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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

Cited 47 time in Web of Science Cited 41 time in Scopus
Authors
Jeong, J W; Kim, K W; Lee, D Y; Lee, S B; Park, J H; Choi, E A; Choe, J Y; Do, Y J; Ryang, J S; Roh, H A; Park, Y S; Choi, Y; Woo, J I
Issue Date
2007
Publisher
Karger
Citation
Dement Geriatr Cogn Disord 2007;24:288-293
Keywords
Age FactorsDementia/*psychology*DemographyEducational StatusFemaleHumansLinear ModelsMale*Mental Status Schedule*Psychiatric Status Rating ScalesReference ValuesSex Factors
Abstract
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, > or =80), education (0-6, 7-12, > or =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.
ISSN
1420-8008 (Print)
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17717415
Language
English
URI
http://content.karger.com/produktedb/produkte.asp?typ=pdf&file=000107592

https://hdl.handle.net/10371/24885
DOI
https://doi.org/10.1159/000107592
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College of Medicine/School of Medicine (의과대학/대학원)Psychiatry (정신과학전공)Journal Papers (저널논문_정신과학전공)
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