社会人口因素与总语义流畅度和项目语义流畅度指标之间的关联。

IF 2.6 3区 心理学 Q3 NEUROSCIENCES
Neuropsychology Pub Date : 2024-10-01 Epub Date: 2024-08-29 DOI:10.1037/neu0000955
Magdalena Beran, Emma L Twait, Annelot P Smit, Marleen F Posthuma, Demi van Dijk, Katherinne M Rabanal, Dayanara Rosado, Roxanna J Flores, Carolyn L Qian, Shana S Samuel, Gelan Ying, Richard Mayeux, Thomas T van Sloten, Miranda T Schram, Jennifer J Manly, Mirjam I Geerlings, Jet M J Vonk
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引用次数: 0

摘要

目的我们的目的是估计年龄、教育程度和性别与语义流利程度的关系,语义流利程度是通过标准单词总数以及新的条目级指标来衡量的,并对不同招募策略和样本组成的队列之间的关系进行描述性比较:研究使用了来自三个队列的 2391 人的横截面数据:华盛顿高地/英伍德哥伦比亚老龄化项目是一项基于社区的队列研究;动脉疾病的第二次表现--磁共振是一项基于诊所的队列研究;非裔美国人阿尔茨海默病遗传学研究是一项基于志愿者的队列研究。主要结果包括正确单词总数和六个项目级语义流畅度指标:平均聚类大小、聚类切换次数、词性/Zipf频率、习得年龄和词性决策响应时间。在每个队列中分别运行一般线性模型,以模拟社会人口变量与语义流畅度指标之间的关联:结果:在所有组群中,年龄越大,总分越低,组群切换越少。受教育程度越高,命名的单词越多,群组转换越多,命名单词的词性判断反应时间越长,出现频率越低,或获得单词的年龄越晚。与男性相比,女性与命名较少的单词、较小的词群规模、命名单词的词性判断反应时间较长以及较低的习得年龄有关。不同组群的影响强度不同,但方向相似:结论:项目层面的语义流畅度指标--类似于标准总分--对年龄、教育程度和性别的影响非常敏感。结果表明,这些社会人口因素对语义流畅性表现的影响具有地域、文化和跨语言的普遍性。(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。
The association of sociodemographic factors with total and item-level semantic fluency metrics.

Objective: We aimed to estimate the association of age, education, and sex/gender with semantic fluency performance as measured by the standard total number of words as well as novel item-level metrics and to descriptively compare associations across cohorts with different recruitment strategies and sample compositions.

Method: Cross-sectional data from 2,391 individuals from three cohorts were used: Washington Heights/Inwood Columbia Aging Project, a community-based cohort; Second Manifestations of ARTerial disease-Magnetic Resonance, a clinic-based cohort; and African American Alzheimer's Disease Genetics Study, a volunteer-based cohort. Total number of correct words and six item-level semantic fluency metrics were included as main outcomes: average cluster size, number of cluster switches, lexical/Zipf frequency, age of acquisition, and lexical decision response time. General linear models were run separately in each cohort to model the association between sociodemographic variables and semantic fluency metrics.

Results: Across cohorts, older age was associated with a lower total score and fewer cluster switches. Higher level of education was associated with naming more words, performing more cluster switches, and naming words with a longer lexical decision response time, lower frequency of occurrence, or later age of acquisition. Being female compared to male was associated with naming fewer words, smaller cluster sizes, naming words with a longer lexical decision response time, and lower age of acquisition. The effects varied in strength but were in a similar direction across cohorts.

Conclusions: Item-level semantic fluency metrics-similar to the standard total score-are sensitive to the effects of age, education, and sex/gender. The results suggest geographical, cultural, and cross-linguistic generalizability of these sociodemographic effects on semantic fluency performance. (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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