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Sex differences in metabolic risk indicator of dementia in an elderly urban Korean population: A community-based cross-sectional study

Authors
Kim, Yeon-HaKim, Nam HoonJung, Moon-HeeKim, Hee-Jin
Issue Date
Nov-2017
Publisher
Nihon Ronen Igakkai/Japan Geriatrics Society
Keywords
dementia; metabolic syndrome X; population; risk factors
Citation
Geriatrics and Gerontology International, v.17, no.11, pp 2136 - 2142
Pages
7
Indexed
SCIE
SSCI
SCOPUS
Journal Title
Geriatrics and Gerontology International
Volume
17
Number
11
Start Page
2136
End Page
2142
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/151244
DOI
10.1111/ggi.13049
ISSN
1444-1586
1447-0594
Abstract
AimThe aim of the present study was to evaluate the age-specific prevalence of dementia, and develop a metabolic risk indicator for dementia according to sex. MethodsThis cross-sectional study was carried out from September 2007 through December 2012 with 19 935 elderly participants in metropolitan Seoul, Korea. Multiphase assessments were used to measure metabolic risk factors and confirm dementia according to sex. Specifically, multivariate logistic regression analyses were used to identify how elderly men and women differed in regard to metabolic risk indicators of dementia. ResultsThe adjusted prevalence rates of dementia in elderly Seoul residents were estimated at 4.9%, 6.1% and 5.6% in men, women and the overall population, respectively. Stroke conferred an odds ratio of 5.14 (95% CI 3.91-6.77) and 2.55 (95% CI 2.01-3.25) in men and women, respectively. Additionally, within the female population, diabetes mellitus conferred an odds ratio of 1.29 (95% CI 1.09-1.53), whereas alcohol consumption conferred an odds ratio of 0.77 (95% CI 0.61-0.97). ConclusionsStroke played a primary role as a metabolic risk indicator of dementia in elderly men, while diabetes mellitus and alcohol abstinence were important metabolic risk factors in elderly women. Taken together, the data show that when designing preventative measures against dementia based on metabolic risk, sex needs to be taken into account. Geriatr Gerontol Int 2017; 17: 2136-2142.
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