印度农村中老年人社交网络与认知能力之间的关系。

IF 2.6 3区 心理学 Q3 NEUROSCIENCES
Neuropsychology Pub Date : 2024-11-01 DOI:10.1037/neu0000971
Pooja Rai, Jonas S Sundarakumar
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引用次数: 0

摘要

研究目的先前使用全球认知测量方法进行的研究表明,社会联系与认知表现有关。我们研究了不同社会网络维度对未患痴呆症的中老年印度农村人在不同认知领域的表现所起的作用:我们利用印度农村正在进行的前瞻性老龄化队列(Srinivaspura Aging, Neuro Senescence, and COGnition)中 2525 名参与者(≥45 岁)的基线评估数据进行了研究。我们使用科恩社会网络指数(Cohen's Social Network Index)从网络多样性、网络规模和网络嵌入度三个维度对社会网络进行了评估。我们测量了记忆(叙事回忆)、视觉空间能力(几何图形空间识别、视觉空间跨度)、语言(语言流畅性、语义联想、词语理解、阅读理解)和注意力等方面的认知表现,这些都是根据文化背景进行调整的计算机化神经认知测试。统计分析采用线性回归模型,并对年龄和性别进行了调整:在调整了年龄和性别的线性回归模型中,我们发现网络多样性越大,在叙述回忆、几何图形空间识别、阅读理解、语义联想和注意力测试中的表现就越好。网络规模较大的参与者在语言流畅性和语义联想测试中的表现明显更好。此外,网络嵌入度越高的受试者,其视觉空间跨度和言语流畅性也越好:结论:网络多样性更强、网络规模更大和网络嵌入度更高的个体在多个不同的认知领域都有更好的认知表现。对这些参与者进行连续的认知监测有助于了解社交网络是否在延缓认知衰退和预防痴呆症方面发挥作用。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association between social networks and cognition among middle-aged and older adults in rural India.

Objective: Prior studies using global cognitive measures have shown that social connectedness is linked with cognitive performance. We investigate the role of different social network dimensions on performance across distinct cognitive domains among dementia-free middle-aged and older rural Indians.

Method: We utilized baseline assessment data of 2,525 participants (≥45 years) of an ongoing, prospective, aging cohort in rural India (Srinivaspura Aging, Neuro Senescence, and COGnition) for this study. We evaluated social networks using Cohen's Social Network Index on three dimensions: network diversity, network size, and network embeddedness. We measured cognitive performance on memory (narrative recall), visuospatial ability (geometric figure spatial recognition, visuospatial span), language (verbal fluency, semantic association, word comprehension, reading comprehension), and attention domains of a culturally adapted, computerized, neurocognitive test battery. Linear regression models, adjusted for age and sex, were used for statistical analysis.

Results: In the linear regression model adjusted for age and sex, we found that greater network diversity was significantly associated with better performance in narrative recall, geometric figure spatial recognition, reading comprehension, semantic association, and attention tests. Participants with a larger network size had significantly better performance in verbal fluency and semantic association tests. Further, participants with greater network embeddedness had better visuospatial span and verbal fluency.

Conclusions: Individuals having a greater network diversity, larger network size, and greater network embeddedness had better cognitive performance in multiple distinct cognitive domains. Following up these participants with serial cognitive monitoring can help understand if social networks play a role in delaying cognitive decline and protecting against dementia. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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来源期刊
Neuropsychology
Neuropsychology 医学-神经科学
CiteScore
4.10
自引率
4.20%
发文量
132
审稿时长
6-12 weeks
期刊介绍: Neuropsychology publishes original, empirical research; systematic reviews and meta-analyses; and theoretical articles on the relation between brain and human cognitive, emotional, and behavioral function.
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