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Midlife and Late-Life Obesity and the Risk of Dementia: Cardiovascular Health Study
Open accessAbstract
BACKGROUND: While high adiposity in middle age appears to be related to greater dementia risk, studies exploring this association in the elderly are conflicting. OBJECTIVE: To evaluate associations between midlife and late-life obesity and risk of dementia. DESIGN: Prospective study with mean follow-up of 5.4 years (1992-1994 through 1999). SETTING: Community-dwelling sample in 4 US sites recruited from Medicare eligibility files. PARTICIPANTS: A total of 2798 adults without dementia (mean age, 74.7 years; 59.1% women) participating in the Cardiovascular Health Study who underwent magnetic resonance imaging were measured for height and weight at baseline at age 65 years or older (late life), and self-reported weight at age 50 years (midlife). Body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) was calculated at both times. MAIN OUTCOME MEASURES: Dementia, Alzheimer disease, and vascular dementia classified by a multidisciplinary committee using standardized criteria. RESULTS: Classification resulted in 480 persons with incident dementia, 245 with Alzheimer disease (no vascular dementia), and 213 with vascular dementia (with or without Alzheimer disease). In evaluations of midlife obesity, an increased risk of dementia was found for obese (BMI >30) vs normal-weight (BMI 20-25) persons, adjusted for demographics (hazard ratio [HR], 1.39; 95% confidence interval [CI], 1.03-1.87) and for cardiovascular risk factors (1.36; 0.94-1.95). The risk estimates were reversed in assessments of late-life BMI. Underweight persons (BMI <20) had an increased risk of dementia (1.62; 1.02-2.64), whereas being overweight (BMI >25-30) was not associated (0.92; 0.72-1.18) and being obese reduced the risk of dementia (0.63; 0.44-0.91) compared with those with normal BMI. CONCLUSION: These results help explain the "obesity paradox" as differences in dementia risk across time are consistent with physical changes in the trajectory toward disability.
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“High waist-hip ratio strengthened the association with hypertension and dementia in the highest quartile of waist-hip ratio.”
From Vascular Contributions to Cognitive Impairment and Dementia: A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association (2011) · cites this paper as [322]
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“It is unclear what confounding factors were taken into account in these analyses.322”
From Vascular Contributions to Cognitive Impairment and Dementia: A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association (2011) · cites this paper as [322]
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“Studies suggest that midlife and late-life central obesity increases the risk of cognitive impairment but that high late-life obesity (as assessed by BMI) may be protective.71–73”
From Defining Optimal Brain Health in Adults: A Presidential Advisory From the American Heart Association/American Stroke Association (2017) · cites this paper as [73]
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“Obesity,71–73 dyslipidemia,74–77 and high BP78,79 are also major contributors to vascular brain health.”
From Defining Optimal Brain Health in Adults: A Presidential Advisory From the American Heart Association/American Stroke Association (2017) · cites this paper as [73]
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“In contrast, late-life obesity 114 and hypertension onset after age 80 115 are associated with decreased risk of dementia.”
From 2023 Alzheimer's disease facts and figures (2023) · cites this paper as [114]
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“In the Framingham Offspring Study, higher waist-hip ratio was associated with lower cognitive function, which was measured 12 years later.”
From Vascular Contributions to Cognitive Impairment and Dementia: A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association (2011) · cites this paper as [322]
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“obesity has been linked with increased risk for neurological changes, including Alzheimer’s disease, vascular dementia, as well as brain atrophy.4,5 Indeed, obese persons also exhibit impairments on formal cognitive testing, including on tasks of attention, executive function, and memory.6,7”
From Cognitive Function After Bariatric Surgery: Evidence for Improvement 3 Years After Surgery (2014) · cites this paper as [4]
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Cites
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
The Cardiovascular Health Study: design and rationale.
