 1993;58(4):489–96.

    PubMed  CAS  Google Scholar 

  83. Siebelink E, Geelen A, De Vries JHM. Self-reported energy intake by FFQ compared with actual energy intake to maintain body weight in 516 adults. Br J Nutr. 2011;106(02):274–81.

    PubMed  CAS  Google Scholar 

  84. Caspersen CJ, Bloemberg BP, Saris WH, Merritt RK, Kromhout D. The prevalence of selected physical activities and their relation with coronary heart disease risk factors in elderly men: the Zutphen Study, 1985. Am J Epidemiol. 1991;133(11):1078–92.

    PubMed  CAS  Google Scholar 

  85. Stel VS, Smit JH, Pluijm SM, Visser M, Deeg DJ, Lips P. Comparison of the LASA Physical Activity Questionnaire with a 7-day diary and pedometer. J Clin Epidemiol. 2004;57(3):252–8.

    PubMed  Google Scholar 

  86. Voorrips LE, Ravelli AC, Dongelmans PC, Deurenberg P, Van Staveren WA. A physical activity questionnaire for the elderly. Med Sci Sports Exerc. 1991;23(8):974–9.

    PubMed  CAS  Google Scholar 

  87. Engeland A, Bjorge T, Daltveit AK, Skurtveit S, Vangen S, Vollset SE, et al. Risk of diabetes after gestational diabetes and preeclampsia. A registry-based study of 230,000 women in Norway. Eur J Epidemiol. 2011;26(2):157–63.

    PubMed  Google Scholar 

  88. Joseph J, Svartberg J, Njolstad I, Schirmer H. Risk factors for type 2 diabetes in groups stratified according to metabolic syndrome: a 10-year follow-up of The Tromso Study. Eur J Epidemiol. 2011;26(2):117–24.

    PubMed  CAS  Google Scholar 

  89. Faramawi MF, Caffrey JL, Amanzadeh J, Sharpa LD, Qualls-Hampton R. Cystatin C estimated renal dysfunction predicts T wave axis deviation in US adults: results from NHANES III. Eur J Epidemiol. 2011;26(2):101–7.

    PubMed  CAS  Google Scholar 

  90. Autenrieth CS, Baumert J, Baumeister SE, Fischer B, Peters A, Doring A, et al. Association between domains of physical activity and all-cause, cardiovascular and cancer mortality. Eur J Epidemiol. 2011;26(2):91–9.

    PubMed  Google Scholar 

  91. Behrens G, Leitzmann MF, Sandin S, Lof M, Heid IM, Adami HO, et al. The association between alcohol consumption and mortality: the Swedish women’s lifestyle and health study. Eur J Epidemiol. 2011;26(2):81–90.

    PubMed  Google Scholar 

  92. Montonen J, Drogan D, Joost HG, Boeing H, Fritsche A, Schleicher E, et al. Estimation of the contribution of biomarkers of different metabolic pathways to risk of type 2 diabetes. Eur J Epidemiol. 2011;26(1):29–38.

    PubMed  CAS  Google Scholar 

  93. Honjo K, Iso H, Inoue M, Tsugane S. Adult height and the risk of cardiovascular disease among middle aged men and women in Japan. Eur J Epidemiol. 2011;26(1):13–21.

    PubMed  Google Scholar 

  94. Niedhammer I, Bourgkard E, Chau N, Lorhandicap Study G. Occupational and behavioural factors in the explanation of social inequalities in premature and total mortality: a 12.5-year follow-up in the Lorhandicap study. Eur J Epidemiol. 2011;26(1):1–12.

    PubMed  Google Scholar 

  95. Liu JH, Blair SN, Teng YP, Ness AR, Lawlor DA, Riddoch C. Physical activity during pregnancy in a prospective cohort of British women: results from the Avon longitudinal study of parents and children. Eur J Epidemiol. 2011;26(3):237–47.

    PubMed  Google Scholar 

  96. Tamakoshi A, Lin YS, Kawado M, Yagyu K, Kikuchi S, Iso H. Effect of coffee consumption on all-cause and total cancer mortality: findings from the JACC study. Eur J Epidemiol. 2011;26(4):285–93.

    PubMed  Google Scholar 

  97. Borne Y, Engstrom G, Essen B, Sundquist J, Hedblad B. Country of birth and risk of hospitalization due to heart failure: a Swedish population-based cohort study. Eur J Epidemiol. 2011;26(4):275–83.

    PubMed  Google Scholar 

  98. Grundtvig M, Hagen TP, Amrud ES, Reikvam A. Mortality after myocardial infarction: impact of gender and smoking status. Eur J Epidemiol. 2011;26(5):385–93.

    PubMed  Google Scholar 

  99. Voko Z, de Brouwer S, Lubsen J, Danchin N, Otterstad JE, Dunselman P, et al. Long-term impact of secondary preventive treatments in patients with stable angina. Eur J Epidemiol. 2011;26(5):375–83.

    PubMed  Google Scholar 

  100. Peeters A, Nusselder WJ, Stevenson C, Boyko EJ, Moon L, Tonkin A. Age-specific trends in cardiovascular mortality rates in the Netherlands between 1980 and 2009. Eur J Epidemiol. 2011;26(5):369–73.

    PubMed  Google Scholar 

  101. Berard E, Bongard V, Arveiler D, Amouyel P, Wagner A, Dallongeville J, et al. Ten-year risk of all-cause mortality: assessment of a risk prediction algorithm in a French general population. Eur J Epidemiol. 2011;26(5):359–68.

    PubMed  Google Scholar 

  102. Morkedal B, Romundstad PR, Vatten LJ. Informativeness of indices of blood pressure, obesity and serum lipids in relation to ischaemic heart disease mortality: the HUNT-II study. Eur J Epidemiol. 2011;26(6):457–61.

    PubMed  CAS  Google Scholar 

  103. Eryd SA, Smith JG, Melander O, Hedblad B, Engstrom G. Inflammation-sensitive proteins and risk of atrial fibrillation: a population-based cohort study. Eur J Epidemiol. 2011;26(6):449–55.

    Google Scholar 

  104. Hansen JL, Tolstrup JS, Jensen MK, Gronbaek M, Tjonneland A, Schmidt EB, et al. Alcohol intake and risk of acute coronary syndrome and mortality in men and women with and without hypertension. Eur J Epidemiol. 2011;26(6):439–47.

    Google Scholar 

  105. Fedorowski A, Hedblad B, Melander O. Early postural blood pressure response and cause-specific mortality among middle-aged adults. Eur J Epidemiol. 2011;26(7):537–46.

    PubMed  Google Scholar 

  106. Faeh D, Braun J, Tarnutzer S, Bopp M. Obesity but not overweight is associated with increased mortality risk. Eur J Epidemiol. 2011;26(8):647–55.

    PubMed  Google Scholar 

  107. Kowall B, Rathmann W, Heier M, Giani G, Peters A, Thorand B, et al. Categories of glucose tolerance and continuous glycemic measures and mortality. Eur J Epidemiol. 2011;26(8):637–45.

    PubMed  CAS  Google Scholar 

  108. Nicolotti N, Chuang SC, Cadoni G, Arzani D, Petrelli L, Bosetti C, et al. Recreational physical activity and risk of head and neck cancer: a pooled analysis within the international head and neck cancer epidemiology (INHANCE) Consortium. Eur J Epidemiol. 2011;26(8):619–28.

    PubMed  Google Scholar 

  109. Sonestedt E, Wirfalt E, Wallstrom P, Gullberg B, Orho-Melander M, Hedblad B. Dairy products and its association with incidence of cardiovascular disease: the Malmo diet and cancer cohort. Eur J Epidemiol. 2011;26(8):609–18.

    PubMed  CAS  Google Scholar 

  110. Jacobsen BK, Knutsen SF, Oda K, Fraser GE. Parity and total, ischemic heart disease and stroke mortality. The Adventist Health Study, 1976–1988. Eur J Epidemiol. 2011;26(9):711–8.

    PubMed  Google Scholar 

  111. Lagro J, Claassen J, Rikkert M. Early postural blood pressure response and cause-specific mortality among middle-aged adults: what is the role of diastolic blood pressure? Eur J Epidemiol. 2011;26(11):893–4.

    PubMed  Google Scholar 

  112. Empana JP, Bean K, Guibout C, Thomas F, Bingham A, Pannier B, et al. Paris Prospective Study III: a study of novel heart rate parameters, baroreflex sensitivity and risk of sudden death. Eur J Epidemiol. 2011;26(11):887–92.

    PubMed  Google Scholar 

  113. Bernstein AM, Rosner BA, Willett WC. Cereal fiber and coronary heart disease: a comparison of modeling approaches for repeated dietary measurements, intermediate outcomes, and long follow-up. Eur J Epidemiol. 2011;26(11):877–86.

    PubMed  CAS  Google Scholar 

  114. Lehto HR, Lehto S, Havulinna AS, Ketonen M, Lehtonen A, Kesaniemi YA, et al. Sex differences in short- and long-term case-fatality of myocardial infarction. Eur J Epidemiol. 2011;26(11):851–61.

    PubMed  Google Scholar 

  115. Costanzo S, Di Castelnuovo A, Donati MB, Iacoviello L, de Gaetano G. Wine, beer or spirit drinking in relation to fatal and non-fatal cardiovascular events: a meta-analysis. Eur J Epidemiol. 2011;26(11):833–50.

    PubMed  Google Scholar 

  116. Thelle DS. Case fatality of acute myocardial infarction: an emerging gender gap. Eur J Epidemiol. 2011;26(11):829–31.

    PubMed  Google Scholar 

  117. Marsh RW. Predicting cardiovascular events using three stage Discriminant Function is much more accurate than Framingham or QRISK. Eur J Epidemiol. 2011;26(12):915–8.

    PubMed  Google Scholar 

  118. Abbasi A, Corpeleijn E, Peelen LM, Gansevoort RT, de Jong PE, Gans ROB, et al. External validation of the KORA S4/F4 prediction models for the risk of developing type 2 diabetes in older adults: the PREVEND study. Eur J Epidemiol. 2012;27(1):47–52.

    PubMed  Google Scholar 

  119. Auger N, Harper S, Barry AD, Trempe N, Daniel M. Life expectancy gap between the Francophone majority and Anglophone minority of a Canadian population. Eur J Epidemiol. 2012;27(1):27–38.

    PubMed  Google Scholar 

  120. Iversen LB, Strandberg-Larsen K, Prescott E, Schnohr P, Rod NH. Psychosocial risk factors, weight changes and risk of obesity: the Copenhagen City Heart Study. Eur J Epidemiol. 2012;27(2):119–30.

    PubMed  Google Scholar 

  121. Vandenheede H, Deboosere P, Stirbu I, Agyemang CO, Harding S, Juel K, et al. Migrant mortality from diabetes mellitus across Europe: the importance of socio-economic change. Eur J Epidemiol. 2012;27(2):109–17.

    PubMed  Google Scholar 

  122. Petersen CB, Gronbaek M, Helge JW, Thygesen LC, Schnohr P, Tolstrup JS. Changes in physical activity in leisure time and the risk of myocardial infarction, ischemic heart disease, and all-cause mortality. Eur J Epidemiol. 2012;27(2):91–9.

    PubMed  Google Scholar 

  123. Kuhntopf S, Tivig T. Early retirement and mortality in Germany. Eur J Epidemiol. 2012;27(2):85–9.

    PubMed  Google Scholar 

  124. Claessen H, Brenner H, Drath C, Arndt V. Repeated measures of body mass index and risk of health related outcomes. Eur J Epidemiol. 2012;27(3):215–24.

