Chronological age is a commonly-used time metric, but there may be more relevant time measures in older adulthood. This paper reviews change point modeling, a type of analysis increasingly common in cognitive aging research but with limited application in applied research. Here, we propose a new application of such models for cognitive training studies. Change point models have the potential to assess intervention outcomes such as compression of morbidity or reduced decline after an event (e.g., reduced cognitive decline after a dementia diagnosis) as well as changes in outcome trajectories across different intervention dosages (e.g., initial vs. booster training). Through change point modeling, we can better understand how interventions impact cognitive aging trajectories.

实足年龄是一种常用的时间度量，但在老年时期可能有更相关的时间度量。本文回顾了变化点模型，这是一种在认知衰老研究中越来越常见的分析类型，但在应用研究中的应用有限。在这里，我们提出了此类模型在认知训练研究中的新应用。变化点模型有可能评估干预结果，例如发病率的压缩或事件后下降的减少（例如，痴呆诊断后认知下降的减少），以及不同干预剂量之间结果轨迹的变化（例如，初始剂量与加强剂量）训练）。通过变化点建模，我们可以更好地了解干预措施如何影响认知衰老轨迹。