Fried, L. P., Borhani, N. O., Enright, P., Furberg, C. D., Gardin, J. M., Kronmal, R. A., Kuller, L. H., Manolio, T. A., Mittelmark, M. B., Newman, A., et al. (1991) · Annals of Epidemiology · doi:10.1016/1047-2797(91)90005-w · Cited by 3,652
Self-citationHarris, M. I., Flegal, K. M., Cowie, C. C., Eberhardt, M. S., Goldstein, D. E., Little, R. R., Wiedmeyer, H.-M., & Byrd-Holt, D. D. (1998) · Diabetes Care · doi:10.2337/diacare.21.4.518 · Cited by 2,703
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
Waist circumference and not body mass index explains obesity-related health risk
Janssen, I., Katzmarzyk, P. T., & Ross, R. (2004) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/79.3.379 · Cited by 2,009
Brookmeyer, R., Gray, S. G., & Kawas, C. H. (1998) · American Journal of Public Health · doi:10.2105/ajph.88.9.1337 · Cited by 1,802
The effect of age on the association between body-mass index and mortality
Stevens, J., Cai, J., Pamuk, E. R., Williamson, D. F., Thun, M. J., & Wood, J. L. (1998) · New England Journal of Medicine · doi:10.1056/nejm199801013380101 · Cited by 1,611
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
Type 2 Diabetes, APOE Gene, and the Risk for Dementia and Related Pathologies
Peila, R., Rodriguez, B. L., & Launer, L. J. (2002) · Diabetes · doi:10.2337/diabetes.51.4.1256 · Cited by 1,207
Chui, H. C., Victoroff, J. I., Margolin, D., Jagust, W., Shankle, R., & Katzman, R. (1992) · Neurology · doi:10.1212/wnl.42.3.473 · Cited by 1,201
Cited by
Sorted by citations
Items 101–200 of 797
Xu, J., Yang, L., Lin, H., Sinha, R., & Potenza, M. N. (2011) · Human Brain Mapping · doi:10.1002/hbm.21491 · Cited by 138
Epidemiological of and risk factors for Alzheimer's disease: A review
Povová, J., Ambrož, P., Bar, M., Pavuková, V., Šerý, O., Tomášková, H., & Janout, V. (2012) · Biomedical Papers · doi:10.5507/bp.2012.055 · Cited by 143
Prehn, K., von Schwartzenberg, R. J., Mai, K., Zeitz, U., Witte, A. V., Hampel, D. J., Szela, A.-M., Fabian, S., Grittner, U., Spranger, J., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw008 · Cited by 139
Cognitive Decline in Early and Premature Menopause
Sochocka, M., Karska, J., Pszczołowska, M., Ochnik, M., Fułek, M., Fułek, K., Kurpas, D., Chojdak-Łukasiewicz, J., Rosner‐Tenerowicz, A., & Leszek, J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24076566 · Cited by 144
Decline in Weight and Incident Mild Cognitive Impairment
Alhurani, R. E., Vassilaki, M. E., Aakre, J. A., Mielke, M. M., Kremers, W. K., Machulda, M. M., Geda, Y. E., Knopman, D. S., Petersen, R. C., & Roberts, R. O. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2015.4756 · Cited by 133
Obesity, leptin, and Alzheimer's disease
Lee, E. B. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06274.x · Cited by 126
Low cerebral blood flow is associated with lower memory function in metabolic syndrome
Birdsill, A. C., Carlsson, C. M., Willette, A. A., Okonkwo, O. C., Johnson, S. C., Xu, G., Oh, J. M., Gallagher, C. L., Koscik, R. L., Jonaitis, E. M., et al. (2013) · Obesity · doi:10.1002/oby.20170 · Cited by 139
