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.

Aribas E, Roeters van Lennep JE, De Rijke YB, et al. Sex steroids and sex steroid-binding globulin levels amongst middle-aged and elderly men and women from general population. Eur J Clin Invest. 2022;52(12):e13866.

Aribas E, Kavousi M, Laven JSE, Ikram MA, Roeters van Lennep JE. Aging, Cardiovascular Risk, and SHBG Levels in Men and Women From the General Population. J Clin Endocrinol Metab. 2021;106(10):2890-900.

Aribas E, Ahmadizar F, Mutlu U, et al. Sex steroids and markers of micro- and macrovascular damage among women and men from the general population. Eur J Prev Cardiol. 2022;29(9):1322-30.

Meun C, Gunning MN, Louwers YV, et al. The cardiovascular risk profile of middle-aged women with polycystic ovary syndrome. Clin Endocrinol (Oxf). 2020;92(2):150-8.

Gunning MN, Meun C, van Rijn BB, et al. The cardiovascular risk profile of middle age women previously diagnosed with premature ovarian insufficiency: A case-control study. PLoS One. 2020;15(3):e0229576.

Tilly MJ, Lu Z, Geurts S, et al. Atrial fibrillation patterns and their cardiovascular risk profiles in the general population: the Rotterdam study. Clin Res Cardiol. 2023;112(6):736-46.

Lu Z, Tilly MJ, Geurts S, et al. Sex-specific anthropometric and blood pressure trajectories and risk of incident atrial fibrillation: the Rotterdam Study. Eur J Prev Cardiol. 2022;29(13):1744-55.

Lu Z, Geurts S, Arshi B, et al. Longitudinal Anthropometric Measures and Risk of New-Onset Atrial Fibrillation Among Community-Dwelling Men and Women. Mayo Clin Proc. 2022;97(8):1501-11. doi:S0025-6196(22)00058-1 [pii] https://doi.org/10.1016/j.mayocp.2021.12.018

Lu Z, Tilly MJ, Aribas E, et al. Imaging-based body fat depots and new-onset atrial fibrillation in general population: a prospective cohort study. BMC Med. 2022;20(1):317. doi:10.1186/s12916-022-02505-y [pii] 2505 [pii] https://doi.org/10.1186/s12916-022-02505-y

Geurts S, Brunborg C, Papageorgiou G, Ikram MA, Kavousi M. Subclinical Measures of Peripheral Atherosclerosis and the Risk of New-Onset Atrial Fibrillation in the General Population: the Rotterdam Study. J Am Heart Assoc. 2022;11(1):e023967.

van Kleef LA, Lu Z, Ikram MA, de Groot NMS, Kavousi M, de Knegt RJ. Liver stiffness not fatty liver disease is associated with atrial fibrillation: The Rotterdam study. J Hepatol. 2022;77(4):931-8.

Tilly MJ, Geurts S, Donkel SJ, et al. Immunothrombosis and new-onset atrial fibrillation in the general population: the Rotterdam Study. Clin Res Cardiol. 2022;111(1):96–104.

Roselli C, Chaffin MD, Weng LC, et al. Multi-ethnic genome-wide association study for atrial fibrillation. Nat Genet. 2018;50(9):1225-33.

Siland JE, Geelhoed B, Roselli C, et al. Resting heart rate and incident atrial fibrillation: A stratified Mendelian randomization in the AFGen consortium. PLoS One. 2022;17(5):e0268768.

Geurts S, van der Burgh AC, Bos MM, et al. Disentangling the association between kidney function and atrial fibrillation: a bidirectional Mendelian randomization study. Int J Cardiol. 2022;355:15–22.

van der Burgh AC, Geurts S, Ikram MA, Hoorn EJ, Kavousi M, Chaker L. Bidirectional Association Between Kidney Function and Atrial Fibrillation: A Population-Based Cohort Study. J Am Heart Assoc. 2022;11(10):e025303.

Geurts S, Tilly MJ, Arshi B, et al. Heart rate variability and atrial fibrillation in the general population: a longitudinal and Mendelian randomization study. Clin Res Cardiol. 2023;112(6):747-58.

Arshi B, van den Berge JC, van Dijk B, Deckers JW, Ikram MA, Kavousi M. Implications of the ACC/AHA risk score for prediction of heart failure: the Rotterdam Study. BMC Med. 2021;19(1):43.

Limpens MAM, Asllanaj E, Dommershuijsen LJ, et al. Healthy lifestyle in older adults and life expectancy with and without heart failure. Eur J Epidemiol. 2022;37(2):205-14.