    PubMed  Google Scholar 

  125. Juutilainen A, Kastarinen H, Antikainen R, Peltonen M, Salomaa V, Tuomilehto J, et al. Trends in estimated kidney function: the FINRISK surveys. Eur J Epidemiol. 2012;27(4):305–13.

    PubMed  CAS  Google Scholar 

  126. Demakakos P, Marmot M, Steptoe A. Socioeconomic position and the incidence of type 2 diabetes: the ELSA study. Eur J Epidemiol. 2012;27(5):367–78.

    PubMed  Google Scholar 

  127. Kramer HU, Muller H, Stegmaier C, Rothenbacher D, Raum E, Brenner H. Type 2 diabetes mellitus and gender-specific risk for colorectal neoplasia. Eur J Epidemiol. 2012;27(5):341–7.

    PubMed  Google Scholar 

  128. Cook NR, Cole SR, Buring JE. Aspirin in the primary prevention of cardiovascular disease in the Women’s Health Study: effect of noncompliance. Eur J Epidemiol. 2012;27(6):431–8.

    PubMed  CAS  Google Scholar 

  129. Park SY, Wilkens LR, Murphy SP, Monroe KR, Henderson BE, Kolonel LN. Body mass index and mortality in an ethnically diverse population: the Multiethnic Cohort Study. Eur J Epidemiol. 2012;27(7):489–97.

    PubMed  Google Scholar 

  130. Galli L, Salpietro S, Pellicciotta G, Galliani A, Piatti P, Hasson H, et al. Risk of type 2 diabetes among HIV-infected and healthy subjects in Italy. Eur J Epidemiol. 2012;27(8):657–65.

    PubMed  Google Scholar 

  131. van Oeffelen AAM, Agyemang C, Bots ML, Stronks K, Koopman C, van Rossem L, et al. The relation between socioeconomic status and short-term mortality after acute myocardial infarction persists in the elderly: results from a nationwide study. Eur J Epidemiol. 2012;27(8):605–13.

    PubMed  Google Scholar 

  132. Lissner L, Lanfer A, Gwozdz W, Olafsdottir S, Eiben G, Moreno LA, et al. Television habits in relation to overweight, diet and taste preferences in European children: the IDEFICS study. Eur J Epidemiol. 2012;27(9):705–15.

    PubMed  Google Scholar 

  133. Brinks R, Tamayo T, Kowall B, Rathmann W. Prevalence of type 2 diabetes in Germany in 2040: estimates from an epidemiological model. Eur J Epidemiol. 2012;27(10):791–7.

    PubMed  Google Scholar 

  134. Hansson J, Galanti MR, Hergens MP, Fredlund P, Ahlbom A, Alfredsson L, et al. Use of snus and acute myocardial infarction: pooled analysis of eight prospective observational studies. Eur J Epidemiol. 2012;27(10):771–9.

    PubMed  Google Scholar 

  135. Grau M, Sala C, Sala J, Masia R, Vila J, Subirana I, et al. Sex-related differences in prognosis after myocardial infarction: changes from 1978 to 2007. Eur J Epidemiol. 2012;27(11):847–55.

    PubMed  Google Scholar 

  136. Kiefte-de Jong JC, Chowdhury R, Franco OH. Fish intake or omega-3 fatty acids: greater than the sum of all parts? Eur J Epidemiol. 2012;27(12):891–4.

    PubMed  Google Scholar 

  137. Flohil SC, van der Leest RJ, Dowlatshahi EA, Hofman A, de Vries E, Nijsten T. Prevalence of actinic keratosis and its risk factors in the general population: the Rotterdam Study. J Invest Dermatol. 2013;133(8):1971–8.

    PubMed  CAS  Google Scholar 

  138. Kiiski V, de Vries E, Flohil SC, Bijl MJ, Hofman A, Stricker BH, et al. Risk factors for single and multiple basal cell carcinomas. Arch Dermatol. 2010;146(8):848–55.

    PubMed  Google Scholar 

  139. Jacobs LC, Wollstein A, Lao O, Hofman A, Klaver CC, Uitterlinden AG, et al. Comprehensive candidate gene study highlights UGT1A and BNC2as new genes determining continuous skin color variation in Europeans. Hum Genet. 2013;132(2):147–58.

    PubMed  CAS  Google Scholar 

  140. Dowlatshahi EA, Kavousi M, Nijsten T, Arfan Ikram M, Hofman A, Franco OH, et al. Psoriasis is not associated with atherosclerosis and incident cardiovascular events: the Rotterdam Study. J Invest Dermatol. 2013;133(10):2347–54.

    PubMed  CAS  Google Scholar 

  141. Oei L, Rivadeneira F, Ly F, Breda SJ, Zillikens MC, Hofman A, et al. Review of radiological scoring methods of osteoporotic vertebral fractures for clinical and research settings. Eur Radiol. 2013;23(2):476–86.

    PubMed  Google Scholar 

  142. Makurthou AA, Oei L, Saddy SE, Breda SJ, Castaño-Betancourt MC, Hofman A, et al. Scheuermann’s disease: evaluation of radiological criteria and population prevalence. Spine (Phila Pa 1976). 2013.

  143. Oei L, Zillikens MC, Dehghan A, Buitendijk GH, Castaño-Betancourt MC, Estrada K, et al. High bone mineral density and fracture risk in type 2 diabetes as skeletal complications of inadequate glucose control: the Rotterdam Study. Diabetes Care. 2013;36(6):1619–28.

    PubMed  CAS  Google Scholar 

  144. Castaño-Betancourt MC, Rivadeneira F, Bierma-Zeinstra S, Kerkhof HJ, Hofman A, Uitterlinden AG, et al. Bone parameters across different types of hip osteoarthritis and their relationship to osteoporotic fracture risk. Arthr Rheum. 2013;65(3):693–700.

    Google Scholar 

  145. Castaño-Betancourt MC, Van Meurs JB, Bierma-Zeinstra S, Rivadeneira F, Hofman A, Weinans H, et al. The contribution of hip geometry to the prediction of hip osteoarthritis. Osteoarthr Cartil. 2013b.

  146. van der Loos MJ, Haring R, Rietveld CA, Baumeister SE, Groenen PJ, Hofman A, et al. Serum testosterone levels in males are not associated with entrepreneurial behavior in two independent observational studies. Physiol Behav.

  147. Estrada K, Styrkarsdottir U, Evangelou E, Hsu YH, Duncan EL, Ntzani EE, et al. Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture. Nat Genet. 2012;44(5):491–501.

    PubMed  CAS  Google Scholar 

  148. arcOGEN Consortium; arcOGEN Collaborators, Zeggini E, Loughlin J. Identification of new susceptibility loci for osteoarthritis (arcOGEN): a genome-wide association study. Lancet. 2012;380(9844):815–23.

  149. Castaño Betancourt MC, Cailotto F, Kerkhof HJ, Cornelis FM, Doherty SA, Hart DJ, et al. Genome-wide association and functional studies identify the DOT1L gene to be involved in cartilage thickness and hip osteoarthritis. Proc Natl Acad Sci USA. 2012;109(21):8218–23.

    PubMed  Google Scholar 

  150. Peters MJ, Broer L, Willemen HL, Eiriksdottir G, Hocking LJ, Holliday KL, et al. Genome-wide association study meta-analysis of chronic widespread pain: evidence for involvement of the 5p15.2 region. Ann Rheum Dis. 2013;72(3):427–36.

    PubMed  CAS  Google Scholar 

  151. Stolk L, Perry JR, Chasman DI, He C, Mangino M, Sulem P, et al. Meta-analyses identify 13 loci associated with age at menopause and highlight DNA repair and immune pathways. Nat Genet. 2012;44(3):260–8.

    PubMed  CAS  Google Scholar 

  152. Porcu E, Medici M, Pistis G, Volpato CB, Wilson SG, Cappola AR, et al. A meta-analysis of thyroid-related traits reveals novel loci and gender-specific differences in the regulation of thyroid function. PLoS Genet. 2013;9(2):e1003266.

    Google Scholar 

  153. Mayerle J, den Hoed CM, Schurmann C, Stolk L, Homuth G, Peters MJ, et al. Identification of genetic loci associated with Helicobacter pylori serologic status. JAMA. 2013;309(18):1912–20.

    PubMed  CAS  Google Scholar 

  154. Lagiou P, Samoli E, Lipworth L, Lagiou A, Fang F, Rossi M, et al. Energy intake during pregnancy in relation to offspring gender by maternal height. Eur J Epidemiol. 2011;26(1):39–44.

    PubMed  Google Scholar 

  155. Parker LA, Porta M, Lumbreras B, Lopez T, Guarner L, Hernandez-Aguado I, et al. Clinical validity of detecting K-ras mutations for the diagnosis of exocrine pancreatic cancer: a prospective study in a clinically-relevant spectrum of patients. Eur J Epidemiol. 2011;26(3):229–36.

    PubMed  CAS  Google Scholar 

  156. Jorgensen L, Hansen JB, Brox J, Mathiesen E, Vik A, Jacobsen BK. Serum osteoprotegerin levels are related to height loss: the Tromso Study. Eur J Epidemiol. 2011;26(4):305–12.

    PubMed  CAS  Google Scholar 

  157. Pearce MS, McNally RJQ, Day J, Korada SM, Turner S, Cheetham TD. Space-time clustering of elevated thyroid stimulating hormone levels. Eur J Epidemiol. 2011;26(5):405–11.

    PubMed  CAS  Google Scholar 

  158. Golden SH, Wand GS, Malhotra S, Kamel I, Horton K. Reliability of hypothalamic-pituitary-adrenal axis assessment methods for use in population-based studies. Eur J Epidemiol. 2011;26(7):511–25.

    PubMed  CAS  Google Scholar 

  159. Cerqueira C, Knudsen N, Ovesen L, Laurberg P, Perrild H, Rasmussen LB, et al. Doubling in the use of thyroid hormone replacement therapy in Denmark: association to iodization of salt. Eur J Epidemiol. 2011;26(8):629–35.

    PubMed  CAS  Google Scholar 

  160. Feart C, Peres K, Samieri C, Letenneur L, Dartigues JF, Barberger-Gateau P. Adherence to a Mediterranean diet and onset of disability in older persons. Eur J Epidemiol. 2011;26(9):747–56.

    PubMed  Google Scholar 

  161. Moebus S, Gores L, Losch C, Jockel KH. Impact of time since last caloric intake on blood glucose levels. Eur J Epidemiol. 2011;26(9):719–28.

    PubMed  CAS  Google Scholar 

  162. Schottker B, Raum E, Rothenbacher D, Muller H, Brenner H. Prognostic value of haemoglobin A1c and fasting plasma glucose for incident diabetes and implications for screening. Eur J Epidemiol. 2011;26(10):779–87.

    PubMed  Google Scholar 

  163. Tamakoshi K, Yatsuya H, Tamakoshi A, Grp JS. Early age at menarche associated with increased all-cause mortality. Eur J Epidemiol. 2011;26(10):771–8.

    PubMed  Google Scholar 

  164. Jiang Y, Ben QW, Shen H, Lu WQ, Zhang Y, Zhu J. Diabetes mellitus and incidence and mortality of colorectal cancer: a systematic review and meta-analysis of cohort studies. Eur J Epidemiol. 2011;26(11):863–76.

    PubMed  Google Scholar 

  165. Tamayo T, Jacobs DR, Strassburger K, Giani G, Seeman TE, Matthews K, et al. Race- and sex-specific associations of parental education with insulin resistance in middle-aged participants: the CARDIA study. Eur J Epidemiol. 2012;27(5):349–55.