Barberger‐Gateau, P., Samieri, C., Féart, C., & Plourde, M. (2011) · Current Alzheimer Research · doi:10.2174/156720511796391926 · Cited by 133
Shefer, G., Marcus, Y., & Stern, N. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.07.015 · Cited by 128
Improved memory function two years after bariatric surgery
Alosco, M. L., Spitznagel, M. B., Strain, G. W., Devlin, M. J., Cohen, R. A., Paul, R. H., Crosby, R. D., Mitchell, J. E., & Gunstad, J. (2013) · Obesity · doi:10.1002/oby.20494 · Cited by 123
Genetic architecture of epigenetic and neuronal ageing rates in human brain regions
Lu, A. T.-H., Hannon, E. J., Levine, M. E., Crimmins, E. M., Lunnon, K., Mill, J. S., Geschwind, D. H., & Horvath, S. (2017) · Nature Communications · doi:10.1038/ncomms15353 · Cited by 121
Shared Risk Factors between Dementia and Atherosclerotic Cardiovascular Disease
Nordestgaard, L. T., Christoffersen, M., & Frikke‐Schmidt, R. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23179777 · Cited by 128
Richard, E., Andrieu, S., Solomon, A., Mangialasche, F., Ahtiluoto, S., van Charante, E. P. M., Coley, N., Fratiglioni, L., Neely, A. S., Vellas, B., et al. (2012) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2012.06.012 · Cited by 121
Bojar, M. (2009) · Cited by 120
Barron, A. M., Rosario, E. R., Elteriefi, R., & Pike, C. J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0078554 · Cited by 117
Microbial involvement in Alzheimer disease development and progression
Bulgart, H. R., Neczypor, E. W., Wold, L. E., & Mackos, A. R. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00378-4 · Cited by 116
Insulin Resistance as Common Molecular Denominator Linking Obesity to Alzheimer‘s Disease
Nuzzo, D., Picone, P., Baldassano, S., Caruana, L., Messina, E., Gammazza, A., Cappello, F., Mulè, F., & Carlo, M. (2015) · Current Alzheimer Research · doi:10.2174/1567205012666150710115506 · Cited by 119
Temporal Evolution of Cognitive Changes in Incident Hypertension
Köhler, S., Baars, M. A. E., Spauwen, P. J. J., Schievink, S. H. J., Verhey, F. R. J., & van Boxtel, M. P. J. (2013) · Hypertension · doi:10.1161/hypertensionaha.113.02096 · Cited by 118
Fox, M. M., Berzuini, C., & Knapp, L. A. (2013) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2013.08.005 · Cited by 122
Body mass index and cognitive function: the potential for reverse causation
Suemoto, C. K., Gilsanz, P., Mayeda, E. R., & Glymour, M. M. (2015) · International Journal of Obesity · doi:10.1038/ijo.2015.83 · Cited by 118
Greendale, G. A., Derby, C. A., & Maki, P. M. (2011) · Obstetrics and Gynecology Clinics of North America · doi:10.1016/j.ogc.2011.05.007 · Cited by 122
Metabolic Syndrome and Risk of Dementia in Older Adults
Forti, P., Pisacane, N., Rietti, E., Lucicesare, A., Olivelli, V., Mariani, E., Mecocci, P., & Ravaglia, G. (2010) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2010.02731.x · Cited by 112
Death by a Thousand Cuts in Alzheimer’s Disease: Hypoxia—The Prodrome
Daulatzai, M. A. (2013) · Neurotoxicity Research · doi:10.1007/s12640-013-9379-2 · Cited by 114