Zhu F, Arshi B, Leening MJG, et al. Sex-specific added value of cardiac biomarkers for 10-year cardiovascular risk prediction. Eur J Prev Cardiol. 2022;29(11):1559-67.

Wolters FJ, Hilal S, Leening MJG, et al. Plasma amyloid-β40 in relation to subclinical atherosclerosis and cardiovascular disease: A population-based study. Atherosclerosis. 2022;348:44–50.

Zhu F, Wolters FJ, Yaqub A, et al. Plasma Amyloid-β in Relation to Cardiac Function and Risk of Heart Failure in General Population. JACC Heart Fail. 2023;11(1):93–102.

Arshi B, Geurts S, Tilly MJ, et al. Heart rate variability is associated with left ventricular systolic, diastolic function and incident heart failure in the general population. BMC Med. 2022;20(1):91.

Arshi B, Chen J, Ikram MA, Zillikens MC, Kavousi M. Advanced glycation end-products, cardiac function and heart failure in the general population: The Rotterdam Study. Diabetologia. 2023;66(3):472-81.

Arshi B, Aliahmad HA, Ikram MA, Bos D, Kavousi M. Epicardial Fat Volume, Cardiac Function, and Incident Heart Failure: The Rotterdam Study. J Am Heart Assoc. 2023;12(1):e026197.

van der Toorn JE, Rueda-Ochoa OL, van der Schaft N, et al. Arterial calcification at multiple sites: sex-specific cardiovascular risk profiles and mortality risk-the Rotterdam Study. BMC Med. 2020;18(1):263.

van der Toorn JE, Bos D, Arshi B, et al. Arterial calcification at different sites and prediction of atherosclerotic cardiovascular disease among women and men. Atherosclerosis. 2021;337:27–34.

Kaiser Y, Singh SS, Zheng KH, et al. Lipoprotein(a) is robustly associated with aortic valve calcium. Heart. 2021;107(17):1422-8.

Kaiser Y, van der Toorn JE, Singh SS, et al. Lipoprotein(a) is associated with the onset but not the progression of aortic valve calcification. Eur Heart J. 2022;43(39):3960-7. doi:6649081 [pii] ehac377 [pii] https://doi.org/10.1093/eurheartj/ehac377

Bos D, Arshi B, van den Bouwhuijsen QJA, et al. Atherosclerotic Carotid Plaque Composition and Incident Stroke and Coronary Events. J Am Coll Cardiol. 2021;77(11):1426-35.

van der Toorn JE, Bos D, Ikram MK, et al. Carotid Plaque Composition and Prediction of Incident Atherosclerotic Cardiovascular Disease. Circ Cardiovasc Imaging. 2022;15(3):e013602.

Mujaj B, Bos D, Kavousi M, et al. Serum insulin levels are associated with vulnerable plaque components in the carotid artery: the Rotterdam Study. Eur J Endocrinol. 2020;182(3):343-50.

Zhu F, Arshi B, Ikram MA, De Knegt RJ, Kavousi M. Sex-specific normal values and determinants of infrarenal abdominal aortic diameter among non-aneurysmal elderly population. Sci Rep. 2021;11(1):17762.

Bons LR, Rueda-Ochoa OL, El Ghoul K, et al. Sex-specific distributions and determinants of thoracic aortic diameters in the elderly. Heart. 2020;106(2):133-9.

Thijssen CGE, Mutluer FO, van der Toorn JE, et al. Longitudinal changes of thoracic aortic diameters in the general population aged 55 years or older. Heart. 2022.

Portilla-Fernandez E, Klarin D, Hwang SJ, et al. Genetic and clinical determinants of abdominal aortic diameter: genome-wide association studies, exome array data and Mendelian randomization study. Hum Mol Genet. 2022;31(20):3566-79.

Rueda-Ochoa OL, Bons LR, Zhu F, et al. Thoracic Aortic Diameter and Cardiovascular Events and Mortality among Women and Men. Radiology. 2022;304(1):208-15.

Ahmadizar F, Wang K, Aribas E, et al. Impaired fasting glucose, type 2 diabetes mellitus, and lifetime risk of cardiovascular disease among women and men: the Rotterdam Study. BMJ Open Diabetes Res Care. 2021;9(1).

van Herpt TTW, Ligthart S, Leening MJG, et al. Lifetime risk to progress from pre-diabetes to type 2 diabetes among women and men: comparison between American Diabetes Association and World Health Organization diagnostic criteria. BMJ Open Diabetes Res Care. 2020;8(2).

Ligthart S, Hasbani NR, Ahmadizar F, et al. Genetic susceptibility, obesity and lifetime risk of type 2 diabetes: The ARIC study and Rotterdam Study. Diabet Med. 2021;38(10):e14639.

