Wu Zimu, Phyo Aung Zaw Zaw, Al-Harbi Tagrid, Woods Robyn L, Ryan Joanne
School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
PSNREC, Univ Montpellier, INSERM, Montpellier, France.
J Alzheimers Dis Rep. 2020 Oct 24;4(1):459-478. doi: 10.3233/ADR-200232.
Cognitive aging is a dynamic process in late life with significant heterogeneity across individuals.
To review the evidence for latent classes of cognitive trajectories and to identify the associated predictors and outcomes.
A systematic search was performed in MEDLINE and EMBASE for articles that identified two or more cognitive trajectories in adults. The study was conducted following the PRISMA statement.
Thirty-seven studies were included, ranging from 219 to 9,704 participants, with a mean age of 60 to 93.4 years. Most studies ( = 30) identified distinct cognitive trajectories using latent class growth analysis. The trajectory profile commonly consisted of three to four classes with progressively decreasing baseline and increasing rate of decline-a 'stable-high' class characterized as maintenance of cognitive function at high level, a 'minor-decline' class or 'stable-medium' class that declines gradually over time, and a 'rapid-decline' class with the steepest downward slope. Generally, membership of better classes was predicted by younger age, being female, more years of education, better health, healthier lifestyle, higher social engagement and lack of genetic risk variants. Some factors (e.g., education) were found to be associated with cognitive function over time only within individual classes.
Cognitive aging in late life is a dynamic process with significant inter-individual variability. However, it remains unclear whether similar patterns of cognitive aging are observed across all cognitive domains. Further research into unique factors which promote the maintenance of high-cognitive function is needed to help inform public policy.
认知老化是晚年的一个动态过程,个体间存在显著的异质性。
综述认知轨迹潜在类别存在的证据,并确定相关的预测因素和结果。
在MEDLINE和EMBASE中进行系统检索,查找确定成人中两种或更多认知轨迹的文章。该研究遵循PRISMA声明进行。
纳入了37项研究,参与者人数从219至9704不等,平均年龄为60至93.4岁。大多数研究(n = 30)使用潜在类别增长分析确定了不同的认知轨迹。轨迹概况通常由三到四个类别组成,基线逐渐降低,下降速率增加——一个“稳定-高”类别,其特征是认知功能维持在高水平;一个“轻度下降”类别或“稳定-中”类别,随时间逐渐下降;以及一个下降斜率最陡的“快速下降”类别。一般来说,年龄较小、女性、受教育年限更长、健康状况更好、生活方式更健康、社会参与度更高以及缺乏遗传风险变异可预测属于较好类别。发现一些因素(如教育)仅在个体类别内随时间与认知功能相关。
晚年的认知老化是一个具有显著个体间变异性的动态过程。然而,尚不清楚在所有认知领域是否观察到类似的认知老化模式。需要进一步研究促进维持高认知功能独特因素,以为公共政策提供信息。