Arjmand, G., Abbaszadeh, M., Fardaei, M., & Eftekhari, M. H. (2022) · Scientific Reports · doi:10.1038/s41598-021-04258-9 · Cited by 110
Genetic Variants in the Fat and Obesity Associated (FTO) Gene and Risk of Alzheimer's Disease
Reitz, C., Tosto, G., Mayeux, R. P., Luchsinger, J. A., & the NIA-LOAD/NCRAD Family Study Group and the Alzheimer's Disease Neuroimaging Initiative (2012) · PLoS ONE · doi:10.1371/journal.pone.0050354 · Cited by 109
Self-citationMenopause, obesity and inflammation: interactive risk factors for Alzheimer’s disease
Christensen, A., & Pike, C. J. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00130 · Cited by 112
Effects of adiposity and metabolic dysfunction on cognition: A review
Farruggia, M. C., & Small, D. M. (2019) · Physiology & Behavior · doi:10.1016/j.physbeh.2019.112578 · Cited by 112
Ahles, T. A., & Hurria, A. (2017) · Psycho-Oncology · doi:10.1002/pon.4564 · Cited by 114
Trajectories of function and biomarkers with age: the CHS All Stars Study
Newman, A. B., Sanders, J. L., Kizer, J. R., Boudreau, R. M., Odden, M. C., Hazzouri, A. Z. A., & Arnold, A. M. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw092 · Cited by 106
Casson, I. R., Viano, D. C., Haacke, E. M., Kou, Z., & LeStrange, D. G. (2014) · Sports Health A Multidisciplinary Approach · doi:10.1177/1941738114540270 · Cited by 113
Interactions between inflammation, sex steroids, and Alzheimer’s disease risk factors
Uchoa, M. F., Moser, V. A., & Pike, C. J. (2016) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2016.09.001 · Cited by 105
Obesity-Induced Brain Neuroinflammatory and Mitochondrial Changes
Schmitt, L. O., & Gaspar, J. M. (2023) · Metabolites · doi:10.3390/metabo13010086 · Cited by 112
Puthiyedth, N., Riveros, C., Berretta, R. E., & Moscato, P. (2016) · PLoS ONE · doi:10.1371/journal.pone.0152342 · Cited by 105
Insulin Resistance and Cognitive Impairment: Evidence From Neuroimaging
Cui, Y., Tang, T., Lu, C., & Ju, S. (2022) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.28358 · Cited by 105
Someya, Y., Tamura, Y., Kaga, H., Sugimoto, D., Kadowaki, S., Suzuki, R., Aoki, S., Hattori, N., Motoi, Y., Shimada, K., et al. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.03.017 · Cited by 100
Masouleh, S. K., Arélin, K., Horstmann, A., Lampe, L., Kipping, J., Luck, T., Riedel-Heller, S. G., Schroeter, M. L., Stümvoll, M., Villringer, A., et al. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.12.020 · Cited by 99
The diabetic brain and cognition
Riederer, P., Korczyn, A. D., Ali, S. S., Bajenaru, O. A., Choi, M. S., Chopp, M., Dobrota, V. Đ., Grünblatt, E., Jellinger, K. A., Kamal, M. A., et al. (2017) · Journal of Neural Transmission · doi:10.1007/s00702-017-1763-2 · Cited by 98
Accelerated Weight Loss and Incident Dementia in an Elderly African‐American Cohort
Gao, S., Nguyen, J., Hendrie, H. C., Unverzagt, F. W., Hake, A. M., Smith‐Gamble, V., & Hall, K. S. (2010) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2010.03169.x · Cited by 96
Is Vasomotion in Cerebral Arteries Impaired in Alzheimer’s Disease?