    PubMed  Google Scholar 

  166. Ma LL, Oei L, Jiang LD, Estrada K, Chen HY, Wang Z, et al. Association between bone mineral density and type 2 diabetes mellitus: a meta-analysis of observational studies. Eur J Epidemiol. 2012;27(5):319–32.

    PubMed  CAS  Google Scholar 

  167. Morseth B, Ahmed LA, Bjornerem A, Emaus N, Jacobsen BK, Joakimsen R, et al. Leisure time physical activity and risk of non-vertebral fracture in men and women aged 55 years and older: the Tromso Study. Eur J Epidemiol. 2012;27(6):463–71.

    PubMed  Google Scholar 

  168. Nuesch E, Dale CE, Amuzu A, Kuper H, Bowling A, Ploubidis GB, et al. Inflammation, coagulation and risk of locomotor disability in elderly women: findings from the British Women’s Heart and Health Study. Eur J Epidemiol. 2012;27(8):633–45.

    PubMed  Google Scholar 

  169. McNally RJQ, Blakey K, James PW, Pozo BG, Basta NO, Hale J. Increasing incidence of thyroid cancer in Great Britain, 1976–2005: age-period-cohort analysis. Eur J Epidemiol. 2012;27(8):615–22.

    PubMed  Google Scholar 

  170. Bell GA, Kantor ED, Lampe JW, Shen DD, White E. Use of glucosamine and chondroitin in relation to mortality. Eur J Epidemiol. 2012;27(8):593–603.

    PubMed  CAS  Google Scholar 

  171. Omsland TK, Holvik K, Meyer HE, Center JR, Emaus N, Tell GS, et al. Hip fractures in Norway 1999–2008: time trends in total incidence and second hip fracture rates. A NOREPOS study. Eur J Epidemiol. 2012;27(10):807–14.

    PubMed  Google Scholar 

  172. Lagerros YT, Cnattingius S, Granath F, Hanson U, Wikstrom AK. From infancy to pregnancy: birth weight, body mass index, and the risk of gestational diabetes. Eur J Epidemiol. 2012;27(10):799–805.

    PubMed  Google Scholar 

  173. Jacobsen BK, Knutsen SF, Oda K, Fraser GE. Obesity at age 20 and the risk of miscarriages, irregular periods and reported problems of becoming pregnant: the Adventist Health Study-2. Eur J Epidemiol. 2012;27(12):923–31.

    PubMed  Google Scholar 

  174. Hamaguchi M, Kojima T, Itoh Y, Harano Y, Fujii K, Nakajima T, et al. The severity of ultrasonographic findings in nonalcoholic fatty liver disease reflects the metabolic syndrome and visceral fat accumulation. Am J Gastroenterol. 2007;102(12):2708–15.

    PubMed  Google Scholar 

  175. Sandrin L, Fourquet B, Hasquenoph JM, Yon S, Fournier C, Mal F, et al. Transient elastography: a new noninvasive method for assessment of hepatic fibrosis. Ultrasound Med Biol. 2003;29(12):1705–13.

    PubMed  Google Scholar 

  176. Talwalkar JA, Kurtz DM, Schoenleber SJ, West CP, Montori VM. Ultrasound-based transient elastography for the detection of hepatic fibrosis: systematic review and meta-analysis. Clin Gastroenterol Hepatol. 2007;5(10):1214–20.

    PubMed  Google Scholar 

  177. Amiri M, Janssen F, Kunst AE. The decline in stomach cancer mortality: exploration of future trends in seven European countries. Eur J Epidemiol. 2011;26(1):23–8.

    PubMed  Google Scholar 

  178. Coleman HG, Bhat S, Murray LJ, McManus D, Gavin AT, Johnston BT. Increasing incidence of Barrett’s oesophagus: a population-based study. Eur J Epidemiol. 2011;26(9):739–45.

    PubMed  Google Scholar 

  179. Gao S, Yang WS, Bray F, Va P, Zhang W, Gao J, et al. Declining rates of hepatocellular carcinoma in urban Shanghai: incidence trends in 1976–2005. Eur J Epidemiol. 2012;27(1):39–46.

    PubMed  Google Scholar 

  180. Marron M, Boffetta P, Moller H, Ahrens W, Pohlabeln H, Benhamou S, et al. Risk of upper aerodigestive tract cancer and type of alcoholic beverage: a European multicenter case-control study. Eur J Epidemiol. 2012;27(7):499–517.

    PubMed  CAS  Google Scholar 

  181. Ott A, Breteler MM, van Harskamp F, Claus JJ, van der Cammen TJ, Grobbee DE, Hofman A. Prevalence of Alzheimer’s disease and vascular dementia: association with education. The Rotterdam study. BMJ. 1995;310(6985):970–3.

    PubMed  CAS  Google Scholar 

  182. de Rijk MC, Breteler MM, Graveland GA, Ott A, Grobbee DE, van der Meché FG, Hofman A. Prevalence of Parkinson’s disease in the elderly: the Rotterdam Study. Neurology. 1995;45(12):2143–6.

    PubMed  Google Scholar 

  183. Ruitenberg A, Ott A, van Swieten JC, Hofman A, Breteler MM. Incidence of dementia: does gender make a difference? Neurobiol Aging. 2001;22(4):575–80.

    PubMed  CAS  Google Scholar 

  184. Hollander M, Koudstaal PJ, Bots ML, Grobbee DE, Hofman A, Breteler MM. Incidence, risk, and case fatality of first ever stroke in the elderly population. The Rotterdam Study. J Neurol Neurosurg Psychiatry. 2003;74(3):317–21.

    PubMed  CAS  Google Scholar 

  185. de Lau LM, Giesbergen PC, de Rijk MC, Hofman A, Koudstaal PJ, Breteler MM. Incidence of parkinsonism and Parkinson disease in a general population: the Rotterdam Study. Neurology. 2004;63(7):1240–4.

    PubMed  Google Scholar 

  186. Schrijvers EM, Verhaaren BF, Koudstaal PJ, Hofman A, Ikram MA, Breteler MM. Is dementia incidence declining?: Trends in dementia incidence since 1990 in the Rotterdam Study. Neurology. 2012;78(19):1456–63.

    PubMed  CAS  Google Scholar 

  187. Wieberdink RG, Ikram MA, Hofman A, Koudstaal PJ, Breteler MM. Trends in stroke incidence rates and stroke risk factors in Rotterdam, the Netherlands from 1990 to 2008. Eur J Epidemiol. 2012;27(4):287–95.

    PubMed  Google Scholar 

  188. Ikram MA, Wieberdink RG, Koudstaal PJ. International epidemiology of intracerebral hemorrhage. Curr Atheroscler Rep. 2012;14(4):300–6.

    PubMed  Google Scholar 

  189. Breteler MM, Claus JJ, Grobbee DE, Hofman A. Cardiovascular disease and distribution of cognitive function in elderly people: the Rotterdam Study. BMJ. 1994;308(6944):1604–8.

    PubMed  CAS  Google Scholar 

  190. Hofman A, Ott A, Breteler MM, Bots ML, Slooter AJ, van Harskamp F, et al. Atherosclerosis, apolipoprotein E, and prevalence of dementia and Alzheimer’s disease in the Rotterdam Study. Lancet. 1997;349(9046):151–4.

    PubMed  CAS  Google Scholar 

  191. Ott A, Slooter AJ, Hofman A, van Harskamp F, Witteman JC, Van Broeckhoven C, et al. Smoking and risk of dementia and Alzheimer’s disease in a population-based cohort study: the Rotterdam Study. Lancet. 1998;351(9119):1840–3.

    PubMed  CAS  Google Scholar 

  192. Ruitenberg A, van Swieten JC, Witteman JC, Mehta KM, van Duijn CM, Hofman A, et al. Alcohol consumption and risk of dementia: the Rotterdam Study. Lancet. 2002;359(9303):281–6.

    PubMed  Google Scholar 

  193. de Bruijn RF, Schrijvers EM, de Groot KA, Witteman JC, Hofman A, Franco OH, et al. The association between physical activity and dementia in an elderly population: the Rotterdam Study. Eur J Epidemiol. 2013;28(3):277–83.

    PubMed  Google Scholar 

  194. in t’ Veld BA, Ruitenberg A, Hofman A, Launer LJ, van Duijn CM, Stijnen T, et al. Nonsteroidal antiinflammatory drugs and the risk of Alzheimer’s disease. N Engl J Med. 2001;345(21):1515–21.

  195. Euser SM, Sattar N, Witteman JC, Bollen EL, Sijbrands EJ, Hofman A, et al. A prospective analysis of elevated fasting glucose levels and cognitive function in older people: results from PROSPER and the Rotterdam Study. Diabetes. 2010;59(7):1601–7.

    PubMed  CAS  Google Scholar 

  196. Euser SM, van Bemmel T, Schram MT, Gussekloo J, Hofman A, Westendorp RG, et al. The effect of age on the association between blood pressure and cognitive function later in life. J Am Geriatr Soc. 2009;57(7):1232–7.

    PubMed  Google Scholar 

  197. Hollander M, Bots ML, Del Sol AI, Koudstaal PJ, Witteman JC, Grobbee DE, et al. Carotid plaques increase the risk of stroke and subtypes of cerebral infarction in asymptomatic elderly: the Rotterdam study. Circulation. 2002;105(24):2872–7.

    PubMed  CAS  Google Scholar 

  198. Wieberdink RG, Poels MM, Vernooij MW, Koudstaal PJ, Hofman A, van der Lugt A, et al. Serum lipid levels and the risk of intracerebral hemorrhage: the Rotterdam Study. Arterioscler Thromb Vasc Biol. 2011;31:2982–9.

    PubMed  CAS  Google Scholar 

  199. Wieberdink RG, Koudstaal PJ, Hofman A, Witteman JC, Breteler MM, Ikram MA. Insulin resistance and the risk of stroke and stroke subtypes in the nondiabetic elderly. Am J Epidemiol. 2012;176(8):699–707.

    PubMed  Google Scholar 

  200. Bos MJ, Schipper CM, Koudstaal PJ, Witteman JC, Hofman A, Breteler MM. High serum C-reactive protein level is not an independent predictor for stroke: the Rotterdam Study. Circulation. 2006;114(15):1591–8.

    PubMed  CAS  Google Scholar 

  201. Vermeer SE, Prins ND, den Heijer T, Hofman A, Koudstaal PJ, Breteler MM. Silent brain infarcts and the risk of dementia and cognitive decline. N Engl J Med. 2003;348(13):1215–22.

    PubMed  Google Scholar 

  202. Vernooij MW, Ikram MA, Tanghe HL, Vincent AJ, Hofman A, Krestin GP, et al. Incidental findings on brain MRI in the general population. N Engl J Med. 2007;357(18):1821–8.

    PubMed  CAS  Google Scholar 

  203. Seshadri S, Fitzpatrick AL, Ikram MA, DeStefano AL, Gudnason V, Boada M, et al. Genome-wide analysis of genetic loci associated with Alzheimer disease. JAMA. 2010;303(18):1832–40.

    PubMed  CAS  Google Scholar 

  204. Ikram MA, Seshadri S, Bis JC, Fornage M, DeStefano AL, Aulchenko YS, et al. Genomewide association studies of stroke. N Engl J Med. 2009;360(17):1718–28.

    PubMed  CAS  Google Scholar 

  205. Schrijvers EM, Schurmann B, Koudstaal PJ, van den Bussche H, Van Duijn CM, Hentschel F, et al. Genome-wide association study of vascular dementia. Stroke. 2012;43(2):315–9.

