Age-related Longitudinal Changes in Aviator Performance
Our overall goal has been twofold: 1) to evaluate whether there are significant age-related changes in flight simulator performance near age 60, and 2) to assess whether there is an alternative model that can explain longitudinal flight simulator performance on the basis of measures of cognitive function and expertise.
|Study Design:||Observational Model: Ecologic or Community
Time Perspective: Prospective
|Official Title:||Age-related Longitudinal Changes in Aviator Performance|
- Aviation-related performance over time. [ Time Frame: longitudinal ] [ Designated as safety issue: No ]Participants "fly" in our computerized flight simulator and perform a set of brief tasks designed to measure reaction time and attention span. The study is longitudinal, collecting information about aviation-related performance over time. There is an initial training period, followed by annual visits. During the training period participants learn how to "fly" the simulator, and performance on certain standard maneuvers will be measured during a maximum of 6 simulated flights. At each annual visit, participants fly two 75-minute simulated flights and may be asked to perform up to four holding patterns and instrument landings.
Biospecimen Retention: Samples With DNA
|Study Start Date:||January 2002|
|Estimated Study Completion Date:||December 2014|
|Estimated Primary Completion Date:||December 2014 (Final data collection date for primary outcome measure)|
No intervention; observational study
Our overall goal has been twofold: 1) to evaluate whether there are significant age-related changes in flight simulator performance near age 60, and 2) to assess whether there is an alternative model that can explain longitudinal flight simulator performance on the basis of measures of cognitive function and expertise. Such a model might be able to predict change in aviator performance better than what could be predicted by chronological age alone.
Please refer to this study by its ClinicalTrials.gov identifier: NCT01364753
|Contact: Daniel Heraldez||(650) email@example.com|
|United States, California|
|VA Palo Alto Health Care System||Recruiting|
|Palo Alto, California, United States, 94304|
|Contact: Daniel Heraldez 650-852-3457 firstname.lastname@example.org|
|Principal Investigator:||Jerome A Yesavage||Stanford University|