Marco, L. Y. D., Farkas, E., Martin, C. J., Venneri, A., & Frangi, A. F. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-142976 · Cited by 94
Bello‐Chavolla, O. Y., Antonio‐Villa, N. E., Vargas‐Vázquez, A., Ávila‐Funes, J. A., & Aguilar-Salinas, C. A. (2019) · Current Diabetes Reviews · doi:10.2174/1573399815666190129155654 · Cited by 96
EFAD transgenic mice as a human APOE relevant preclinical model of Alzheimerʼns disease
Tai, L. M., Balu, D., Avila-Munoz, E., Abdullah, L., Thomas, R., Collins, N., Valencia-Olvera, A. C., & LaDu, M. J. (2017) · Journal of Lipid Research · doi:10.1194/jlr.r076315 · Cited by 93
Pegueroles, J., Initiative, A. D. N., Jiménez, A., Vilaplana, E., Montal, V., Carmona‐Iragui, M., Pané, A., Alcolea, D. A., Videla, L., Casajoana, A., et al. (2018) · Oncotarget · doi:10.18632/oncotarget.26162 · Cited by 98
Grant, W. B. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-130719 · Cited by 94
Glucagon-like peptide 1 agonist and effects on reward behaviour: A systematic review
Badulescu, S., Tabassum, A., Le, G. H., Wong, S., Phan, L., Gill, H., Llach, C.-D., McIntyre, R. S., Rosenblat, J., & Mansur, R. (2024) · Physiology & Behavior · doi:10.1016/j.physbeh.2024.114622 · Cited by 90
Advances in Vascular Cognitive Impairment
Bowler, J. V., & Gorelick, P. B. (2009) · Stroke · doi:10.1161/strokeaha.108.544650 · Cited by 90
Li, X.-Y., Zhang, M., Xu, W., Li, J., Cao, X., Yu, J., & Tan, L. (2020) · Current Alzheimer Research · doi:10.2174/1567205017666200103111253 · Cited by 92
Obesity and sex interact in the regulation of Alzheimer's disease
Moser, V. A., & Pike, C. J. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.08.021 · Cited by 91
Brain, J., Greene, L., Tang, E. Y. H., Louise, J., Salter, A. B., Beach, S., Turnbull, D. A., Siervo, M., Stephan, B. C. M., & Tully, P. J. (2023) · Frontiers in Epidemiology · doi:10.3389/fepid.2023.1095236 · Cited by 93
Khan, N. A., Baym, C. L., Monti, J. M., Raine, L. B., Drollette, E. S., Scudder, M. R., Moore, R. D., Kramer, A. F., Hillman, C. H., & Cohen, N. J. (2014) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2014.10.008 · Cited by 97
Asadbegi, M., Yaghmaei, P., Salehi, I., Ebrahim‐Habibi, A., & Komaki, A. (2016) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2016.02.005 · Cited by 87
Metabolic Dysfunction in Alzheimer’s Disease: From Basic Neurobiology to Clinical Approaches
Clarke, J. R., Ribeiro, F. C., Frozza, R. L., Felice, F. G. D., & Lourenco, M. V. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-179911 · Cited by 93
Ptacek, S. G., Irving, G. F., Čermáková, P., Eriksdotter, M., & Religa, D. (2014) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2014.199 · Cited by 91
Diabetes, related conditions, and dementia
Luchsinger, J. A. (2010) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2010.08.063 · Cited by 88
Self-citationObesity, Insulin Resistance, and Alzheimer's Disease
Hildreth, K. L., Van Pelt, R. E., & Schwartz, R. S. (2012) · Obesity · doi:10.1038/oby.2012.19 · Cited by 86
Wagner, M., Helmer, C., Tzourio, C., Berr, C., Proust‐Lima, C., & Samieri, C. (2018) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2018.2004 · Cited by 93
Obesity Accelerates Alzheimer-Related Pathology inAPOE4but notAPOE3Mice
Moser, V. A., & Pike, C. J. (2017) · eNeuro · doi:10.1523/eneuro.0077-17.2017 · Cited by 85
A Systematic Review of Longitudinal Studies Which Measure Alzheimer’s Disease Biomarkers
Lawrence, E., Vegvari, C., Ower, A. K., Hadjichrysanthou, C., de Wolf, F., & Anderson, R. M. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170261 · Cited by 89