    PubMed  Google Scholar 

  206. Verhaaren BF, Vernooij MW, Koudstaal PJ, Uitterlinden AG, van Duijn CM, Hofman A, et al. Alzheimer’s disease genes and cognition in the nondemented general population. Biol Psychiatry. 2013;73(5):429–34.

    PubMed  CAS  Google Scholar 

  207. Breteler MM, van Swieten JC, Bots ML, Grobbee DE, Claus JJ, van den Hout JH, et al. Cerebral white matter lesions, vascular risk factors, and cognitive function in a population-based study: the Rotterdam Study. Neurology. 1994;44(7):1246–52.

    PubMed  CAS  Google Scholar 

  208. Ikram MA, van der Lugt A, Niessen WJ, Krestin GP, Koudstaal PJ, Hofman A, et al. The Rotterdam Scan Study: design and update up to 2012. Eur J Epidemiol. 2011;26(10):811–24.

    PubMed  Google Scholar 

  209. Ikram MA, van Oijen M, de Jong FJ, Kors JA, Koudstaal PJ, Hofman A, et al. Unrecognized myocardial infarction in relation to risk of dementia and cerebral small vessel disease. Stroke. 2008;39(5):1421–6.

    PubMed  Google Scholar 

  210. Ikram MA, Vernooij MW, Hofman A, Niessen WJ, van der Lugt A, Breteler MM. Kidney function is related to cerebral small vessel disease. Stroke. 2008;39(1):55–61.

    PubMed  Google Scholar 

  211. Ikram MA, Vrooman HA, Vernooij MW, van der Lijn F, Hofman A, van der Lugt A, et al. Brain tissue volumes in the general elderly population. The Rotterdam Scan Study. Neurobiol Aging. 2008;29(6):882–90.

    PubMed  Google Scholar 

  212. Ikram MK, de Jong FJ, Vernooij MW, Hofman A, Niessen WJ, van der Lugt A, et al. Retinal vascular calibers associate differentially with cerebral gray matter and white matter atrophy. Alzheimer Dis Assoc Disord. 2013.

  213. Poels MM, Zaccai K, Verwoert GC, Vernooij MW, Hofman A, van der Lugt A, et al. Arterial stiffness and cerebral small vessel disease: the Rotterdam Scan Study. Stroke. 2012;43(10):2637–42.

    PubMed  Google Scholar 

  214. Poels MM, Steyerberg EW, Wieberdink RG, Hofman A, Koudstaal PJ, Ikram MA, et al. Assessment of cerebral small vessel disease predicts individual stroke risk. J Neurol Neurosurg Psychiatry. 2012;83(12):1174–9.

    PubMed  Google Scholar 

  215. Verhaaren BF, Vernooij MW, Dehghan A, Vrooman HA, de Boer R, Hofman A, et al. The relation of uric acid to brain atrophy and cognition: the Rotterdam Scan Study. Neuroepidemiology. 2013;41(1):29–34.

    PubMed  Google Scholar 

  216. Saavedra Perez HC, Direk N, Hofman A, Vernooij MW, Tiemeier H, Ikram MA. Silent brain infarcts: a cause of depression in the elderly? Psychiatry Res. 2013;211(2):180–2.

    PubMed  Google Scholar 

  217. Ikram MA, Vernooij MW, Vrooman HA, Hofman A, Breteler MM. Brain tissue volumes and small vessel disease in relation to the risk of mortality. Neurobiol Aging. 2009;30(3):450–6.

    PubMed  Google Scholar 

  218. Ikram MA, Vrooman HA, Vernooij MW, den Heijer T, Hofman A, Niessen WJ, et al. Brain tissue volumes in relation to cognitive function and risk of dementia. Neurobiol Aging. 2010;31(3):378–86.

    PubMed  Google Scholar 

  219. Ikram MA, Fornage M, Smith AV, Seshadri S, Schmidt R, Debette S, et al. Common variants at 6q22 and 17q21 are associated with intracranial volume. Nat Genet. 2012;44(5):539–44.

    PubMed  CAS  Google Scholar 

  220. Bis JC, DeCarli C, Smith AV, van der Lijn F, Crivello F, Fornage M, et al. Common variants at 12q14 and 12q24 are associated with hippocampal volume. Nat Genet. 2012;44(5):545–51.

    PubMed  CAS  Google Scholar 

  221. Stein JL, Medland SE, Vasquez AA, Hibar DP, Senstad RE, Winkler AM, et al. Identification of common variants associated with human hippocampal and intracranial volumes. Nat Genet. 2012;44(5):552–61.

    PubMed  CAS  Google Scholar 

  222. Verhaaren BF, de Boer R, Vernooij MW, Rivadeneira F, Uitterlinden AG, Hofman A, et al. Replication study of chr17q25 with cerebral white matter lesion volume. Stroke. 2011;42(11):3297–9.

    PubMed  Google Scholar 

  223. Fornage M, Debette S, Bis JC, Schmidt H, Ikram MA, Dufouil C, et al. Genome-wide association studies of cerebral white matter lesion burden: the CHARGE consortium. Ann Neurol. 2011;69(6):928–39.

    PubMed  CAS  Google Scholar 

  224. Debette S, Bis JC, Fornage M, Schmidt H, Ikram MA, Sigurdsson S, et al. Genome-wide association studies of MRI-defined brain infarcts: meta-analysis from the CHARGE Consortium. Stroke. 2010;41(2):210–7.

    PubMed  CAS  Google Scholar 

  225. Ikram MA, DeCarli C. Next frontiers in the genetic epidemiology of Alzheimer’s disease. Eur J Epidemiol. 2012;27(11):831–6.

    PubMed  Google Scholar 

  226. Verlinden VJ, van der Geest JN, Hoogendam YY, Hofman A, Breteler MM, Ikram MA. Gait patterns in a community-dwelling population aged 50 years and older. Gait Posture. 2013;37(4):500–5.

    PubMed  CAS  Google Scholar 

  227. Bos MJ, van Rijn MJ, Witteman JC, Hofman A, Koudstaal PJ, Breteler MM. Incidence and prognosis of transient neurological attacks. JAMA. 2007;298(24):2877–85.

    PubMed  CAS  Google Scholar 

  228. Killgore WD, Glahn DC, Casasanto DJ. Development and validation of the design organization test (DOT): a rapid screening instrument for assessing visuospatial ability. J Clin Exp Neuropsychol. 2005;27(4):449–59.

    PubMed  Google Scholar 

  229. Trouillas P, Takayanagi T, Hallett M, Currier RD, Subramony SH, Wessel K, et al. International Cooperative Ataxia Rating Scale for pharmacological assessment of the cerebellar syndrome. The Ataxia Neuropharmacology Committee of the World Federation of Neurology. J Neurol Sci. 1997;145(2):205–11.

    PubMed  CAS  Google Scholar 

  230. Gulsvik AK, Gulsvik A, Svendsen E, Maehle BO, Thelle DS, Wyller TB. Diagnostic validity of fatal cerebral strokes and coronary deaths in mortality statistics: an autopsy study. Eur J Epidemiol. 2011;26(3):221–8.

    PubMed  Google Scholar 

  231. Bos MJ, Alberts VP, Koudstaal PJ, Breteler MMB. Increased risk of stroke after the diagnosis of heart failure: is it a paradox of initiating heart failure treatment? Reply. Eur J Epidemiol. 2011;26(5):430.

    Google Scholar 

  232. Yetkin E. Increased risk of stroke after the diagnosis of heart failure: is it a paradox of initiating heart failure treatment? Eur J Epidemiol. 2011;26(5):429–30.

    Google Scholar 

  233. Reuser M, Willekens FJ, Bonneux L. Higher education delays and shortens cognitive impairment. A multistate life table analysis of the US Health and Retirement Study. Eur J Epidemiol. 2011;26(5):395–403.

    PubMed  Google Scholar 

  234. Wirdefeldt K, Adami HO, Cole P, Trichopoulos D, Mandel J. Epidemiology and etiology of Parkinson’s disease: a review of the evidence. Eur J Epidemiol. 2011;26:S1–58.

    PubMed  Google Scholar 

  235. Wang A, Costello S, Cockburn M, Zhang XB, Bronstein J, Ritz B. Parkinson’s disease risk from ambient exposure to pesticides. Eur J Epidemiol. 2011;26(7):547–55.

    PubMed  CAS  Google Scholar 

  236. Elbaz A. In search of the causes of Parkinson’s disease, seasons 1 to 4. Eur J Epidemiol. 2011;26(7):505–9.

    PubMed  Google Scholar 

  237. Gordon PH, Artaud F, Aouba A, Laurent F, Meininger V, Elbaz A. Changing mortality for motor neuron disease in France (1968–2007): an age-period-cohort analysis. Eur J Epidemiol. 2011;26(9):729–37.

    PubMed  Google Scholar 

  238. Broer L, Koudstaal PJ, Amin N, Rivadeneira F, Uitterlinden AG, Hofman A, et al. Association of heat shock proteins with Parkinson’s disease. Eur J Epidemiol. 2011;26(12):933–5.

    PubMed  Google Scholar 

  239. Creavin ST, Gallacher J, Pickering J, Fehily A, Fish M, Ebrahim S, et al. High caloric intake, poor cognition and dementia: the Caerphilly Prospective Study. Eur J Epidemiol. 2012;27(3):197–203.

    PubMed  CAS  Google Scholar 

  240. Chowdhury R, Stevens S, Ward H, Chowdhury S, Sajjad A, Franco OH. Circulating vitamin D, calcium and risk of cerebrovascular disease: a systematic review and meta-analysis. Eur J Epidemiol. 2012;27(8):581–91.

    PubMed  CAS  Google Scholar 

  241. Larsson SC, Orsini N, Wolk A. Long-chain omega-3 polyunsaturated fatty acids and risk of stroke: a meta-analysis. Eur J Epidemiol. 2012;27(12):895–901.

    PubMed  CAS  Google Scholar 

  242. Consortium AG, Fritsche LG, Chen W, et al. Seven new loci associated with age-related macular degeneration. Nat Genet. 2013;45(4):433–9.

    Google Scholar 

  243. Klein R, Klein BE, Linton KL, De Mets DL. The Beaver Dam Eye Study: visual acuity. Ophthalmology. 1991;98(8):1310–5.

    PubMed  CAS  Google Scholar 

  244. Varma R, Paz SH, Azen SP, et al. The Los Angeles Latino Eye Study: design, methods, and baseline data. Ophthalmology. 2004;111(6):1121–31.

    PubMed  Google Scholar 

  245. Mitchell P, Smith W, Attebo K, Wang JJ. Prevalence of age-related maculopathy in Australia. The Blue Mountains Eye Study. Ophthalmology. 1995;102(10):1450–60.

    PubMed  CAS  Google Scholar 

  246. van Koolwijk LM, Ramdas WD, Ikram MK, et al. Common genetic determinants of intraocular pressure and primary open-angle glaucoma. PLoS Genet. 2012;8(5):e1002611.

    Google Scholar 

  247. Ramdas WD, Wolfs RC, Kiefte-de Jong JC, et al. Nutrient intake and risk of open-angle glaucoma: the Rotterdam Study. Eur J Epidemiol. 2012;27(5):385–93.

    PubMed  CAS  Google Scholar 

  248. Springelkamp H, Lee K, Ramdas WD, et al. Optimizing the information yield of 3-D OCT in glaucoma. Invest Ophthalmol Vis Sci. 2012;53(13):8162–71.

