Predictores del rendimiento neurocognitivo en una gran muestra de adultos mayores argentinos

Q4 Medicine
Pablo Martino , Mauricio Cervigni , Matías M. Pulopulos , Miguel Gallegos , Tomás Caycho-Rodríguez , Michael White , Miguel Ángel de Bortoli , Viviana Lemos , Jorge Vivas , Daniel Politis
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引用次数: 0

Abstract

Introduction

Neurocognitive decline is one of the main negative changes associated with aging. Various factors appear to influence the magnitude of this decline. The objective of the study was to analyze the demographic, medical and lifestyle variables that predict better or worse neurocognitive performance in the older adult population.

Subjects and methods

The sample consisted of 816 Argentine older adults (age M 66.9; 74.3% women) from the general population (non-clinical). It was a non-probabilistic, intentional sampling. Participants were evaluated using two instruments, the Folstein Mini Mental State Examination (MMSE) and a questionnaire for demographic, medical, and other variables related to lifestyle. Data analysis included Student's t-test, Bonferroni-corrected multiple comparison ANOVA, Pearson correlations, and multiple linear regression.

Results

Nine factors explained 23.3% of the variance of the MMSE score (F 9.79 = 28.01, p < 0.00). Frequent mental calculations, smartphone use, computer use, frequent intellectual games, and more formal education predicted better neurocognitive performance. On the contrary, having suffered strokes, suffering from diabetes, taking chronic medication and being older all predicted poorer neurocognitive performance.

Conclusions

Nine factors demonstrate predictive capacity on neurocognitive performance in a large sample of Argentine older adults. Based on the results obtained, recommendations and practical guidelines are offered for the optimization of neurocognitive performance and primary prevention of dementias.

阿根廷老年人大样本神经认知表现的预测因素
神经认知能力下降是与衰老相关的主要负面变化之一。各种因素似乎影响了这种下降的幅度。该研究的目的是分析预测老年人神经认知表现好坏的人口统计学、医学和生活方式变量。对象和方法样本包括816名阿根廷老年人(年龄66.9岁;74.3%女性)来自普通人群(非临床)。这是一个非概率的、有意的抽样。参与者使用两种工具进行评估,Folstein迷你精神状态检查(MMSE)和人口统计、医学和其他与生活方式相关的变量问卷。数据分析包括Student's t检验、bonferroni校正的多重比较方差分析、Pearson相关和多元线性回归。结果9个因素解释了23.3%的MMSE评分方差(f9.79 = 28.01, p <0.00)。频繁的心算、使用智能手机、使用电脑、频繁的智力游戏和更正规的教育预示着更好的神经认知表现。相反,患有中风、糖尿病、长期服用药物和年龄较大的人的神经认知能力都较差。结论9个因素对阿根廷老年人的神经认知表现具有预测能力。在此基础上,提出了优化神经认知功能和痴呆一级预防的建议和实用指南。
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来源期刊
Neurologia Argentina
Neurologia Argentina Medicine-Neurology (clinical)
CiteScore
0.50
自引率
0.00%
发文量
34
期刊介绍: Neurología Argentina es la publicación oficial de la Sociedad Neurológica Argentina. Todos los artículos, publicados en español, son sometidos a un proceso de revisión sobre ciego por pares con la finalidad de ofrecer información original, relevante y de alta calidad que abarca todos los aspectos de la Neurología y la Neurociencia.
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