The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Meta-analysis of Alzheimer’s disease risk with obesity, diabetes, and related disorders
Open accessAbstract
Background Late-onset Alzheimer's disease (AD) is a multifactorial and heterogeneous disorder with major risk factors including advanced age, presence of an apolipoprotein E epsilon4 (APOE4) allele, and family history of AD. Other risk factors may be obesity and diabetes and related disorders, which are highly prevalent.Methods We reviewed longitudinal epidemiological studies of body mass, diabetes, metabolic syndrome, and glucose and insulin levels on risk for AD. We conducted meta-analyses of the results from these studies.Results For obesity assessed by body mass index, the pooled effect size for AD was 1.59 (95% confidence interval [CI] 1.02-2.5; z = 2.0; p = .042), and for diabetes, the pooled effect size for AD was 1.54 (95% CI 1.33-1.79; z = 5.7; p < .001). Egger's test did not find significant evidence for publication bias in the meta-analysis for obesity (t = -1.4, p = .21) or for diabetes (t = -.86, p = .42). Since these disorders are highly comorbid, we conducted a meta-analysis combining all studies of obesity, diabetes, and abnormal glucose or insulin levels, which yielded a highly significant pooled effect size for AD of 1.63 (95% CI 1.39-1.92; z = 5.9; p < .001).Conclusions Obesity and diabetes significantly and independently increase risk for AD. Though the level of risk is less than that with the APOE4 allele, the high prevalence of these disorders may result in substantial increases in future incidence of AD. Physiological changes common to obesity and diabetes plausibly promote AD.
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
“Several comorbidities such as diabetes, hypertension, cardiovascular/renal/hepatic complications, hypogonadotropic hypogonadism, bronchial asthma, and Alzheimer’s disease are associated with obesity [10-13].”
From Bariatric surgery: remission of inflammation, cardiometabolic benefits, and common adverse effects (2020) · cites this paper as [13]
In the citing paper
“Obesity and insulin resistance are significant risk factors for Alzheimer’s disease [13] (Fig. 1).”
From Bariatric surgery: remission of inflammation, cardiometabolic benefits, and common adverse effects (2020) · cites this paper as [13]
Citations
Cites
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Corder, E. H., Saunders, A. M., Strittmatter, W. J., Schmechel, D. E., Gaskell, P. C., Small, G. W., Roses, A. D., Haines, J. L., & Pericak-Vance, M. A. (1993) · Science · doi:10.1126/science.8346443 · Cited by 9,429
ON ESTIMATING THE RELATION BETWEEN BLOOD GROUP AND DISEASE
Woolf, B. (1955) · Annals of Human Genetics · doi:10.1111/j.1469-1809.1955.tb01348.x · Cited by 2,724
Diabetes mellitus and the risk of dementia: The Rotterdam Study
Ott, A., Stolk, R. P., van Harskamp, F., Pols, H. A. P., Hofman, A., & Breteler, M. M. B. (1999) · Neurology · doi:10.1212/wnl.53.9.1937 · Cited by 2,175
Adipocytes as regulators of energy balance and glucose homeostasis
Rosen, E. D., & Spiegelman, B. M. (2006) · Nature · doi:10.1038/nature05483 · Cited by 2,170
Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database
Bertram, L., McQueen, M. B., Mullin, K., Blacker, D., & Tanzi, R. E. (2007) · Nature Genetics · doi:10.1038/ng1934 · Cited by 1,857
Twenty years of the Alzheimer's disease amyloid hypothesis: a genetic perspective
Tanzi, R. E., & Bertram, L. (2005) · Cell · doi:10.1016/j.cell.2005.02.008 · Cited by 1,849
Obesity and Vascular Risk Factors at Midlife and the Risk of Dementia and Alzheimer Disease
Kivipelto, M., Ngandu, T., Fratiglioni, L., Viitanen, M., Kåreholt, I., Winblad, B., Helkala, E.-L., Tuomilehto, J., Soininen, H., & Nissinen, A. (2005) · Archives of Neurology · doi:10.1001/archneur.62.10.1556 · Cited by 1,291
Diabetes mellitus and risk of Alzheimer disease and decline in cognitive function
