Metabolism, mood and cognition in aging: the importance of lifestyle and dietary intervention
Abstract
We are witnessing an unprecedented rise in obesity and Type 2 diabetes. Until recently, study of the relation between metabolic dysregulation and higher brain function was limited. This paper summarizes the findings of a Spark workshop that focussed on the impact of obesity and diabetes on mood and cognition. Disturbances in peripheral glucose regulation are associated with cognitive impairment and depressed mood, especially in older adults. Multiple mechanisms and mediators underlie this association including insulin, glucose, neurotropic factors, glucocorticoids, inflammatory agents and reactive oxygen species. Importantly, prevention and even reversal of diabetes and obesity related cognitive impairment and depressive mood can be brought about by lifestyle modification. In particular, increasing physical fitness and moderating/changing food intake will have beneficial effects. Prevention of obesity and hyperglycemia by adopting a healthy lifestyle will contribute to the maintenance of functional integrity and mental health later in life.
Integrity signals
Registry
Cites
Statistics
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?
Diabetes is associated with impaired hippocampal function.
“diabetes is associated with impaired hippocampal function,87”
From Sleep Deprivation and Circadian Disruption (2015) · cites this paper as [87]
Cites
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011 · see citing works
Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873 · see citing works
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 · see citing works
(2008) · PsycEXTRA Dataset · doi:10.1037/e549122009-001 · Cited by 858 · see citing works
The Evolving Diabetes Burden in the United States
Engelgau, M. M., Geiss, L. S., SAADDINE, J. B., Boyle, J. P., Benjamin, S. M., Gregg, E. W., Tierney, E. F., Burrows, N. R., Mokdad, A. H., Ford, E. S., et al. (2004) · Annals of Internal Medicine · doi:10.7326/0003-4819-140-11-200406010-00035 · Cited by 658 · see citing works
Obesity, diabetes and cognitive deficit: The Framingham Heart Study
Elias, M. F., Elias, P. K., Sullivan, L. M., Wolf, P. A., & D’Agostino, R. B. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.08.019 · Cited by 395 · see citing works
Craft, S. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.08.021 · Cited by 347 · see citing works
High-fat diets, insulin resistance and declining cognitive function
Greenwood, C. E., & Winocur, G. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.08.017 · Cited by 330 · see citing works
Diabetes mellitus in midlife and the risk of dementia three decades later
Beeri, M. S., Goldbourt, U., Silverman, J. M., Noy, S., Schmeidler, J., Ravona‐Springer, R., Sverdlick, A., & Davidson, M. (2004) · Neurology · doi:10.1212/01.wnl.0000144278.79488.dd · Cited by 263 · see citing works
Carro, E., & Torres‐Alemán, I. (2004) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2004.02.050 · Cited by 262 · see citing works
Studies of the effects of high fat diets on cognitive function in a rat model
Winocur, G., & Greenwood, C. E. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.003 · Cited by 243 · see citing works
Fitness, aging and neurocognitive function
Kramer, A. F., Colcombe, S. J., McAuley, E., Scalf, P. E., & Erickson, K. I. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.009 · Cited by 233 · see citing works
Positive affect and biological function in everyday life
Steptoe, A., & Wardle, J. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.08.016 · Cited by 229 · see citing works
Prevention of Alzheimer's disease: Omega-3 fatty acid and phenolic anti-oxidant interventions
Cole, G. M., Lim, G. P., Yang, F., Teter, B., Begum, A. N., Ma, Q., Harris‐White, M. E., & Frautschy, S. A. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.005 · Cited by 225 · see citing works
The beneficial effects of fruit polyphenols on brain aging
Lau, F. C., Shukitt-Hale, B., & Joseph, J. A. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.08.007 · Cited by 217 · see citing works
Impact of impaired glucose tolerance and type 2 diabetes on cognitive aging
Messier, C. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.014 · Cited by 207 · see citing works
Links between cognitive impairment in insulin resistance: An explanatory model
Convit, A. J. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.018 · Cited by 198 · see citing works
Exercise training and depression in older adults
Barbour, K. A., & Blumenthal, J. A. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.007 · Cited by 180 · see citing works
The impact of diabetes on cognition: What can be learned from rodent models?
