The DOI matches its Crossref record; 473 of the 473 references it cites were found in a registry or an index.
The Rotterdam Study: 2018 update on objectives, design and main results
Open accessAbstract
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, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. Since 2016, the cohort is being expanded by persons aged 40 years and over. The findings of the Rotterdam Study have been presented in over 1500 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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A standard procedure for creating a frailty index
Searle, S. D., Mitnitski, A., Gahbauer, E. A., Gill, T. M., & Rockwood, K. (2008) · BMC Geriatrics · doi:10.1186/1471-2318-8-24 · Cited by 3,568
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations
Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C., Goodman, S. N., & Altman, D. G. (2016) · European Journal of Epidemiology · doi:10.1007/s10654-016-0149-3 · Cited by 3,200
Accumulation of Deficits as a Proxy Measure of Aging
Mitnitski, A. B., Mogilner, A. J., & Rockwood, K. (2001) · The Scientific World JOURNAL · doi:10.1100/tsw.2001.58 · Cited by 2,893 · cited 1×
“health deficits, which can include an unspecified number of symptoms, diseases, laboratory measurements or disabilities, as long as they are health and age related [141].”
BackgroundBroken Limits to Life Expectancy
Oeppen, J., & Vaupel, J. W. (2002) · Science · doi:10.1126/science.1069675 · Cited by 2,819
Transient elastography: a new noninvasive method for assessment of hepatic fibrosis
Sandrin, L., Fourquet, B., Hasquenoph, J.-M., Yon, S., Fournier, C., Mal, F., Christidis, C., Ziol, M., Poulet, B., Kazemi, F., et al. (2003) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2003.07.001 · Cited by 2,738
Bots, M. L., Hoes, A. W., Koudstaal, P. J., Hofman, A., & Grobbee, D. E. (1997) · Circulation · doi:10.1161/01.cir.96.5.1432 · Cited by 2,345
Self-citationHuman Fatty Liver Disease: Old Questions and New Insights
Cohen, J. C., Horton, J. D., & Hobbs, H. H. (2011) · Science · doi:10.1126/science.1204265 · Cited by 2,089 · cited 1×
“It is estimated that about 25% progress to NASH and more severe stages thereafter [222].”
BackgroundGenetic variants in novel pathways influence blood pressure and cardiovascular disease risk
The International Consortium for Blood Pressure Genome-Wide Association Studies (2011) · Nature · doi:10.1038/nature10405 · Cited by 2,033
Prevalence, incidence and lifetime risk of atrial fibrillation: the Rotterdam study
Heeringa, J., van der Kuip, D. A. M., Hofman, A., Kors, J. A., van Herpen, G., Stricker, B. H. C., Stijnen, T., Lip, G. Y. H., & Witteman, J. C. M. (2006) · European Heart Journal · doi:10.1093/eurheartj/ehi825 · Cited by 1,939
Self-citationArterial Stiffness and Risk of Coronary Heart Disease and Stroke: The Rotterdam Study
Mattace-Raso, F. U. S., van der Cammen, T. J. M., Hofman, A., van Popele, N. M., Bos, M. L., Schalekamp, M. A. D. H., Asmar, R., Reneman, R. S., Hoeks, A. P. G., Breteler, M. M. B., et al. (2006) · Circulation · doi:10.1161/circulationaha.105.555235 · Cited by 1,914
Research works printed but not linked: 21
- Mohner M. The hidden impact of a healthy-worker effect on the results of the Diesel Exhaust in Miners Study. Eur J Epidemiol. 2016;31(8):803–4. · doi:10.1007/s10654-016-0161-7
- Bos D, Vernooij MW, Shahzad R, Kavousi M, Hofman A, van Walsum T, et al. Epicardial fat volume and the risk of atrial fibrillation in the general population free of cardiovascular disease. JACC Cardiovasc Imaging 2017. doi: 10.1016/j.jcmg.2016.12.005 . · doi:10.1016/j.jcmg.2016.12.005