Arvanitakis, Z., Wilson, R. S., Bienias, J. L., Evans, D. A., & Bennett, D. A. (2004) · Archives of Neurology · doi:10.1001/archneur.61.5.661 · Cited by 1,258
Cited by
Sorted by citations
Items 501–600 of 718
Paulsen, A. J., Pinto, A. A., Schubert, C. R., Chappell, R. J., Chen, Y., Engelman, C. D., Ferrucci, L., Hancock, L. M., Johnson, S. C., & Merten, N. (2024) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12564 · Cited by 5
LRP1 in GABAergic neurons is a key link between obesity and memory function
Rodrigues, K. C. D. C., Kim, S. C., Uner, A. A., Hou, Z.-S., Young, J., Campolim, C. M., Aydogan, A., Chung, B., Choi, A., Yang, W., et al. (2024) · Molecular Metabolism · doi:10.1016/j.molmet.2024.101941 · Cited by 7
To the Brain and Beyond: Neurological Implications of Glucagon-Like Peptide-1 Receptor Agonists
Guevara, L. R. H., Beam, W. B., & Pasternak, J. J. (2024) · Journal of Neurosurgical Anesthesiology · doi:10.1097/ana.0000000000000985 · Cited by 5
Mechanisms Underlying Obesity-induced Aβ Accumulation in Alzheimer's Disease: A Qualitative Review
Wen, W., Huang, S.-M., & Zhang, B. (2024) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2309163 · Cited by 5
The Protective Role of Vitamin K in Aging and Age-Related Diseases
Kaźmierczak-Barańska, J., & Karwowski, B. T. (2024) · Nutrients · doi:10.3390/nu16244341 · Cited by 8
Alzheimer’s Disease and Diabetes
Brent, D. A., Gary, L., Aboud, Z., & Gordon, W. (2013) · InTech eBooks · doi:10.5772/54913 · Cited by 6
Disease Co-Morbidity and the Human Wnt Signaling Pathway: A Network-Wise Study
Nayak, L., Tunga, H., & De, R. K. (2013) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2012.0053 · Cited by 5
Altschul, D., Wraw, C., Galé, C. R., & Deary, I. J. (2019) · BMJ Open · doi:10.1136/bmjopen-2019-033011 · Cited by 5
Coto-Vílchez, C., Martínez-Magaña, J. J., Mora-Villalobos, L., Valerio, D., Genis-Mendoza, A. D., Silverman, J. M., Nicolini, H., Raventós, H., & Chavarria-Soley, G. (2021) · CNS Spectrums · doi:10.1017/s109285292100105x · Cited by 5
Arg972 insulin receptor substrate-1 polymorphism and risk and severity of Alzheimer’s disease
Wang, W., Yang, L., Tan, L., Wu, X., Jiang, B., & Shen, X. (2013) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2013.09.028 · Cited by 5
Neuroinflammation in Preclinical Alzheimer's Disease: A Review of Current Evidence
Watermeyer, T., Raymont, V., & Ritchie, K. A. (2018) · Journal of Alzheimer’s Disease & Parkinsonism · doi:10.4172/2161-0460.1000434 · Cited by 5
The role of lifestyle factors in primary prevention of dementia
Deckers (2017) · Research Publications (Maastricht University) · doi:10.26481/dis.20170511kd · Cited by 6
Herrero-Labrador, R., Trueba-Sáiz, Á., Martinez‐Rachadell, L., de Sevilla, M. E. F., Zegarra-Valdivia, J. A., Díaz-Pacheco, S., Fernandez, A. M., & Torres‐Alemán, I. (2020) · Research Square · doi:10.21203/rs.3.rs-60930/v1 · Cited by 5
Glycolysis-enhancing α1-adrenergic antagonists are neuroprotective in Alzheimer’s diseasePreprint
Zhang, Q., Schultz, J. L., Simmering, J. E., Kirkpatrick, B. Q., Weber, M. A., Skuodas, S., Hicks, T. P., Pierce, G., Laughlin, M. H., Bertolli, A. X., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.03.647018 · Cited by 5
Effects of natural reduced water on cognitive functions in older adults: A RCT study
Shinada, T., Kokubun, K., Takano, Y., Iki, H., Kobayashi, K., Hamasaki, T., & Taki, Y. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e38505 · Cited by 4
Barberger‐Gateau, P., Samieri, C., Féart, C., & Cunnane, S. C. (2014) · AAPS advances in the pharmaceutical sciences series · doi:10.1007/978-3-319-06151-1_20 · Cited by 4
Yin, K., Gu, X., Su, W., Chen, T., Long, J., Gong, L., Ying, Z., Dou, M., Jiang, Z., Duan, Q., et al. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e27422 · Cited by 4
Adiponectin and Alzheimer's disease: Is there a link?
