| タイトル | Analysis of Skeletal Muscle Metrics as Predictors of Functional Task Performance |
| 本文（外部サイト） | http://hdl.handle.net/2060/20100036576 |
| 著者（英） | Buxton, Roxanne E.; Redd, Elizabeth; Ryder, Jeffrey W.; Hackney, Kyle J.; Ploutz-Snyder, Robert J.; Ploutz-Snyder, Lori L.; Fiedler, James; Bloomberg, Jacob J.; Scott-Pandorf, Melissa |
| 著者所属（英） | NASA Johnson Space Center |
| 発行日 | 2010-01-01 |
| 言語 | eng |
| 内容記述 | PURPOSE: The ability to predict task performance using physiological performance metrics is vital to ensure that astronauts can execute their jobs safely and effectively. This investigation used a weighted suit to evaluate task performance at various ratios of strength, power, and endurance to body weight. METHODS: Twenty subjects completed muscle performance tests and functional tasks representative of those that would be required of astronauts during planetary exploration (see table for specific tests/tasks). Subjects performed functional tasks while wearing a weighted suit with additional loads ranging from 0-120% of initial body weight. Performance metrics were time to completion for all tasks except hatch opening, which consisted of total work. Task performance metrics were plotted against muscle metrics normalized to "body weight" (subject weight + external load; BW) for each trial. Fractional polynomial regression was used to model the relationship between muscle and task performance. CONCLUSION: LPMIF/BW is the best predictor of performance for predominantly lower-body tasks that are ambulatory and of short duration. LPMIF/BW is a very practical predictor of occupational task performance as it is quick and relatively safe to perform. Accordingly, bench press work best predicts hatch-opening work performance. |
| NASA分類 | Life Sciences (General) |
| レポートNO | JSC-CN-21886 |
| 権利 | Copyright, Distribution as joint owner in the copyright |
|
