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Relation of Diabetes to Mild Cognitive Impairment
Abstract
BACKGROUND: Type 2 diabetes mellitus is an important risk factor for Alzheimer disease and is more prevalent in elderly minority persons compared with non-Hispanic white persons. OBJECTIVE: To determine whether diabetes is related to a higher risk of mild cognitive impairment (MCI), a transitional stage between normal cognition and Alzheimer disease, in a multiethnic cohort with a high prevalence of diabetes. DESIGN: Longitudinal cohort study. SETTING: Northern Manhattan in New York, NY. PARTICIPANTS: We studied persons without prevalent MCI or dementia at baseline and with at least 1 follow-up interval. Of 1772 participants with a complete neuropsychological evaluation, 339 (19.1%) were excluded because of prevalent dementia, 304 were excluded because of prevalent MCI (17.2%), and 211 were excluded because of loss to follow-up (11.9%), resulting in a final sample of 918 participants for longitudinal analyses. MAIN OUTCOME MEASURES: We related diabetes defined by self-report to incident all-cause MCI, amnestic MCI, and nonamnestic MCI. We conducted multivariate analyses with proportional hazards regression adjusting for age, sex, years of education, ethnic group, apolipoprotein E (APOE) epsilon4 allele, hypertension, low-density lipoprotein level, current smoking, heart disease, and stroke. RESULTS: A total of 334 persons had incident MCI, 160 (47.9%) had amnestic MCI, and 174 (52.1%) had nonamnestic MCI. Diabetes was related to a significantly higher risk of all-cause MCI and amnestic MCI after adjustment for all covariates. Diabetes was also related to a higher risk of nonamnestic MCI, but this association was appreciably attenuated after adjustment for socioeconomic variables and vascular risk factors. The risk of MCI attributable to diabetes was 8.8% for the whole sample and was higher for African American persons (8.4%) and Hispanic persons (11.0%) compared with non-Hispanic white persons (4.6%), reflecting the higher prevalence of diabetes in minority populations in the United States. CONCLUSION: Diabetes is related to a higher risk of amnestic MCI in a population with a high prevalence of this disorder.
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“Compared with older adults without diabetes, those with the disease are at an increased risk of mild cognitive impairment (114).”
From Psychosocial care for people with diabetes: a position statement of the American Diabetes Association (2016) · cites this paper as [114]
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Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Statistical Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D. L., & Stadlan, E. (2011) · Neurology · doi:10.1212/01.wnl.0000400650.92875.cf · Cited by 9,882
Statistical Methods for Rates and Proportions.
Everitt, B. S., & Fleiss, J. L. (1981) · Biometrics · doi:10.2307/2530193 · Cited by 9,034
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864
A New Clinical Scale for the Staging of Dementia
Hughes, C. P., Berg, L., Danziger, W., Coben, L. A., & Martin, R. L. (1982) · British Journal of Psychiatry · doi:10.1192/bjp.140.6.566 · Cited by 7,056
Cox, D. R., & Oakes, D. (2018) · Chapman & Hall/CRC eBooks · doi:10.1201/9781315137438 · Cited by 6,269
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Dumurgier, J., Paquet, C., Peoc’h, K., Lapalus, P., Mouton‐Liger, F., Benisty, S., Chasseigneaux, S., Chabriat, H., & Hugon, J. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-111007 · Cited by 21