Vascular dementia: From pathobiology to emerging perspectives
Morgan, A. E., & Auley, M. T. M. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102278 · Cited by 102
Neuroprotective effects of leptin in the context of obesity and metabolic disorders
Davis, C., Mudd, J., & Hawkins, M. A. (2014) · Neurobiology of Disease · doi:10.1016/j.nbd.2014.04.012 · Cited by 84
Siegler, I. C., Elias, M. F., Brummett, B. H., & Bosworth, H. B. (2012) · Wiley eBooks · doi:10.1002/9781118133880.hop209020 · Cited by 81
Corley, J., Shivappa, N., Hébert, J. R., Starr, J. M., & Deary, I. J. (2019) · The journal of nutrition health & aging · doi:10.1007/s12603-019-1221-y · Cited by 84
A Review of the Major Vascular Risk Factors Related to Alzheimer's Disease
Polidori, M. C., Pientka, L., & Mecocci, P. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-120871 · Cited by 80
Franke, K., Ristow, M., & Gaser, C. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00094 · Cited by 80
Body Adiposity in Later Life and the Incidence of Dementia: The Health in Men Study
Power, B., Alfonso, H. S., Flicker, L. A., Hankey, G. J., Yeap, B. B., & Almeida, O. P. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017902 · Cited by 79
Midlife predictors of Alzheimer's disease
Bendlin, B. B., Carlsson, C. M., Gleason, C. E., Johnson, S. C., Sodhi, A., Gallagher, C. L., Puglielli, L., Engelman, C. D., Ries, M. L., Xu, G., et al. (2009) · Maturitas · doi:10.1016/j.maturitas.2009.12.014 · Cited by 81
Gettens, K. M., & Gorin, A. A. (2017) · Journal of Behavioral Medicine · doi:10.1007/s10865-017-9831-5 · Cited by 77
Robert, J., Stukas, S. K., Button, E. B., Cheng, W. H., Lee, M., Fan, J., Wilkinson, A., Kulić, I., Wright, S. D., & Wellington, C. L. (2015) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2015.10.005 · Cited by 78
Leptin, Mild Cognitive Impairment, and Dementia Among Elderly Women
Hazzouri, A. Z. A., Stone, K. L., Haan, M. N., & Yaffe, K. (2012) · The Journals of Gerontology Series A · doi:10.1093/gerona/gls155 · Cited by 75
Ptacek, S. G., Kåreholt, I., Farahmand, B. Y., Cuadrado, M. L., Religa, D., & Eriksdotter, M. (2014) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2014.03.001 · Cited by 79
Zhang, R., Beyer, F., Lampe, L., Luck, T., Riedel-Heller, S. G., Loeffler, M., Schroeter, M. L., Stümvoll, M., Villringer, A., & Witte, A. V. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.028 · Cited by 74
Danat, I. M., Clifford, A., Partridge, M., Zhou, W., Bakre, A. T., Chen, A., McFeeters, D., Smith, T., Wan, Y., Copeland, J. R. M., et al. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-180763 · Cited by 75
Change in Body Mass Index Before and After Alzheimer’s Disease Onset
Gu, Y., Scarmeas, N., Cosentino, S., Brandt, J., Albert, M., Blacker, D., Dubois, B., & Stern, Y. (2014) · Current Alzheimer Research · doi:10.2174/1567205010666131120110930 · Cited by 75
Obesity, Cognitive Functioning and Dementia: Back to the Future
Elias, M. F., Goodell, A. L., & Waldstein, S. R. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-111175 · Cited by 78
Changes of individual BrainAGE during the course of the menstrual cycle
Franke, K., Hagemann, G., Schleussner, E., & Gaser, C. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.036 · Cited by 72
Obesity and Brain Function: The Brain–Body Crosstalk
Sui, S. X., & Pasco, J. A. (2020) · Medicina · doi:10.3390/medicina56100499 · Cited by 74
Martins, I. V. A., Rivers‐Auty, J., Allan, S. M., & Lawrence, C. B. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160640 · Cited by 70