    PubMed  Google Scholar 

  249. Solouki AM, Verhoeven VJ, van Duijn CM, et al. A genome-wide association study identifies a susceptibility locus for refractive errors and myopia at 15q14. Nat Genet. 2010;42(10):897–901.

    PubMed  CAS  Google Scholar 

  250. Verhoeven VJ, Hysi PG, Wojciechowski R, et al. Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia. Nat Genet. 2013;45(3):314–8.

    PubMed  CAS  Google Scholar 

  251. Claessen H, Genz J, Bertram B, Trautner C, Giani G, Zollner I, et al. Evidence for a considerable decrease in total and cause-specific incidences of blindness in Germany. Eur J Epidemiol. 2012;27(7):519–24.

    PubMed  Google Scholar 

  252. Tiemeier H, van Dijck W, Hofman A, Witteman JCM, Stijnen T, Breteler MMB. Atherosclerosis and late life depression are related. The Rotterdam Study. Arch Gen Psychiatry. 2004;61:369–76.

    PubMed  Google Scholar 

  253. Tiemeier H, van Tuijl HR, Hofman A, Kiliaan AJ, Breteler MMB. Plasma fatty acid composition and depression in the elderly are associated: the Rotterdam Study. Am J Clin Nutr. 2003;78:40–6.

    PubMed  CAS  Google Scholar 

  254. Dekker MJ, Koper JW, van Aken MO, Pols HA, Hofman A, de Jong FH, Kirschbaum C, Witteman JC, Lamberts SW, Tiemeier H. Salivary cortisol is related to atherosclerosis of carotid arteries. J Clin Endocrinol Metab. 2008;93:3741–7.

    PubMed  CAS  Google Scholar 

  255. Hek K, Demirkan A, Lahti J, Terracciano A, Teumer A, Cornelis MC, et al. A genome-wide association study of depressive symptoms. Biol Psychiatry. 2013;73:667–78.

    PubMed  CAS  Google Scholar 

  256. Velders FP, Kuningas M, Kumari M, Dekker MJ, Uitterlinden AG, Kirschbaum C, et al. Genetics of cortisol secretion and depressive symptoms: a candidate gene and genome wide association approach. Psychoneuroendocrinology. 2011;36:1053–61.

    PubMed  CAS  Google Scholar 

  257. Saavedra Perez HC, Direk N, Hofman A, Vernooij MW, Tiemeier H, Ikram MA. Silent brain infarcts: a cause of depression in the elderly? Psychiatry Res. 2013;211:180–2.

    PubMed  Google Scholar 

  258. Krijthe BP, Walter S, Newson RS, Hofman A, Hunink MG, Tiemeier H. Is positive affect associated with survival? A population-based study of elderly persons. Am J Epidemiol. 2011;173:1298–307.

    PubMed  Google Scholar 

  259. Luijendijk HJ, van den Berg JF, Dekker MJHJ, van Tuijl HR, Otte W, Smit F, et al. Incidence and recurrence of late-life depression. Arch Gen Psychiatry. 2008;65:1394–401.

    PubMed  Google Scholar 

  260. Wittchen HU, Lachner G, Wunderlich U, Pfister H. Test–retest reliability of the computerized DSM-IV version of the Munich-Composite International Diagnostic Interview (M-CIDI). Soc Psychiatry Psychiatr Epidemiol. 1998;33:568–78.

    PubMed  CAS  Google Scholar 

  261. van den Berg JF, van Rooij FJ, Vos H, Tulen JH, Hofman A, Miedema HM, et al. Disagreement between subjective and actigraphic measures of sleep duration in a population-based study of elderly persons. J Sleep Res. 2008;17:295–302.

    Google Scholar 

  262. Prigerson HG, Maciejewski PK, Reynolds CF 3rd, Bierhals AJ, Newsom JT, Fasiczka A, et al. Inventory of Complicated Grief: a scale to measure maladaptive symptoms of loss. Psychiatry Res. 1995;59:65–79.

    PubMed  CAS  Google Scholar 

  263. Naarding P, Tiemeier H, Breteler MM, Schoevers RA, Jonker C, Koudstaal PJ, et al. Clinically defined vascular depression in the general population. Psychol Med. 2007;37:383–92.

    PubMed  Google Scholar 

  264. Newson RS, Hek K, Luijendijk HJ, Hofman A, Witteman JC, Tiemeier H. Atherosclerosis and incident depression in late life. Arch Gen Psychiatry. 2010;67:1144–51.

    PubMed  Google Scholar 

  265. Direk N, Koudstaal PJ, Hofman A, Ikram MA, Hoogendijk WJ, Tiemeier H. Cerebral hemodynamics and incident depression: the Rotterdam Study. Biol Psychiatry. 2012;72:318–23.

    PubMed  Google Scholar 

  266. van den Berg JF, Knvistingh Neven A, Tulen JH, Hofman A, Witteman JC, Miedema HM, et al. Actigraphic sleep duration and fragmentation are related to obesity in the elderly: the Rotterdam Study. Int J Obes. 2008;32:1083–90.

    Google Scholar 

  267. van den Berg JF, Miedema HM, Tulen JH, Hofman A, Neven AK, Tiemeier H. Sex differences in subjective and actigraphic sleep measures: a population-based study of elderly persons. Sleep. 2009;32:1367–75.

    PubMed  Google Scholar 

  268. Hek K, Tiemeier H, Newson R, Luijendijk HJ, Hofman A, Mulder CL. Anxiety disorders and comorbid depression in community dwelling older adults. Int J Methods Psychiat Res. 2011;20:157–68.

    Google Scholar 

  269. The Tobacco and Genetics Consortium. Genome-wide meta-analyses identify multiple loci associated with smoking behaviour. Nat Genet. 2010;42:441–7.

    Google Scholar 

  270. Omidvar M, Stolk L, Uitterlinden AG, Hofman A, Van Duijn CM, Tiemeier H. The effect of catechol-O-methyltransferase Met/Val functional polymorphism on smoking cessation: retrospective and prospective analyses in a cohort study. Pharmacogenet Genomics. 2009;19:45–51.

    PubMed  CAS  Google Scholar 

  271. Newson R, Boelen PA, Hek K, Hofman A, Tiemeier H. The prevalence and characteristics of complicated grief in older adults. J Affect Disord. 2011;132:231–8.

    PubMed  Google Scholar 

  272. Rietveld CA, Cesarini D, Benjamin DJ, Koellinger PD, De Neve JE, Tiemeier H, et al. Molecular genetics and subjective well-being. Proc Natl Acad Sci USA. 2013.

  273. Walter S, Mackenbach J, Vokó Z, Lhachimi S, Ikram MA, Uitterlinden AG, et al. Genetic, physiological, and lifestyle predictors of mortality in the general population. Am J Public Health. 2012;102:e3–10.

    PubMed  Google Scholar 

  274. Timmermans S, Bonsel GJ, Steegers-Theunissen RPM, Mackenbach JP, Steyerberg EW, Raat H, et al. Individual accumulation of heterogeneous risks explains perinatal inequalities within deprived neighbourhoods. Eur J Epidemiol. 2011;26(2):165–80.

    PubMed  Google Scholar 

  275. Gudmundsson P, Andersson S, Gustafson D, Waern M, Ostling S, Hallstrom T, et al. Depression in Swedish women: relationship to factors at birth. Eur J Epidemiol. 2011;26(1):55–60.

    PubMed  Google Scholar 

  276. Ferrante G, Baldissera S, Moghadam PF, Carrozzi G, Trinito MO, Salmaso S. Surveillance of perceptions, knowledge, attitudes and behaviors of the Italian adult population (18–69 years) during the 2009–2010 A/H1N1 influenza pandemic. Eur J Epidemiol. 2011;26(3):211–9.

    PubMed  Google Scholar 

  277. Regidor E, Astasio P, Ortega P, Martinez D, Calle ME, de la Fuente L. Healthy and unhealthy migrant effect on the mortality of immigrants from wealthy countries residing in Spain. Eur J Epidemiol. 2011;26(4):265–73.

    PubMed  Google Scholar 

  278. Cnattingius S, Svensson T, Granath F, Iliadou A. Maternal smoking during pregnancy and risks of suicidal acts in young offspring. Eur J Epidemiol. 2011;26(6):485–92.

    PubMed  Google Scholar 

  279. Strand BH, Cooper R, Hardy R, Kuh D, Guralnik J. Lifelong socioeconomic position and physical performance in midlife: results from the British 1946 birth cohort. Eur J Epidemiol. 2011;26(6):475–83.

    PubMed  Google Scholar 

  280. Rothman KJ, Stein Z, Susser M. Rebuilding bridges: what is the real role of social class in disease occurrence? Eur J Epidemiol. 2011;26(6):431–2.

    PubMed  Google Scholar 

  281. Danziger PD, Silverwood R, Koupil I. Fetal growth, early life circumstances, and risk of suicide in late adulthood. Eur J Epidemiol. 2011;26(7):571–81.

    PubMed  Google Scholar 

  282. Pasta L, Marchese G. North African refugees, fleeing the fighting, admitted to Sicilian hospitals from January 1st to June 10th, 2011. Eur J Epidemiol. 2011;26(8):687.

  283. Johansen A, Holmen J, Stewart R, Bjerkeset O. Anxiety and depression symptoms in arterial hypertension: the influence of antihypertensive treatment. The HUNT study, Norway. Eur J Epidemiol. 2012;27(1):63–72.

    PubMed  CAS  Google Scholar 

  284. Brattstrom O, Larsson E, Granath F, Riddez L, Bell M, Oldner A. Time dependent influence of host factors on outcome after trauma. Eur J Epidemiol. 2012;27(3):233–41.

    PubMed  Google Scholar 

  285. Blom V, Bergstrom G, Hallsten L, Bodin L, Svedberg P. Genetic susceptibility to burnout in a Swedish twin cohort. Eur J Epidemiol. 2012;27(3):225–31.

    PubMed  Google Scholar 

  286. Franco OH, Wong YL, Kandala NB, Ferrie JE, Dorn JM, Kivimaki M, et al. Cross-cultural comparison of correlates of quality of life and health status: the Whitehall II Study (UK) and the Western New York Health Study (US). Eur J Epidemiol. 2012;27(4):255–65.

    PubMed  Google Scholar 

  287. Mitchell KR, Ploubidis GB, Datta J, Wellings K. The Natsal-SF: a validated measure of sexual function for use in community surveys. Eur J Epidemiol. 2012;27(6):409–18.

    PubMed  Google Scholar 

  288. Da Silva MA, Singh-Manoux A, Brunner EJ, Kaffashian S, Shipley MJ, Kivimaki M, et al. Bidirectional association between physical activity and symptoms of anxiety and depression: the Whitehall II study. Eur J Epidemiol. 2012;27(7):537–46.

    Google Scholar 

  289. Smithers LG, Golley RK, Mittinty MN, Brazionis L, Northstone K, Emmett P, et al. Dietary patterns at 6, 15 and 24 months of age are associated with IQ at 8 years of age. Eur J Epidemiol. 2012;27(7):525–35.

    PubMed  CAS  Google Scholar 

  290. Niederkrotenthaler T, Rasmussen F, Mittendorfer-Rutz E. Perinatal conditions and parental age at birth as risk markers for subsequent suicide attempt and suicide: a population based case-control study. Eur J Epidemiol. 2012;27(9):729–38.

    PubMed  Google Scholar 

  291. Stickley A, Leinsalu M, Kunst AE, Bopp M, Strand BH, Martikainen P, et al. Socioeconomic inequalities in homicide mortality: a population-based comparative study of 12 European countries. Eur J Epidemiol. 2012;27(11):877–84.

