Cited by 718Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsDiabetes, Cardiovascular Risks, and Lipoproteins

Meta-analysis of Alzheimer’s disease risk with obesity, diabetes, and related disorders

Open access
Profenno, Louis A., Porsteinsson, Anton P., Faraone, Stephen V.·2010·Biological Psychiatry

Abstract

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.

Integrity signals

Registry

Crossref · 10.1016/j.biopsych.2009.02.013

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

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
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
  • Health Sciences › Medicine › Physiology › 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