Biessels, G. J., & Gispen, W. H. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.08.015 · Cited by 172 · see citing works
Inflammation, the complement system and the diseases of aging
McGeer, E. G., Klegeris, A., & McGeer, P. L. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.08.008 · Cited by 170 · see citing works
Neurotrophic factors and regulation of mood: Role of exercise, diet and metabolism
Duman, R. S. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.08.018 · Cited by 157 · see citing works
Urinary cortisol excretion as a predictor of incident cognitive impairment
Karlamangla, A. S., Singer, B. H., Chodosh, J., McEwen, B. S., & Seeman, T. E. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.037 · Cited by 112 · see citing works
Self-citationGlucose and age-related changes in memory
Gold, P. E. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.002 · Cited by 96 · see citing works
Diabetes, aging, and cognitive decline
Ryan, C. M. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.006 · Cited by 88 · see citing works
Rasgon, N., & Kenna, H. A. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.004 · Cited by 63 · see citing works
Neuronal insulin signal transduction mechanisms in diabetes phenotypes
Reagan, L. P. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.001 · Cited by 56 · see citing works
The impact of recurrent hypoglycemia on cognitive function in aging
McNay, E. C. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.08.014 · Cited by 52 · see citing works
Protective environments and health status: Cross-talk between human and animal studies
Singer, B. H., Friedman, E., Seeman, T. E., Fava, G. A., & Ryff, C. D. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.08.020 · Cited by 43 · see citing works
Social and biological determinants of cognitive aging
Brunner, E. J. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.024 · Cited by 41 · see citing works
Brayne, C., Gao, L., & Matthews, F. E. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.030 · Cited by 30 · see citing works
Altered glycemia and brain—update and potential relevance to the aging brain
McCall, A. L. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.08.009 · Cited by 28 · see citing works
In pursuit of neural risk factors for weight gain in humans
DelParigi, A., Pannacciulli, N., Le, D. S. N. T., & Tataranni, P. A. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.008 · Cited by 27 · see citing works
Mediation of cognitive function by high fat diet following stress and inflammation
Yehuda, S., Rabinovitz, S., & Mostofsky, D. I. (2005) · Nutritional Neuroscience · doi:10.1080/00268970500509972 · Cited by 25 · see citing works
Designing “lifestyle interventions” with the brain in mind
Cobain, M. R., & Foreyt, J. P. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.015 · Cited by 11 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Molecular Mechanisms of Depression: Perspectives on New Treatment Strategies
Lang, U. E., & Borgwardt, S. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350094 · Cited by 8,501 · see citing works
Synaptic plasticity and depression: new insights from stress and rapid-acting antidepressants
Duman, R. S., Aghajanian, G. K., Sanacora, G., & Krystal, J. H. (2016) · Nature Medicine · doi:10.1038/nm.4050 · Cited by 1,750 · see citing works
Sleep deprivation as a neurobiologic and physiologic stressor: allostasis and allostatic load
McEwen, B. S. (2006) · Metabolism · doi:10.1016/j.metabol.2006.07.008 · Cited by 624 · see citing works
Self-citationFunctional Biomarkers of Depression: Diagnosis, Treatment, and Pathophysiology
Schmidt, H. D., Shelton, R. C., & Duman, R. S. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2011.151 · Cited by 477 · see citing works
Sleep Deprivation and Circadian Disruption
McEwen, B. S., & Karatsoreos, I. N. (2015) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2014.11.007 · Cited by 338 · see citing works
Self-citationThe Role of Leptin and Adiponectin in Obesity-Associated Cognitive Decline and Alzheimer’s Disease
Forny‐Germano, L., Felice, F. G. D., & Vieira, M. N. N. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.01027 · Cited by 298 · see citing works
Juster, R.-P., Bizik, G., Picard, M., Arsenault-Lapierre, G., Sindi, S., Trepanier, L., Marin, M.-F., Wan, N., Sekerovic, Z., Lord, C., et al. (2011) · Development and Psychopathology · doi:10.1017/s0954579411000289 · Cited by 268 · see citing works
Self-citationObesity diminishes synaptic markers, alters microglial morphology, and impairs cognitive function