    PubMed  Google Scholar 

  292. Vestbo J, Hurd SS, Agusti AG, Jones PW, Vogelmeier C, Anzueto A, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2013;187(4):347–65.

    PubMed  CAS  Google Scholar 

  293. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2224–60.

    PubMed  Google Scholar 

  294. Wenzel SE. Asthma: defining of the persistent adult phenotypes. Lancet. 2006;368(9537):804–13.

    PubMed  CAS  Google Scholar 

  295. Hanania NA, King MJ, Braman SS, Saltoun C, Wise RA, Enright P, et al. Asthma in the elderly: current understanding and future research needs—a report of a National Institute on Aging (NIA) workshop. J Allergy Clin Immunol. 2011;128(3 Suppl):S4–24.

    PubMed  Google Scholar 

  296. van Durme YM, Verhamme KM, Stijnen T, van Rooij FJ, Van Pottelberge GR, Hofman A, et al. Prevalence, incidence, and lifetime risk for the development of COPD in the elderly: the Rotterdam study. Chest. 2009;135(2):368–77.

    PubMed  Google Scholar 

  297. Lahousse L, Vernooij MW, Darweesh SK, Akoudad S, Loth DW, Joos GF, et al. Chronic obstructive pulmonary disease and cerebral microbleeds. The Rotterdam Study. Am J Respir Crit Care Med. 2013;188(7):783–8.

    PubMed  CAS  Google Scholar 

  298. van Durme YM, Verhamme KM, Aarnoudse AJ, Van Pottelberge GR, Hofman A, Witteman JC, et al. C-reactive protein levels, haplotypes, and the risk of incident chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2009;179(5):375–82.

    PubMed  Google Scholar 

  299. Lahousse L, van den Bouwhuijsen QJ, Loth DW, Joos GF, Hofman A, Witteman JC, et al. Chronic obstructive pulmonary disease and lipid core carotid artery plaques in the elderly: the Rotterdam Study. Am J Respir Crit Care Med. 2013;187(1):58–64.

    PubMed  CAS  Google Scholar 

  300. Hancock DB, Eijgelsheim M, Wilk JB, Gharib SA, Loehr LR, et al. Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function. Nat Genet. 2010;42:45–52. doi:10.1038/ng.500.

    PubMed  CAS  Google Scholar 

  301. Artigas MS, Loth DW, Wain LV, Gharib SA, Obeidat M, et al. Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function. Nat Genet. 2011;43(11):1082–91.

    CAS  Google Scholar 

  302. Brusselle GG. Matrix metalloproteinase 12, asthma, and COPD. N Engl J Med. 2009;361(27):2664–5.

    PubMed  CAS  Google Scholar 

  303. Van Durme YM, Eijgelsheim M, Joos GF, Hofman A, Uitterlinden AG, Brusselle GG, et al. Hedgehog-interacting protein is a COPD susceptibility gene: the Rotterdam Study. Eur Respir J. 2010;36(1):89–95.

    PubMed  Google Scholar 

  304. Wilk JB, Shrine NR, Loehr LR, Zhao JH, Manichaikul A, Lopez LM, Smith AV, Heckbert SR, Smolonska J, et al. Genome-wide association studies identify CHRNA5/3 and HTR4 in the development of airflow obstruction. Am J Respir Crit Care Med. 2012;186(7):622–32.

    PubMed  CAS  Google Scholar 

  305. Hancock D, Artigas M, Gharib SA, Henry A, Manichaikul A, et al. Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function. Plos Genetics. 2012;8(12), e1003098.

  306. Macintyre N, Crapo RO, Viegi G, Johnson DC, van der Grinten CP, Brusasco V, et al. Standardisation of the single-breath determination of carbon monoxide uptake in the lung. Eur Respir J. 2005;26(4):720–35.

    PubMed  CAS  Google Scholar 

  307. Gimeno D, Delclos GL, Ferrie JE, De Vogli R, Elovainio M, Marmot MG, et al. Association of CRP and IL-6 with lung function in a middle-aged population initially free from self-reported respiratory problems: the Whitehall II study. Eur J Epidemiol. 2011;26(2):135–44.

    PubMed  CAS  Google Scholar 

  308. Slachtova H, Gehring U, Hoek G, Tomaskova H, Luttmann-Gibson H, Moshammer H, et al. Parental education and lung function of children in the PATY study. Eur J Epidemiol. 2011;26(1):45–54.

    PubMed  Google Scholar 

  309. Hertel S, Viehmann A, Moebus S, Mann K, Brocker-Preuss M, Mohlenkamp S, et al. Influence of short-term exposure to ultrafine and fine particles on systemic inflammation (vol 25, pg 581, 2010). Eur J Epidemiol. 2011;26(2):181–2.

    Google Scholar 

  310. Nicoll A, Sprenger M. Learning lessons from the 2009 pandemic: putting infections in their proper place. Eur J Epidemiol. 2011;26(3):191–4.

    PubMed  Google Scholar 

  311. Beyerlein A, Ruckinger S, Toschke AM, Rosario AS, von Kries R. Is low birth weight in the causal pathway of the association between maternal smoking in pregnancy and higher BMI in the offspring? Eur J Epidemiol. 2011;26(5):413–20.

    PubMed  Google Scholar 

  312. Bakker H, Jaddoe VWV. Cardiovascular and metabolic influences of fetal smoke exposure. Eur J Epidemiol. 2011;26(10):763–70.

    PubMed  CAS  Google Scholar 

  313. Duijts L. Fetal and infant origins of asthma. Eur J Epidemiol. 2012;27(1):5–14.

    PubMed  Google Scholar 

  314. Firoozi F, Lemiere C, Beauchesne MF, Perreault S, Forget A, Blais L. Impact of maternal asthma on perinatal outcomes: a two-stage sampling cohort study. Eur J Epidemiol. 2012;27(3):205–14.

    PubMed  Google Scholar 

  315. Pekkanen J, Lampi J, Genuneit J, Hartikainen AL, Jarvelin MR. Analyzing atopic and non-atopic asthma. Eur J Epidemiol. 2012;27(4):281–6.

    PubMed  CAS  Google Scholar 

  316. Gabriele C, Silva LM, Arends LR, Raat H, Moll HA, Hofman A, et al. Early respiratory morbidity in a multicultural birth cohort: the Generation R Study. Eur J Epidemiol. 2012;27(6):453–62.

    PubMed  Google Scholar 

  317. Heikkinen SAM, Quansah R, Jaakkola JJK, Jaakkola MS. Effects of regular exercise on adult asthma. Eur J Epidemiol. 2012;27(6):397–407.

    PubMed  Google Scholar 

  318. Redlberger-Fritz M, Aberle JH, Popow-Kraupp T, Kundi M. Attributable deaths due to influenza: a comparative study of seasonal and pandemic influenza. Eur J Epidemiol. 2012;27(7):567–75.

    PubMed  Google Scholar 

  319. Patel S, Henderson J, Jeffreys M, Smith GD, Galobardes B. Associations between socioeconomic position and asthma: findings from a historical cohort. Eur J Epidemiol. 2012;27(8):623–31.

    PubMed  Google Scholar 

  320. Madsen C, Rosland P, Hoff DA, Nystad W, Nafstad P, Naess OE. The short-term effect of 24-h average and peak air pollution on mortality in Oslo, Norway. Eur J Epidemiol. 2012;27(9):717–27.

    PubMed  CAS  Google Scholar 

  321. Broms K, Norback D, Sundelin C, Eriksson M, Svardsudd K. A nationwide study of asthma incidence rate and its determinants in Swedish pre-school children. Eur J Epidemiol. 2012;27(9):695–703.

    PubMed  Google Scholar 

  322. Vinceti M, Rothman KJ, Crespi CM, Sterni A, Cherubini A, Guerra L, et al. Leukemia risk in children exposed to benzene and PM10 from vehicular traffic: a case-control study in an Italian population. Eur J Epidemiol. 2012;27(10):781–90.

    PubMed  CAS  Google Scholar 

  323. Figarska SM, Boezen HM, Vonk JM. Dyspnea severity, changes in dyspnea status and mortality in the general population: the Vlagtwedde/Vlaardingen study. Eur J Epidemiol. 2012;27(11):867–76.

    PubMed  Google Scholar 

  324. Baughman P, Marott JL, Lange P, Martin CJ, Shankar A, Petsonk EL, et al. Combined effect of lung function level and decline increases morbidity and mortality risks. Eur J Epidemiol. 2012;27(12):933–43.

    PubMed  Google Scholar 

  325. Psaty BM, O’Donnell CJ, Gudnason V, Lunetta KL, Folsom AR, Rotter JI, et al; CHARGE Consortium. Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: design of prospective meta-analyses of genome-wide association studies from 5 cohorts. Circ Cardiovasc Genet. 2009;2(1):73–80.

    Google Scholar 

  326. Boomsma DI, Wijmenga C, Slagboom EP, Swertz MA, Karssen LC, Abdellaoui A. The genome of the Netherlands: design, and project goals. Eur J Hum Genet. 2013.

  327. Altmaier E, Kastenmuller G, Romisch-Margl W, Thorand B, Weinberger KM, Illig T, et al. Questionnaire-based self-reported nutrition habits associate with serum metabolism as revealed by quantitative targeted metabolomics. Eur J Epidemiol. 2011;26(2):145–56.

    PubMed  Google Scholar 

  328. Janssens A, Ioannidis JPA, Bedrosian S, Boffetta P, Dolan SM, Dowling N, et al. Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration. Eur J Epidemiol. 2011;26(4):313–37.

    PubMed  Google Scholar 

  329. Kundu S, Aulchenko YS, van Duijn CM, Janssens A. PredictABEL: an R package for the assessment of risk prediction models. Eur J Epidemiol. 2011;26(4):261–4.

    PubMed  Google Scholar 

  330. Janssens A, Ioannidis JPA, van Duijn CM, Little J, Khoury MJ, Grp G. Strengthening the reporting of genetic risk prediction studies: the GRIPS statement. Eur J Epidemiol. 2011;26(4):255–9.

    PubMed  Google Scholar 

  331. Liu GF, Zhu HD, Dong YB, Podolsky RH, Treiber FA, Snieder H. Influence of common variants in FTO and near INSIG2 and MC4R on growth curves for adiposity in African- and European-American youth. Eur J Epidemiol. 2011;26(6):463–73.

    PubMed  Google Scholar 

  332. Ding B, Kallberg H, Klareskog L, Padyukov L, Alfredsson L. GEIRA: gene-environment and gene–gene interaction research application. Eur J Epidemiol. 2011;26(7):557–61.

    PubMed  CAS  Google Scholar 

  333. Pedersen GS, Mortensen LH, Andersen AMN. Ethnic variations in mortality in pre-school children in Denmark, 1973–2004. Eur J Epidemiol. 2011;26(7):527–36.

    PubMed  Google Scholar 

  334. Gallo V, Egger M, McCormack V, Farmer PB, Ioannidis JPA, Kirsch-Volders M, et al. STrengthening the reporting of OBservational studies in Epidemiology-Molecular Epidemiology (STROBE-ME): an extension of the STROBE statement. Eur J Epidemiol. 2011;26(10):797–810.

    PubMed  Google Scholar 

  335. Lin YL, Chen SY, Lai LC, Chen JH, Yang SY, Huang YL, et al. Genetic polymorphisms of clusterin gene are associated with a decreased risk of Alzheimer’s disease. Eur J Epidemiol. 2012;27(1):73–5.

