Age-related Longitudinal Changes in Aviator Performance
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 139
- 试验地点
- 1
- 主要终点
- Aviation-related performance over time.
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Ecologic Or Community
- 时间视角
- Prospective
入排标准
- 年龄范围
- 45 Years 至 70 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •licensed aircraft pilot 2) 45 to 70 years of age 3) at least 100 hours of total flight experience 4) current FAA (Federal Aviation Administration) medical certificate of class III or higher
排除标准
- •taking psychotropic medications 2) taking other medications with arousal or sedative effects
结局指标
主要结局
Aviation-related performance over time.
时间窗: longitudinal
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.
次要结局
未报告次要终点
研究者
Jerome A Yesavage,
Professor
Stanford University