The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Linguistic Ability in Early Life and Cognitive Function and Alzheimer's Disease in Late Life: Findings From the Nun Study
Abstract
Objective. —To determine if linguistic ability in early life is associated with cognitive function and Alzheimer's disease in late life. Design. —Two measures of linguistic ability in early life, idea density and grammatical complexity, were derived from autobiographies written at a mean age of 22 years. Approximately 58 years later, the women who wrote these autobiographies participated in an assessment of cognitive function, and those who subsequently died were evaluated neuropathologically. Setting. —Convents in the United States participating in the Nun Study; primarily convents in the Milwaukee, Wis, area. Participants. —Cognitive function was investigated in 93 participants who were aged 75 to 95 years at the time of their assessments, and Alzheimer's disease was investigated in the 14 participants who died at 79 to 96 years of age. Main Outcome Measures. —Seven neuropsychological tests and neuropathologically confirmed Alzheimer's disease. Results. —Low idea density and low grammatical complexity in autobiographies written in early life were associated with low cognitive test scores in late life. Low idea density in early life had stronger and more consistent associations with poor cognitive function than did low grammatical complexity. Among the 14 sisters who died, neuropathologically confirmed Alzheimer's disease was present in all of those with low idea density in early life and in none of those with high idea density. Conclusions. —Low linguistic ability in early life was a strong predictor of poor cognitive function and Alzheimer's disease in late life. (JAMA. 1996;275:528-532)
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This work was groundbreaking in showing that linguistic structure and complexity can serve as a strong predictor for the onset of AD and potentially other forms of cognitive impairment.”
From A Review of Automated Speech and Language Features for Assessment of Cognitive and Thought Disorders (2020) · cites this paper as [66]
In the citing paper
“Roughly 80% of the participants that were determined to lack linguistic complexity in their writings developed AD or had mental and cognitive disabilities in their older age.”
From A Review of Automated Speech and Language Features for Assessment of Cognitive and Thought Disorders (2020) · cites this paper as [66]
In the citing paper
“In particular, the study found that low idea density in early life was a particularly strong predictor of reduced cognitive ability or the presence of AD in later life.”
From A Review of Automated Speech and Language Features for Assessment of Cognitive and Thought Disorders (2020) · cites this paper as [66]
In the citing paper
“For this reason, we believe our hypothesis better accommodates data that argue early adult cognitive markers predict AD risk long before plaques and probably Aβ changes occur [246, 247].”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [246]
In the citing paper
“Various studies suggest this pre-dementia period of cognitive decline lasts at least a decade and perhaps even many decades [83–86].”
From Brain aging, Alzheimer's disease, and mitochondria (2011) · cites this paper as [83]
Citations
Cites
The publisher hasn’t deposited this paper’s reference list.
Cited by
Sorted by citations
Items 301–400 of 1,000
Childhood Cognitive Ability and Incident Dementia
Russ, T. C., Hannah, J., Batty, G. D., Booth, C. C., Deary, I. J., & Starr, J. M. (2017) · Epidemiology · doi:10.1097/ede.0000000000000626 · Cited by 60
Inhibition of amyloid formation: a strategy to delay the onset of Alzheimer's disease
Lansbury, P. T. (1997) · Current Opinion in Chemical Biology · doi:10.1016/s1367-5931(97)80018-x · Cited by 60
Hauser, R. A. (2005) · doi:10.7826/isr-um.06.585031.001.05.0012.2005 · Cited by 60
Contribution of neural networks to Alzheimer disease's progression
Savioz, A., Leuba, G., Vallet, P. G., & Walzer, C. (2009) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2009.06.006 · Cited by 59
