Leirós María, Amenedo Elena, Rodríguez Marina, Pazo-Álvarez Paula, Franco Luis, Leis Rosaura, Martínez-Olmos Miguel-Ángel, Arce Constantino
Research Group in Cognitive and Affective Neuroscience (NECEA), Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, A Coruña, Spain.
Economic Analysis and Modeling Group, Instituto de Estudios y Desarrollo de Galicia (IDEGA), Santiago de Compostela, Spain.
Front Aging Neurosci. 2022 May 24;14:880405. doi: 10.3389/fnagi.2022.880405. eCollection 2022.
Since many of the risk factors for cognitive decline can be modified by diet, the study of nutrition and its relationships with cognitive status in aging has increased considerably in recent years. However, there are hardly any studies that have assessed cognitive status using a comprehensive set of neuropsychological tests along with measures of functional capacity and mood and that have related it to nutritional status measured from several nutritional parameters that have shown its relationships with cognitive function.
To test the differences in depressive symptomatology and in several measures of nutritional status between three groups classified according to their cognitive status (CS hereafter).
One hundred thirteen participants from nursing homes in Galicia, Spain, underwent a comprehensive neuropsychological examination, including a general screening test (MMSE) and tests for different cognitive domains along with measures of activities of daily living (ADL) and assessment of depressive symptomatology (GDS-SF). According to established clinical criteria, participants were divided into three CS groups, Cognitively Intact (CI), Mild Cognitive Impairment (MCI), and All-Cause Dementia (ACD). Nutritional status was also examined using blood-derived measures, body mass index (BMI) and a nutritional screening test (MNA-SF). Differences between CS groups in all nutritional variables were studied by one-way ANOVAs with Bonferroni correction or Kruskal-Wallis with Games-Howell correction when appropriate. Multinomial logistic regression was also applied to test the association between nutritional variables and CS.
Differences between CS groups were statistically significant for depressive symptomatology, vitamin A and D, albumin, selenium (Se), uric acid (UA), and BMI. The results of multinomial logistic regression found positive associations between groups with better CS and higher concentrations of vitamins A and D, transthyretin (TTR), albumin, Se, and UA, while negative associations were found for BMI.
Higher serum levels of vitamin A, vitamin D, TTR, albumin, Se, and UA could act as protective factors against cognitive decline, whereas higher BMI could act as a risk factor.
由于认知功能下降的许多风险因素可通过饮食加以改善,近年来,关于营养及其与老年人认知状态关系的研究显著增加。然而,几乎没有研究使用一套全面的神经心理学测试以及功能能力和情绪测量方法来评估认知状态,并将其与从多个显示出与认知功能相关的营养参数测量得到的营养状况相关联。
检验根据认知状态(以下简称CS)分类的三组之间抑郁症状及几种营养状况测量指标的差异。
来自西班牙加利西亚养老院的113名参与者接受了全面的神经心理学检查,包括一项综合筛查测试(简易精神状态检查表)以及针对不同认知领域的测试,同时还进行了日常生活活动能力测量(ADL)和抑郁症状评估(老年抑郁量表简版)。根据既定的临床标准,参与者被分为三个CS组,即认知正常(CI)、轻度认知障碍(MCI)和全因性痴呆(ACD)。还通过血液检测指标、体重指数(BMI)和营养筛查测试(微型营养评定简表)来检查营养状况。当数据适当时,采用Bonferroni校正的单因素方差分析或Games-Howell校正的Kruskal-Wallis检验研究CS组之间所有营养变量的差异。还应用多项逻辑回归来检验营养变量与CS之间的关联。
CS组之间在抑郁症状、维生素A和D、白蛋白、硒(Se)、尿酸(UA)和BMI方面存在统计学显著差异。多项逻辑回归结果发现,CS状况较好的组与维生素A和D、转甲状腺素蛋白(TTR)、白蛋白、Se和UA的较高浓度呈正相关,而与BMI呈负相关。
较高的血清维生素A、维生素D、TTR、白蛋白、Se和UA水平可能是预防认知功能下降的保护因素,而较高的BMI可能是一个风险因素。