Takahiro Sakai, J. I. (2014) · Inflammation and Cell Signaling · doi:10.14800/ics.154 · Cited by 4
Miura, Y., Tsumoto, H., Masui, Y., Inagaki, H., Ogawa, M., Ideno, Y., Kawakami, K., Umezawa, K., Kabayama, M., Akagi, Y., et al. (2023) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2023.130316 · Cited by 4
Li, A., Initiative, A. D. N., Du, J., Cai, Y. Q., Chen, X., Sun, K., & Guo, T. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230446 · Cited by 4
Which factors affect phenoconversion in isolated rapid eye movement sleep behavior disorder?
EVLİCE, A. T., Över, F., Balal, M., Ateş, B. E., & Aslan, K. (2023) · Sleep Medicine · doi:10.1016/j.sleep.2023.11.023 · Cited by 4
Carroll, C. M., & Benca, R. M. (2024) · Biomolecules · doi:10.3390/biom14030274 · Cited by 4
Wakasa, H., Kimura, T., Hirata, T., & Tamakoshi, A. (2024) · Endocrine · doi:10.1007/s12020-024-04014-9 · Cited by 4
Infection, inflammation and A lzheimer's disease
Schott, J. M. (2014) · European Journal of Neurology · doi:10.1111/ene.12522 · Cited by 4
Contributing Factors to Advanced Brain Aging in Depression and Anxiety DisordersPreprint
Han, L. K. M., Schnack, H. G., Brouwer, R. M., Veltman, D. J., van der Wee, N. J. A., van Tol, M., Aghajani, M., & Penninx, B. W. J. H. (2020) · medRxiv · doi:10.1101/2020.06.16.20132613 · Cited by 4
Lah, J. J., Tandon, R., Zhao, L., Watson, C. M., Elmor, M. B., Heilman, C. J., Sanders, K., Hales, C. M., Yang, H., Loring, D. W., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2577025/v1 · Cited by 4
Cytochrome P450-soluble epoxide hydrolase oxylipins, depression and cognition in type 2 diabetes
Anita, N. Z., Herrmann, N., Ryoo, S. W., Major-Orfao, C., Lin, W. Z., Kwan, F., Noor, S., Rabin, J. S., Marzolini, S., Nestor, S. M., et al. (2024) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2024.108826 · Cited by 3
Schain, M., Johansson, E., Laitinen, I., Löwenmark, A. F., Lubberink, M., Gummesson, A., Danfors, T., Nuutila, P., ESTERLINE, R. L., Johansson, L., et al. (2025) · Diabetologia · doi:10.1007/s00125-025-06405-7 · Cited by 4
Park, J. (2014) · Journal of Molecular Biomarkers & Diagnosis · doi:10.4172/2155-9929.1000190 · Cited by 3
Dementia prevention and cardiovascular risk factors: a mini-review
Suemoto, C. K. (2015) · Principles and Practice of Clinical Research Journal · doi:10.21801/ppcrj.2015.11.3 · Cited by 3
Sex-Related Differences in Alzheimer’s Disease
Acar, D., & King, C. J. (2019) · Springer eBooks · doi:10.1007/978-3-030-04245-5_25 · Cited by 3
Effect of Donepezil and Hyoscyamoside on Improving Spatial Memory in Rats With Alzheimer's Disease
Soureshjani, F. H., Kheirollahi, M., Yaghmaei, P., & Sotoodehnejadnematalahi, F. (2020) · مجله دانشگاه علوم پزشکی اراک · doi:10.32598/jams.23.4.6135.1 · Cited by 3
Improving mouse models for the study of Alzheimer's disease
Reagan, A. M., Onos, K. D., Heuer, S. E., Sasner, M., & Howell, G. R. (2022) · Current topics in developmental biology/Current Topics in Developmental Biology · doi:10.1016/bs.ctdb.2021.12.005 · Cited by 5
Johnson, C. N., McCoin, C. S., Kueck, P. J., Hawley, A. G., John, C. S., Thyfault, J. P., Swerdlow, R. H., Geiger, P. C., & Morris, J. K. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-221192 · Cited by 4
Effects of glycemic control on frailty: a multidimensional perspective