Wang K, Kavousi M, Voortman T, Ikram MA, Ghanbari M, Ahmadizar F. Cardiovascular health, genetic predisposition, and lifetime risk of type 2 diabetes. Eur J Prev Cardiol. 2022;28(16):1850-7.

Wu P, Moon JY, Daghlas I, et al. Obesity Partially Mediates the Diabetogenic Effect of Lowering LDL Cholesterol. Diabetes Care. 2022;45(1):232-40.

Brahimaj A, Ahmadizar F, Vernooij MW, et al. Epicardial fat volume and the risk of cardiometabolic diseases among women and men from the general population. Eur J Prev Cardiol. 2022;28(18):e14-e6.

Khan SR, Peeters RP, van Hagen PM, Dalm V, Chaker L. Determinants and Clinical Implications of Thyroid Peroxidase Antibodies in Middle-Aged and Elderly Individuals: The Rotterdam Study. Thyroid. 2022;32(1):78–89.

Fani L, Roa Dueñas O, Bos D, et al. Thyroid Status and Brain Circulation: The Rotterdam Study. J Clin Endocrinol Metab. 2022;107(3):e1293-e302.

Roa Dueñas OH, Koolhaas C, Voortman T, et al. Thyroid Function and Physical Activity: A Population-Based Cohort Study. Thyroid. 2021;31(6):870-5.

Syrogiannouli L, Wildisen L, Meuwese C, et al. Incorporating Baseline Outcome Data in Individual Participant Data Meta-Analysis of Non-randomized Studies. Front Psychiatry. 2022;13:774251. https://doi.org/10.3389/fpsyt.2022.774251

Zhou W, Brumpton B, Kabil O, et al. GWAS of thyroid stimulating hormone highlights pleiotropic effects and inverse association with thyroid cancer. Nat Commun. 2020;11(1):3981.

Xu Y, Derakhshan A, Hysaj O, et al. The optimal healthy ranges of thyroid function defined by the risk of cardiovascular disease and mortality: systematic review and individual participant data meta-analysis. Lancet Diabetes Endocrinol. 2023;11(10):743-54. doi:S2213-8587(23)00227-9 [pii] https://doi.org/10.1016/S2213-8587(23)00227-9

van der Burgh AC, Rizopoulos D, Ikram MA, Hoorn EJ, Chaker L. Determinants of the Evolution of Kidney Function With Age. Kidney Int Rep. 2021;6(12):3054-63.

van der Burgh AC, Stricker BH, Rizopoulos D, Ikram MA, Hoorn EJ, Chaker L. Kidney function and the risk of sudden cardiac death in the general population. Clin Kidney J. 2022;15(8):1524-33.

Nelson RG, Grams ME, Ballew SH, et al. Development of Risk Prediction Equations for Incident Chronic Kidney Disease. Jama. 2019;322(21):2104-14.

Gorski M, Jung B, Li Y, et al. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline. Kidney Int. 2021;99(4):926-39.

Schlosser P, Tin A, Matias-Garcia PR, et al. Meta-analyses identify DNA methylation associated with kidney function and damage. Nat Commun. 2021;12(1):7174.

Khan SR, Chaker L, Ikram MA, Peeters RP, van Hagen PM, Dalm V. Determinants and Reference Ranges of Serum Immunoglobulins in Middle-Aged and Elderly Individuals: a Population-Based Study. J Clin Immunol. 2021;41(8):1902-14.

Khan SR, Vanoverschelde A, Lahousse L, et al. Serum Immunoglobulins, Pneumonia Risk, and Lung Function in Middle-Aged and Older Individuals: A Population-Based Cohort Study. Front Immunol. 2022;13:868973.

Kemper CH, Peters PW. Migration and proliferation of primordial germ cells in the rat. Teratology. 1987;36(1):117-24. https://doi.org/10.1002/tera.1420360115

Khan SR, Yaqub A, Ikram MK, et al. The association of serum immunoglobulins with cognition and dementia: the Rotterdam Study. J Neurol. 2023;270(1):423-32.

Arinze JT, de Roos EW, Karimi L, Verhamme KMC, Stricker BH, Brusselle GG. Prevalence and incidence of, and risk factors for chronic cough in the adult population: the Rotterdam Study. ERJ Open Res. 2020;6(2).

Arinze JT, Verhamme KMC, Luik AI, Stricker B, van Meurs JBJ, Brusselle GG. The interrelatedness of chronic cough and chronic pain. Eur Respir J. 2021;57(5).

