A novel approach for establishing fitness standards for occupational task performance.

Jeffrey W Ryder, Paul Fullmer, Roxanne E Buxton, J Brent Crowell, Elizabeth Goetchius, Omar Bekdash, John K DeWitt, Emma Y Hwang, Alan Feiveson, Kirk L English, Lori L Ploutz-Snyder

Journal: European journal of applied physiology 2019;119(7):1633-1648

PMID: 31069517

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.

Address: KBRwyle Science and Space, 2400 East NASA Parkway, Houston, TX, USA. [email protected].; Department of Clinical Health and Applied Sciences, University of Houston-Clear Lake, Houston, TX, USA.; Department of Health and Human Performance, University of Houston, Houston, TX, USA.; MEI Technologies, Houston, TX, USA.; KBRwyle Science and Space, 2400 East NASA Parkway, Houston, TX, USA.; Biomedical Research and Environmental Sciences, National Aeronautics and Space Administration, Johnson Space Center, 2101 NASA Road 1, Houston, TX, USA.; Exercise and Nutritional Health Institute, University of Houston-Clear Lake, Houston, TX, USA.; School of Kinesiology, University of Michigan, Ann Arbor, MI, USA.

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