2022 Fiscal Year Research-status Report
Nutritional approach for the cognitive frailty prevention: a 22-years cohort study of older Japanese community-dwellers.
| Project/Area Number |
22K17847
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| Research Institution | National Center for Geriatrics and Gerontology |
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Principal Investigator |
張 シュ 国立研究開発法人国立長寿医療研究センター, 研究所 老年学・社会科学研究センター, 研究員 (00874471)
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| Project Period (FY) |
2022-04-01 – 2026-03-31
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| Keywords | dietary diversity / cognitive frailty / cohort |
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| Outline of Annual Research Achievements |
This study aims to elucidate: 1) dietary factors that play important roles in preventing cognitive frailty (CF) (through different pathways); 2) possible mechanisms of any associations identified; and 3) risk factors modifying nutrition approaches for preventing and improving CF.
My main task this year was to verify the reliability and validity of the Memory Complaint Questionnaire in Japanese (MAC-Q-J) through a web-based survey. Additionally, I studied the impact of dietary diversity on the transition from robustness to CF using 14 years of cognitive function and frailty data. I found that high dietary diversity can reduce the progression from robustness to mild cognitive impairment (MCI)/frailty and from frailty to CF in a multi-state model.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The web survey was successfully conducted to collect useful information for me to verify the reliability and validity of the MAC-Q-J. It provided useful evidence for future use of this questionnaire to assess CF.
Based on the existing dietary assessment data and 14 years of cognitive function and frailty data, I was able to secure a certain number of subjects and examine association between dietary diversity and CF development. The findings obtained will be submitted to international academic journals.
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| Strategy for Future Research Activity |
I will then explore the reliability and validity of the MAC-Q using the data collected from the web survey. Also, the MAC-Q will be used in a new round of the NILS-LSA survey (10th wave) to make a more appropriate determination of participants' CF status. The data will also be further analyzed.
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| Causes of Carryover |
Due to the analysis taking longer than initially planned, we have postponed the paper presentation to the next fiscal year. Also, as the preparations for the 10th survey took longer than expected, we have carried over the funds for this year's 10th survey to the next fiscal year.
The incurring amount for the next fiscal year will be primarily used for the 10th wave of the NILS-LSA survey, as well as costs associated with conference presentations and paper publications.
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