Arinze JT, Hofman A, de Roos EW, et al. The interrelationship of chronic cough and depression: a prospective population-based study. ERJ Open Res. 2022;8(2).

Benz E, Trajanoska K, Schoufour JD, et al. Sarcopenia in older people with chronic airway diseases: the Rotterdam study. ERJ Open Res. 2021;7(1).

Trajanoska K, Schoufour JD, Darweesh SK, et al. Sarcopenia and Its Clinical Correlates in the General Population: The Rotterdam Study. J Bone Miner Res. 2018;33(7):1209-18.

Wang AL, Lahousse L, Dahlin A, et al. Novel genetic variants associated with inhaled corticosteroid treatment response in older adults with asthma. Thorax. 2023;78(5):432-41.

Edris A, de Roos EW, McGeachie MJ, et al. Pharmacogenetics of inhaled corticosteroids and exacerbation risk in adults with asthma. Clin Exp Allergy. 2022;52(1):33–45.

Demenais F, Margaritte-Jeannin P, Barnes KC, et al. Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks. Nat Genet. 2018;50(1):42–53.

Brusselle GG, Koppelman GH. Biologic Therapies for Severe Asthma. N Engl J Med. 2022;386(2):157-71. https://doi.org/10.1056/NEJMra2032506

Sarin KY, Lin Y, Daneshjou R, et al. Genome-wide meta-analysis identifies eight new susceptibility loci for cutaneous squamous cell carcinoma. Nat Commun. 2020;11(1):820.

Tokez S, Alblas M, Nijsten T, Pardo LM, Wakkee M. Predicting keratinocyte carcinoma in patients with actinic keratosis: development and internal validation of a multivariable risk-prediction model. Br J Dermatol. 2020;183(3):495–502.

George CD, Tokez S, Hollestein L, et al. Longitudinal Assessment of the Prevalence of Actinic Keratosis and Extensive Risk Factor Evaluation: An Update from the Rotterdam Study. J Invest Dermatol. 2023. doi:S0022-202X(23)02056-0 [pii] https://doi.org/10.1016/j.jid.2023.02.042

Allouche J, Rachmin I, Adhikari K, et al. NNT mediates redox-dependent pigmentation via a UVB- and MITF-independent mechanism. Cell. 2021;184(16):4268-83 e20.

Mekić S, Gunn DA, Jacobs LC, et al. Genetic Susceptibility to Dry Skin in a General Middle-Aged to Elderly Population: A GWAS. J Invest Dermatol. 2021;141(8):2077-9 e5.

Mekić S, Wigmann C, Gunn DA, et al. Genetics of facial telangiectasia in the Rotterdam Study: a genome-wide association study and candidate gene approach. J Eur Acad Dermatol Venereol. 2021;35(3):749-54.

Mekić S, Hamer MA, Wigmann C, et al. Epidemiology and determinants of facial telangiectasia: a cross-sectional study. J Eur Acad Dermatol Venereol. 2020;34(4):821-6.

Mekic S, Pardo LM, Gunn DA, et al. Younger facial looks are associate with a lower likelihood of several age-related morbidities in the middle-aged to elderly. Br J Dermatol. 2023;188(3):390-5. doi:6979846 [pii] https://doi.org/10.1093/bjd/ljac100

Sanders MGH, Nijsten T, Verlouw J, Kraaij R, Pardo LM. Composition of cutaneous bacterial microbiome in seborrheic dermatitis patients: A cross-sectional study. PLoS One. 2021;16(5):e0251136.

Ikram MA, Brusselle G, Ghanbari M, et al. Objectives, design and main findings until 2020 from the Rotterdam Study. Eur J Epidemiol. 2020;35(5):483–517.

Ikram MA, van der Lugt A, Niessen WJ, et al. The Rotterdam Scan Study: design update 2016 and main findings. Eur J Epidemiol. 2015;30(12):1299-315. doi:10.1007/s10654-015-0105-7 [pii] 105 [pii] https://doi.org/10.1007/s10654-015-0105-7

Hoogendam YY, Hofman A, van der Geest JN, van der Lugt A, Ikram MA. Patterns of cognitive function in aging: the Rotterdam Study. Eur J Epidemiol. 2014;29(2):133-40. https://doi.org/10.1007/s10654-014-9885-4

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. doi:S0966-6362(12)00332-3 [pii] https://doi.org/10.1016/j.gaitpost.2012.09.005

Hanewinckel R, Drenthen J, van Oijen M, Hofman A, van Doorn PA, Ikram MA. Prevalence of polyneuropathy in the general middle-aged and elderly population. Neurology. 2016;87(18):1892-8. doi:WNL.0000000000003293 [pii] https://doi.org/10.1212/WNL.0000000000003293

