scholarly journals Impact of missing data mechanism on the estimate of change: a case study on cognitive function and polypharmacy among older persons

2015 ◽  
pp. 169 ◽  
Author(s):  
Piia Lavikainen ◽  
Esko Leskinen ◽  
Sirpa Hartikainen ◽  
Jyrki Möttönen ◽  
Raimo Sulkava ◽  
...  
GeroPsych ◽  
2011 ◽  
Vol 24 (2) ◽  
pp. 83-92 ◽  
Author(s):  
Valentina A. Tesky ◽  
Christian Thiel ◽  
Winfried Banzer ◽  
Johannes Pantel

To investigate the effects of leisure activities on cognitive performance of healthy older subjects, an innovative intervention program was developed. Frequent participation in cognitively stimulating activities (i.e., reading, playing chess, or playing music) is associated with reduced risk of dementia. AKTIVA (active cognitive stimulation – prevention in the elderly) is an intervention program designed to enhance cognitive stimulation in everyday life by increasing cognitive stimulating leisure activities. The present study determines the effects of AKTIVA on cognitive function, mood and attitude toward aging in a sample of older participants from the general population. Several measurement instruments were used including the Alzheimer’s Disease Assessment Scale (ADAS-Cog), the Trail-Making Test (TMT), and the Memory Complaint Questionnaire (MAC-Q). Initially, the sample consisted of 307 older persons (170 female, 72 ± 7 years). The intervention was evaluated with a randomized, controlled pre-post follow-up design. Participants were randomly assigned to one of three conditions: AKTIVA intervention (n = 126), AKTIVA intervention plus nutrition and exercise counseling (n = 84), no-intervention control group (n = 97). The AKTIVA intervention consisted of 8 weekly sessions and two booster sessions after a break of 4 months. Participation in the group program resulted in positive effects on cognitive function and attitude toward aging for subassembly groups. Older persons (≥ 75 years) showed enhanced speed of information processing (by TMT Version A) (F = 4.17*, p < .05); younger participants (< 75 years) showed an improvement in subjective memory decline (by MAC-Q) (F = 2.55*, p < .05). Additionally, AKTIVA enhanced the frequency of activities for leisure activities for subassembly groups. The results of this study suggest that the AKTIVA program can be used to increase cognitively stimulating leisure activities in the elderly. Further research is necessary to identify the long-term effects of this intervention particularly with respect to the prevention of dementia.


2016 ◽  
Vol 64 (2) ◽  

Strategies to improve cognitive aging are highly needed. Among those, promotion of exercise and physical activity appears as one of the most attractive and beneficial intervention. Indeed, results from basic and clinical studies suggest that exercise and physical activity have positive effects on cognition in older persons without cognitive impairment, as well as in those with dementia. Despite inconsistent results, aerobic exercise appears to have the strongest potential to enhance cognition. However, even limited periods of walking (45 minutes, three times a week, over a 6-month period) have also been shown to enhance cognition, particularly executive functions. Changing long-term lifestyle habits in these older persons remains a critical challenge and attractive programs susceptible to gain adherence are needed to succeed in achieving improved cognitive aging.


2002 ◽  
Vol 21 (3) ◽  
pp. 123-130 ◽  
Author(s):  
Martha Clare Morris ◽  
Paul A. Scherr ◽  
Liesi E. Hebert ◽  
David A. Bennett ◽  
Robert S. Wilson ◽  
...  

2003 ◽  
Vol 1836 (1) ◽  
pp. 132-142 ◽  
Author(s):  
Brian L. Smith ◽  
William T. Scherer ◽  
James H. Conklin

Many states have implemented large-scale transportation management systems to improve mobility in urban areas. These systems are highly prone to missing and erroneous data, which results in drastically reduced data sets for analysis and real-time operations. Imputation is the practice of filling in missing data with estimated values. Currently, the transportation industry generally does not use imputation as a means for handling missing data. Other disciplines have recognized the importance of addressing missing data and, as a result, methods and software for imputing missing data are becoming widely available. The feasibility and applicability of imputing missing traffic data are addressed, and a preliminary analysis of several heuristic and statistical imputation techniques is performed. Preliminary results produced excellent performance in the case study and indicate that the statistical techniques are more accurate while maintaining the natural characteristics of the data.


Sign in / Sign up

Export Citation Format

Share Document