Bocarsly, M. E., Fasolino, M., Kane, G. A., LaMarca, E. A., Kirschen, G. W., Karatsoreos, I. N., McEwen, B. S., & Gould, E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1511593112 · Cited by 250 · see citing works
Self-citationAlessi, J., de Oliveira, G. B., Franco, D. W., do Amaral, B. B., Becker, A. S., Knijnik, C. P., Kobe, G. L., de Carvalho, T. R., Teló, G. H., Schaan, B. D., et al. (2020) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-020-00584-6 · Cited by 139 · see citing works
The impact of dietary energy intake on cognitive aging
Mattson, M. P. (2010) · Frontiers in Aging Neuroscience · doi:10.3389/neuro.24.005.2010 · Cited by 91 · see citing works
Bahí, A., Chandrasekar, V., & Dreyer, J. (2014) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2014.04.009 · Cited by 89 · see citing works
Long-term effectiveness of health coaching in rehabilitation and prevention: A systematic review
Dejonghe, L. A. L., Becker, J., Froboese, I., & Schaller, A. (2017) · Patient Education and Counseling · doi:10.1016/j.pec.2017.04.012 · Cited by 83 · see citing works
Long Non-Coding RNA: Potential Diagnostic and Therapeutic Biomarker for Major Depressive Disorder
Cui, X., Sun, X., Niu, W., Kong, L., He, M., Zhong, A., Chen, S., Jiang, K., Zhang, L.-Y., & Cheng, Z. (2016) · Medical Science Monitor · doi:10.12659/msm.899372 · Cited by 82 · see citing works
Langdon, K. D., Clarke, J., & Corbett, D. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2011.03.028 · Cited by 75 · see citing works
Discovery of serum protein biomarkers in drug-free patients with major depressive disorder
Lee, M. Y., Kim, E. Y., Kim, S. H., Cho, K.-C., Ha, K., Kim, K. P., & Ahn, Y. M. (2016) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2016.04.009 · Cited by 74 · see citing works
Sleep Deprivation and Circadian Disruption Stress, Allostasis, and Allostatic Load
McEwen, B. S., & Karatsoreos, I. N. (2022) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2022.03.005 · Cited by 70 · see citing works
Self-citationNaismith, S. L., Glozier, N., Burke, D., Carter, P. E., Scott, E. M., & Hickie, I. B. (2009) · Early Intervention in Psychiatry · doi:10.1111/j.1751-7893.2008.00102.x · Cited by 67 · see citing works
Depression, quality of life, and glycemic control in individuals with type 2 diabetes
Lee, H., Chapa, D. W., Kao, C., Jones, D. E., Kapustin, J. F., Smith, J., Krichten, C. M., Donner, T. W., Thomas, S. A., & Friedmann, E. (2009) · Journal of the American Academy of Nurse Practitioners · doi:10.1111/j.1745-7599.2009.00396.x · Cited by 59 · see citing works
Appetite loss and neurocognitive deficits in late‐life depression
Potter, G. G., McQuoid, D. R., & Steffens, D. C. (2014) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4196 · Cited by 53 · see citing works
Matzel, L. D., Grossman, H. C., Light, K., Townsend, D. A., & Kolata, S. (2008) · Learning & Memory · doi:10.1101/lm.954808 · Cited by 52 · see citing works
Guo, H., Zhang, Y., Wang, Z., & Shen, H. (2022) · Psychology Research and Behavior Management · doi:10.2147/prbm.s353987 · Cited by 54 · see citing works
Hermans, H., & Evenhuis, H. M. (2012) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.3872 · Cited by 45 · see citing works
Biomarkers of Major Depressive Disorder: Knowing is Half the Battle
Malik, S., Singh, R., Arora, G., Dangol, A., & Goyal, S. (2021) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2021.19.1.12 · Cited by 43 · see citing works
LUPIEN, S. J., Lord, C., Sindi, S., Wilkinson, C. W., & Fiocco, A. J. (2009) · Elsevier eBooks · doi:10.1016/b978-008088783-8.00097-8 · Cited by 42 · see citing works
Critchley, C. R., Hardie, E. A., & Moore, S. M. (2012) · Diabetes Care · doi:10.2337/dc11-1183 · Cited by 40 · see citing works
Ni, X., Liao, Y., Li, L., Zhang, X., & Wu, Z. (2018) · Journal of Integrative Neuroscience · doi:10.31083/jin-170052 · Cited by 37 · see citing works
Different Effect of High Fat Diet and Physical Exercise in the Hippocampal Signaling
Muller, A. P., Cammarota, M., Dietrich, M. O., Rotta, L. N., Portela, L. V., Souza, D. O., Izquierdo, I., Bevilaqua, L. R., & Perry, M. L. S. (2007) · Neurochemical Research · doi:10.1007/s11064-007-9530-7 · Cited by 32 · see citing works
McFall, G. P., Geall, B. P., Fischer, A. L., Dolcos, S. M., & Dixon, R. A. (2010) · Neuropsychology · doi:10.1037/a0019246 · Cited by 29 · see citing works
Diabesity and brain disturbances: A metabolic perspective
Cardoso, S., & Moreira, P. I. (2018) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2018.10.002 · Cited by 28 · see citing works
Psychoneuroimmunology: the example of psoriasis.