Dyke, N. V., Yenugadhati, N., Birkett, N., Lindsay, J., Turner, M. C., Willhite, C. C., & Krewski, D. R. (2020) · NeuroToxicology · doi:10.1016/j.neuro.2020.04.002 · Cited by 61
Education, Occupation, and Dementia: The Bavarian School Sisters Study
Bickel, H., & Kurz, A. (2009) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000227781 · Cited by 58
Richards, M., James, S., Sizer, A., Sharma, N., Rawle, M. J., Davis, D. H. J., & Kuh, D. J. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-024404 · Cited by 58
Conceptual Foundations of the UCSD Statin Study
Golomb, B. A., Criqui, M. H., White, H., & Dimsdale, J. E. (2004) · Archives of Internal Medicine · doi:10.1001/archinte.164.2.153 · Cited by 58
Mental Ability in Childhood and Cognitive Aging
Gow, A. J., Johnson, W., Pattie, A., Whiteman, M. C., Starr, J. M., & Deary, I. J. (2008) · Gerontology · doi:10.1159/000118098 · Cited by 58
Vector-space topic models for detecting Alzheimer's disease
Yancheva, M., & Rudzicz, F. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p16-1221 · Cited by 57
HOW COMPLEX IS THAT SENTENCE? A PROPOSED REVISION OF THE ROSENBERG AND ABBEDUTO D-LEVEL SCALE
Covington, M. A., He, C., Brown‐Johnson, C. G., Naçi, L., & Brown, J. S. (2006) · Cited by 57
Vocabulary Size in Speech May Be an Early Indicator of Cognitive Impairment
Aramaki, E., Shikata, S., Miyabe, M., & Kinoshita, A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155195 · Cited by 57
Language Performance of Individuals at Risk for Mild Cognitive Impairment
McCullough, K., Bayles, K. A., & Bouldin, E. D. (2019) · Journal of Speech Language and Hearing Research · doi:10.1044/2018_jslhr-l-18-0232 · Cited by 57
Individual differences in temporal information processing in humans
Szela̧g, E., Kanabus, M., Kołodziejczyk, I., Kowalska, J., & Szuchnik, J. (2004) · Acta Neurobiologiae Experimentalis · doi:10.55782/ane-2004-1519 · Cited by 57
Rhetorical structure and Alzheimer’s disease
Abdalla, M., Rudzicz, F., & Hirst, G. (2017) · Aphasiology · doi:10.1080/02687038.2017.1355439 · Cited by 56
The Effect of APOE-ε4 on Dementia is Mediated by Alzheimer Neuropathology
Mortimer, J. A., Snowdon, D. A., & Markesbery, W. R. (2009) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e318190a855 · Cited by 56
Self-citationJorm, A. F., Masaki, K., Petrovitch, H., Ross, G. W., & White, L. R. (2005) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2005.53163.x · Cited by 56
Diagnostic and Prognostic Role of Semantic Processing in Preclinical Alzheimer’s Disease
Venneri, A., Carta, C., Marco, M. D., Quaranta, D., & Marra, C. (2018) · Biomarkers in Medicine · doi:10.2217/bmm-2017-0324 · Cited by 55
Huang, T. L., Carlson, M. C., Fitzpatrick, A. L., Kuller, L. H., Fried, L. P., & Zandi, P. P. (2008) · Neurology · doi:10.1212/01.wnl.0000311444.20490.98 · Cited by 55
Early-life events. Effects on aging
Kajantie, E. (2008) · HORMONES · doi:10.1007/bf03401501 · Cited by 55
Multilingual word embeddings for the assessment of narrative speech in mild cognitive impairment
Fraser, K., Fors, K. L., & Kokkinakis, D. (2018) · Computer Speech & Language · doi:10.1016/j.csl.2018.07.005 · Cited by 55
Cognitive impairment and World Trade Centre-related exposures
Clouston, S., Hall, C. B., Kritikos, M., Bennett, D. A., DeKosky, S. T., Edwards, J. D., Finch, C. E., Kreisl, W. C., Mielke, M. M., Peskind, E. R., et al. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00576-8 · Cited by 54
Environmental enrichment: Evidence for an unexpected therapeutic influence
Kotloski, R. J., & Sutula, T. P. (2014) · Experimental Neurology · doi:10.1016/j.expneurol.2014.11.012 · Cited by 54
Epidemiology and Risk Factors for Dementia
Dintica, C. S., & Yaffe, K. S. (2022) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2022.07.011 · Cited by 56
Women and dementia – not forgotten
Bamford, S.-M., & Walker, T. (2012) · Maturitas · doi:10.1016/j.maturitas.2012.06.013 · Cited by 53
Kreiner, H., & Levi‐Belz, Y. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00558 · Cited by 53
Auriacombe, S., Lechevallier‐Michel, N., Amieva, H., Harston, S., Raoux, N., & Dartigues, J. (2006) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000091407 · Cited by 53