Wolters FJ, Chibnik LB, Waziry R, et al. Twenty-seven-year time trends in dementia incidence in Europe and the United States: The Alzheimer Cohorts Consortium. Neurology. 2020;95(5):e519-e31. doi:WNL.0000000000010022 [pii] NEUROLOGY2019008235 [pii] https://doi.org/10.1212/WNL.0000000000010022

Dommershuijsen LJ, Heshmatollah A, Darweesh SKL, Koudstaal PJ, Ikram MA, Ikram MK. Life expectancy of parkinsonism patients in the general population. Parkinsonism Relat Disord. 2020;77:94-9. doi:S1353-8020(20)30195-4 [pii] https://doi.org/10.1016/j.parkreldis.2020.06.018

van der Willik KD, Licher S, Vinke EJ, et al. Trajectories of Cognitive and Motor Function Between Ages 45 and 90 Years: A Population-Based Study. J Gerontol A Biol Sci Med Sci. 2021;76(2):297–306. doi:5880609 [pii] glaa187 [pii] https://doi.org/10.1093/gerona/glaa187

Heshmatollah A, Dommershuijsen LJ, Fani L, Koudstaal PJ, Ikram MA, Ikram MK. Long-term trajectories of decline in cognition and daily functioning before and after stroke. J Neurol Neurosurg Psychiatry. 2021;92(11):1158-63. doi:jnnp-2021-326043 [pii] https://doi.org/10.1136/jnnp-2021-326043

Mooldijk SS, Yaqub A, Wolters FJ, et al. Life expectancy with and without dementia in persons with mild cognitive impairment in the community. J Am Geriatr Soc. 2022;70(2):481-9. doi:JGS17520 [pii] https://doi.org/10.1111/jgs.17520

Dommershuijsen LJ, Boon AJW, Ikram MK. Probing the Pre-diagnostic Phase of Parkinson’s Disease in Population-Based Studies. Front Neurol. 2021;12:702502. https://doi.org/10.3389/fneur.2021.702502

Dommershuijsen LJ, Heshmatollah A, Mattace Raso FUS, Koudstaal PJ, Ikram MA, Ikram MK. Orthostatic Hypotension: A Prodromal Marker of Parkinson’s Disease? Mov Disord. 2021;36(1):164-70. doi:MDS28303 [pii] https://doi.org/10.1002/mds.28303

Heshmatollah A, Fani L, Koudstaal PJ, Ghanbari M, Ikram MA, Ikram MK. Plasma beta-Amyloid, Total-Tau, and Neurofilament Light Chain Levels and the Risk of Stroke: A Prospective Population-Based Study. Neurology. 2022;98(17):e1729-e37. doi:WNL.0000000000200004 [pii] https://doi.org/10.1212/WNL.0000000000200004

Heshmatollah A, Ma Y, Fani L, Koudstaal PJ, Ikram MA, Ikram MK. Visit-to-visit blood pressure variability and the risk of stroke in the Netherlands: A population-based cohort study. PLoS Med. 2022;19(3):e1003942. doi:PMEDICINE-D-21-01404 [pii] https://doi.org/10.1371/journal.pmed.1003942

Holstege H, Hulsman M, Charbonnier C, et al. Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as risk factors for Alzheimer’s disease. Nat Genet. 2022;54(12):1786-94. doi:10.1038/s41588-022-01208-7 [pii] 1208 [pii] https://doi.org/10.1038/s41588-022-01208-7

Mishra A, Malik R, Hachiya T, et al. Stroke genetics informs drug discovery and risk prediction across ancestries. Nature. 2022;611(7934):115-23. doi:10.1038/s41586-022-05165-3 [pii] 5165 [pii] https://doi.org/10.1038/s41586-022-05165-3

Taams NE, Drenthen J, Hanewinckel R, Ikram MA, van Doorn PA. Prevalence and Risk Factor Profiles for Chronic Axonal Polyneuropathy in the General Population. Neurology. 2022. doi:WNL.0000000000201168 [pii] https://doi.org/10.1212/WNL.0000000000201168

van der Velpen IF, Vlasov V, Evans TE, et al. Subcortical brain structures and the risk of dementia in the Rotterdam Study. Alzheimers Dement. 2023;19(2):646-57.

Yaqub A, Mens MMJ, Klap JM, et al. Genome-wide profiling of circulatory microRNAs associated with cognition and dementia. Alzheimers Dement. 2023;19(4):1194-203.