Moynihan, J. A., Rieder, E. A., & Tausk, F. (2010) · PubMed · Cited by 27 · see citing works
Ni, X., Liao, Y., Li, L., Zhang, X., & Wu, Z. (2018) · Journal of Integrative Neuroscience · doi:10.3233/jin-170052 · Cited by 26 · see citing works
Diabesity and Brain Energy Metabolism: The Case of Alzheimer’s Disease
Cardoso, S., Seiça, R. M. F., & Moreira, P. I. (2017) · Advances in neurobiology · doi:10.1007/978-3-319-63260-5_5 · Cited by 22 · see citing works
Diet and lifestyle factors associated with cognitive performance in college students
Pilato, I. B., Beezhold, B., & Radnitz, C. L. (2020) · Journal of American College Health · doi:10.1080/07448481.2020.1847118 · Cited by 21 · see citing works
Adams, L., Koop, P.-H., Quan, H., & Norris, C. M. (2014) · Journal of Psychiatric and Mental Health Nursing · doi:10.1111/jpm.12169 · Cited by 21 · see citing works
Emotion-on-a-chip (EOC): Evolution of biochip technology to measure human emotion using body fluids
Lee, J.-H., Hwang, Y., Cheon, K.-A., & Jung, H.-I. (2012) · Medical Hypotheses · doi:10.1016/j.mehy.2012.09.002 · Cited by 20 · see citing works
Wu, M.-H., Chio, C., Tsai, K., Chang, C., Lin, N.-K., Huang, C., & Lin, M. (2015) · Molecular Neurobiology · doi:10.1007/s12035-015-9305-0 · Cited by 20 · see citing works
Olson, E. A., Mullen, S. P., Raine, L. B., Kramer, A. F., Hillman, C. H., & McAuley, E. (2016) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9850-4 · Cited by 19 · see citing works
A review of new insights into existing major depressive disorder biomarkers
Rimti, F. H., Shahbaz, R., Bhatt, K., & Xiang, A. J. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e18909 · Cited by 19 · see citing works
Sagara, T., Hitomi, Y., Kambayashi, Y., Hibino, Y., Matsuzaki, I., Sasahara, S., Ogino, K., Hatta, K., & Nakamura, H. (2009) · Environmental Health and Preventive Medicine · doi:10.1007/s12199-009-0100-2 · Cited by 17 · see citing works
Obesity and Mental Illness: Implications for Cognitive Functioning
McIntyre, R. S., Cha, D. S., Jerrell, J. M., Soczynska, J. K., Woldeyohannes, H. O., Taylor, V. H., Kaidanovich‐Beilin, O., Alsuwaidan, M. T., & Ahmed, A. T. (2013) · Advances in Therapy · doi:10.1007/s12325-013-0040-5 · Cited by 14 · see citing works
Kogan, S. M., Brody, G. H., & Chen, Y. (2009) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2009.01.016 · Cited by 14 · see citing works
LPS-dependent suppression of social exploration is augmented in type 1 diabetic mice
Lin, K.-I., Johnson, D. R., & Freund, G. G. (2007) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2007.01.004 · Cited by 13 · see citing works
Effect of Coriander Plants on Human Emotions, Brain Electrophysiology, and Salivary Secretion
Zhang, W., Li, Z., Wang, L., Liu, H., & Liu, H. (2021) · Biology · doi:10.3390/biology10121283 · Cited by 12 · see citing works
Majo, D. D., Ricciardi, N., Liberto, V. D., Allegra, M., Frinchi, M., Urone, G., Scordino, M., Massaro, A., Mudò, G., Ferraro, G., et al. (2024) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2024.117028 · Cited by 11 · see citing works
Potential Biomarkers for Predicting Depression in Diabetes Mellitus
Song, X., Zheng, Q., Zhang, R., Wang, M., Deng, W., Wang, Q., Guo, W., Li, T., & Ma, X. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.731220 · Cited by 12 · see citing works
Franco-García, J. M., Denche-Zamorano, Á. M., Carlos‐Vivas, J., Castillo-Paredes, A., Mendoza-Holgado, C., & Pérez‐Gómez, J. (2024) · Journal of Functional Morphology and Kinesiology · doi:10.3390/jfmk9030150 · Cited by 10 · see citing works