Plassman, B. L., & Breitner, J. C. S. (1996) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1996.tb01377.x · Cited by 53
The Influence of Cognitive Reserve on Memory Following Electroconvulsive Therapy
Legendre, S. A., Stern, R. A., Solomon, D. A., Furman, M. J., & Smith, K. (2003) · Journal of Neuropsychiatry · doi:10.1176/jnp.15.3.333 · Cited by 52
Event-Related Potential Changes in Groups at Increased Risk for Alzheimer Disease
Green, J., & Levey, A. I. (1999) · Archives of Neurology · doi:10.1001/archneur.56.11.1398 · Cited by 52
A finer-grained linguistic profile of Alzheimer's disease and Mild Cognitive Impairment
Chapin, K., Clarke, N., Garrard, P., & Hinzen, W. (2022) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2022.101069 · Cited by 51
The Dynamics of Dementia Communication
Wray, A. (2020) · doi:10.1093/oso/9780190917807.001.0001 · Cited by 51
Environmental differences in twin pairs discordant for Alzheimer's disease
Räihä, I. J., Kaprio, J. A., Koskenvuo, M., Rajala, T., & Sourander, L. (1998) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.65.5.785 · Cited by 51
Rubio, M. M., Antonietti, J., Donati, A., Rossier, J., & von Gunten, A. (2013) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000346129 · Cited by 50
Otake, M., Tokunaga, S., Watanabe, K., Abe, M., Sekiguchi, T., Sugimoto, H., Kishimoto, T., & Kudo, T. (2021) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.633076 · Cited by 50
Ostrand, R., & Gunstad, J. (2021) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988720933358 · Cited by 49
“End-Stage” Neurofibrillary Tangle Pathology in Preclinical Alzheimer's Disease: Fact or Fiction?
Abner, E. L., Kryscio, R. J., Schmitt, F. A., SantaCruz, K. S., Jicha, G. A., Lin, Y., Neltner, J. M., Smith, C. D., Van Eldik, L. J., & Nelson, P. T. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-101980 · Cited by 49
Beyond “Use It or Lose It”: The Impact of Engagement on Cognitive Aging
Stine‐Morrow, E. A. L., & Manavbasi, I. E. (2022) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-121020-030017 · Cited by 52
The Fate of the 0.5s: Predictors of 2-Year Outcome in Mild Cognitive Impairment
Aretouli, E., Okonkwo, O. C., Samek, J., & Brandt, J. (2010) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617710001621 · Cited by 49
Lupton, M. K., Robinson, G. A., Adam, R. J., Rose, S., Byrne, G. J., Salvado, O., Pachana, N. A., Almeida, O. P., McAloney, K., Gordon, S. D., et al. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102527 · Cited by 49
Formulaic Language as a Barrier to Effective Communication with People with Alzheimer's Disease
Wray, A. (2011) · Canadian Modern Language Review/ La Revue canadienne des langues vivantes · doi:10.3138/cmlr.67.4.429 · Cited by 48
Lee, J., Park, H., & Chey, J. (2018) · Psychiatry Investigation · doi:10.4306/pi.2018.15.1.70 · Cited by 49
‘Evolutionary medicine’ perspectives on Alzheimer’s Disease: Review and new directions
Fox, M. M. (2018) · Ageing Research Reviews · doi:10.1016/j.arr.2018.07.008 · Cited by 48
Linguagem e cognição na doença de Alzheimer
Mansur, L. L., Carthery‐Goulart, M. T., Caramelli, P., & Nitríni, R. (2005) · Psicologia Reflexão e Crítica · doi:10.1590/s0102-79722005000300002 · Cited by 48
DeBuc, D. C., Gaca-Wysocka, M., Grzybowski, A. E., & Kanclerz, P. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8070996 · Cited by 47
Obesity-Related Neuroinflammation: Magnetic Resonance and Microscopy Imaging of the Brain
Woo, A., Botta, A. M., Shi, S. S. W., Paus, T., & Pausová, Z. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158790 · Cited by 47
Agraphia in Alzheimer’s Disease
Croisile, B. (1999) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000017124 · Cited by 47
Rare Copy Number Deletions Predict Individual Variation in Intelligence
Yeo, R. A., Gangestad, S. W., Liu, J., Calhoun, V. D., & Hutchison, K. E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016339 · Cited by 46
Tau Oligomer Pathology in Nucleus Basalis Neurons During the Progression of Alzheimer Disease
Tiernan, C. T., Mufson, E. J., Kanaan, N. M., & Counts, S. (2018) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlx120 · Cited by 46
