Evidence map›Paper›PMID 31069517›Full record

ArticleEuropean journal of applied physiology2019

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 and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of applied physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jeffrey W RyderKBRwyle Science and Space, 2400 East NASA Parkway, Houston, TX, USA. jeffrey.ryder-1@nasa.gov.ORCID http://orcid.org/0000-0003-4901-1168
Paul FullmerDepartment of Clinical Health and Applied Sciences, University of Houston-Clear Lake, Houston, TX, USA.
Roxanne E BuxtonDepartment of Health and Human Performance, University of Houston, Houston, TX, USA.
J Brent CrowellMEI Technologies, Houston, TX, USA.
Elizabeth GoetchiusDepartment of Health and Human Performance, University of Houston, Houston, TX, USA.
Omar BekdashKBRwyle Science and Space, 2400 East NASA Parkway, Houston, TX, USA.
John K DeWittKBRwyle Science and Space, 2400 East NASA Parkway, Houston, TX, USA.
Emma Y HwangKBRwyle Science and Space, 2400 East NASA Parkway, Houston, TX, USA.
Alan FeivesonBiomedical Research and Environmental Sciences, National Aeronautics and Space Administration, Johnson Space Center, 2101 NASA Road 1, Houston, TX, USA.
Kirk L EnglishDepartment of Clinical Health and Applied Sciences, University of Houston-Clear Lake, Houston, TX, USA.
Lori L Ploutz-SnyderSchool of Kinesiology, University of Michigan, Ann Arbor, MI, USA.

Funding

National Aeronautics and Space Administration Human Research Program NNJ15HK11B
6 · The paper itself

Abstract

purposeTo identify strength and performance thresholds below which task performance is impaired.

methodsA 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.

resultsFitness 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.

conclusionAn 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.

Indexed as

Muscle StrengthPhysical Functional PerformanceAdultFemaleHumansMalePhysical EnduranceSpace SuitsWork PerformanceFitnessPowerStrengthTaskThresholdWork

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.