Chiu, C., Hu, S. C., Wray, L. A., & Wu, S.-T. (2016) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9770-3 · Cited by 10 · see citing works
Gambino, G., Frinchi, M., Giglia, G., Scordino, M., Urone, G., Ferraro, G., Mudò, G., Sardo, P., Majo, D. D., & Liberto, V. D. (2023) · Journal of Functional Foods · doi:10.1016/j.jff.2023.105964 · Cited by 9 · see citing works
Depression in the Context of Medical Disorders: New Pharmacological Pathways Revisited
Lang, U. E., & Walter, M. (2017) · Neurosignals · doi:10.1159/000482001 · Cited by 9 · see citing works
Li, J., & Jiang, C. (2022) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s393553 · Cited by 9 · see citing works
Biomarkers for Major Depressive Disorder: Economic Considerations
Bogavac‐Stanojević, N., & Lakić, D. (2016) · Drug Development Research · doi:10.1002/ddr.21330 · Cited by 8 · see citing works
Can treating depression improve diabetic management?
Acee, A. M., & Fahs, M. C. (2012) · The Nurse Practitioner · doi:10.1097/01.npr.0000408509.34689.72 · Cited by 5 · see citing works
Singh, C., Hempel, F., Endres, K., Engelmann, J., & Tarasov, A. (2025) · 2D Materials · doi:10.1088/2053-1583/adce17 · Cited by 4 · see citing works
Yang, J., Xu, H., Li, J., Zhao, Y., Guan, S., Fu, Y., Bao, R., & Liu, Z. (2022) · BMC Endocrine Disorders · doi:10.1186/s12902-022-01055-x · Cited by 4 · see citing works
Influence of Lifestyle on Brain Sensitivity to Circulating Insulin-like Growth Factor 1
Zegarra-Valdivia, J. A., Khan, M. Z., Putzolu, A., Cipriani, R., Pignatelli, J., & Torres‐Alemán, I. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262010008 · Cited by 2 · see citing works
Neuroimaging of Cardiovascular Disease
Cohen, R. A. (2010) · Springer eBooks · doi:10.1007/978-1-4419-6373-4_15 · Cited by 2 · see citing works
Alessi, J., de Oliveira, G. B., Franco, D. W., do Amaral, B. B., Becker, A. S., Knijnik, C. P., Kobe, G. L., de Carvalho, T. R., Teló, G. H., Schaan, B. D., et al. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3606443 · Cited by 2 · see citing works
Novel TMS-derived metrics enable machine learning classification of major depressive disorder
Pereyra, S. L., Mazzotti, D. R., Oathes, D. J., & Goldschmied, J. (2026) · NPP—Digital Psychiatry and Neuroscience · doi:10.1038/s44277-025-00053-w · Cited by 2 · see citing works
Khalil, A. I., El-Gamal, S. A. M., & Naser, R. E. (2022) · International Journal of Health Sciences · doi:10.53730/ijhs.v6ns5.12037 · Cited by 1 · see citing works
Role of Diet and Exercise in Intervention of Age‐Induced Impairments
Pandey, K. B., & Rizvi, S. I. (2015) · Wiley eBooks · doi:10.1002/9781118840634.ch12 · Cited by 1 · see citing works
The emotional and cognitive processes in obesity
Neira, I. (2015) · University of Birmingham Institutional Research Archive (University of Birmingham)
Neurovascular Protection in Old Age
Bugnicourt, J., & Chillon, J. (2011) · doi:10.1002/9781444318456.ch53
Self-efficacy, self-regulation, and physical activity behavior in type 2 diabetes
Olson, E. A. (2014) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
Hormones and allostasis in brain disease and repair
Hunter, R. G., & McEwen, B. S. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9781316529898.006
Self-citationDiabetes Mellitus and Depression as Risk Factors for Dementia: SADEM Study