    Google Scholar 

  336. Johnson PCD, Logue J, McConnachie A, Abu-Rmeileh NME, Hart C, Upton MN, et al. Intergenerational change and familial aggregation of body mass index. Eur J Epidemiol. 2012;27(1):53–61.

    PubMed  Google Scholar 

  337. Gallo V, Egger M, McCormack V, Farmer PB, Ioannidis JPA, Kirsch-Volders M, et al. STrengthening the reporting of OBservational studies in Epidemiology-Molecular Epidemiology (STROBE-ME): an extension of the STROBE statement (vol 26, pg 797, 2011). Eur J Epidemiol. 2012;27(2):151.

    Google Scholar 

  338. Schelzke G, Kretzschmar HA, Zerr I. Clinical aspects of common genetic Creutzfeldt-Jakob disease. Eur J Epidemiol. 2012;27(2):147–9.

    PubMed  Google Scholar 

  339. Costanza MC, Beer-Borst S, James RW, Gaspoz JM, Morabia A. Consistency between cross-sectional and longitudinal SNP: blood lipid associationss. Eur J Epidemiol. 2012;27(2):131–8.

    PubMed  Google Scholar 

  340. Ken-Dror G, Humphries SE, Kumari M, Kivimaki M, Drenos F. A genetic instrument for Mendelian randomization of fibrinogen. Eur J Epidemiol. 2012;27(4):267–79.

    PubMed  CAS  Google Scholar 

  341. Nan C, Guo BL, Warner C, Fowler T, Barrett T, Boomsma D, et al. Heritability of body mass index in pre-adolescence, young adulthood and late adulthood. Eur J Epidemiol. 2012;27(4):247–53.

    PubMed  Google Scholar 

  342. Chen YC, Chen SY, Lai LC, Chen JH. Clusterin polymorphisms and Alzheimer’s disease Reply. Eur J Epidemiol. 2012;27(9):758.

    Google Scholar 

  343. Yu JT, Tan L. Clusterin polymorphisms and Alzheimer’s disease. Eur J Epidemiol. 2012;27(9):757.

    Google Scholar 

  344. Jansen L, Gondos A, Eberle A, Emrich K, Holleczek B, Katalinic A, et al. Cancer survival in Eastern and Western Germany after the fall of the iron curtain. Eur J Epidemiol. 2012;27(9):689–93.

    PubMed  Google Scholar 

  345. Strandberg TE, Strandberg AY, Saijonmaa O, Tilvis RS, Pitkala KH, Fyhrquist F. Association between alcohol consumption in healthy midlife and telomere length in older men. The Helsinki Businessmen Study. Eur J Epidemiol. 2012;27(10):815–22.

    PubMed  Google Scholar 

  346. Van Calster B, Vergouwe Y, Looman CWN, Van Belle V, Timmerman D, Steyerberg EW. Assessing the discriminative ability of risk models for more than two outcome categories. Eur J Epidemiol. 2012;27(10):761–70.

    PubMed  Google Scholar 

  347. Panagopoulou P, Gogas H, Dessypris N, Maniadakis N, Fountzilas G, Petridou ET. Survival from breast cancer in relation to access to tertiary healthcare, body mass index, tumor characteristics and treatment: a Hellenic Cooperative Oncology Group (HeCOG) study. Eur J Epidemiol. 2012;27(11):857–66.

    PubMed  Google Scholar 

  348. Spallek J, Arnold M, Razum O, Juel K, Rey G, Deboosere P, et al. Cancer mortality patterns among Turkish immigrants in four European countries and in Turkey. Eur J Epidemiol. 2012;27(12):915–21.

    PubMed  Google Scholar 

  349. Ekberg S, Ploner A, de Faire U, Pedersen NL, Bennet AM. Familial effects on survival after myocardial infarction: a registry-based sib-pair study. Eur J Epidemiol. 2012;27(12):911–4.

    PubMed  Google Scholar 

  350. Avery CL, Sitlani CM, Arking DE, Arnett DK, Bis JC, Boerwinkle E, et al. Drug-gene interactions and the search for missing heritability: a cross-sectional pharmacogenomics study of the QT interval. Pharmacogenomics J. 2013.

  351. Teichert M, Eijgelsheim M, Rivadeneira F, Uitterlinden AG, van Schaik RH, Hofman A, et al. A genome-wide association study of acenocoumarol maintenance dosage. Hum Mol Genet. 2009;18:3758–68.

    PubMed  CAS  Google Scholar 

  352. Teichert M, Eijgelsheim M, Uitterlinden AG, Buhre PN, Hofman A, De Smet PA, et al. Dependency of phenprocoumon dosage on polymorphisms in the VKORC1, CYP2C9, and CYP4F2 genes. Pharmacogenet Genomics. 2011;21:26–34.

    PubMed  CAS  Google Scholar 

  353. Danese E, Montagnana M, Johnson JA, Rettie AE, Zambon CF, Lubitz SA, et al. Impact of the CYP4F2 p. V433 M polymorphism on coumarin dose requirement: systematic review and meta-analysis. Clin Pharmacol Ther. 2012;92:746–56.

    PubMed  CAS  Google Scholar 

  354. van Schie RM, Wessels JA, Verhoef TI, Schalekamp T, le Cessie S, van der Meer FJ, et al. Evaluation of the effect of genetic variations in GATA-4 on the phenprocoumon and acenocoumarol maintenance dose. Pharmacogenomics. 2012;13:1917–23.

    PubMed  Google Scholar 

  355. Teichert M, Visser LE, Uitterlinden AG, Hofman A, Buhre PJ, Straus S, et al. Selective serotonin re-uptake inhibiting antidepressants and the risk of overanticoagulation during acenocoumarol maintenance treatment. Br J Clin Pharmacol. 2011;72:798–805.

    PubMed  CAS  Google Scholar 

  356. Teichert M, van Noord C, Uitterlinden AG, Hofman A, Buhre PN, De Smet PA, et al. Proton pump inhibitors and the risk of overanticoagulation during acenocoumarol maintenance treatment. Br J Haematol. 2011;153:379–85.

    PubMed  Google Scholar 

  357. Becker ML, Visser LE, van Schaik RH, Hofman A, Uitterlinden AG, Stricker BH. Interaction between polymorphisms in the OCT1 and MATE1 transporter and metformin response. Pharmacogenet Genomics. 2010;20:38–44.

    PubMed  CAS  Google Scholar 

  358. Becker ML, Visser LE, van Schaik RH, Hofman A, Uitterlinden AG, Stricker BH. Genetic variation in the multidrug and toxin extrusion 1 transporter protein influences the glucose-lowering effect of metformin in patients with diabetes: a preliminary study. Diabetes. 2009;58:745–9.

    PubMed  CAS  Google Scholar 

  359. Becker ML, Visser LE, van Schaik RH, Hofman A, Uitterlinden AG, Stricker BH. Genetic variation in the organic cation transporter 1 is associated with metformin response in patients with diabetes mellitus. Pharmacogenomics J. 2009;9:242–7.

    PubMed  CAS  Google Scholar 

  360. van Leeuwen N, Nijpels G, Becker ML, Deshmukh H, Zhou K, Stricker BH, et al. A gene variant near ATM is significantly associated with metformin treatment response in type 2 diabetes: a replication and meta-analysis of five cohorts. Diabetologia. 2012;55:1971–7.

    PubMed  CAS  Google Scholar 

  361. Becker ML, Elens LL, Visser LE, Hofman A, Uitterlinden AG, van Schaik RH, et al. Genetic variation in the ABCC2 gene is associated with dose decreases or switches to other cholesterol-lowering drugs during simvastatin and atorvastatin therapy. Pharmacogenomics J. 2013;13:251–6.

    PubMed  CAS  Google Scholar 

  362. Rodenburg EM, Eijgelsheim M, Geleijnse JM, Amin N, van Duijn CM, Hofman A, et al. CYP1A2 and coffee intake and the modifying effect of sex, age, and smoking. Am J Clin Nutr. 2012;96:182–7.

    PubMed  CAS  Google Scholar 

  363. Ruiter R, Visser LE, Rodenburg EM, Trifirò G, Ziere G, Stricker BH. Adverse drug reaction-related hospitalizations in persons aged 55 years and over: a population-based study in the Netherlands. Drugs Aging. 2012;29:225–32.

    PubMed  Google Scholar 

  364. Liamis G, Rodenburg EM, Hofman A, Zietse R, Stricker BH, Hoorn EJ. Electrolyte disorders in community subjects: prevalence and risk factors. Am J Med. 2013;126:256–63.

    PubMed  CAS  Google Scholar 

  365. Rodenburg EM, Hoorn EJ, Ruiter R, Lous JJ, Hofman A, Uitterlinden AG, et al. Thiazide-associated hyponatremia: a population-based study.

  366. Schoofs MW, van der Klift M, Hofman A, de Laet CE, Herings RM, Stijnen T, et al. Thiazide diuretics and the risk for hip fracture. Ann Intern Med. 2003;139:476–82.

    PubMed  Google Scholar 

  367. Ruiter R, Oei L, Visser LE, Peltenburg HG, Hofman A, Zillikens MC, et al. The effect of thiazide and loop diuretics on urinary levels of free deoxypyridinoline: an osteoclastic bone-resorption marker. J Clin Pharm Ther. 2013;38:225–9.

    PubMed  CAS  Google Scholar 

  368. Marcus MW, Müskens RP, Ramdas WD, Wolfs RC, De Jong PT, Vingerling JR, et al. Corticosteroids and open-angle glaucoma in the elderly: a population-based cohort study. Drugs Aging. 2012;29:963–70.

    PubMed  CAS  Google Scholar 

  369. Marcus MW, Müskens RP, Ramdas WD, Wolfs RC, de Jong PT, Vingerling JR, et al. Antithrombotic medication and incident open-angle glaucoma. Invest Ophthalmol Vis Sci. 2012;53:3801–5.

    PubMed  CAS  Google Scholar 

  370. Marcus MW, Müskens RP, Ramdas WD, Wolfs RC, De Jong PT, Vingerling JR, et al. Cholesterol-lowering drugs and incident open-angle glaucoma: a population-based cohort study. PLoS ONE. 2012;7:e29724.

    PubMed  CAS  Google Scholar 

  371. Clockaerts S, Van Osch GJ, Bastiaansen-Jenniskens YM, Verhaar JA, Van Glabbeek F, Van Meurs JB, et al. Statin use is associated with reduced incidence and progression of knee osteoarthritis in the Rotterdam study. Ann Rheum Dis. 2012;71:642–7.

    PubMed  CAS  Google Scholar 

  372. Lahousse L, Loth DW, Joos GF, Hofman A, Leufkens HG, Brusselle GG, et al. Statins, systemic inflammation and risk of death in COPD: the Rotterdam study. Pulm Pharmacol Ther. 2013;26:212–7.

    PubMed  CAS  Google Scholar 

  373. Stricker BH, Stijnen T. Analysis of individual drug use as a time-varying determinant of exposure in prospective population-based cohort studies. Eur J Epidemiol. 2010;25:245–51.

    PubMed  Google Scholar 

  374. Cole SR, Hernán MA. Constructing inverse probability weights for marginal structural models. Am J Epidemiol. 2008;168:656–64.

    PubMed  Google Scholar 

  375. Chain A, Dieleman J, van Noord C, Hofman A, Stricker B, Danhof M, et al. Not-in-trial simulation I: bridging cardiovascular risk from clinical trials to real life conditions. Br J Clin Pharmacol. 2013.

