Association of a DASH diet and magnetoencephalography in dementia-free adults with different risk levels of Alzheimer's disease.

IF 5.3 2区 医学 Q1 GERIATRICS & GERONTOLOGY
GeroScience Pub Date : 2025-04-01 Epub Date: 2024-10-01 DOI:10.1007/s11357-024-01361-3
Alfredo Trabado-Fernández, Alejandra García-Colomo, Esther Cuadrado-Soto, África Peral-Suárez, María Dolores Salas-González, Ana María Lorenzo-Mora, Aránzazu Aparicio, María Luisa Delgado-Losada, Fernando Maestú-Unturbe, Ana M López-Sobaler
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引用次数: 0

Abstract

This study explored how adherence to the DASH diet relates to electrophysiological measures in individuals at varying Alzheimer's disease (AD) risk due to family history (FH). There were 179 dementia-free subjects. DASH index was calculated, and participants were classified into different DASH adherence groups. Tertiles of relative alpha power in default mode network (DMN) regions were calculated. Multivariate logistic regression models were used to examine the association. Lower DASH adherence was associated with decreased odds of higher relative alpha power in the DMN, observed across the entire sample and specifically among those without a FH of AD. Logistic regression models indicated that participants with poorer DASH adherence had a reduced likelihood of elevated DMN alpha power, potentially influenced by vascular and amyloid-beta mechanisms. These findings underscore the dietary pattern's potential role in neural activity modulation, particularly in individuals not genetically predisposed to AD.

Abstract Image

不同阿尔茨海默病风险水平的无痴呆症成年人的 DASH 饮食与脑磁图之间的关系。
本研究探讨了坚持DASH饮食与因家族史(FH)而有不同阿尔茨海默病(AD)风险的人的电生理指标之间的关系。共有 179 名无痴呆症的受试者。计算了DASH指数,并将受试者分为不同的DASH依从性组别。计算默认模式网络(DMN)区域相对α功率的梯度。采用多变量逻辑回归模型来研究两者之间的联系。在整个样本中观察到,DASH依从性越低,DMN中相对α功率越高的几率就越低,特别是在没有AD FH的人群中。逻辑回归模型表明,DASH依从性较差的参与者DMNα功率升高的可能性降低,这可能是受血管和淀粉样β机制的影响。这些发现强调了饮食模式在神经活动调节中的潜在作用,尤其是在没有AD遗传倾向的个体中。
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来源期刊
GeroScience
GeroScience Medicine-Complementary and Alternative Medicine
CiteScore
10.50
自引率
5.40%
发文量
182
期刊介绍: GeroScience is a bi-monthly, international, peer-reviewed journal that publishes articles related to research in the biology of aging and research on biomedical applications that impact aging. The scope of articles to be considered include evolutionary biology, biophysics, genetics, genomics, proteomics, molecular biology, cell biology, biochemistry, endocrinology, immunology, physiology, pharmacology, neuroscience, and psychology.
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