Mooldijk SS, Dommershuijsen LJ, de Feijter M, Luik AI. Trajectories of depression and anxiety during the COVID-19 pandemic in a population-based sample of middle-aged and older adults. J Psychiatr Res. 2022;149:274-80.

de Feijter M, Kocevska D, Blanken TF, van der Velpen IF, Ikram MA, Luik AI. The network of psychosocial health in middle-aged and older adults during the first COVID-19 lockdown. Soc Psychiatry Psychiatr Epidemiol. 2022;57(12):2469-79.

Hofman A, Voortman T, Ikram MA, Luik AI. Substitutions of physical activity, sedentary behaviour and sleep: associations with mental health in middle-aged and elderly persons. J Epidemiol Community Health. 2022;76(2):175-81.

de Feijter M, Kocevska D, Ikram MA, Luik AI. The bidirectional association of 24-h activity rhythms and sleep with depressive symptoms in middle-aged and elderly persons. Psychol Med. 2023;53(4):1418-25.

Hofman A, Lier I, Ikram MA, van Wingerden M, Luik AI. Uncovering psychiatric phenotypes using unsupervised machine learning: A data-driven symptoms approach. Eur Psychiatry. 2023;66(1):e27.

de Feijter M, Katimertzoglou A, Tiemensma J, Ikram MA, Luik AI. Polysomnography-estimated sleep and the negative feedback loop of the hypothalamic-pituitary-adrenal (HPA) axis. Psychoneuroendocrinology. 2022;141:105749.

de Feijter M, Tiemensma J, Ikram MA, Stricker BH, Luik AI. The longitudinal association of sleep and 24-hour activity rhythms with cortisol response to a very low dose of dexamethasone. Sleep Health. 2022;8(4):398–405.

Özel F, Hilal S, de Feijter M, et al. Associations of neuroimaging markers with depressive symptoms over time in middle-aged and elderly persons. Psychol Med. 2023;53(10):4355-63.

van der Velpen IF, de Feijter M, Raina R, et al. Psychosocial health modifies associations between HPA-axis function and brain structure in older age. Psychoneuroendocrinology. 2023;153:106106.

Zijlmans JL, Vernooij MW, Ikram MA, Luik AI. The role of cognitive and brain reserve in late-life depressive events: The Rotterdam Study. J Affect Disord. 2023;320:211-7.

Zijlmans JL, Riemens MS, Vernooij MW, Ikram MA, Luik AI. Sleep, 24-Hour Activity Rhythms, and Cognitive Reserve: A Population-Based Study. J Alzheimers Dis. 2023;91(2):663-72.

Lysen TS, Luik AI, Ikram MK, Tiemeier H, Ikram MA. Actigraphy-estimated sleep and 24-hour activity rhythms and the risk of dementia. Alzheimers Dement. 2020;16(9):1259-67.

Lysen TS, Ikram MA, Ghanbari M, Luik AI. Sleep, 24-h activity rhythms, and plasma markers of neurodegenerative disease. Sci Rep. 2020;10(1):20691.

Lysen TS, Zonneveld HI, Muetzel RL, et al. Sleep and resting-state functional magnetic resonance imaging connectivity in middle-aged adults and the elderly: A population-based study. J Sleep Res. 2020;29(5):e12999.

Lysen TS, Yilmaz P, Dubost F, et al. Sleep and perivascular spaces in the middle-aged and elderly population. J Sleep Res. 2022;31(2):e13485.

Chen J, Waqas K, Tan RC, Voortman T, Ikram MA, Nijsten TE, De Groot LC, Uitterlinden AG, Zillikens MC. The association between dietary and skin advanced glycation end products: the Rotterdam Study. Am J Clin Nut. 2020;112(1):129–37. https://doi.org/10.1093/ajcn/nqaa117

Mormile R. Comment on Koromani et al. Vertebral Fractures in Individuals With Type 2 Diabetes: More Than Skeletal Complications Alone. Diabetes Care 2020;43:137–44. https://doi.org/10.2337/dc19-2460

Xiao T, Ghatan S, Mooldijk SS, et al. Association of Bone Mineral Density and Dementia: The Rotterdam Study. Neurology. 2023;100(20):e2125-e33.