Abdelhafiz, A. H. (2023) · Hospital Practice · doi:10.1080/21548331.2023.2203622 · Cited by 3
Non-Genetic Risk Factors for Dementia and Alzheimer’s Disease
Bazzari, F. H., & Bazzari, A. H. (2023) · Jordan Medical Journal · doi:10.35516/jmj.v57i3.1673 · Cited by 3
Rola wybranych czynników ryzyka w etiopatogenezie i przebiegu choroby Alzheimera
Dudkowiak, R., Gryglas, A., Poniewierka, A., & Poniewierka, E. (2013) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 3
Ramage, F. J., Clewlow, A. S., Williams, L. M., Macleod, M. R., & Langston, R. F. (2020) · BMJ Open Science · doi:10.1136/bmjos-2020-100108 · Cited by 4
Depression, Diabetes and Dementia
Rosenblat, J. D., Mansur, R. B., Cha, D. S., Baskaran, A., & McIntyre, R. S. (2014) · Key issues in mental health (Online)/Key issues in mental health (Print) · doi:10.1159/000365529 · Cited by 3
Evidence-Based Medicine: Application in Alzheimer's Disease Research
Murad, M. H., & Montori, V. M. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-1419 · Cited by 3
Pednekar, S., Karande, S. P., Parab, M., & Pandey, D. B. (2016) · International Journal of Research in Medical Sciences · doi:10.18203/2320-6012.ijrms20161919 · Cited by 3
The db mutation improves memory in younger mice in a model of Alzheimer's disease
Zhang, L., Fernandez-Kim, S.-O., Beckett, T. L., Niedowicz, D. M., Köhler, K., Dasuri, K., Bruce‐Keller, A. J., Murphy, M. P., & Keller, J. N. (2019) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2019.04.013 · Cited by 3
Evidence-based prevention and treatment of dementia – Authors' reply
Winblad, B. G., Qiu, C., Ballard, C. G., & Johansson, G. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(16)30128-4 · Cited by 3
Nutrient signaling pathways regulate amyloid clearance and synaptic loss in Alzheimer’s diseasePreprint
Mondal, M., Bali, J., Tzioras, M., Paolicelli, R. C., Jawaid, A., Malnar, M., Dominko, K., Udayar, V., Halima, S. B., Vadodaria, K. C., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.13.381186 · Cited by 3
Alves, S. S., Servilha‐Menezes, G., Rossi, L., de Oliveira, J. A. C., Grigório-de-Sant’Ana, M., Sebollela, A. S., da Silva-Júnior, R. M. P., & Garcia‐Cairasco, N. (2025) · Journal of Neural Transmission · doi:10.1007/s00702-025-02896-1 · Cited by 3
Kučera, M., Šeblová, D., Bosmans, J. E., Broulíková, H. M., & Kearns, P. B. (2025) · European Journal of Public Health · doi:10.1093/eurpub/ckaf112 · Cited by 2
Kolenič, M., McWhinney, S. R., Selitser, M., Šafářová, N., Franke, K., Vochosková, K., Burdick, K. E., Španiel, F., & Hájek, T. (2025) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaf101 · Cited by 2
Liu, Y., Chai, K., Wang, T., Yang, Z., Ji, L., Guo, D., Cui, L., Luo, Y., Sun, N. L., & Wang, H. (2025) · Clinical Interventions in Aging · doi:10.2147/cia.s535038 · Cited by 2
Park, Y., Lee, H. W., Ye, B. S., Kim, S. Y., & Yu, Y. M. (2025) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2025.101218 · Cited by 2
BDNF alters β-cleavage of APP and subcellular distribution of BACE1
Hallam, R. D., Foran, G., Fletcher, N. K., MacPherson, R. E. K., & Necakov, A. (2026) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00642.2025 · Cited by 2
Farouk, H. (2026) · The Egyptian Journal of Internal Medicine · doi:10.1186/s43162-026-00609-y · Cited by 3
