Jeffrey W Ryder1, Paul Fullmer2, Roxanne E Buxton3, J Brent Crowell4, Elizabeth Goetchius3, Omar Bekdash5, John K DeWitt5, Emma Y Hwang5, Alan Feiveson6, Kirk L English2,7, Lori L Ploutz-Snyder8. 1. KBRwyle Science and Space, 2400 East NASA Parkway, Houston, TX, USA. jeffrey.ryder-1@nasa.gov. 2. Department of Clinical Health and Applied Sciences, University of Houston-Clear Lake, Houston, TX, USA. 3. Department of Health and Human Performance, University of Houston, Houston, TX, USA. 4. MEI Technologies, Houston, TX, USA. 5. KBRwyle Science and Space, 2400 East NASA Parkway, Houston, TX, USA. 6. Biomedical Research and Environmental Sciences, National Aeronautics and Space Administration, Johnson Space Center, 2101 NASA Road 1, Houston, TX, USA. 7. Exercise and Nutritional Health Institute, University of Houston-Clear Lake, Houston, TX, USA. 8. School of Kinesiology, University of Michigan, Ann Arbor, MI, USA.
Abstract
PURPOSE: To identify strength and performance thresholds below which task performance is impaired. METHODS: A new weighted suit system was used to manipulate strength-to-body-weight ratio during the performance of simulated space explorations tasks. Statistical models were used to evaluate various measures of muscle strength and performance on their ability to predict the probability that subjects could complete the tasks in an acceptable amount of time. Thresholds were defined as the point of greatest change in probability per change in the predictor variable. For each task, median time was used to define the boundary between "acceptable" and "unacceptable" completion times. RESULTS: Fitness thresholds for four space explorations tasks were identified using 23 physiological input variables. Area under receiver operator characteristic curves varied from a low of 0.68 to a high of 0.92. CONCLUSION: An experimental analog for altering strength-to-body weight combined with a probability-based statistical model for success was suitable for identifying thresholds for task performance below which tasks could either not be completed or time to completion was unacceptably high. These results provide data for strength recommendations for exploration mission ambulatory task performance. Furthermore, the approach can be used to identify thresholds for other areas where occupationally relevant tasks vary considerably.
PURPOSE: To identify strength and performance thresholds below which task performance is impaired. METHODS: A new weighted suit system was used to manipulate strength-to-body-weight ratio during the performance of simulated space explorations tasks. Statistical models were used to evaluate various measures of muscle strength and performance on their ability to predict the probability that subjects could complete the tasks in an acceptable amount of time. Thresholds were defined as the point of greatest change in probability per change in the predictor variable. For each task, median time was used to define the boundary between "acceptable" and "unacceptable" completion times. RESULTS: Fitness thresholds for four space explorations tasks were identified using 23 physiological input variables. Area under receiver operator characteristic curves varied from a low of 0.68 to a high of 0.92. CONCLUSION: An experimental analog for altering strength-to-body weight combined with a probability-based statistical model for success was suitable for identifying thresholds for task performance below which tasks could either not be completed or time to completion was unacceptably high. These results provide data for strength recommendations for exploration mission ambulatory task performance. Furthermore, the approach can be used to identify thresholds for other areas where occupationally relevant tasks vary considerably.
Entities:
Keywords:
Fitness; Power; Strength; Task; Threshold; Work
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