| Project/Area Number |
18590598
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Public health/Health science
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| Research Institution | Kyoto University |
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Principal Investigator |
TAKECHI Hajime Kyoto University, Graduate School of Medicine, Assistant Professor (10314197)
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| Project Period (FY) |
2006 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥4,010,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥510,000)
Fiscal Year 2007: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2006: ¥1,800,000 (Direct Cost: ¥1,800,000)
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| Keywords | cognitive function / activities of daily living / dementia / oldest old / old old / community-dwelling |
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| Research Abstract |
Background : Little is known regarding the normative levels of cognitive function among the oldest old. Methods : The sample included 391 community-dwelling elderly, in which 293 elderly with no disability in Activities of Daily Living (ADL) and minimal dependency in Instrumental ADL (IADL). We examined 1) domain-specific cognitive functions, 2) the nature and frequency of leisure activities, comparing the oldest old vs. younger age groups. Cognitive tests examined and their specific domains were as follow ; MMSE (general cognitive function), Word list immediate recall (learning/acquisition) from ADAS, Word list delayed recall (memory) from the ADAS, Block Designs (visuo-spatial ability) from the WAIS-R, Trail-making test A (psychomotor speed), Trail-making test B (executive function), Word Fluency Categories : Animals and Vegetables (language). Results : The oldest old (age 85 and older) showed significantly lower cognitive function in all cognitive domains compared with the youngest old (age 65-74) and old old (age 75-84). In addition to the age, educational level was also an important determinant of cognitive function. Conclusion& We showed domain specific cognitive function ranging from young old to oldest old and its dependency on age and educational level. These data will be important to detect early stage dementia and to support elderly in the community.
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