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Dietary patterns and β-amyloid deposition in aging Australian women
Citation
Hill, E and Clifton, P and Goodwill, AM and Dennerstein, L and Campbell, S and Szoeke, C, Dietary patterns and β-amyloid deposition in aging Australian women, Alzheimer's & Dementia, 4 pp. 535-541. ISSN 1552-5260 (2018) [Refereed Article]
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Copyright Statement
Copyright 2018 The Authors. Published by Elsevier Inc. on behalf of the Alzheimer’s Association. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
DOI: doi:10.1016/j.trci.2018.09.007
Abstract
Methods: Dietary patterns were extrapolated for 115 participants from the Women's Health Aging Project. Aβ deposition was measured via in vivo F-18 florbetaben positron emission tomography scanning.
Results: Participants were, on average, aged 70 years (±2.63 SD), had 13 years of education (±3.57 SD), a BMI of 28 kg/m2 (±5.46 SD), and a daily energy intake of 5161 kJ (±1679.03 SD). Four dietary patterns were identified: high fat, Mediterranean, junk food, and low fat. Adherence to the junk food diet was a significant predictor of Aβ deposition (β = .10, P = .03).
Discussion: This study highlights the potential of diet to influence neurodegenerative disease and as a potential modifiable lifestyle risk factor for Alzheimer's disease.
Item Details
Item Type: | Refereed Article |
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Keywords: | Alzheimer's disease, biomarkers, diet, dietary pattern, factor analysis, neuropathology, nutrition, women, β-amyloid protein |
Research Division: | Biomedical and Clinical Sciences |
Research Group: | Nutrition and dietetics |
Research Field: | Nutrition and dietetics not elsewhere classified |
Objective Division: | Health |
Objective Group: | Public health (excl. specific population health) |
Objective Field: | Nutrition |
UTAS Author: | Hill, E (Dr Eddy Roccati) |
ID Code: | 134903 |
Year Published: | 2018 |
Deposited By: | Menzies Institute for Medical Research |
Deposited On: | 2019-09-11 |
Last Modified: | 2022-08-29 |
Downloads: | 33 View Download Statistics |
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