MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.
Department of Psychology, University of Cambridge, Cambridge, United Kingdom.
PLoS One. 2020 May 21;15(5):e0230077. doi: 10.1371/journal.pone.0230077. eCollection 2020.
Previous evidence suggests that modifiable lifestyle factors, such as engagement in leisure activities, might slow the age-related decline of cognitive functions. Less is known, however, about which aspects of lifestyle might be particularly beneficial to healthy cognitive ageing, and whether they are associated with distinct cognitive domains (e.g. fluid and crystallized abilities) differentially. We investigated these questions in the cross-sectional Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data (N = 708, age 18-88), using data-driven exploratory structural equation modelling, confirmatory factor analyses, and age-residualized measures of cognitive differences across the lifespan. Specifically, we assessed the relative associations of the following five lifestyle factors on age-related differences of fluid and crystallized age-adjusted abilities: education/SES, physical health, mental health, social engagement, and intellectual engagement. We found that higher education, better physical and mental health, more social engagement and a greater degree of intellectual engagement were each individually correlated with better fluid and crystallized cognitive age-adjusted abilities. A joint path model of all lifestyle factors on crystallized and fluid abilities, which allowed a simultaneous assessment of the lifestyle domains, showed that physical health, social and intellectual engagement and education/SES explained unique, complementary variance, but mental health did not make significant contributions above and beyond the other four lifestyle factors and age. The total variance explained for fluid abilities was 14% and 16% for crystallized abilities. Our results are compatible with the hypothesis that intellectually and physically challenging as well as socially engaging activities are associated with better crystallized and fluid performance across the lifespan.
先前的证据表明,可改变的生活方式因素,如参与休闲活动,可能会减缓认知功能的衰老。然而,对于哪些生活方式因素可能对健康的认知衰老特别有益,以及它们是否与不同的认知领域(例如流体和晶体能力)相关,人们知之甚少。我们在横断剑桥老龄化和神经科学中心(Cam-CAN)数据(N=708,年龄 18-88 岁)中研究了这些问题,使用数据驱动的探索性结构方程建模、验证性因素分析以及跨生命周期的认知差异的年龄残差测量。具体来说,我们评估了以下五个生活方式因素对流体和晶体年龄调整能力的年龄相关差异的相对关联:教育/社会经济地位、身体健康、心理健康、社会参与度和智力参与度。我们发现,较高的教育程度、更好的身体健康、心理健康、更多的社会参与度和更大程度的智力参与度与更好的流体和晶体认知年龄调整能力相关。所有生活方式因素对晶体和流体能力的联合路径模型,允许对生活方式领域进行同时评估,表明身体健康、社会和智力参与度以及教育/社会经济地位解释了独特的、互补的方差,但心理健康除了其他四个生活方式因素和年龄之外,并没有做出显著贡献。流体能力的总解释方差为 14%,晶体能力的总解释方差为 16%。我们的结果与假设一致,即智力和身体上具有挑战性以及社交参与活动与跨生命周期更好的晶体和流体表现相关。