Home LiteratureArticle Details
PMID: 16966548 Published · ppublish English Comparative Study Journal Article

Association of metabolic syndrome with Alzheimer disease: a population-based study.

Neurology ·Vol. 67 ·No. 5 ·2006-09-12 ·Pages 843-7

Vanhanen M, Koivisto K, Moilanen L, Helkala EL, Hänninen T, Soininen H, Kervinen K, Kesäniemi YA, Laakso M, Kuusisto J

Abstract

To assess the association of metabolic syndrome (MetS) with Alzheimer disease (AD). The authors derived subjects from a population-based study of 980 randomly selected elderly subjects. After exclusion of all non-Alzheimer dementia cases, the final study population included 959 subjects (337 men and 622 women) aged 69 to 78 years. The presence of MetS was defined according to the National Cholesterol Education Program (Adult Treatment Panel III) criteria, and the diagnosis of AD was based on the criteria of the National Institute of Neurological and Communicative Disorders and Stroke-Alzheimer's Disease and Related Disorders Association. Of the study subjects, 418 (43.6%) had MetS. Probable or possible AD was diagnosed in 45 subjects (4.7%). AD was more frequently detected in subjects with MetS than in subjects without MetS (7.2 vs 2.8%; p < 0.001). The prevalence of AD was higher in women with MetS vs women without the syndrome (8.3 vs 1.9%; p < 0.001), but in men with MetS, the prevalence of AD was not increased (3.8 vs 3.9%; p = 0.994). In univariate logistic regression analysis, MetS was significantly associated with AD (odds ratio [OR] 2.71; 95% CI 1.44 to 5.10). In multivariate logistic regression analysis including also apolipoprotein E4 phenotype, education, age, and total cholesterol, MetS was significantly associated with AD (OR 2.46; 95% CI 1.27 to 4.78). If only nondiabetic subjects were included in the multivariate analysis, MetS was still significantly associated with AD (OR 3.26; 95% CI 1.45 to 7.27). Metabolic syndrome is associated with Alzheimer disease in elderly subjects.

MeSH Terms
Aged Alzheimer Disease/epidemiology Blood Glucose Cross-Sectional Studies Dementia Female Humans Hyperinsulinism Hypertension Male Metabolic Diseases/epidemiology Obesity Odds Ratio Regression Analysis Retrospective Studies Risk Factors Sex Factors
Chemicals
Blood Glucose
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Vanhanen M
Department of Neurology and Neuroscience, Kuopio University Hospital and the University of Kuopio, Finland. matti.vanhanen@niuva.fi
Koivisto K
Moilanen L
Helkala E L
Hänninen T
Soininen H
Kervinen K
Kesäniemi Y A
Laakso M
Kuusisto J
Article Info
Journal
Neurology
Abbr.
Neurology
ISSN
1526-632X
Published
2006-09-12
Pages
843-7
Language
English
Region
United States
NLM ID
0401060
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com