Nordestgaard, L. T., Tybjærg‐Hansen, A., Nordestgaard, B. G., & Frikke‐Schmidt, R. (2017) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2017-00195 · Cited by 74
Body mass index is associated with cortical thinning with different patterns in mid- and late-life
Shaw, M. E., Sachdev, P. S., Abhayaratna, W. P., Anstey, K. J., & Cherbuin, N. (2017) · International Journal of Obesity · doi:10.1038/ijo.2017.254 · Cited by 69
Abdominal Fat, Adipose-Derived Hormones and Mild Cognitive Impairment: The J-SHIPP Study
Kamogawa, K., Kohara, K., Tabara, Y., Uetani, E., Nagai, T., Yamamoto, M., Igase, M., & Miki, T. (2010) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000321985 · Cited by 68
Joo, S. H., Yun, S. H., Kang, D. W., Hahn, C. T., Lim, H. K., & Lee, C. U. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00142 · Cited by 67
Aging, Diabetes, Obesity, and Cognitive Decline: A Population‐Based Study
Ganguli, M., Beer, J. C., Zmuda, J. M., Ryan, C. M., Sullivan, K., Chang, C. H., & Rao, R. H. (2020) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16321 · Cited by 67
Samuel, L. J., Szanton, S. L., Wolff, J. L., Ornstein, K. A., Parker, L. J., & Gitlin, L. N. (2020) · BMC Geriatrics · doi:10.1186/s12877-020-01553-4 · Cited by 69
Guaita, A., Colombo, M. M., Vaccaro, R., Fossi, S., Vitali, S. F., Forloni, G., Polito, L., Davin, A., Ferretti, V. V., & Villani, S. (2013) · BMC Geriatrics · doi:10.1186/1471-2318-13-98 · Cited by 67
Hernandez, D. C., Reesor-Oyer, L. M., & Murillo, R. (2017) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2017.01.014 · Cited by 67
Kerola, T. V., Nieminen, T. V. M., Hartikainen, S. A., Sulkava, R. O., Vuolteenaho, O. J., & Kettunen, R. (2010) · Annals of Medicine · doi:10.3109/07853891003652542 · Cited by 66
Ewers, M., Schmitz, S., Hansson, O., Walsh, C., Fitzpatrick, A. L., Bennett, D. A., Minthon, L., Trojanowski, J. Q., Shaw, L. M. J., Faluyi, Y. O., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.05.005 · Cited by 66
Self-citationLee, J.-Y., Han, K., Han, E., Kim, G., Cho, H., Kim, K. J., Lee, B., Kang, E. S., Soo, B., Brayne, C., et al. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-01491 · Cited by 65
Magnesium Status in Alzheimer’s Disease: A Systematic Review
Veronese, N., Zurlo, A., Solmi, M., Luchini, C., Trevisan, C., Bano, G., Manzato, E., Sergi, G., & Rylander, R. (2016) · American Journal of Alzheimer's Disease & Other Dementias® · doi:10.1177/1533317515602674 · Cited by 64
Fereshtehnejad, S., Vosoughi, K., Heydarpour, P., Sepanlou, S. G., Farzadfar, F., Tehrani‐Banihashemi, A., Malekzadeh, R., Sahraian, M. A., Vollset, S. E., Naghavi, M., et al. (2019) · European Journal of Neurology · doi:10.1111/ene.13972 · Cited by 63
Obesity and Diabetes Mediated Chronic Inflammation: A Potential Biomarker in Alzheimer’s Disease
Khan, M. S. H., & Hegde, V. K. (2020) · Journal of Personalized Medicine · doi:10.3390/jpm10020042 · Cited by 71
Elcombe, E. L., Lagopoulos, J., Duffy, S. L., Lewis, S. J. G., Norrie, L. M., Hickie, I. B., & Naismith, S. L. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-142016 · Cited by 66
Ishii, M., & Iadecola, C. (2015) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2015.10.029 · Cited by 63
Changes in Metabolic Syndrome Status and Risk of Dementia
Lee, J. E., Shin, D. W., Han, K., Kim, D., Yoo, J. E., Lee, J., Kim, S., Son, K. Y., Cho, B., & Kim, M. J. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9010122 · Cited by 63
Animal Models of Metabolic Disorders in the Study of Neurodegenerative Diseases: An Overview