- Dhana K, Berghout MA, Peeters A, Ikram MA, Tiemeier H, Hofman A, et al. Obesity in older adults and life expectancy with and without cardiovascular disease. Int J Obes. 2016;40(10):1535–40. · DOI
- de Vries PS, van Herpt TT, Ligthart S, Hofman A, Ikram MA, van Hoek M, et al. ADAMTS13 activity as a novel risk factor for incident type 2 diabetes mellitus: a population-based cohort study. Diabetologia. 2017;60(2):280–6. · doi:10.1007/s00125-016-4139-5
- de Jonge EA, Kiefte-de Jong JC, Hofman A, Uitterlinden AG, Kieboom BC, Voortman T, et al. Dietary patterns explaining differences in bone mineral density and hip structure in the elderly: the Rotterdam Study. Am J Clin Nutr. 2017;105(1):203–11. · doi:10.3945/ajcn.116.139196
- Verkouteren JA, Pardo LM, Uitterlinden AG, Hofman A, Nijsten T. Common variants affecting susceptibility to develop multiple basal cell carcinomas. J Investig Dermatol. 2015;135(8):2135–8. · doi:10.1038/jid.2015.113
- Muka T, de Jonge EA, Kiefte-de Jong JC, Uitterlinden AG, Hofman A, Dehghan A, et al. The influence of serum uric acid on bone mineral density, hip geometry, and fracture risk: the Rotterdam Study. J Clin Endocrinol Metab. 2016;101(3):1113–22. · doi:10.1210/jc.2015-2446
- de Jonge EA, Kiefte-de Jong JC, de Groot LC, Voortman T, Schoufour JD, Zillikens MC, et al. Development of a food group-based diet score and its association with bone mineral density in the elderly: the Rotterdam Study. Nutrients. 2015;7(8):6974–90. · doi:10.3390/nu7085317
- Bergink AP, Zillikens MC, Van Leeuwen JP, Hofman A, Uitterlinden AG, van Meurs JB. 25-Hydroxyvitamin D and osteoarthritis: a meta-analysis including new data. Semin Arthritis Rheum. 2016;45(5):539–46. · doi:10.1016/j.semarthrit.2015.09.010
- Hoeven TA, Kavousi M, Ikram MA, van Meurs JB, Bindels PJ, Hofman A, et al. Markers of atherosclerosis in relation to presence and progression of knee osteoarthritis: a population-based cohort study. Rheumatology (Oxford). 2015;54(9):1692–8. · doi:10.1093/rheumatology/kev106
- Plompen EP, Hansen BE, Schouten JN, Darwish Murad S, Loth DW, Brouwer WP, et al. Interferon gamma receptor 2 gene variants are associated with liver fibrosis in the general population: the Rotterdam Study. Gut. 2015;64(4):692–4. · doi:10.1136/gutjnl-2014-308398
- 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. · DOI
- Mutlu U, Ikram MA, Hofman A, de Jong PT, Klaver CC, Ikram MK. N-terminal Pro-B-type natriuretic peptide is related to retinal microvascular damage: the Rotterdam Study. Arterioscler Thromb Vasc Biol. 2016;36(8):1698–702. · doi:10.1161/atvbaha.116.307545
- Bianchi M, Clavenna A, Piovani D, Bonati M. In Italy anti-asthmatic drug prescription is not always a reliable proxy of asthma. Eur J Epidemiol. 2016;31(5):531–2. · doi:10.1007/s10654-016-0146-6
- Sevelsted A, Pipper CB, Bisgaard H. Stable admission rate for acute asthma in Danish children since 1977. Eur J Epidemiol. 2016;31(3):325–9. · doi:10.1007/s10654-015-0078-6
- Morris JA, Tsai PC, Joehanes R, Zheng J, Trajanoska K, Soerensen M, et al. Epigenome-wide association of DNA methylation in whole blood with bone mineral density. J Bone Miner Res. 2017;32(8):1644–50. · DOI
- Niemeijer MN, van den Berg ME, Deckers JW, Aarnoudse AL, Hofman A, Franco OH, et al. ABCB1 gene variants, digoxin and risk of sudden cardiac death in a general population. Heart. 2015;101(24):1973–9. · doi:10.1136/heartjnl-2014-307419
