Does the brain shrink as the waist expands?
Open accessAbstract
Recent studies suggest that being overweight or obese is related to worse cognitive performance, particularly executive function. Obesity may also increase the risk of Alzheimer's disease. Consequently, there has been increasing interest in whether adiposity is related to gray or white matter (GM, WM) atrophy. In this review, we identified and critically evaluated studies assessing obesity and GM or WM volumes either globally or in specific regions of interest (ROIs). Across all ages, higher adiposity was consistently associated with frontal GM atrophy, particularly in prefrontal cortex. In children and adults <40 years of age, most studies found no relationship between adiposity and occipital or parietal GM volumes, whereas findings for temporal lobe were mixed. In middle-aged and aged adults, a majority of studies found that higher adiposity is associated with parietal and temporal GM atrophy, whereas results for precuneus, posterior cingulate, and hippocampus were mixed. Higher adiposity had no clear association with global or regional WM in any age group. We conclude that higher adiposity may be associated with frontal GM atrophy across all ages and parietal and temporal GM atrophy in middle and old age.
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Increasing evidence links adiposity to impaired brain structure, with proof of frontal gray matter atrophy across all ages in patients with excessive body weight.
“Increasing evidence is linking adiposity to impaired brain structure, with proof of frontal gray matter atrophy across all ages in patients with excessive body weight [89,90].”
From Mediterranean diet nutrients to turn the tide against insulin resistance and related diseases (2020) · cites this paper as [89]
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Obesity, Cognitive Functioning and Dementia: Back to the Future
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Early Childhood Obesity is Associated With Compromised Cerebellar Development
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FTO, obesity and the adolescent brain
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- Haslam DW James WP 2005 Obesity Lancet 366 1197 1209 16198769
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“Increasing evidence is linking adiposity to impaired brain structure, with proof of frontal gray matter atrophy across all ages in patients with excessive body weight [89,90].”
BackgroundWeinstein, G., Zelber-Sagi, S., Preis, S. R., Beiser, A. S., DeCarli, C., Speliotes, E. K., Satizabal, C. L., Vasan, R. S., & Seshadri, S. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2017.3229 · Cited by 186 · see citing works
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Time-course effects of exercise intervention on executive function in adolescents with obesity
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- Authors
- Willette, A. A., & Kapogiannis, D.
- Affiliations
- National Institute on Aging (US)
- Corresponding author
- Kapogiannis, Dimitrios
- Venue
- Ageing Research Reviews
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 20
- Pages
- 86-97
- ISSN
- 1568-1637 (ISSN-L)
- PMC
- PMC4538938
- OpenAlex
- W2017522259
- Cited by
- 162
- References
- 145
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 6 · 2023: 10 · 2022: 12 · 2021: 23 · 2020: 13 · 2019: 16 · 2018: 25 · 2017: 12 · 2016: 15 · 2015: 8 · 2014: 1
- FWCI
- 1.65
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Ageing Research Reviews (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (ZIAAG000975)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Keywords
- obesity, adiposity, brain atrophy, gray matter atrophy, white matter, frontal lobe, prefrontal cortex, parietal lobe, temporal lobe, hippocampus, precuneus, posterior cingulate cortex, cognitive aging, Alzheimer's disease risk, executive function, brain volume
- MeSH terms
- Alzheimer Disease, Atrophy, Brain, Humans, Obesity, Organ Size, Risk Factors, Age Distribution, Adiposity, Executive Function, Functional Neuroimaging
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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.
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