Department of Psychology, University of Alberta.
Neuropsychology. 2022 Feb;36(2):128-139. doi: 10.1037/neu0000784. Epub 2021 Nov 18.
Subjective memory decline (SMD) has been identified as a potential early marker of nonnormal and accelerated cognitive decline. We performed data-driven analyses that integrated trajectory classification with prediction modeling to test declining trajectory class prediction by SMD facets, pulse pressure (PP; i.e., a robust proxy for vascular health), and sex.
The longitudinal design featured memory trajectories across a 40-year band (55-95 years) of nondemented aging ( = 580; = 70.2 years; 65% female) from the Victoria Longitudinal Study. First, latent class growth analyses identified distinct classes of memory trajectories. Second, we used the three-step method (R3STEP) to predict membership in the declining memory classes using six measures: memory complaints, memory concerns, memory compensation, memory self-efficacy, PP, and sex.
First, we identified four classes of memory aging trajectories: (a) stable memory aging (STABLE), (b) typical memory aging (TYPICAL), (c) slowly declining memory aging (SLOW), and (d) rapidly declining memory aging (RAPID). Second, more memory concerns predicted membership in the SLOW and RAPID classes. Higher PP predicted membership in the SLOW class. Male sex predicted membership in the declining (TYPICAL, SLOW, RAPID) classes.
Among SMD facets, memory concerns represent the most severe degree of apprehension about subjectively experienced memory losses. The present integrative data-driven analysis indicated that such concerns predicted membership in declining memory trajectory classes in addition to worse vascular health (higher PP) and sex (male). In nondemented aging, concerns about increasing memory failures may be veridical indicators of memory loss, especially when coupled with vascular comorbidity and being male. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
主观记忆减退（SMD）已被确定为认知功能非正常和加速衰退的潜在早期标志物。我们进行了数据驱动的分析，将轨迹分类与预测建模相结合，以测试 SMD 方面、脉搏压（PP；即血管健康的有力指标）和性别对下降轨迹分类的预测能力。
该纵向设计采用了无痴呆衰老（n = 580；年龄 = 70.2 岁；65%为女性）的 40 年（55-95 岁）记忆轨迹的纵向设计，参与者来自维多利亚纵向研究。首先，潜在类别增长分析确定了记忆轨迹的不同类别。其次，我们使用三步法（R3STEP），使用六种指标预测记忆衰退类别的成员身份：记忆抱怨、记忆担忧、记忆补偿、记忆自我效能、PP 和性别。
首先，我们确定了四种记忆衰老轨迹类别：（a）稳定的记忆衰老（STABLE）、（b）典型的记忆衰老（TYPICAL）、（c）记忆缓慢下降（SLOW）和（d）记忆快速下降（RAPID）。其次，更多的记忆担忧预测了 SLOW 和 RAPID 类别的成员身份。较高的 PP 预测了 SLOW 类别的成员身份。男性性别预测了下降（TYPICAL、SLOW、RAPID）类别的成员身份。
在 SMD 方面，记忆担忧代表了对主观经历的记忆丧失最严重的担忧程度。本综合数据驱动分析表明，除了更差的血管健康（更高的 PP）和性别（男性）外，这种担忧也预示着记忆轨迹下降类别的成员身份。在无痴呆衰老中，对记忆失败增加的担忧可能是记忆丧失的真实指标，尤其是当与血管合并症和男性性别相关联时。