Coad, B. M., Ghomroudi, P. A., Sims, R., Aggleton, J. P., Vann, S. D., & Metzler‐Baddeley, C. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.02.004 · Cited by 2
David, S. R. N., Hussain, R. D. Z., Zulkipli, I. N., & Rajabalaya, R. (2022) · International Journal of Food Studies · doi:10.7455/ijfs/11.2.2022.a10 · Cited by 2
Detect Alzheimer’s Disease from Neuroimaging Using Artificial Intelligence Techniques
Alarjani, M. (2023) · International Conference on Computing and Information Technology (ICCIT) · doi:10.1109/iccit58132.2023.10273977 · Cited by 2
Merten, N., Fischer, M., Pinto, A. A., Chappell, R. J., & Schubert, C. R. (2024) · Frontiers in Epidemiology · doi:10.3389/fepid.2023.1299587 · Cited by 5
Nutrition and neurodegenerative diseases: Alzheimer's disease and others
Bianchi, V. E. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-91747-6.00013-5 · Cited by 2
Glucose-lipid metabolic index reflects cognitive impairment of non-diabetic elderly individuals
Zeng, Y., Zhao, X., Sang, S., Yu, S., & Zhong, C. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251352548 · Cited by 2
Acides gras oméga-3 et déclin cognitif : la controverse
Barberger‐Gateau, P., Samieri, C., Féart, C., & Cunnane, S. C. (2013) · Oléagineux Corps gras Lipides · doi:10.1051/ocl.2012.0495 · Cited by 2
Genomic Linkage Between Alzheimer's Disease and Type 2 Diabetes
Nedjadi, T., Haque, A., Alam, Q., Gan, S. H., Chaudhary, A., Abuzenadah, A. M., Damanhouri, G. A., & Kamal, M. A. (2014) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/18715273113126660140 · Cited by 2
Diabetes mellitus and Alzheimer’s disease
Salacz, P., & Csibri, É. (2011) · Orvosi Hetilap · doi:10.1556/oh.2011.29071 · Cited by 2
Engel, M., & Chen, A. (2019) · RNA technologies · doi:10.1007/978-3-030-14792-1_15 · Cited by 2
Trubnikova, O. A., Мамонтова, А. С., Tarasova, I. V., Валерьевна, М. О., Kuzmina, A. A., & Барбараш, О. Л. (2015) · Terapevticheskii arkhiv · doi:10.17116/terarkh201587169-75 · Cited by 2
Potential Consequences of Obesity on Cognitive Behavior
Kanarek, R. B., & Lieberman, H. R. (2011) · CRC Press eBooks · doi:10.1201/b11194-11 · Cited by 2
Vásquez, E., Kuniholm, M. H., Appleton, A. A., Rubin, L. H., Adimora, A. A., Fischl, M. A., Fox, E. R., Mack, W. J., Holman, S., Moran, C. A., et al. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1108313 · Cited by 1
Ожирение и болезнь Альцгеймера
Pashkovska, N. V., Pankiv, V. І., & Pashkovska, O. (2020) · INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine) · doi:10.22141/2224-0721.16.1.2020.199121 · Cited by 2
Hunt, K. F., Cheah, Y. S., & Amiel, S. A. (2011) · Wiley eBooks · doi:10.1002/9781444347319.ch9 · Cited by 2
Lipid associated polygenic enrichment in Alzheimer’s diseasePreprint
Broce, I., Tan, C. H., Fan, C. C., Witoelar, A., Wen, N., Jansen, I. E., Hess, C. P., Dillon, W. P., Glastonbury, C. M., Glymour, M. M., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/383844 · Cited by 2
Metabolism modulates network synchrony in the aging brainPreprint
Weistuch, C., Mujica-Parodi, L. R., Amgalan, A., & Dill, K. A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.17.047233 · Cited by 3
GABAergic LRP1 is a key link between obesity and memory functionPreprint