Benz E, Trajanoska K, Schoufour JD, Lahousse L, de Roos EW, Terzikhan N, Medina-Gomez C, Verhamme K, Williams R, Stricker BH, Franco OH. Sarcopenia in older people with chronic airway diseases: the Rotterdam study. ERJ Open Res. 2021;7(1). https://doi.org/10.1183/23120541.00522-2020

Benz E, Wijnant SR, Trajanoska K, Arinze JT, de Roos EW, de Ridder M, Williams R, van Rooij F, Verhamme KM, Ikram MA, Stricker BH. Sarcopenia, systemic immune-inflammation index and all-cause mortality in middle-aged and older people with COPD and asthma: a population-based study. ERJ Open Res. 2022;8(1). https://doi.org/10.1183/23120541.00628-2021

Boer CG, Hatzikotoulas K, Southam L, et al. Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations. Cell. 2021;184(18):4784-818 e17.

Boer CG, Szilagyi I, Nguyen NL, et al. Vitamin K antagonist anticoagulant usage is associated with increased incidence and progression of osteoarthritis. Ann Rheum Dis. 2021;80(5):598–604.

Loeser RF, Berenbaum F, Kloppenburg M. Vitamin K and osteoarthritis: is there a link? Ann Rheum Dis. 2021;80(5):547-9.

Sedaghati-Khayat B, Boer CG, Runhaar J, et al. Risk Assessment for Hip and Knee Osteoarthritis Using Polygenic Risk Scores. Arthritis Rheumatol. 2022;74(9):1488-96.

Medina-Gomez C, Mullin BH, Chesi A, et al. Bone mineral density loci specific to the skull portray potential pleiotropic effects on craniosynostosis. Commun Biol. 2023;6(1):691.

Szilagyi IA, Vallerga CL, Boer CG, et al. Plasma proteomics identifies CRTAC1 as a biomarker for osteoarthritis severity and progression. Rheumatology (Oxford). 2023;62(3):1286-95.

Boer CG, Radjabzadeh D, Medina-Gomez C, et al. Intestinal microbiome composition and its relation to joint pain and inflammation. Nat Commun. 2019;10(1):4881.

Waqas K, Chen J, Trajanoska K, Ikram MA, Uitterlinden AG, Rivadeneira F, Zillikens MC. Skin autofluorescence, a noninvasive biomarker for advanced glycation end-products, is associated with sarcopenia. J Clin Endocrinol Metabol. 2022;107(2):e793–803. https://doi.org/10.1210/clinem/dgab632

Waqas K, Chen J, Rivadeneira F, Uitterlinden AG, Voortman T, Zillikens MC. Skin autofluorescence, a noninvasive biomarker of advanced glycation end-products, is associated with frailty: the rotterdam study. J Gerontol: Series A. 2022;77(10):2032–9. https://doi.org/10.1093/gerona/glac025

Waqas K, Chen J, Koromani F, Trajanoska K, van der Eerden BC, Uitterlinden AG, Rivadeneira F, Zillikens MC. Skin autofluorescence, a noninvasive biomarker for advanced glycation end-products, is associated with prevalent vertebral and major osteoporotic fractures: the Rotterdam study. J Bone Min Res. 2020;35(10):1904–13. https://doi.org/10.1002/jbmr.4096

Kouyoumdjian P, Mansour J, Haignère V, Demattei C, Maury E, George D, Coulomb R. Hip-Spine relationship between sagittal balance of the Lumbo-Pelvi-Femoral complex and hip extension capacity: an EOS evaluation in a healthy caucasian population. Global Spine J. 2022:21925682221103831. https://doi.org/10.1177/21925682221103831

Deal JA, Betz J, Yaffe K, et al. Hearing Impairment and Incident Dementia and Cognitive Decline in Older Adults: The Health ABC Study. J Gerontol A Biol Sci Med Sci. 2017;72(5):703-9. doi:glw069 [pii] https://doi.org/10.1093/gerona/glw069

Livingston G, Sommerlad A, Orgeta V, et al. Dementia prevention, intervention, and care. Lancet. 2017;390(10113):2673-734. doi:S0140-6736(17)31363-6 [pii] https://doi.org/10.1016/S0140-6736(17)31363-6

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. https://doi.org/10.1080/14992020400050004

Cox RM, Alexander GC. The International Outcome Inventory for Hearing Aids (IOI-HA): psychometric properties of the English version. Int J Audiol. 2002;41(1):30-5. https://doi.org/10.3109/14992020209101309

Newman CW, Sandridge SA, Bolek L. Development and psychometric adequacy of the screening version of the tinnitus handicap inventory. Otol Neurotol. 2008;29(3):276-81. https://doi.org/10.1097/MAO.0b013e31816569c4

Trpchevska N, Freidin MB, Broer L, et al. Genome-wide association meta-analysis identifies 48 risk variants and highlights the role of the stria vascularis in hearing loss. Am J Hum Genet. 2022;109(6):1077-91. doi:S0002-9297(22)00158-6 [pii] https://doi.org/10.1016/j.ajhg.2022.04.010