Graves, A. B., Rajaram, L., Bowen, J. D., McCormick, W. C., McCurry, S. M., & Larson, E. B. (1999) · The Journals of Gerontology Series B · doi:10.1093/geronb/54b.3.s154 · Cited by 46
A Rubric for Extracting Idea Density from Oral Language Samples
Chand, V., Baynes, K., Bonnici, L. M., & Farias, S. T. (2012) · Current Protocols in Neuroscience · doi:10.1002/0471142301.ns1005s58 · Cited by 45
Impact of lifestyle dimensions on brain pathology and cognition
Schreiber, S., Vogel, J. W., Schwimmer, H., Marks, S. M., Schreiber, F., & Jagust, W. J. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.01.012 · Cited by 45
The Relationship between Cognitive Reserve and Math Abilities
Arcara, G., Mondini, S., Alice, B., Palmer, K., Meneghello, F., & Semenza, C. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00429 · Cited by 45
Speech Processing for Early Alzheimer Disease Diagnosis: Machine Learning Based Approach
Ammar, R., & BenAyed, Y. (2018) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa.2018.8612831 · Cited by 45
Carret, N. L., Rainville, C. M., Lechevallier‐Michel, N., Lafont, S., Letenneur, L., & Fabrigoule, C. (2003) · Brain and Cognition · doi:10.1016/s0278-2626(03)00155-6 · Cited by 45
Aging, health, and public policy : demographic and economic perspectives
Waite, L. J. (2004) · Cited by 45
Premorbid intelligence estimation and level of dementia in Alzheimer's disease
Maddrey, A. M., Cullum, C. M., Weiner, M., & Filley, C. M. (1996) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617700001727 · Cited by 44
Adolescent Cognitive Aptitudes and Later-in-Life Alzheimer Disease and Related Disorders
Huang, A., Strombotne, K. L., Horner, E. M., & Lapham, S. (2018) · JAMA Network Open · doi:10.1001/jamanetworkopen.2018.1726 · Cited by 44
Rosa, C. L., Ghibaudi, M., & Bonfanti, L. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8050685 · Cited by 44
Schoentgen, B., Gagliardi, G. P., & Defontaines, B. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01814 · Cited by 44
Childhood mental ability and lifetime psychiatric contact
Walker, N. P., McConville, P. M., Hunter, D. C., Deary, I. J., & Whalley, L. J. (2002) · Intelligence · doi:10.1016/s0160-2896(01)00098-8 · Cited by 44
Sex-Based Memory Advantages and Cognitive Aging: A Challenge to the Cognitive Reserve Construct?
Caselli, R. J., Dueck, A. C., Locke, D. E. C., Baxter, L. C., Woodruff, B. K., & Geda, Y. E. (2015) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715000016 · Cited by 44
Oral and Written Language in Late Adulthood: Findings From the Nun Study
Mitzner, T. L., & Kemper, S. J. (2003) · Experimental Aging Research · doi:10.1080/03610730303698 · Cited by 44
PROVIDING DENTAL CARE FOR PATIENTS DIAGNOSED WITH ALZHEIMER’S DISEASE
Henry, R. G., & Wekstein, D. R. (1997) · Dental Clinics of North America · doi:10.1016/s0011-8532(22)00051-9 · Cited by 44
Association between the psychosocial network and dementia—a case–control study
Seidler, A., Bernhardt, T., Nienhaus, A., & Frölich, L. (2002) · Journal of Psychiatric Research · doi:10.1016/s0022-3956(02)00065-1 · Cited by 44
Neuroimaging of prenatal drug exposure
Dow-Edwards, D. L., Benveniste, H., Behnke, M., Bandstra, E. S., Singer, L. T., Hurd, Y. L., & Stanford, L. (2006) · Neurotoxicology and Teratology · doi:10.1016/j.ntt.2006.03.003 · Cited by 43
Zhao, Z., Zhu, L., Bu, X., Ma, H., Yang, S., Yang, Y., & Hu, Z. (2014) · Chemical Communications · doi:10.1039/c4cc07037b · Cited by 43
Osler, M., Christensen, G. T., Garde, E., Mortensen, E. L., & Christensen, K. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.04.003 · Cited by 43
Educational Attainment and Socioeconomic Status of Patients With Autopsy-Confirmed Alzheimer Disease
Muñoz, D. G., Ganapathy, G. R., Eliasziw, M., & Hachinski, V. (2000) · Archives of Neurology · doi:10.1001/archneur.57.1.85 · Cited by 43
Buscema, M., Grossi, E., Snowdon, D. A., Antuono, P., Intraligi, M., Maurelli, G., & Savarè, R. (2004) · Neuroinformatics · doi:10.1385/ni:2:4:399 · Cited by 42
Self-citationBerger, S., & Baria, A. T. (2022) · Frontiers in Pain Research · doi:10.3389/fpain.2022.896276 · Cited by 42
What paint can tell us: A fractal analysis of neurological changes in seven artists.