Vascular disease and cognitive impairment
Reitz, C., Luchsinger, J. A., & Mayeux, R. P. (2008) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.8.8.1171 · Cited by 20
Self-citationBae, S., Shimada, H., Lee, S., Makizako, H., Lee, S., Harada, K., Doi, T., Tsutsumimoto, K., Hotta, R., Nakakubo, S., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-161230 · Cited by 21
Luo, M., Zhou, X., Ji, H., Ma, W., Liu, G., Dai, D., Li, J., Chang, L. Y., Xu, L., Jiang, L., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132156 · Cited by 19
The Relationship Between Adult Neuropsychological Profiles and Diabetic Patients' Glycemic Control
Zihl, J., Schaaf, L., & Zillmer, E. A. (2010) · Applied Neuropsychology · doi:10.1080/09084280903526133 · Cited by 20
Influence of Reading Ability on Neuropsychological Performance in African American Elders
Schneider, B. C., & Lichtenberg, P. A. (2011) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acr062 · Cited by 19
Liao, J., Xiong, Z., Yang, Z., Hao, L., Liu, G., Ren, Y., Wang, Q., Duan, L.-P., Zheng, Z., & Dong, J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0183965 · Cited by 19
Ginsenoside Ameliorates Cognitive Dysfunction in Type 2 Diabetic Goto-Kakizaki Rats
Tian, Z., Ren, N., Wang, J., Zhang, D., & Zhou, Y. (2018) · Medical Science Monitor · doi:10.12659/msm.907417 · Cited by 19
Mild Cognitive Impairment Subtypes and Type 2 Diabetes in Elderly Subjects
Valenza, S., Paciaroni, L., Paolini, S., Bonfigli, A. R., Rosa, M. D., Rabini, R. A., Tortato, E., Pelliccioni, P., & Pelliccioni, G. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9072055 · Cited by 19
The Rationale for Insulin Therapy in Alzheimer’s Disease
Ribarič, S. (2016) · Molecules · doi:10.3390/molecules21060689 · Cited by 20
Liu, X., Jiang, Y., Peng, W., Wang, M., Chen, X., Li, M., Ruan, Y., Sun, S., Yang, T., Yang, Y., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.964886 · Cited by 18
The benefits of adipocyte metabolism in bone health and regeneration
Burkhardt, L.-M., Bucher, C. H., Löffler, J., Rinne, C., Duda, G. N., Geißler, S., Schulz, T. J., & Schmidt‐Bleek, K. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1104709 · Cited by 21
Hill‐Briggs, F., Lazo, M., Renosky, R. J., & Ewing, C. (2008) · Rehabilitation Psychology · doi:10.1037/0090-5550.53.1.1 · Cited by 18
Resting-state functional MR imaging shed insights into the brain of diabetes
Wang, Y. F., Ji, X. M., Lu, G., & Zhang, L. J. (2016) · Metabolic Brain Disease · doi:10.1007/s11011-016-9872-4 · Cited by 19
Redwine, L. S., Pung, M. A., Wilson, K. L., Chinh, K., & Duffy, A. (2018) · NeuroImmunoModulation · doi:10.1159/000493142 · Cited by 18
Mini-mental state exam versus Montreal Cognitive Assessment in patients with diabetic retinopathy
Oğurel, T., Oğurel, R., Özer, M. A., Türkel, Y., Dağ, E., & Örnek, K. (2015) · Nigerian Journal of Clinical Practice · doi:10.4103/1119-3077.163274 · Cited by 18
Gordon, C. A., & Martin, D. J. (2013) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.2013.856265 · Cited by 21
Contributing Factors to Diabetic Brain Injury and Cognitive Decline
Verma, N., & Despa, F. (2019) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2019.0153 · Cited by 18
Cai, R., Han, J., Sun, J. L., Huang, R., Tian, S., Shen, Y., & Wang, S. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00257 · Cited by 17
Davey, D. A. (2014) · Neurodegenerative Disease Management · doi:10.2217/nmt.14.14 · Cited by 17
Park, M., Sung, M. R., Kim, S. K., & Lee, D. Y. (2014) · Journal of Korean Academy of Nursing · doi:10.4040/jkan.2014.44.4.351 · Cited by 17
