Literature DB >> 24488214

Nutritional biomarkers and subsequent cognitive decline among community-dwelling older Japanese: a prospective study.

Yu Taniguchi1, Shoji Shinkai2, Mariko Nishi2, Hiroshi Murayama2, Yu Nofuji2, Hiroto Yoshida3, Yoshinori Fujiwara2.   

Abstract

BACKGROUND: Micronutrients are associated with dementia and cognitive decline among older adults. However, nutritional biomarkers of such decline have not been identified. We attempted to identify nutritional biomarkers that were independent risk markers of cognitive decline in a population of older Japanese.
METHODS: Among 873 cognitively intact adults aged 70 years or older at baseline, 682 (mean age [standard deviation], 75.5 [4.4] years; women 59.7%) were followed for a period of up to 4 years, and nutritional biomarkers in a blood panel were assessed, namely, red blood cell count, hematocrit, mean corpuscular volume, hemoglobin, total cholesterol, high-density lipoprotein cholesterol, hemoglobin A1c, creatinine, albumin, blood glucose, γ-glutamyl transpeptidase, triglyceride, and white blood cell count. Cognition was assessed by the Mini-Mental State Examination, and cognitive decline was defined as a decrease of at least three points on the Mini-Mental State Examination.
RESULTS: During an average follow-up of 2.7 years, 115 adults (16.9%) developed cognitive decline. After controlling for important confounders, the odds ratios for cognitive decline in the lowest and middle tertiles of red blood cell count were 2.62 (95% confidence interval: 1.44-4.74) and 2.18 (1.20-3.96), respectively, as compared with the highest tertile. The corresponding odds ratios were 1.81 (1.05-3.22) and 1.03 (0.58-1.83), respectively, for high-density lipoprotein cholesterol and 2.06 (1.14-3.77) and 1.02 (0.54-1.94) for albumin.
CONCLUSIONS: Low red blood cell count, high-density lipoprotein cholesterol, and albumin were independent risk markers for subsequent cognitive decline in a general population of older adults and may be useful in early clinical screening.
© The Author 2014. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Cognitive decline.; Nutritional biomarkers; Older persons

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Year:  2014        PMID: 24488214     DOI: 10.1093/gerona/glt286

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  24 in total

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Journal:  Clin Exp Nephrol       Date:  2019-12-26       Impact factor: 2.801

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4.  Cognitive function is maintained in noninstitutionalized elderly Japanese requiring care with high levels of health-related quality of life.

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Authors:  André J Xavier; Eleonora d'Orsi; Cesar M de Oliveira; Martin Orrell; Panayotes Demakakos; Jane P Biddulph; Michael G Marmot
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2014-09       Impact factor: 6.053

6.  Serum Albumin Levels and Economic Status in Japanese Older Adults.

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7.  Malnutrition in Alzheimer's Disease, Dementia with Lewy Bodies, and Frontotemporal Lobar Degeneration: Comparison Using Serum Albumin, Total Protein, and Hemoglobin Level.

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Journal:  PLoS One       Date:  2016-06-23       Impact factor: 3.240

Review 8.  Updating the Evidence on the Association between Serum Cholesterol and Risk of Late-Life Dementia: Review and Meta-Analysis.

Authors:  Kaarin J Anstey; Kimberly Ashby-Mitchell; Ruth Peters
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9.  Chewing function and related parameters as a function of the degree of dementia: Is there a link between the brain and the mouth?

Authors:  Julia Jockusch; Werner Hopfenmüller; Ina Nitschke
Journal:  J Oral Rehabil       Date:  2021-08-14       Impact factor: 3.558

10.  Prospective Study of Arterial Stiffness and Subsequent Cognitive Decline Among Community-Dwelling Older Japanese.

Authors:  Yu Taniguchi; Yoshinori Fujiwara; Yu Nofuji; Mariko Nishi; Hiroshi Murayama; Satoshi Seino; Rika Tajima; Yutaka Matsuyama; Shoji Shinkai
Journal:  J Epidemiol       Date:  2015-08-01       Impact factor: 3.211

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