Literature DB >> 10404925

Relationship of age and simulated flight performance.

J A Yesavage1, J L Taylor, M S Mumenthaler, A Noda, R O'Hara.   

Abstract

OBJECTIVE: To determine the relationship between age and aviator performance on a flight simulator.
DESIGN: A cross-sectional observational study. PARTICIPANTS: The sample consisted of 100 aviators aged 50 to 69 (mean = 58). MAIN OUTCOME MEASURES: Pilots were tested on a Frasca 141 flight simulator (Urbana, IL), linked to a UNIX-based IRIS 4D computer (Silicon Graphics, Mountain View, CA), which both generated graphics of the environment in which the pilots flew and collected data concerning the aircraft's flight conditions.
RESULTS: We found that increased age was significantly associated with decreased aviator performance on a flight simulator.
CONCLUSIONS: Although there was a significant relationship between increased age and decreased aviator performance, age explained 22% or less of the variance of performance on different flight tasks; hence, other factors are also important in explaining the performance of older pilots.

Entities:  

Mesh:

Year:  1999        PMID: 10404925     DOI: 10.1111/j.1532-5415.1999.tb03838.x

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  8 in total

1.  The roles of COMT val158met status and aviation expertise in flight simulator performance and cognitive ability.

Authors:  Q Kennedy; J L Taylor; A Noda; M Adamson; G M Murphy; J M Zeitzer; J A Yesavage
Journal:  Behav Genet       Date:  2010-12-31       Impact factor: 2.805

2.  Pilot age and expertise predict flight simulator performance: a 3-year longitudinal study.

Authors:  Joy L Taylor; Quinn Kennedy; Art Noda; Jerome A Yesavage
Journal:  Neurology       Date:  2007-02-27       Impact factor: 9.910

3.  Intraindividual variability in basic reaction time predicts middle-aged and older pilots' flight simulator performance.

Authors:  Quinn Kennedy; Joy Taylor; Daniel Heraldez; Art Noda; Laura C Lazzeroni; Jerome Yesavage
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2012-10-09       Impact factor: 4.077

4.  Influences of APOE ε4 and expertise on performance of older pilots.

Authors:  Joy L Taylor; Quinn Kennedy; Maheen M Adamson; Laura C Lazzeroni; Art Noda; Greer M Murphy; Jerome A Yesavage
Journal:  Psychol Aging       Date:  2011-06

5.  Initial cognitive performance predicts longitudinal aviator performance.

Authors:  Jerome A Yesavage; Booil Jo; Maheen M Adamson; Quinn Kennedy; Art Noda; Beatriz Hernandez; Jamie M Zeitzer; Leah F Friedman; Kaci Fairchild; Blake K Scanlon; Greer M Murphy; Joy L Taylor
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2011-05-17       Impact factor: 4.077

6.  The impact of brain size on pilot performance varies with aviation training and years of education.

Authors:  Maheen M Adamson; Viktoriya Samarina; Xu Xiangyan; Virginia Huynh; Quinn Kennedy; Michael Weiner; Jerome Yesavage; Joy L Taylor
Journal:  J Int Neuropsychol Soc       Date:  2010-03-02       Impact factor: 2.892

7.  The STEP model: Characterizing simultaneous time effects on practice for flight simulator performance among middle-aged and older pilots.

Authors:  Quinn Kennedy; Joy Taylor; Art Noda; Jerome Yesavage; Laura C Lazzeroni
Journal:  Psychol Aging       Date:  2015-08-17

8.  BDNF polymorphism predicts the rate of decline in skilled task performance and hippocampal volume in healthy individuals.

Authors:  M Millan Sanchez; D Das; J L Taylor; A Noda; J A Yesavage; A Salehi
Journal:  Transl Psychiatry       Date:  2011-10-25       Impact factor: 6.222

  8 in total

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