Advances in Vascular Cognitive Impairment 2007
Gorelick, P. B., & Bowler, J. V. (2008) · Stroke · doi:10.1161/strokeaha.107.509570 · Cited by 17
Lee, Y., Cho, Y., & Oh, H. (2020) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2020.1790492 · Cited by 16
Importance of Oxidative Stress and Antioxidant System in Health and Disease
Sabuncuoğlu, S., & Yalçınkaya, A. S. (2022) · Biochemistry · doi:10.5772/intechopen.100949 · Cited by 16
Study of the Risk and Preventive Factors for Progress of Mild Cognitive Impairment to Dementia
Hu, C., Wang, L., Guo, Y., Cao, Z., Lu, Y., & Qin, H. (2020) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/1533317520925324 · Cited by 17
Ganmore, I., Elkayam, I., Ravona‐Springer, R., Lin, H., Liu, X., Plotnik, M., Buchman, A. S., Berman, Y., Schwartz, J., Sano, M. C., et al. (2020) · Endocrine Practice · doi:10.4158/ep-2020-0289 · Cited by 16
Dasgupta, A., Ghose, S., Paul, B., Bandyopadhyay, L., Ghosh, P., & Yadav, A. (2020) · Journal of Family Medicine and Primary Care · doi:10.4103/jfmpc.jfmpc_604_20 · Cited by 16
Tsai, C.-Y., Hsu, W.-H., Lin, Y.-T., Liu, Y.-S., Lo, K., Lin, S., Majumdar, A., Cheng, W.-H., Lee, K., Wu, D., et al. (2021) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.9786 · Cited by 18
Hughes, T. M., Sink, K. M., Williamson, J. D., Hugenschmidt, C. E., Wagner, B., Whitlow, C. T., Xu, J., Smith, S. C., Launer, L. J., Barzilay, J. I., et al. (2018) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2018.05.017 · Cited by 16
Mahapatra, G., Smith, S. C., Hughes, T. M., Wagner, B., Maldjian, J. A., Freedman, B. I., & Molina, A. J. A. (2018) · Clinical Science · doi:10.1042/cs20180690 · Cited by 16
Dong, W., Zhou, Y., Li, P., Zhang, P., Li, J., Wang, Y., Xiaoli Li, A., Bian, Z., Yin, S., & Xu, Y. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab8b7b · Cited by 16
Zeng, J., Hu, K., Wang, Z., Huang, Y.-C., Zhang, Y., Peng, H., & Ma, S. (2025) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.5c00086 · Cited by 18
Tang, X., Wang, Y., Simó, R., Stehouwer, C. D. A., & Zhou, J. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-220972 · Cited by 15
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Buawangpong, N., Pinyopornpanish, K., Phinyo, P., Jiraporncharoen, W., Angkurawaranon, C., & Soontornpun, A. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-221259 · Cited by 15
Realization of Amyloid-like Aggregation as a Common Cause for Pathogenesis in Diseases
Naskar, S., & Gour, N. (2023) · Life · doi:10.3390/life13071523 · Cited by 13
Delbari, A., Tabatabaei, F., Ghasemi, H., Azimi, A., Bidkhori, M., Saatchi, M., Foroughan, M., & Hooshmand, E. (2024) · Health Science Reports · doi:10.1002/hsr2.1827 · Cited by 17
Cognitive Impact of Lacunar Infarcts and White Matter Hyperintensity Volume
Warren, M. W., Weiner, M., Rossetti, H. C., McColl, R. W., Peshock, R. M., & King, K. S. (2015) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000370109 · Cited by 15
Cognition in informal caregivers: evidence from an English population study
García-Castro, F. J., Bendayan, R., Dobson, R., & Blanca, M. J. (2021) · Aging & Mental Health · doi:10.1080/13607863.2021.1893270 · Cited by 14
UNIVERSIDAD NACIONAL DE TRUJILLO
Medicina, F. D. (2010) · Cited by 14
Dong, W., Li, P., Xiaoli Li, A., Wei, Z., Zhou, Y., Pei, H., Li, F., Bian, Z., Wang, L., & Yin, S. (2020) · Neural Networks · doi:10.1016/j.neunet.2020.01.025 · Cited by 14
Do Associations Between Vascular Risk and Mild Cognitive Impairment Vary by Race?