Croll PH, Vinke EJ, Armstrong NM, et al. Hearing loss and cognitive decline in the general population: a prospective cohort study. J Neurol. 2021;268(3):860-71. doi:10.1007/s00415-020-10208-8 [pii] 10208 [pii] https://doi.org/10.1007/s00415-020-10208-8

Oosterloo BC, Croll PH, Baatenburg de Jong RJ, Ikram MK, Goedegebure A. Prevalence of Tinnitus in an Aging Population and Its Relation to Age and Hearing Loss. Otolaryngol Head Neck Surg. 2021;164(4):859-68. doi:10.1177_0194599820957296 [pii] https://doi.org/10.1177/0194599820957296

Oosterloo BC, de Feijter M, Croll PH, Baatenburg de Jong RJ, Luik AI, Goedegebure A. Cross-sectional and Longitudinal Associations Between Tinnitus and Mental Health in a Population-Based Sample of Middle-aged and Elderly Persons. JAMA Otolaryngol Head Neck Surg. 2021;147(8):708-16. doi:2781095 [pii] ooi210022 [pii] https://doi.org/10.1001/jamaoto.2021.1049

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:S1542-3565(07)00753-7 [pii] https://doi.org/10.1016/j.cgh.2007.07.020

van Kleef LA, Ayada I, Alferink LJM, Pan Q, de Knegt RJ. Metabolic dysfunction-associated fatty liver disease improves detection of high liver stiffness: The Rotterdam Study. Hepatology. 2022;75(2):419-29. doi:01515467-202202000-00018 [pii] HEP32131 [pii] https://doi.org/10.1002/hep.32131

Ayada I, van Kleef LA, Alferink LJM, Li P, de Knegt RJ, Pan Q. Systematically comparing epidemiological and clinical features of MAFLD and NAFLD by meta-analysis: Focusing on the non-overlap groups. Liver Int. 2022;42(2):277-87. https://doi.org/10.1111/liv.15139

Xiao T, van Kleef LA, Ikram MK, de Knegt RJ, Ikram MA. Association of Nonalcoholic Fatty Liver Disease and Fibrosis With Incident Dementia and Cognition: The Rotterdam Study. Neurology. 2022;99(6):e565-e73. doi:WNL.0000000000200770 [pii] WNL-2022-200754 [pii] https://doi.org/10.1212/WNL.0000000000200770

van Kleef LA, Xiao T, Ikram MA, Ikram MK, de Knegt RJ. Sex-stratified associations between fatty liver disease and Parkinson’s disease: The Rotterdam study. Parkinsonism Relat Disord. 2023;106:105233. doi:S1353-8020(22)00402-3 [pii] https://doi.org/10.1016/j.parkreldis.2022.105233

van Kleef LA, Sonneveld MJ, Kavousi M, Ikram MA, de Man RA, de Knegt RJ. Fatty liver disease is not associated with increased mortality in the elderly: A prospective cohort study. Hepatology. 2023;77(2):585-93. doi:01515467-202302000-00024 [pii] https://doi.org/10.1002/hep.32635

van Kleef LA, Sonneveld MJ, Zhu F, Ikram MA, Kavousi M, de Knegt RJ. Liver stiffness is associated with excess mortality in the general population driven by heart failure: The Rotterdam Study. Liver Int. 2023;43(5):1000-7. https://doi.org/10.1111/liv.15538

Warnert EAH, Steketee RME, Vernooij MW, et al. Implementation and validation of ASL perfusion measurements for population imaging. Magn Reson Med. 2020;84(4):2048-54.

van Arendonk J, Neitzel J, Steketee RME, et al. Diabetes and hypertension are related to amyloid-beta burden in the population-based Rotterdam Study. Brain. 2023;146(1):337-48.

van den Brink H, Kopczak A, Arts T, et al. Zooming in on cerebral small vessel function in small vessel diseases with 7T MRI: Rationale and design of the “ZOOM@SVDs” study. Cereb Circ Cogn Behav. 2021;2:100013.

Dubost F, Adams H, Bortsova G, et al. 3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI. Med Image Anal. 2019;51:89–100.

Evans TE, Knol MJ, Schwingenschuh P, et al. Determinants of Perivascular Spaces in the General Population: A Pooled Cohort Analysis of Individual Participant Data. Neurology. 2023;100(2):e107-e22.

Vinke EJ, de Groot M, Venkatraghavan V, et al. Trajectories of imaging markers in brain aging: the Rotterdam Study. Neurobiol Aging. 2018;71:32–40.