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The Rotterdam Study: 2014 objectives and design update

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Hofman, Albert, Murad, Sarwa Darwish, van Duijn, Cornelia M., Franco, Oscar H., Goedegebure, André, Arfan Ikram, M., Klaver, Caroline C. W., Nijsten, Tamar E. C., Peeters, Robin P., Stricker, Bruno H. Ch., Tiemeier, Henning W., Uitterlinden, André G., Vernooij, Meike W.·2013·European Journal of Epidemiology

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  1. Oeppen J, Vaupel JW. Demography. Broken limits to life expectancy. Science. 2002;296(5570):1029–31. · DOI · Paper page
  2. Peto R, Doll R. There is no such thing as aging. BMJ. 1997;315(7115):1030–2. · DOI
  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. · DOI · Paper page
  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. · DOI · Paper page
  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. · DOI · Paper page
  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. · DOI · Paper page
  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. · DOI
  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. · DOI
  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. · DOI
  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. · DOI
  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. · DOI
  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. · DOI · Paper page
  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. · DOI
  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. · DOI
  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. · DOI
  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. · DOI
  17. Vernooij MW. Minimally invasive autopsy: the technological revival of autopsy? Eur J Epidemiol. 2012;27(7):487–8. · doi:10.1007/s10654-012-9716-4
  18. 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. · doi:10.1007/s10654-012-9739-x
  19. 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. · DOI · Paper page
  20. 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. · DOI
  21. 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. · DOI
  22. 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. · DOI
  23. 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. · DOI · Paper page
  24. 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. · DOI
  25. 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. · DOI
  26. 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. · DOI
  27. 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. · DOI
  28. 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. · DOI · Paper page
  29. 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. · DOI · Paper page
  30. 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. · DOI · Paper page
  31. 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. · DOI · Paper page
  32. 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. · DOI · Paper page
  33. 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. · DOI
  34. 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. · DOI
  35. 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. · DOI · Paper page
  36. 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. · DOI
  37. 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. · DOI
  38. 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. · DOI · Paper page
  39. 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. · DOI · Paper page
  40. 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. · DOI · Paper page
  41. 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. · DOI · Paper page
  42. 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. · DOI
  43. 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. · DOI
  44. 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. · DOI
  45. 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. · DOI · Paper page
  46. Psaty BM, Hofman A. Genome-wide association studies and large-scale collaborations in epidemiology. Eur J Epidemiol. 2010;25(8):525–9. · DOI
  47. 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. · DOI · Paper page
  48. 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. · DOI · Paper page
  49. 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. · DOI · Paper page
  50. 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. · DOI · Paper page
  51. 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. · DOI · Paper page
  52. 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. · DOI · Paper page
  53. 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. · DOI · Paper page
  54. 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. · DOI · Paper page
  55. 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. · DOI · Paper page
  56. 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. · DOI
  57. 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. · DOI · Paper page
  58. 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. · DOI · Paper page
  59. 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. · DOI
  60. 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. · DOI
  61. 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. · DOI
  62. 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. · DOI
  63. 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. · DOI
  64. 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. · DOI
  65. 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. · DOI
  66. 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. · DOI
  67. 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. · DOI · Paper page
  68. 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. · DOI · Paper page
  69. 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. · DOI
  70. 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. · DOI · Paper page
  71. 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.
  72. 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.
  73. 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. · DOI · Paper page
  74. 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. · DOI · Paper page
  75. 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. · DOI · Paper page
  76. 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. · DOI · Paper page
  77. 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. · DOI · Paper page
  78. 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. · DOI
  79. 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. · DOI
  80. 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. · DOI
  81. 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. · DOI · Paper page
  82. 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. · DOI
  83. 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. · DOI
  84. 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. · DOI
  85. 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. · DOI
  86. 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. · DOI
  87. 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. · DOI
  88. 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. · DOI
  89. 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. · DOI
  90. 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. · DOI
  91. 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. · DOI
  92. 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. · DOI
  93. 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. · DOI
  94. 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. · DOI
  95. 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. · DOI
  96. 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. · DOI
  97. 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. · DOI
  98. 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. · DOI
  99. 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. · DOI
  100. 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. · DOI
  101. 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. · doi:10.1007/s10654-011-9602-5
  102. 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. · DOI
  103. 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. · DOI
  104. 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. · DOI
  105. 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. · DOI · Paper page
  106. Thelle DS. Case fatality of acute myocardial infarction: an emerging gender gap. Eur J Epidemiol. 2011;26(11):829–31. · DOI
  107. 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. · DOI
  108. 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. · DOI
  109. 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. · DOI
  110. 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. · DOI
  111. 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. · DOI
  112. 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. · DOI
  113. Kuhntopf S, Tivig T. Early retirement and mortality in Germany. Eur J Epidemiol. 2012;27(2):85–9. · DOI
  114. 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. · DOI
  115. 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. · DOI
  116. 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. · DOI
  117. 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. · DOI
  118. 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. · DOI
  119. 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. · DOI
  120. 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. · DOI
  121. 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. · DOI
  122. 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. · DOI
  123. 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. · DOI
  124. 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. · DOI
  125. 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. · DOI
  126. 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. · DOI · Paper page
  127. 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. · DOI
  128. 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. · DOI
  129. 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. · DOI
  130. 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. · doi:10.1097/brs.0b013e31829ee8b7
  131. 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. · DOI · Paper page
  132. 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. · DOI
  133. 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. · DOI
  134. 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. · DOI · Paper page
  135. 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. · DOI · Paper page
  136. 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. · DOI · Paper page
  137. 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. · DOI
  138. 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. · DOI · Paper page
  139. 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. · DOI · Paper page
  140. 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. · DOI · Paper page
  141. 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. · DOI
  142. 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. · DOI
  143. 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. · DOI
  144. 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. · DOI
  145. 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. · DOI
  146. 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. · DOI
  147. 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. · DOI
  148. 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. · DOI
  149. 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. · DOI
  150. 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. · DOI
  151. 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. · DOI · Paper page
  152. 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. · DOI
  153. 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. · DOI · Paper page
  154. 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. · DOI
  155. 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. · DOI
  156. 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. · doi:10.1007/s10654-012-9710-x
  157. 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. · DOI
  158. 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. · DOI
  159. 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. · DOI
  160. 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. · DOI
  161. 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. · DOI · Paper page
  162. 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. · DOI · Paper page
  163. 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. · DOI · Paper page
  164. 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. · DOI
  165. 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. · DOI
  166. 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. · DOI
  167. 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. · DOI
  168. 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. · DOI · Paper page
  169. 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. · DOI · Paper page
  170. 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. · DOI · Paper page
  171. 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. · DOI · Paper page
  172. 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. · DOI · Paper page
  173. 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. · DOI · Paper page
  174. Ikram MA, Wieberdink RG, Koudstaal PJ. International epidemiology of intracerebral hemorrhage. Curr Atheroscler Rep. 2012;14(4):300–6. · DOI · Paper page
  175. 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. · DOI · Paper page
  176. 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. · DOI · Paper page
  177. 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. · DOI · Paper page
  178. 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. · DOI · Paper page
  179. 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. · DOI
  180. 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. · DOI
  181. 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. · DOI
  182. 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. · DOI · Paper page
  183. 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. · DOI
  184. 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. · DOI
  185. 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. · DOI
  186. 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. · DOI · Paper page
  187. 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. · DOI · Paper page
  188. 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. · DOI · Paper page
  189. 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. · DOI
  190. 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. · DOI · Paper page
  191. 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. · DOI
  192. 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. · DOI
  193. 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. · DOI · Paper page
  194. 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. · DOI · Paper page
  195. 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. · doi:10.1097/wad.0b013e31829344ed
  196. 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. · DOI · Paper page
  197. 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. · DOI
  198. 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. · DOI
  199. 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. · DOI
  200. 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. · DOI