Üner, A. G., Hou, Z.-S., Aydogan, A., RODRIGUES, K., Young, J., Choi, A., Yang, W., Kim, W. S., Prévot, V., Caldarone, B. J., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.17.508390 · Cited by 2
Neuroprotective actions of hydroxytyrosol
Yeste, N., Gonzalez‐Bulnes, A., Bassols, A., & Pérez‐Valle, J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23763-8.00042-7 · Cited by 1
İvecek, H., Şekerci, A., & Şekerci, B. S. (2024) · Ankara Universitesi Eczacilik Fakultesi Dergisi · doi:10.33483/jfpau.1505825 · Cited by 1
Weinstein, A. A., de Avila, L., Fadahunsi, A. I., Price, J. K., Golabi, P., Escheik, C., Gerber, L. H., & Younossi, Z. M. (2024) · Medicine · doi:10.1097/md.0000000000040448 · Cited by 1
Hypertension acts together with Aβ pathology in late-life to promote memory loss
Ros, L. U. D., Ferrari‐Souza, J. P., Bastiani, M. A. D., Hauschild, L. A., Bellaver, B., Ferreira, P. C. L., Leffa, D. T., Povala, G., Lussier, F. Z., Chamoun, M., et al. (2026) · The Journal of Prevention of Alzheimer s Disease · doi:10.1016/j.tjpad.2026.100579 · Cited by 1
Gilbert, M. (2021) · Digital Commons - USU (Utah State University) · doi:10.26076/0068-83db · Cited by 1
OBESITY INDICES AND COGNITIVE FUNCTION IN VETERANS
MacGregor, K. L. (2012) · Cited by 1
Acides gras oméga-3 et déclin cognitif : la controverse
Barberger‐Gateau, P., Samieri, C., Féart, C., & Cunnane, S. C. (2013) · Cahiers de Nutrition et de Diététique · doi:10.1016/j.cnd.2013.03.004 · Cited by 1
Diabète de type 2 et troubles cognitifs : une revue de littérature
Pernot, B., Beaufils, É., Hommet, C., Constans, T., & Mondon, K. (2015) · NPG. Neurologie, psychiatrie, gériatrie/NPG · doi:10.1016/j.npg.2014.12.003 · Cited by 1
Autophagy and Proteostasis: A Unifying Theory of Neurodegenerative Disease
Novack, J. P. (2017) · Journal of Restorative Medicine · doi:10.14200/jrm.2017.6.0102 · Cited by 1
Kim, D.-H., & In-Jae, K. (2020) · Exercise Science · doi:10.15857/ksep.2020.29.2.178 · Cited by 1
Neurological diseases: Sex and gender evidence in stroke, migraine, and Alzheimer’s dementia
Aggarwal, N. T., & Dafer, R. M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-816569-0.00011-5 · Cited by 1
Immunological and hormonal mechanisms in Alzheimer’s disease
Trifu, S. C., Țîbîrnă, A., Drăgoi, A. M., & Cristea, B. M. (2021) · Romanian Journal of Morphology and Embryology · doi:10.47162/rjme.61.4.05 · Cited by 1
ELEMENTARY PATHOPHYSIOLOGY, TREATMENT, RISK FACTOR OF ALZHEIMER’S DISEASE
(2022) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets30873 · Cited by 2
Wu, R., Wang, Z., Jia, Z., Li, C., Wang, J., Liu, L., & Dong, M. (2023) · Nanotechnology · doi:10.1088/1361-6528/acf3ee · Cited by 1
Effects of Stress on the Brain’s Glymphatic System
Ivanovska, M., Naimova, M., & Murdjeva, M. (2023) · South East European Journal of Immunology · doi:10.3889/seejim.2023.6040 · Cited by 1
Yuan, D., Tang, H., Yang, P., & Guo, C. (2023) · British Journal Of Nutrition · doi:10.1017/s0007114523002593 · Cited by 1
IRS gene polymorphisms in Turkish patients with late-onset Alzheimer’s disease
Özkan, H., Yildiz, M., Üstündağ, A., Kara, İ. H., Güldiken, B., Süt, N., & Sipahi, T. (2025) · Molecular Biology Reports · doi:10.1007/s11033-025-10352-2 · Cited by 2
Comorbidity Between Severe Mental Disorders and Metabolic Disease
Starostina, E. G. (2025) · Springer eBooks · doi:10.1007/978-3-031-81802-8_8 · Cited by 2
