Unité de Psychologie de la Sénescence, University of Liège, Belgium.
Clin Interv Aging. 2013;8:377-90. doi: 10.2147/CIA.S39921. Epub 2013 Apr 11.
This paper investigates the relationship between the concept of activity (including both professional and nonprofessional) and cognitive functioning among older European individuals. In this research, we used data collected during the first wave of SHARE (Survey on Health, Ageing and Retirement in Europe), and a measurement approach known as stochastic frontier analysis, derived from the economic literature. SHARE includes a large population (n > 25,000) geographically distributed across Europe, and analyzes several dimensions simultaneously, including physical and mental health activity. The main advantages of stochastic frontier analysis are that it allows estimation of parametric function relating cognitive scores and driving factors at the boundary and disentangles frontier noise and distance to frontier components, as well as testing the effect of potential factors on these distances simultaneously. The analysis reveals that all activities are positively related to cognitive functioning in elderly people. Our results are discussed in terms of prevention of cognitive aging and Alzheimer's disease, and regarding the potential impact that some retirement programs might have on cognitive functioning in individuals across Europe.
本文研究了在欧洲老年人中,活动(包括职业和非职业活动)概念与认知功能之间的关系。在这项研究中,我们使用了 SHARE(欧洲健康、老龄化和退休调查)第一波数据,并采用了一种源自经济学文献的称为随机前沿分析的测量方法。SHARE 涵盖了分布在欧洲各地的大量人群(n > 25000),并同时分析了多个维度,包括身体和心理健康活动。随机前沿分析的主要优势在于,它允许在边界处估计与认知分数和驱动因素相关的参数函数,并分解前沿噪声和前沿距离分量,同时测试潜在因素对这些距离的影响。分析表明,所有活动都与老年人的认知功能呈正相关。我们的研究结果从预防认知衰老和阿尔茨海默病的角度进行了讨论,并探讨了一些退休计划可能对整个欧洲个体认知功能产生的潜在影响。