The Prevalence of Dementia in Older People in an Urban Population of Korea: The Seoul Study

Han

et al. 2014

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Background/Aims: Knowledge of incidence rates and risk factors is essential for the development of strategies to treat patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI). Methods: A subpopulation of the Nationwide Survey on Dementia Epidemiology (460 Korean subjects aged ≥65 years from 2 rural and 2 urban districts) was followed up for 3.5 years. The age-specific incidence was estimated and risk factors were identified. Results: The age-standardized incidence of AD and MCI was 7.9 and 28.1 cases per 1,000 person-years, respectively. MCI was associated with a 6-fold increased risk of AD. Depression was a risk factor for AD with MCI. Age, lack of formal education, illiteracy, rural residence, and marital status were associated with the risk of AD. Conclusion: Strategies to control modifiable risk factors should be implemented to decrease the incidence of AD. © 2014 S. Karger AG, Basel

Section: Introductionmentioning

confidence: 97%

Incidence of and Risk Factors for Alzheimer's Disease and Mild Cognitive Impairment in Korean Elderly

Bae

Han

et al. 2014

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“…The differences in these prevalence estimates of dementia may be due to different population characteristics or differences in study methodologies, such as case-finding procedures and the diagnostic threshold for dementia [7] . Furthermore, although the two previous studies on the prevalence of dementia in urban Korean elders were conducted in the two largest metropolitan cities of Korea (Seoul [3] and Busan [2] ), the study populations were not representative of the typical urban elderly population in Korea. In particular, the level of educational attainment, one of major sources of variation in dementia prevalence, was much lower in the studied samples than among Korean urban elders in general [2,3,8] .…”

Section: Prevalence Of Dementia In Korean Eldersmentioning

confidence: 99%

“…Two population-based epidemiological studies [2,3] previously reported the prevalence of dementia to be 7.2 and 8.1% in urban Korean elderly populations. These rates were higher than those reported from urban populations of other Asian and western countries [1,[4][5][6] .…”

Section: Prevalence Of Dementia In Korean Eldersmentioning

confidence: 99%

“…In Korean elders, the prevalence of Alzheimer's disease (AD) and vascular dementia (VD) has been estimated to range from 4.2 to 6.5% and 1.3 to 2.5%, respectively [3,[9][10][11] . However, although dementia with Lewy bodies (DLB) has been suggested to be the second most common type of degenerative dementia in older people [12] , the prevalence of DLB has never been investigated in Korea.…”

Section: Prevalence Of Dementia In Korean Eldersmentioning

confidence: 99%

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Prevalence of Dementia and Its Subtypes in an Elderly Urban Korean Population: Results from the Korean Longitudinal Study on Health and Aging (KLoSHA)

Jhoo

Huh

et al. 2008

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Background/Aims: We estimated the prevalence of dementia and its major subtypes in an elderly urban Korean population. Methods: A study population of 1,118 Korean elders was randomly sampled from the residents aged 65 years or older living in Seongnam, Korea. Standardized face-to-face interviews, and neurological and physical examinations were conducted on 714 respondents. Dementia was diagnosed according to the DSM-IV diagnostic criteria, and its subtypes were determined according to the criteria of the NINCDS-ADRDA, the NINDS-AIREN, and the consensus guideline proposed by McKeith et al. [Neurology 1996;47:1113–1124]. Results: The estimated age- and gender-standardized prevalences were 6.3% for dementia (95% CI = 4.5–8.1), 4.8% for Alzheimer’s disease (AD; 95% CI = 3.3–6.4), 1.0% for vascular dementia (VD; 95% CI = 0.3–1.8), and 0.4% for dementia with Lewy bodies (DLB; 95% CI = 0.0–0.9). The prevalence of AD consistently increased with age, whereas that of VD peaked at age 75–79 years and decreased thereafter. Of the dementia patients, 72.0% were in the very mild or mild stages of the disease. Conclusions: The prevalence of dementia in a typical urban area of Korea was estimated to be 6.3%, and AD was the most prevalent subtype. DLB was less prevalent than VD among these community-dwelling Korean elders.

“…All of the subjects were community-dwelling elderly, aged 55 or over, who enrolled in the Korean Longitudinal Study on Health and Aging and the Seoul Study [11] .…”

Section: Methodsmentioning

confidence: 99%

A Normative Study of the Revised Hasegawa Dementia Scale: Comparison of Demographic Influences between the Revised Hasegawa Dementia Scale and the Mini-Mental Status Examination

Jeong

Lee

et al. 2007

Background/Aims: We investigated the demographic influence on the performance of the Revised Hasegawa Dementia Scale (HDS-R) and provided normative data of the HDS-R in the elderly. Methods: The HDS-R was administered to 803 community-dwelling cognitively normal elderly subjects aged 55 years or over. Cognitive disorders and psychiatric disorders were strictly excluded using the CERAD-K assessment packet and the Mini-International Neuropsychiatric Interview. The demographic influence on the performance of the HDS-R was examined using multiple linear regression analyses, and compared with that on the performance of the Mini-Mental Status Examination (MMSE) using the Chow test and t statistics. Overlapping strata were used in developing age-, education- and gender-specific normative data of the HDS-R. Results: Age, education, and gender influenced significantly the performance of the HDS-R, and explained 22.5% of the total score variance. Older age, lower education, and male gender were associated with lower performance of the HDS-R. However, the demographic influence on the HDS-R was much weaker than that on the MMSE (t = 5.578, d.f. = 800, p < 0.001). The normative data of the HDS-R stratified by age (60–69, 70–79, ≧80), education (0–6, 7–12, ≧13), and gender were presented. Conclusions: The HDS-R was more robust to demographic influences than the MMSE, and normative data may contribute to improving further its diagnostic accuracy for dementia.