Functional connectivity alterations in women with subjective cognitive decline
Parker, A., Szoeke, C., Kwan, H., Henri-Bhargava, A., & Gawryluk, J. R. (2025) · Journal of Alzheimer's disease reports · doi:10.1177/25424823251328340 · Cited by 1
Reversing the Eutrophication of the Chesapeake Bay and Its People
Cuker, B. E. (2020) · Estuaries of the world · doi:10.1007/978-3-030-45481-4_15 · Cited by 1
Inflammation and insulin resistance in Alzheimer’s disease
Nash, Y., & Frenkel, D. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-815868-5.00025-6 · Cited by 1
Ucheagwu, V. A., Ugokwe-Joseph, R., & Ajaelu, C. C. (2022) · NIgerian Journal of Neuroscience · doi:10.47081/njn2022.13.1/001
Influência de indicadores biológicos e psicológicos do estresse no declínio subjetivo da memória
Matos, T. M. (2018) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.7.2018.tde-05112018-134805 · Cited by 2
Metabolic Syndrome: A Matter of The Heart and the Brain
Jain, N. M. (2019) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2019.02.010 · Cited by 1
Stomby, A. (2015) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 1
Hypohomocysteinemia may increases the risk of dementia and Alzheimer's disease
Zou, L., & Ying, Z. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2021.09.005 · Cited by 1
Kushner, R. F., PhD, V. L. M., & FRCPath, S. K. M. F. (2013) · doi:10.1002/9781118643570.ch18 · Cited by 1
Wu, Y., Zheng, H., Xu, F., Guo, J., Liu, Z., Wang, S., Chen, X., Cao, Y., Zou, W., & Hu, S. (2022) · Research Square · doi:10.21203/rs.3.rs-1427998/v1 · Cited by 1
Brain MRI correlates of depression and vascular risk: Whitehall Imaging sub-study
Allan, C. (2014) · UCL Discovery (University College London) · Cited by 1
Arden, J. (2015) · Wiley eBooks · doi:10.1002/9781119171683.ch2
Potential Blood Biological Markers of Alzheimer's Disease
Metti, A. L. (2013) · D-Scholarship@Pitt (University of Pittsburgh)
Metadata
- Authors
- Profenno, L. A., Porsteinsson, A. P., & Faraone, S. V.
- Affiliations
- SUNY Upstate Medical University (US)
- University of Rochester Medicine (US)
- Corresponding author
- Profenno, Louis A.
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 67
- Issue
- 6
- Pages
- 505-512
- ISSN
- 0006-3223 (ISSN-L)
- OpenAlex
- W2032605307
- Cited by
- 718
- References
- 45
- Citations by year
- 2026: 19 · 2025: 41 · 2024: 55 · 2023: 51 · 2022: 44 · 2021: 47 · 2020: 55 · 2019: 65 · 2018: 39 · 2017: 43 · 2016: 41 · 2015: 52 · 2014: 50 · 2013: 46 · 2012: 44
- FWCI
- 2.84
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- SUNY Digital Repository Support (State University of New York System) (submittedVersion, cc-by-nc-nd)
- Funders
- U.S. Department of Veterans Affairs
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- Alzheimer's disease, obesity, diabetes mellitus, metabolic syndrome, body mass index, glucose concentration, insulin levels, disease risk factors, APOE ε4, comorbidities
- MeSH terms
- Aged, Alzheimer Disease, Female, Glucose, Humans, Insulin, Longitudinal Studies, Male, Mental Status Schedule, Middle Aged, Obesity, Retrospective Studies, Risk Factors, Body Mass Index, Proportional Hazards Models, PubMed, Diabetes Complications, Overweight, Apolipoprotein E4
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