Bielak Allison A M
a Department of Human Development and Family Studies , Colorado State University , Fort Collins , CO , USA.
Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2017 Jul;24(4):435-452. doi: 10.1080/13825585.2016.1221378. Epub 2016 Aug 19.
Given the limitations associated with assessing activity engagement via the frequency of specific activities, it may be valuable to consider the characteristics of an activity. The method of asking individuals to report the amount of time spent engaging in activities that have certain characteristics was compared to a specific activity questionnaire, and a daily diary regarding their relation to cognitive functioning. Participants 60-90 years old (n = 187) completed the activity measurement methods and a series of cognitive tasks. Structural equation models showed that all three activity methods were predictive of adults' cognitive performance, but no measure predicted all outcomes. Each activity measure provided unique information. Notably, the combination of the measurement types predicted more variance than any of the measures alone. There is additional power to predict cognition when multiple activity measurement methods are used, and daily assessment can be a valuable tool to augment traditional specific activity questionnaires.
鉴于通过特定活动的频率来评估活动参与度存在局限性，考虑活动的特征可能很有价值。研究将要求个体报告参与具有某些特征活动所花费时间的方法，与一份特定活动问卷以及一份关于其与认知功能关系的日常日记进行了比较。60至90岁的参与者（n = 187）完成了活动测量方法和一系列认知任务。结构方程模型表明，所有三种活动方法都能预测成年人的认知表现，但没有一种测量方法能预测所有结果。每种活动测量方法都提供了独特的信息。值得注意的是，测量类型的组合比任何一种单独的测量方法能预测更多的方差。当使用多种活动测量方法时，有额外的能力来预测认知，并且日常评估可以成为增强传统特定活动问卷的有价值工具。
