Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.
J Neurol. 2024 Nov;271(11):7294-7308. doi: 10.1007/s00415-024-12693-7. Epub 2024 Sep 22.
Cognitive performance changes during the lifespan, but the information is gathered from studies on separate age cohorts. Computerized neurocognitive testing enables efficient and similar assessments for all ages. We investigated (i) the effect of age at different stages of life and (ii) intergenerational correlations across cognitive domains in the multigenerational Young Finns Study.
Participants in three familiarly related generations (n = 6486, aged 7-92 years) performed the Cambridge Neuropsychological Test Automated Battery (CANTAB). Overall cognitive performance and domains representing learning and memory, working memory, information processing, and reaction time were extracted by common principal component analysis from the cognitive data with several age groups. Linear models were used to study the association of age, sex, and education with overall cognitive performance and in the cognitive domains. Age-adjusted intergenerational correlations were calculated.
Learning and memory peaked earlier during the lifespan compared to working memory and information processing, and the rate of decline toward old age differed by domain. Weak intergenerational correlations existed between two consecutive generations but were nonsignificant between grandparents and grandchildren. There was no systematic sex-specific transmission in any cognitive domain.
This study describes the natural course of cognitive performance across the lifespan and proves that cognitive performance changes differently across cognitive domains with weak intergenerational transmission.
认知表现会随着生命周期而变化,但这些信息是通过对不同年龄队列的研究收集的。计算机化神经认知测试可以为所有年龄段提供高效且相似的评估。我们研究了(i)在生命不同阶段的年龄效应,以及(ii)多代 Young Finns 研究中跨认知领域的代际相关性。
三代具有亲缘关系的参与者(n=6486,年龄 7-92 岁)进行了剑桥神经心理测试自动化电池(CANTAB)测试。通过常见的主成分分析,从认知数据中提取出代表学习和记忆、工作记忆、信息处理和反应时间的整体认知表现和认知领域。线性模型用于研究年龄、性别和教育与整体认知表现和认知领域的关联。计算了年龄调整后的代际相关性。
与工作记忆和信息处理相比,学习和记忆在生命周期中更早达到峰值,并且各领域的衰老速度不同。连续两代之间存在较弱的代际相关性,但祖父母和孙辈之间的相关性不显著。在任何认知领域都没有系统的性别特异性传递。
本研究描述了认知表现随生命周期的自然变化过程,并证明认知表现随认知领域的不同而不同,代际传递较弱。