Rotblatt, L. J., Aiken‐Morgan, A. T., Marsiske, M., Horgas, A. L., & Thomas, K. R. (2021) · Journal of Aging and Health · doi:10.1177/0898264320984357 · Cited by 14
Shang, J., Che, S., & Zhu, M. (2022) · Applied Bionics and Biomechanics · doi:10.1155/2022/5892463 · Cited by 14
RetractedDiéguez, S. (2010) · Monographs in clinical neuroscience/Frontiers of neurology and neuroscience/Monographs in neural sciences · doi:10.1159/000311201 · Cited by 14
Wang, G., Tang, H., Zhuang, J.-P., Xu, X., Liu, L., Li, B., Wang, L., Xu, Z., Cheng, Q., & Chen, S. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-131514 · Cited by 14
Yao, Q., Jiang, G., Zhou, Z., Chen, J., & Cheng, Q. H. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150920 · Cited by 15
Johari, N., Manaf, Z. A., Ibrahim, N., Shahar, S., & Mustafa, N. (2016) · Clinical Interventions in Aging · doi:10.2147/cia.s105652 · Cited by 14
Zhang, H.-Q., Song, B., Zhu, W.-W., Liu, L.-L., He, X.-Q., Wang, Z., An, K., Cao, W., Shi, J., & Wang, S. (2021) · Aging · doi:10.18632/aging.203351 · Cited by 12
Ok, Y., & Shim, M.-S. (2015) · Journal of Korean Public Health Nursing · doi:10.5932/jkphn.2015.29.2.219 · Cited by 14
Cognitive Dysfunction of Pregnant Women with Gestational Diabetes Mellitus in Perinatal Period
Sana, S.-R.-G.-L., Deng, X., Guo, L., Wang, X., & Li, E. (2021) · Journal of Healthcare Engineering · doi:10.1155/2021/2302379 · Cited by 13
Cui, D. Y., Wang, J., Bian, Z., Li, Q., Wang, L., & Xiaoli Li, A. (2014) · Journal of Innovative Optical Health Sciences · doi:10.1142/s1793545815500108 · Cited by 13
Prevalence of mild cognitive impairment among older adults living in Mansoura city, Egypt
Amer, M. S., Mousa, S. M., Khater, M. S., & Wahab, W. E.-H. M. A. (2012) · Middle East Current Psychiatry · doi:10.1097/01.xme.0000407821.18381.3c · Cited by 13
Brain MRI findings related to Alzheimer's disease in older African American adults
Carmichael, O. T., & Newton, R. L. (2019) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2019.04.002 · Cited by 13
Benari, O., Efrati, S., Hadanny, A., Sano, M. C., Bendlin, B. B., Lin, H., Liu, X., Sela, I., Almog, G., Livny, A., et al. (2020) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12008 · Cited by 12
Prevalence of Alzheimer's disease with diabetes in the Japanese population
KIMURA, R., Tomiyasu, H., Takeuchi, T., Shimizu, M., Hayashi, Y., Okayama, N., Kamiya, Y., & Joh, T. (2008) · Psychogeriatrics · doi:10.1111/j.1479-8301.2008.00229.x · Cited by 13
Factores de riesgo vascular y enfermedad de Alzheimer
Doña, P. J. R., Artigas, P. D. A., Guerra, M. L. S., & Monfort, C. A. (2009) · Revista Española de Geriatría y Gerontología · doi:10.1016/j.regg.2008.12.004 · Cited by 15
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van der Harg, J. M., Eggels, L., Ruigrok, S. R., Hoozemans, J. J. M., la Fleur, S. E., & Scheper, W. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00432 · Cited by 12
Mori, Y., Futamura, A., Murakami, H., Kohashi, K., Hirano, T., & Kawamura, M. (2014) · Neurology and Clinical Neuroscience · doi:10.1111/ncn3.153 · Cited by 12
Jiang, X., Zhao, X., Chen, R., Jiang, Q., & Zhou, B. (2016) · Archives of Medical Science · doi:10.5114/aoms.2016.60821 · Cited by 12
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Gender differences in cognitive decline and Alzheimer’s disease
Gabelli, C., & Codemo, A. (2015) · Italian Journal of Gender-Specific Medicine · Cited by 12
García‐Casares, N., García-Arnés, J. A., Gómez‐Huelgas, R., Valdivielso, P., García-Arias, C., & González‐Santos, P. (2014) · Revista de Neurología · doi:10.33588/rn.5911.2014023 · Cited by 13