Forsythe, A., Williams, T., & Reilly, R. G. (2016) · Neuropsychology · doi:10.1037/neu0000303 · Cited by 42
Chapman, B. P., Huang, A., Peters, K. D., Horner, E. M., Manly, J. J., Bennett, D. A., & Lapham, S. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.3120 · Cited by 42
Idea Formulation for Spoken Language Production: The Interface of Cognition and Language
Barker, M. S., Nelson, N. L., & Robinson, G. A. (2019) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617719001097 · Cited by 42
Identification of digital voice biomarkers for cognitive health
Lin, H., Karjadi, C., Ang, T. F. A., Joshi, P. S., McManus, C., Alhanai, T., Glass, J. R., & Au, R. (2020) · Exploration of Medicine · doi:10.37349/emed.2020.00028 · Cited by 42
Periventricular White Matter Hyperintensities on MRI: Correlation With Neuropathologic Findings
Smith, C. D., Snowdon, D. A., & Markesbery, W. R. (2000) · Journal of Neuroimaging · doi:10.1111/jon200010113 · Cited by 42
Self-citationEffects of death within 11 years on cognitive performance in old age.
Rabbitt, P., Watson, P., Donlan, C., McInnes, L., Horan, M. A., Pendleton, N., & Clague, J. (2002) · Psychology and Aging · doi:10.1037//0882-7974.17.3.468 · Cited by 42
Genetics of Vascular Cognitive Impairment
Leblanc, G. G., Meschia, J. F., Stuss, D. T., & Hachinski, V. (2005) · Stroke · doi:10.1161/01.str.0000195177.61184.49 · Cited by 42
Learning diagnostic models using speech and language measures
Peintner, B., Jarrold, W., Vergyri, D., Richey, C., Tempini, M. L. G., & Ogar, J. (2008) · 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2008.4650249 · Cited by 41
Leisure Activities, APOE ε4, and Cognitive Decline: A Longitudinal Cohort Study
Zhang, Y., Fu, S., Ding, D., Lutz, M. W., Zeng, Y., & Yao, Y. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.736201 · Cited by 41
Kuller, L. H., López, O. L., Becker, J. T., Chang, Y., & Newman, A. B. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.08.165 · Cited by 41
Cognitive changes in the preclinical phase of familial Alzheimer's disease
Arango‐Lasprilla, J. C., Cuetos, F., Valencia, C., Uribe, C., & Lopera, F. J. (2007) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803390601174151 · Cited by 41
Apolipoprotein E variants and cognition in healthy individuals: A critical opinion
Savitz, J. B., Solms, M., & Ramesar, R. (2005) · Brain Research Reviews · doi:10.1016/j.brainresrev.2005.10.006 · Cited by 41
Treatment of Alzheimer’s Disease: Current Approaches and Promising Developments
Small, G. W. (1998) · The American Journal of Medicine · doi:10.1016/s0002-9343(98)00027-8 · Cited by 41
Does childhood intelligence predict variation in cognitive change in later life?