Bem, A. F. D., Krolow, R., Farias, H. R., de Rezende, V. L., Gelain, D. P., Moreira, J. C. F., Duarte, J. M. N., & de Oliveira, J. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.604150 · Cited by 69
Gallucci, M., Mazzuco, S., Ongaro, F., Giorgi, E. D., Mecocci, P., Cesari, M., Albani, D., Forloni, G., Durante, E., Gajo, G. B., et al. (2012) · The journal of nutrition health & aging · doi:10.1007/s12603-012-0397-1 · Cited by 62
Physical activity, inflammation, and volume of the aging brain
Braskie, M. N., Boyle, C. P., Rajagopalan, P., Gutman, B. A., Toga, A. W., Raji, C. A., Tracy, R. P., Kuller, L. H., Becker, J. T., López, O. L., et al. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.05.005 · Cited by 67
Self-citationLee, D., Lind, P., Jacobs, D. R., Salihović, S., van Bavel, B., & Lind, L. (2016) · Environment International · doi:10.1016/j.envint.2016.02.001 · Cited by 63
Bell, S. P., Liu, D., Samuels, L. R., Shah, A. S., Gifford, K. A., Hohman, T. J., & Jefferson, A. L. (2017) · The journal of nutrition health & aging · doi:10.1007/s12603-017-0906-3 · Cited by 63
Obesity and brain illness: from cognitive and psychological evidences to obesity paradox
Monda, V., Marra, M. L., Perrella, R., Caviglia, G., Iavarone, A., Chieffi, S., Messina, G., Carotenuto, M., Monda, M., & Messina, A. (2017) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s148392 · Cited by 75
Rapp, S. R., Luchsinger, J. A., Baker, L. D., Blackburn, G. L., Hazuda, H. P., Demos‐McDermott, K. E., Jeffery, R. W., Keller, J. N., McCaffery, J. M., Pajewski, N. M., et al. (2017) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14692 · Cited by 62
Self-citation
Metadata
- Authors
- Fitzpatrick, A. L., Kuller, L. H., Lopez, O. L., Diehr, P., O’Meara, E. S., Longstreth, W. T., & Luchsinger, J. A.
- Affiliations
- University of Washington (US)
- University of Pittsburgh (US)
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2009-03-01
- Volume
- 66
- Issue
- 3
- Pages
- 336-42
- ISSN
- 0003-9942 (ISSN-L)
- PMC
- PMC3513375
- OpenAlex
- W2077468399
- Cited by
- 796
- References
- 42
- Citations by year
- 2026: 43 · 2025: 42 · 2024: 55 · 2023: 48 · 2022: 54 · 2021: 52 · 2020: 49 · 2019: 55 · 2018: 41 · 2017: 48 · 2016: 47 · 2015: 45 · 2014: 51 · 2013: 50 · 2012: 38
- FWCI
- 23.65
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Archives of Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (n01hc085082-026, n01hc085081-021, n01hc045133-001, n01hc085079-024, n01hc015103-009, n01hc085084-005, n01hc085085-011, n01hc085083-027, n01hc085080-026, n01hc085086-022, n01hc55222-0-0-0, n01hc075150-004, n01hc035129-010)
- National Institute on Aging (5R01 AG 15928-02, R01AG015928)
- National Heart, Lung, and Blood Institute (N01-HC-85081, N01HC85085, N01 HC085086, N01HC-85083, N01HC15103, N01 HC085079, N01 HC085083, N01HC85082, N01HC‐75150, N01 HC85086, N01 HC085080, N01 HC035129, N01HC85080, N01 HC015103, N01 HC55222, U01HL080295, N01 HC055222, N01 HC085081, N01 HC075150, N01 HC045133, N01-HC85079, N01-HC85084)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Menopause: Health Impacts and Treatments
- Health Sciences › Medicine › Oncology › Cancer Risks and Factors
- Keywords
- obesity, dementia, midlife obesity, body mass index, Alzheimer's disease, vascular dementia, obesity paradox, underweight, cardiovascular risk factors, aging
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Anthropometry, Evaluation Studies as Topic, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Obesity, Prospective Studies, Risk, Dementia, Vascular, Body Mass Index, Survival Analysis
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