- Noordam R, Aarts N, Tiemeier H, Hofman A, Stricker BH, Visser LE. Sex-specific association between antidepressant use and body weight in a population-based study in older adults. J Clin Psychiatry. 2015;76(6):e745–51. · doi:10.4088/jcp.13m08896
- Olsen J. Some options in studying side effects of drugs taken during pregnancy. Eur J Epidemiol. 2015;30(11):1137–9. · doi:10.1007/s10654-015-0110-x
- Selwaness M, Hameeteman R, Van ‘t Klooster R, Van den Bouwhuijsen Q, Hofman A, Franco OH, et al. Determinants of carotid atherosclerotic plaque burden in a stroke-free population. Atherosclerosis. 2016;255:186–92. · doi:10.1016/j.atherosclerosis.2016.10.030
- Serra-Majem L. Head and neck cancer: smoking, drinking, eating andaEuro broken vertical bar sexual practices. Eur J Epidemiol. 2016;31(4):333–5. · doi:10.1007/s10654-016-0143-9
Cited by
Objectives, design and main findings until 2020 from the Rotterdam Study
Ikram, M. A., Brusselle, G., Ghanbari, M., Goedegebure, A., Ikram, M. K., Kavousi, M., Kieboom, B. C. T., Klaver, C. C. W., de Knegt, R. J., Luik, A. I., et al. (2020) · European Journal of Epidemiology · doi:10.1007/s10654-020-00640-5 · Cited by 452
Self-citationGut microbiome-wide association study of depressive symptoms
Radjabzadeh, D., Bosch, J. A., Uitterlinden, A. G., Zwinderman, A. H., Ikram, M. A., van Meurs, J. B. J., Luik, A. I., Nieuwdorp, M., Lok, A., van Duijn, C. M., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34502-3 · Cited by 434
Self-citationMetabolomic profiles predict individual multidisease outcomes
Buergel, T., Steinfeldt, J., Ruyoga, G., Pietzner, M., Bizzarri, D., Vojinovic, D., Upmeier zu Belzen, J., Loock, L., Kittner, P., Christmann, L., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01980-3 · Cited by 406
Self-citationDing, J., Davis-Plourde, K. L., Sedaghat, S., Tully, P. J., Wang, W., Phillips, C., Pase, M. P., Himali, J. J., Gwen Windham, B., Griswold, M., et al. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(19)30393-x · Cited by 312
Self-citationHuman ACE2 receptor polymorphisms and altered susceptibility to SARS-CoV-2
Suryamohan, K., Diwanji, D., Stawiski, E. W., Gupta, R., Miersch, S., Liu, J., Chen, C., Jiang, Y.-P., Fellouse, F. A., Sathirapongsasuti, J. F., et al. (2021) · Communications Biology · doi:10.1038/s42003-021-02030-3 · Cited by 299
Metadata
- Authors
- Ikram, M. A., Brusselle, G. G. O., Murad, S. D., van Duijn, C. M., Franco, O. H., Goedegebure, A., Klaver, C. C. W., Nijsten, T. E. C., Peeters, R. P., Stricker, B. H., Tiemeier, H., Uitterlinden, A. G., Vernooij, M. W., & Hofman, A.
- Venue
- European Journal of Epidemiology
- Published
- 2017-09
- Volume
- 32
- Issue
- 9
- Pages
- 807-850
- ISSN
- 0393-2990 (ISSN-L)
- 1573-7284
- OpenAlex
- W2766195635
- Cited by
- 434
- References
- 473
- FWCI
- 44.39
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Licence
- creativecommons.org/licenses/by/4.0 (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Rotterdam Study: 2018 update on objectives, design and main results. https://app.cochat.ai/papers/10.1007/s10654-017-0321-4
- The paper
- Ikram, M. A., Brusselle, G. G. O., Murad, S. D., van Duijn, C. M., Franco, O. H., Goedegebure, A., Klaver, C. C. W., Nijsten, T. E. C., Peeters, R. P., Stricker, B. H., Tiemeier, H., Uitterlinden, A. G., Vernooij, M. W., & Hofman, A. (2017). The Rotterdam Study: 2018 update on objectives, design and main results. European Journal of Epidemiology. https://doi.org/10.1007/s10654-017-0321-4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