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Metadata

Authors
Hofman, A., Murad, S. D., van Duijn, C. M., Franco, O. H., Goedegebure, A., Arfan Ikram, M., Klaver, C. C. W., Nijsten, T. E. C., Peeters, R. P., Stricker, B. H. C., Tiemeier, H. W., Uitterlinden, A. G., & Vernooij, M. W.
Venue
European Journal of Epidemiology
Published
2013-11
Volume
28
Issue
11
Pages
889-926
ISSN
  • 0393-2990 (ISSN-L)
  • 1573-7284
OpenAlex
W4211241626
Cited by
330
References
29
FWCI
44.07
Type
journal article
Language
en
Open access
green
Licence
www.springer.com/tdm (tdm)

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CoChat. (2026). Citation check: The Rotterdam Study: 2014 objectives and design update. https://app.cochat.ai/papers/10.1007/s10654-013-9866-z
The paper
Hofman, A., Murad, S. D., van Duijn, C. M., Franco, O. H., Goedegebure, A., Arfan Ikram, M., Klaver, C. C. W., Nijsten, T. E. C., Peeters, R. P., Stricker, B. H. C., Tiemeier, H. W., Uitterlinden, A. G., & Vernooij, M. W. (2013). The Rotterdam Study: 2014 objectives and design update. European Journal of Epidemiology. https://doi.org/10.1007/s10654-013-9866-z

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