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Aszalós, Z. (2007) · Orvosi Hetilap · doi:10.1556/oh.2007.28221 · Cited by 11
Huang, X., Yi, C., Wu, M., Qiu, Y., Wu, H., Ye, H., Peng, Y., Xiao, X. O., Lin, J., Yu, X., et al. (2021) · Kidney & Blood Pressure Research · doi:10.1159/000514172 · Cited by 13
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Mukherjee, A. G., Mishra, S., Gopalakrishnan, A. V., Kannampuzha, S., Murali, R., Wanjari, U. R., Stany, B. K., Vellingiri, B., Madhyastha, H., Deepankumar, K., et al. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102726 · Cited by 11
Biomarkers of Renal Function in Type 2 Diabetic Patients with Cognitive Impairment
Zhang, J., Geng, N., Li, Z., Qiao, H.-J., Sun, H., & Li, F. (2015) · Neuroscience Letters · doi:10.1016/j.neulet.2015.10.059 · Cited by 11
Atherosclerosis, biomarkers of atherosclerosis and Alzheimer's disease
Fiolaki, A., Tsamis, K. I., Milionis, H. J., Kyritsis, A. P., Kosmidou, M. S., & Giannopoulos, S. (2013) · International Journal of Neuroscience · doi:10.3109/00207454.2013.821988 · Cited by 11
Nikolakopoulou, P., Chatzigeorgiou, A., Kourtzelis, I., Toutouna, L., Masjkur, J. R., Arps‐Forker, C., Poser, S., Rozman, J., Rathkolb, B., Aguilar‐Pimentel, J. A., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-29434-2 · Cited by 10
Johnson, L. A., Zhang, F., Large, S., Hall, J. R., & O’Bryant, S. E. (2019) · International Psychogeriatrics · doi:10.1017/s1041610219001625 · Cited by 12
Epidemiology of Alzheimer’s Disease
Xu, W., Ferrari, C., & Wang, H. (2013) · InTech eBooks · doi:10.5772/54398 · Cited by 18
Heat Therapy: Targeting Health, Disease, and Disability
Richey, R. E., Hyldahl, R. D., Kaiser, B. W., Geiger, P. C., Halliwill, J. R., & Minson, C. T. (2026) · Comprehensive physiology · doi:10.1002/cph4.70089 · Cited by 11
Yingxu, L., Tan, X., & Fangyi, L. (2025) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2025.04.039 · Cited by 10
Udomruk, S., Wudtiwai, B., Shwe, T. H., Phitak, T., Pothacharoen, P., Phimphilai, M., & Kongtawelert, P. (2021) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2021.04.012 · Cited by 10
Hayden, M. R. (2024) · Biomedicines · doi:10.3390/biomedicines12010096 · Cited by 13
Takahashi, Y., Iseki, C., Wada, M., MOMMA, T., Ueki, M., Kawanami, T., Daimon, M., Suzuki, K., Tamiya, G., & Kato, T. (2011) · Internal Medicine · doi:10.2169/internalmedicine.50.4871 · Cited by 10
Elfassy, T., Aiello, A. E., Schneiderman, N., Haan, M. N., Tarraf, W., González, H. M., Gellman, M. D., Florez, H. J., Luchsinger, J. A., Wright, C. B., et al. (2018) · Journal of Aging and Health · doi:10.1177/0898264318759379 · Cited by 10
Self-citationXiao, L., Ge, B., Chen, X., Chen, B., Qin, L., Hu, X., Pan, H., Chen, Y., Tian, L., Gao, Y., et al. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00033 · Cited by 10
Andrews, R. M., Shpitser, I., López, O. L., Longstreth, W. T., Jr., Chaves, P. H. M., Kuller, L. H., & Carlson, M. C. (2020) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12570 · Cited by 10
Huang, X., Wang, C., Tian, S., Huang, R., Guo, D., Zhang, H., Shi, J., & Wang, S. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190269 · Cited by 11
Depression and the Diagnosis of MCI in a Culturally Diverse Sample in the United States
Lang, M. K., Rosselli, M., Greig, M. T., Torres, V. L., Vélez-Uribe, I., Arruda, F., Barker, W., Garcia, P., Loewenstein, D., Curiel, R. E., et al. (2019) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acz043 · Cited by 11
Distribution of lipid droplets in hippocampal neurons and microglia: impact of diabetes and exercise
Seferi, G., Mjønes, H. S., Havik, M., Reiersen, H., Dalen, K. T., Nordengen, K., & Morland, C. (2024) · Life Science Alliance · doi:10.26508/lsa.202302239 · Cited by 9