Juárez‐Cedillo, T., Hsiung, G. R., Sepehry, A. A., Beattie, L. B., Jacova, C., & de la Peña, J. E. (2016) · InTech eBooks · doi:10.5772/64678
4.16 – Aging and Alzheimer's Disease
Sindi, S. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-803592-4.00082-1
Zhang, L., Chen, Y., Sun, G., Zhang, L., Hu, D., & Zhe, W. (2018) · Tropical Journal of Pharmaceutical Research · doi:10.4314/tjpr.v16i11.25
Adams, L. (2012) · ERA: Education and Research Archive (University of Alberta) · doi:10.7939/r30h2s
Bienenfeld, D., & Niemann, P. (2015) · doi:10.1002/9781118753378.ch14
The Effects Video Gameplay on Memory and Need for Cognition in Adults and Older Adults
Parker, J. A., Barclay, P. A., & Sims, V. K. (2019) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181319631482
de Almeida, R., Neto, J. H., & da Silva, E. E. P. (2021) · Debates em Psiquiatria · doi:10.25118/2763-9037.2021.v11.221 · Cited by 1 · see citing works
Psychic disorders in diabetic patients during COVID-19 pandemic
Souza, G. F. D. A., Praciano, G. D. A. F., & Souza, A. S. R. (2022) · Revista Brasileira de Saúde Materno Infantil · doi:10.1590/1806-9304202200020015
Bienenfeld, D., & Dienstag, A. (2023) · Springer eBooks · doi:10.1007/978-3-030-42825-9_72-1
Bienenfeld, D., & Dienstag, A. (2023) · Springer eBooks · doi:10.1007/978-3-030-42825-9_72-2
Anxiety and depression in patients with post-COVID-19 comorbities
da Rocha, M. D. R., Rodrigues, I. T. D. N. D., Santos, S. V. C., dos Santos, T. C. P., Santos, P. W. S., Gomes, P. R. C., Hazime, F. A., & Cardoso, V. S. (2024) · Manual Therapy Posturology & Rehabilitation Journal · doi:10.17784/mtprehabjournal.2024.22.1360
Bienenfeld, D., & Dienstag, A. (2024) · Springer eBooks · doi:10.1007/978-3-030-51366-5_72
Ahmed, F., Shah, K., Qasim, A., Hafeez, R., Tariq, H., Rehan, M., & Emad, S. (2025) · Pakistan BioMedical Journal · doi:10.54393/pbmj.v8i11.1286
Muller, A. P. (2007) · Americanae (AECID Library)
Alessi, J., de Oliveira, G. B., Franco, D. W., Brino do Amaral, B., Becker, A. S., Knijnik, C. P., Kobe, G. L., de Carvalho, T. R., Teló, G. H., Schaan, B. D., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12900838
Zandstra, M. G., Somers, M., Verwijk, E., van Eijndhoven, P., van Exel, E., Fredriksen, K. H., Loef, D., Oudega, M. L., Rovers, J. J. E., Schut, B., et al. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121874
- Authors
- Hendrickx, H., McEwen, B. S., & Ouderaa, F. V. D.
- Affiliations
- Unilever (United Kingdom) (GB)
- Rockefeller University (US)
- Corresponding author
- Hendrickx, Hilde
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2005-12
- Volume
- 26
- Issue
- 1
- Pages
- 1-5
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W2146448412
- Cited by
- 83
- References
- 34
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 4 · 2023: 4 · 2022: 6 · 2021: 4 · 2020: 4 · 2019: 2 · 2018: 3 · 2017: 4 · 2016: 10 · 2015: 6 · 2014: 4 · 2013: 2 · 2012: 5
- FWCI
- 0.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- aging, obesity, type 2 diabetes, cognitive impairment, depressive mood, glucose regulation, insulin, glucocorticoids, neuroinflammation, reactive oxygen species, neurotrophic factors, lifestyle modification, dietary intervention, physical fitness, hyperglycemia, older adults, mental health
- MeSH terms
- Affect, Aging, Animals, Cognition, Depression, Diabetes Mellitus, Type 2, Diet Therapy, Humans, Life Style, Obesity
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