Bourne, V. J., Fox, H. C., Deary, I. J., & Whalley, L. J. (2006) · Personality and Individual Differences · doi:10.1016/j.paid.2006.10.030 · Cited by 41
Bose, A., Dash, N. S., Ahmed, S., Dutta, M., Dutt, A., Nandi, R., Cheng, Y., & Mello, T. M. D. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.707628 · Cited by 40
Linguistic Ability in Early Life and Longevity: Findings from the Nun Study
Snowdon, D. A., Greiner, L. H., Kemper, S., Nanayakkara, N. D., & Mortimer, J. A. (1999) · Springer eBooks · doi:10.1007/978-3-642-60100-2_9 · Cited by 40
Self-citationDavis, B. H., Maclagan, M., Karakostas, T. E., Hsiang, S. M., & Shenk, D. (2011) · Topics in Geriatric Rehabilitation · doi:10.1097/tgr.0b013e31821e58db · Cited by 39
Bigler, E. D., Lowry, C. M., Kerr, B., Tate, D. F., Hessel, C. D., Earl, H. D., Miller, M. J., Rice, S. A., Smith, K. H., Tschanz, J. T., et al. (2003) · Neuropsychology · doi:10.1037/0894-4105.17.3.339 · Cited by 39
Murphy, K. J., Foley, A., O’Connell, A. W., & Regan, C. M. (2005) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300810 · Cited by 39
Idea density for predicting Alzheimer's disease from transcribed speech
Sirts, K., Piguet, O., & Johnson, M. (2017) · Conference on Computational Natural Language Learning · doi:10.18653/v1/k17-1033 · Cited by 39
Rapoport, S. I. (1999) · Brain Research Bulletin · doi:10.1016/s0361-9230(99)00095-7 · Cited by 39
Impact of cognitive reserve on the relationship of lead exposure and neurobehavioral performance
Bleecker, M. L., Ford, D. P., Celio, M. A., Vaughan, C. G., & Lindgren, K. N. (2007) · Neurology · doi:10.1212/01.wnl.0000266628.43760.8c · Cited by 39
Paradigm Shift: Semantic Memory Decline as a Biomarker of Preclinical Alzheimer’S Disease
Venneri, A., Mitolo, M., & Marco, M. D. (2015) · Biomarkers in Medicine · doi:10.2217/bmm.15.53 · Cited by 39
Richards, M., Black, S., Mishra, G. D., Galé, C. R., Deary, I. J., & Batty, G. D. (2008) · Intelligence · doi:10.1016/j.intell.2008.09.004 · Cited by 39
Jarrold, W., Peintner, B., Yeh, E., Krasnow, R. E., Javitz, H. S., & Swan, G. E. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15314-3_28 · Cited by 37
Retirement Age and the Age of Onset of Alzheimer’s Disease: Results from the ICTUS Study
Grotz, C., Letenneur, L., Bonsang, É., Amieva, H., Meillon, C., Quertemont, É., Salmon, É., Adam, S., & ICTUS/DSA group (2015) · PLoS ONE · doi:10.1371/journal.pone.0115056 · Cited by 37
Wang, C., Liu, S., Li, A., & Liu, J. (2023) · Journal of Medical Internet Research · doi:10.2196/51501 · Cited by 37
Mild cognitive impairment: effect of education on the verbal and nonverbal tasks performance decline
Vadikolias, Κ., Tsiakiri, A., Trιpsianis, G., Tsivgoulis, G. K., Ioannidis, P., Serdari, A., Heliopoulos, J., Livaditis, M., & Piperidou, C. (2012) · Brain and Behavior · doi:10.1002/brb3.88 · Cited by 37
Metadata
- Authors
- Snowdon, D. A.
- Corresponding author
- Snowdon, David A.
- ORCID
- Snowdon, David A.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 1996-02-21
- Volume
- 275
- Issue
- 7
- Pages
- 528
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W4293569649
- Cited by
- 696
- References
- 0
- Citations by year
- 2026: 22 · 2025: 23 · 2024: 16 · 2023: 29 · 2022: 26 · 2021: 28 · 2020: 32 · 2019: 36 · 2018: 28 · 2017: 36 · 2016: 24 · 2015: 26 · 2014: 26 · 2013: 17 · 2012: 26
- FWCI
- 14.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- Funders
- National Institute on Aging (K04 AG00553, R01AG09862, K04AG00443)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Keywords
- language skills, idea density, grammatical complexity, cognitive function, Alzheimer's disease, late-life cognitive decline, neuropathology, Nun Study, women religious
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