Baghel, D., & Ghosh, A. (2024) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.4c02827 · Cited by 9
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Tong, H., Capuano, A. W., Carmichael, O. T., Gwizdala, K. L., Bennett, D. A., Ahima, R. S., Arnold, S. E., & Arvanitakis, Z. (2023) · Aging and Disease · doi:10.14336/ad.2023.1117 · Cited by 11
Diversity in diabetes: the role of insulin aspart
Heller, S. R., McCance, D. R., Moghissi, E. S., Nazeri, A., & Kordonouri, O. (2011) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.1240 · Cited by 9
Diabetes as a Risk Factor for Abnormal Cognition Development
Wang, G., & Li, W. (2020) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-200181 · Cited by 9
The Flexibility of Physio-Cognitive Decline Syndrome: A Longitudinal Cohort Study
Lin, Y., Chung, C., Lee, P., Chou, K., Chang, L.-H., Lin, S., Lee, Y., Lin, C., & Wang, P. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.820383 · Cited by 9
Lopez-Vilaret, K. M., Fernandez-Alvarez, M., Kojori, E. S., Tomasi, D. G., Cantero, J. L., & Atienza, M. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1034355 · Cited by 9
Li, Y., Hui, C. L. M., Lee, E. H. M., Chang, W. C., Chan, S. K. W., Leung, C., & Chen, E. Y. H. (2013) · Early Intervention in Psychiatry · doi:10.1111/eip.12109 · Cited by 9
Eyes on the prize: Federal Alzheimer's research effort aims to facilitate interventions
Hodes, R. J., Buckholtz, N. S., Cahan, V., & Morrison‐Bogorad, M. (2007) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2007.11.002 · Cited by 9
Vieira, R. N., de Ávila, R. T., de Paula, J. J., Cintra, M. T. G., de Souza, R. P., Nicolato, R., Malloy‐Diniz, L. F., de Miranda, D. M., de Moraes, E. N., Marco, L. A. D., et al. (2016) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4440 · Cited by 9
Hyperuricemia as a Protective Factor for Mild Cognitive Impairment in Non-Obese Elderly
Wang, F., Zhao, M., Han, Z., Li, D., Zhang, S., Zhang, Y., Kong, X., Sun, N., Zhang, Q., & Lei, P. (2017) · The Tohoku Journal of Experimental Medicine · doi:10.1620/tjem.242.37 · Cited by 9
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Metadata
- Authors
- Luchsinger, J. A., Reitz, C., Patel, B., Tang, M.-X., Manly, J. J., & Mayeux, R.
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2007-04-01
- Volume
- 64
- Issue
- 4
- Pages
- 570
- ISSN
- 0003-9942 (ISSN-L)
- OpenAlex
- W2034664059
- Cited by
- 592
- References
- 58
- Citations by year
- 2026: 14 · 2025: 22 · 2024: 24 · 2023: 26 · 2022: 24 · 2021: 28 · 2020: 37 · 2019: 32 · 2018: 28 · 2017: 29 · 2016: 35 · 2015: 33 · 2014: 47 · 2013: 34 · 2012: 39
- FWCI
- 19.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Neurology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (P01AG007232, K08AG020856, AG 07702, AG 07232, 1K08 AG 20856-01)
- National Center for Research Resources (RR 00645, M01RR000645)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- type 2 diabetes, mild cognitive impairment, amnestic mild cognitive impairment, non-amnestic mild cognitive impairment, Alzheimer's disease risk, racial and ethnic disparities, African Americans, Hispanic Americans, minority groups, vascular risk factors, socioeconomic factors
- MeSH terms
- Aged, Aged, 80 and over, Analysis of Variance, Apolipoproteins E, Black or African American, Cognition Disorders, Diabetes Mellitus, Type 2, Female, Follow-Up Studies, Genotype, Hispanic or Latino, Humans, Male, Middle Aged, Neuropsychological Tests, New York, Risk Factors, Cohort Studies, Prevalence, White People
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