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发育变化中的个体差异:量化老年期认知变化的幅度和异质性。

Individual Differences in Developmental Change: Quantifying the Amplitude and Heterogeneity in Cognitive Change across Old Age.

作者信息

Mella Nathalie, Fagot Delphine, Renaud Olivier, Kliegel Matthias, De Ribaupierre Anik

机构信息

Cognitive Aging Lab, University of Geneva, 1211 Geneva, Switzerland.

Center for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, 1211 Geneva, Switzerland.

出版信息

J Intell. 2018 Feb 28;6(1):10. doi: 10.3390/jintelligence6010010.

Abstract

It is well known that cognitive decline in older adults is of smaller amplitude in longitudinal than in cross-sectional studies. Yet, the measure of interest rests generally with aggregated group data. A focus on individual developmental trajectories is rare, mainly because it is difficult to assess intraindividual change reliably. Individual differences in developmental trajectories may differ quantitatively (e.g., larger or smaller decline) or qualitatively (e.g., decline vs improvement), as well as in the degree of heterogeneity of change across different cognitive domains or different tasks. The present paper aims at exploring, within the Geneva Variability Study, individual change across several cognitive domains in 92 older adults (aged 59-89 years at baseline) over a maximum of seven years and a half. Two novel, complementary methods were used to explore change in cognitive performance while remaining entirely at the intra-individual level. A bootstrap based confidence interval was estimated, for each participant and for each experimental condition, making it possible to define three patterns: stability, increase or decrease in performance. Within-person ANOVAs were also conducted for each individual on all the tasks. Those two methods allowed quantifying the direction, the amplitude and the heterogeneity of change for each individual. Results show that trajectories differed widely among individuals and that decline is far from being the rule.

摘要

众所周知,在纵向研究中,老年人认知能力下降的幅度比横断面研究中的要小。然而,人们通常关注的是汇总的群体数据。很少关注个体发展轨迹,主要是因为难以可靠地评估个体内部的变化。发展轨迹的个体差异可能在数量上有所不同(例如,下降幅度更大或更小),或在质量上有所不同(例如,下降与改善),以及在不同认知领域或不同任务中的变化异质性程度也有所不同。本文旨在通过日内瓦变异性研究,探讨92名老年人(基线年龄为59 - 89岁)在长达七年半的时间里,几个认知领域的个体变化。我们使用了两种新颖的、互补的方法来探索认知表现的变化,同时完全保持在个体内部层面。针对每个参与者和每个实验条件,估计了基于自抽样法的置信区间,从而有可能定义三种模式:表现稳定、提高或下降。还对每个个体的所有任务进行了个体内方差分析。这两种方法能够量化每个个体变化的方向、幅度和异质性。结果表明,个体之间的轨迹差异很大,下降远非普遍规律。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96c9/6480728/bb12ef42e4f7/jintelligence-06-00010-g001.jpg

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