The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Association between late-life body mass index and dementia: The Kame Project
Open accessAbstract
OBJECTIVE: To examine the association between body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) and risk of dementia and its subtypes in late life. METHODS: Participants were members of the Kame Project, a population-based prospective cohort study of 1,836 Japanese Americans living in King County, WA, who had a mean age of 71.8 years and were dementia-free at baseline (1992-1994), and were followed for incident dementia through 2001. Cox proportional hazards models were used to estimate the risk of dementia, Alzheimer disease (AD), and vascular dementia (VaD) controlling for demographic and lifestyle characteristics and vascular comorbidities as a function of baseline BMI, WC, and WHR and change in BMI over time. RESULTS: Higher baseline BMI was significantly associated with a reduced risk of AD (hazard ratio [HR] = 0.56, 95% confidence interval [CI] = 0.33-0.97) in the fully adjusted model. Slower rate of decline in BMI was associated with a reduced risk of dementia (HR = 0.37, 95% CI = 0.14-0.98), with the association stronger for those who were overweight or obese (HR = 0.18, 95% CI = 0.05-0.58) compared to normal or underweight (HR = 1.00, 95% CI = 0.18-5.66) at baseline. CONCLUSION: Higher baseline body mass index (BMI) and slower declining BMI in late life are associated with a reduced risk of dementia, suggesting that low BMI or a faster decline in BMI in late life may be preclinical indicators of an underlying dementing illness, especially for those who were initially overweight or obese.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Moms, J. C., Heyman, A., Mohs, R. C., Hughes, J. P., van Belle, G., Fillenbaum, G., Mellits, E. D., & Clark, C. (1989) · Neurology · doi:10.1212/wnl.39.9.1159 · Cited by 4,130
The Body-Mass Index of Twins Who Have Been Reared Apart
Stunkard, A. J., Harris, J. R., Pedersen, N. L., & McClearn, G. E. (1990) · New England Journal of Medicine · doi:10.1056/nejm199005243222102 · Cited by 1,286
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
Body Mass Index in Midlife and Risk of Alzheimer Disease and Vascular Dementia
Whitmer, R., Gunderson, E., Quesenberry, C., Zhou, J., & Yaffe, K. (2007) · Current Alzheimer Research · doi:10.2174/156720507780362047 · Cited by 430
Leptin and its role in hippocampal synaptic plasticity
HARVEY, J., SOLOVYOVA, N., & IRVING, A. (2006) · Progress in Lipid Research · doi:10.1016/j.plipres.2006.03.001 · Cited by 202
Cited by
A Comparison of the Prevalence of Dementia in the United States in 2000 and 2012
Langa, K. M., Larson, E. B., Crimmins, E. M., Faul, J. D., Levine, D. A., Kabeto, M. U., & Weir, D. R. (2017) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2016.6807 · Cited by 910
Self-citationAnstey, K. J., Cherbuin, N., Budge, M., & Young, J. (2011) · Obesity Reviews · doi:10.1111/j.1467-789x.2010.00825.x · Cited by 855
Update on Alzheimer’s Disease Therapy and Prevention Strategies
Graham, W. V., Bonito-Oliva, A., & Sakmar, T. P. (2017) · Annual Review of Medicine · doi:10.1146/annurev-med-042915-103753 · Cited by 506
Pedditizi, E., Peters, R., & Beckett, N. (2016) · Age and Ageing · doi:10.1093/ageing/afv151 · Cited by 474
The relationship between obesity and cognitive health and decline
Dye, L., Boyle, N. B., Champ, C., & Lawton, C. (2017) · Proceedings of the Nutrition Society · doi:10.1017/s0029665117002014 · Cited by 469
Metadata
- Authors
- Hughes, T. F., Borenstein, A. R., Schofield, E., Wu, Y., & Larson, E. B.
- Venue
- Neurology
- Published
- 2009-05-19
- Volume
- 72
- Issue
- 20
- Pages
- 1741-1746
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2032933382
- Cited by
- 217
- References
- 5
- FWCI
- 7.94
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Association between late-life body mass index and dementia: The Kame Project. https://app.cochat.ai/papers/10.1212/wnl.0b013e3181a60a58
- The paper
- Hughes, T. F., Borenstein, A. R., Schofield, E., Wu, Y., & Larson, E. B. (2009). Association between late-life body mass index and dementia: The Kame Project. Neurology. https://doi.org/10.1212/wnl.0b013e3181a60a58
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.