  376. Dominioni L, Poli A, Mantovani W, Rotolo N, Imperatori A. Volunteer effect and compromised randomization in the Mayo Project of screening for lung cancer. Eur J Epidemiol. 2011;26(1):79–80.

    PubMed  Google Scholar 

  377. Knol MJ, VanderWeele TJ, Groenwold RHH, Klungel OH, Rovers MM, Grobbee DE. Estimating measures of interaction on an additive scale for preventive exposures. Eur J Epidemiol. 2011;26(6):433–8.

    PubMed  Google Scholar 

  378. Groenwold RHH, Klungel OH, Grobbee DE, Hoes AW. Selection of confounding variables should not be based on observed associations with exposure. Eur J Epidemiol. 2011;26(8):589–93.

    PubMed  Google Scholar 

  379. Adami HO, Lagiou P, Trichopoulos D. Breast cancer following diethylstilbestrol exposure in utero: insights from a tragedy. Eur J Epidemiol. 2012;27(1):1–3.

    PubMed  CAS  Google Scholar 

  380. Platt RW, Delaney JAC, Suissa S. The positivity assumption and marginal structural models: the example of warfarin use and risk of bleeding. Eur J Epidemiol. 2012;27(2):77–83.

    PubMed  CAS  Google Scholar 

  381. Adami HO, Lagiou P, Trichopoulos D. Breast cancer following diethylstilbestrol exposure in utero: a tragedy? Reply. Eur J Epidemiol. 2012;27(4):318.

    Google Scholar 

  382. Bluming AZ. Breast cancer following diethylstilbestrol exposure in utero: a tragedy? Eur J Epidemiol. 2012;27(4):317–8.

    Google Scholar 

  383. Tournaire M, Devouche E, Epelboin S, Cabau A. Diethylstilbestrol exposure: evaluation of the doses received in France. Eur J Epidemiol. 2012;27(4):315–6.

    PubMed  Google Scholar 

  384. Ravera S, van Rein N, de Gier JJ, de Jong-van den Berg LTW. A comparison of pharmacoepidemiological study designs in medication use and traffic safety research. Eur J Epidemiol. 2012;27(6):473–81.

    Google Scholar 

  385. Morois S, Fournier A, Clavel-Chapelon F, Mesrine S, Boutron-Ruault MC. Menopausal hormone therapy and risks of colorectal adenomas and cancers in the French E3 N prospective cohort: true associations or bias? Eur J Epidemiol. 2012;27(6):439–52.

    PubMed  CAS  Google Scholar 

  386. Keogh RH, Park JY, White IR, Lentjes MAH, McTaggart A, Bhaniani A, et al. Estimating the alcohol-breast cancer association: a comparison of diet diaries, FFQs and combined measurements. Eur J Epidemiol. 2012;27(7):547–59.

    PubMed  Google Scholar 

  387. Heuvers ME, Wisnivesky J, Stricker BH, Aerts JG. Generalizability of results from the national lung screening trial. Eur J Epidemiol. 2012;27(9):669–72.

    PubMed  Google Scholar 

  388. Chiolero A, Santschi V, Burnand B, Platt RW, Paradis G. Meta-analyses: with confidence or prediction intervals? Eur J Epidemiol. 2012;27(10):823–5.

    PubMed  Google Scholar 

  389. Million M, Raoult D. Publication biases in probiotics. Eur J Epidemiol. 2012;27(11):885–6.

    PubMed  Google Scholar 

  390. Lytsy P, Berglund L, Sundstrom J. A proposal for an additional clinical trial outcome measure assessing preventive effect as delay of events. Eur J Epidemiol. 2012;27(12):903–9.

    PubMed  Google Scholar 

  391. Vrooman HA, Cocosco CA, van der Lijn F, et al. Multi-spectral brain tissue segmentation using automatically trained k-nearest-neighbor classification. NeuroImage. 2007;37(1):71–81.

    PubMed  Google Scholar 

  392. van der Lijn F, den Heijer T, Breteler MMB, Niessen WJ. Hippocampus segmentation in MR images using atlas registration, voxel classification, and graph cuts. NeuroImage. 2008;43(4):708–20.

    PubMed  Google Scholar 

  393. Heijer T den, Lijn F van der, Koudstaal PJ, et al. A 10-year follow-up of hippocampal volume on magnetic resonance imaging in early dementia and cognitive decline. Brain. 2010;6.

  394. Vernooij MW, van der Lugt A, Ikram MA, et al. Total cerebral blood flow and total brain perfusion in the general population: the Rotterdam Scan Study. J Cereb Blood Flow Metab Off J Int Soc Cereb Blood Flow Metab. 2008;28(2):412–9.

    Google Scholar 

  395. Poels MMF, Ikram MA, Vernooij MW, et al. Total cerebral blood flow in relation to cognitive function: the Rotterdam Scan Study. J Cereb Blood Flow Metab Off J Int Soc Cereb Blood Flow Metab. 2008;28(10):1652–5.

    Google Scholar 

  396. Vernooij MW, Ikram MA, Wielopolski PA, et al. Cerebral microbleeds: accelerated 3D T2*-weighted GRE MR imaging versus conventional 2D T2*-weighted GRE MR imaging for detection. Radiology. 2008;248(1):272–7.

    PubMed  Google Scholar 

  397. Poels MMF, Vernooij MW, Ikram MA, et al. Prevalence and risk factors of cerebral microbleeds: an update of the Rotterdam scan study. Stroke J Cereb Circ. 2010;41(10 Suppl):S103–6.

    Google Scholar 

  398. Vernooij MW, van der Lugt A, Ikram MA, et al. Prevalence and risk factors of cerebral microbleeds: the Rotterdam scan study. Neurology. 2008;70:1208–14.

    PubMed  CAS  Google Scholar 

  399. Poels MMF, Ikram MA, Lugt A van der, et al. Incidence of Cerebral Microbleeds in the General Population: The Rotterdam Scan Study. Stroke J Cereb Circ. 2011.

  400. Vernooij MW, Haag MDM, van der Lugt A, et al. Use of antithrombotic drugs and the presence of cerebral microbleeds: the Rotterdam Scan Study. Arch Neurol. 2009;66(6):714–20.

    PubMed  Google Scholar 

  401. Lovelock CE, Cordonnier C, Naka H, et al. Antithrombotic drug use, cerebral microbleeds, and intracerebral hemorrhage: a systematic review of published and unpublished studies. Stroke J Cereb Circ. 2010;41(6):1222–8.

    CAS  Google Scholar 

  402. Vernooij MW, de Groot M, van der Lugt A, et al. White matter atrophy and lesion formation explain the loss of structural integrity of white matter in aging. NeuroImage. 2008;43(3):470–7.

    PubMed  CAS  Google Scholar 

  403. Vernooij MW, Ikram MA, Vrooman HA, et al. White matter microstructural integrity and cognitive function in a general elderly population. Archiv Gen Psychiatry. 2009;66(5):545–53.

    Google Scholar 

  404. de Groot M, Vernooij MW, Klein S, Ikram MA, Vos FM, Smith SM, et al. Improving alignment in tract-based spatial statistics: evaluation and optimization of image registration. Neuroimage. 2013;1(76):400–11.

    Google Scholar 

  405. Agatston AS, Janowitz WR, Hildner FJ, et al. Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol. 1990;15(4):827–32.

    PubMed  CAS  Google Scholar 

  406. Odink AE, Lugt AVD, Hofman A, et al. Association between calcification in the coronary arteries, aortic arch and carotid arteries: the Rotterdam study. Current. 2007;193:408–13.

    CAS  Google Scholar 

  407. Odink AE, Lugt AVD, Hofman A, et al. Risk factors for coronary, aortic arch and carotid calcification; the Rotterdam Study. J Hum Hypertens. 2009;24(2):86–92.

    PubMed  Google Scholar 

  408. Elias-Smale SE, Odink AE, Wieberdink RG, et al. Carotid, aortic arch and coronary calcification are related to history of stroke: the Rotterdam Study. Atherosclerosis. 2010;212(2):656–60.

    PubMed  CAS  Google Scholar 

  409. Takaya N, Yuan C, Chu B, et al. Association between carotid plaque characteristics and subsequent ischemic cerebrovascular events: a prospective assessment with MRI—initial results. Stroke J Cereb Circ. 2006;37(3):818–23.

    Google Scholar 

  410. Yuan C, Mitsumori LM, Ferguson MS, et al. In vivo accuracy of multispectral magnetic resonance imaging for identifying lipid-rich necrotic cores and intraplaque hemorrhage in advanced human carotid plaques. Circulation. 2001;104(17):2051–6.

    PubMed  CAS  Google Scholar 

  411. No authors listed. North American Symptomatic Carotid Endarterectomy Trial. Methods, patient characteristics, and progress. Stroke J Cereb Circ. 1991;22(6):711–20.

    Google Scholar 

  412. Krille L, Jahnen A, Mildenberger P, Schneider K, Weisser G, Zeeb H, et al. Computed tomography in children: multicenter cohort study design for the evaluation of cancer risk. Eur J Epidemiol. 2011;26(3):249–50.

    PubMed  CAS  Google Scholar 

  413. Gaillard R, de Ridder MAJ, Verburg BO, Witteman JCM, Mackenbach JP, Moll HA, et al. Individually customised fetal weight charts derived from ultrasound measurements: the Generation R Study. Eur J Epidemiol. 2011;26(12):919–26.

    PubMed  Google Scholar 

  414. Gaensbacher S, Waldhoer T, Berzlanovich A. The slow death of autopsies: a retrospective analysis of the autopsy prevalence rate in Austria from 1990 to 2009. Eur J Epidemiol. 2012;27(7):577–80.

    PubMed  Google Scholar 

  415. Gudmundsson EF, Gudnason V, Sigurdsson S, Launer LJ, Harris TB, Aspelund T. Coronary artery calcium distributions in older persons in the AGES-Reykjavik study. Eur J Epidemiol. 2012;27(9):673–87.

    PubMed  CAS  Google Scholar 

  416. Smits C, Kapteyn TS, Houtgast T. Development and validation of an automatic speech-in-noise screening test by telephone. Int J Audiol. 2004;43(1):15–28.

    PubMed  Google Scholar 

  417. Weber KP. Head impulse test in unilateral vestibular loss. Neurology. 2008;454–463.

  418. Cox RM, Alexander GC. The International Outcome Inventory for Hearing Aids (IOI-HA): psychometric properties of the English vesion. Int J Audiol. 2002;41(1):30–5.

    PubMed  Google Scholar 

  419. Newman CW, Sandridge SA, Bolek L. Development and psychometric adequacy of the screening version of the tinnitus handicap inventory. Otol Neurotol. 2008;29:276–81.

    PubMed  Google Scholar 

Download references

Acknowledgments

The Rotterdam Study is supported by the Erasmus MC University Medical Center and Erasmus University Rotterdam; The Netherlands Organisation for Scientific Research (NWO); The Netherlands Organisation for Health Research and Development (ZonMw); the Research Institute for Diseases in the Elderly (RIDE); The Netherlands Genomics Initiative (NGI); the Ministry of Education, Culture and Science; the Ministry of Health, Welfare and Sports; the European Commission (DG XII); and the Municipality of Rotterdam. The contribution of inhabitants, general practitioners and pharmacists of the Ommoord district to the Rotterdam Study is gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Albert Hofman.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hofman, A., Murad, S.D., van Duijn, C.M. et al. The Rotterdam Study: 2014 objectives and design update. Eur J Epidemiol 28, 889–926 (2013). https://doi.org/10.1007/s10654-013-9866-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10654-013-9866-z

Keywords

Navigation