Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2017, Cilt: 12 Sayı: 3, 168 - 177, 07.07.2017

Öz


Kaynakça

  • 1. Macrae, C., (2009). Human Factors at Sea: Common Patterns of Error in Groundings and Collisions. Maritime Policy & Management, 36(1), 21-38.
  • 2. Chidambaram, P., (2016). Perspectives on Human Factors in a Shifting Operational Environment. Journal of Loss Prevention in the Process Industries, 44, 112-118.
  • 3. Koester, T., (2001). Human Factors and Everyday Routine in the Maritime Work Domain. In Human Factors in Transportation, Communication, Health, and the Workplace. Human Factors and Ergonomics Society Europe Chapter Annual Meeting.
  • 4. Wiegmann, D. and Shappell, S., (1999). Human Error and Crew Resource Management Failures in Naval Aviation Mishaps: A review of U.S. Naval Safety Center data, 1990-96. Aviation, Space, and Environmental Medicine, 70, pp:1147-51.
  • 5. Tac, U., Tavacioglu L., Bolat, P., Kora, K., and Bolat, F., (2014). Monitoring Seafarers Cognitive Performance during a Voyage by Automated Neurological Assessment Metrics, Constanta Maritime University Annals, Vol:2, pp:299-311.
  • 6. Burgoyne, A.P., Sala, G., Gobet, F., Macnamara, B.N., Campitelli, G., and Hambrick, D.Z., (2016). The Relationship Between Cognitive Ability and Chess Skill: A comprehensive Meta-analysis. Intelligence, 59, 72-83.
  • 7. Salthouse, T.A., (2009). When Does Age-Related Cognitive Decline Begin? Neurobiology of Aging, 30(4), 507-514.
  • 8. Plassman, B.L., Welsh, K.A., Helms, M., Brandt, J., Page, W.F., and Breitner, J.C.S., (1995). Intelligence and Education as Predictors of Cognitive State in Late Life: A 50-year Follow-Up. Neurology 45, 1446–1450.
  • 9. Deary, I.J., Corley, J., Harris, S.E., Houlihan, L.M., Marioni, R.E., Penke, L., Rafnsson, S.B., and Starr, J.M., (2009). Age-Associated Cognitive Decline, British Medical Bulletin, Vol:92, No:1, pp:135-152, 12.2009,.
  • 10. Park, D.C. and Reuter-Lorenz, P., (2009). The Adaptive Brain: Aging and Neurocognitive Scaffolding. Annu Rev Psychol, 60, 173–196.
  • 11. Van Horik, J.O., Langley, E.J., Whiteside, M.A., and Madden, J.R., (2017). Differential Participation in Cognitive Tests is Driven by Personality, Sex, Body Condition and Experience. Behavioural processes, 134, 22-30. 12. ANAM4R System Quick Start Guide, (2016). Automated Neuropsychological Assessment Metrics.
  • 13. Johnson, D.R., Vincent, A.S., Johnson, A.E., Gilliland, K., and Schlegel, R.E., (2008). Reliability and Construct Validity of the Automated Neuropsychological Assessment Metrics (ANAM) Mood Scale. Archives of Clinical Neuropsychology, 23(1), 73-85.

AGE AND EXPERIENCE BASED NEUROCOGNITIVE PERFORMANCE OF SEAFARERS

Yıl 2017, Cilt: 12 Sayı: 3, 168 - 177, 07.07.2017

Öz

The main purpose of this study to assess the age-related cognitive decline rates and
cognitive performances of the seafarers who belongs the different experience
levels and age groups. ANAM4R computerized cognitive test batteries
were applied to determine the cognitive competencies and performances of the
seafarers. Results were examined separately for each test using descriptive
tables, one-way ANOVA test and The Tukey post-hoc test. Significant differences
were found among groups in terms of cognitive abilities (p<.05). In all tests,
oceangoing masters have the lowest mean accuracy score and represent the
highest risk group for the possibility of human induced errors occurrence due
to cognitive impairment. A direct relationship between cognitive performance
decline and aging was detected in all cognitive tests.

Kaynakça

  • 1. Macrae, C., (2009). Human Factors at Sea: Common Patterns of Error in Groundings and Collisions. Maritime Policy & Management, 36(1), 21-38.
  • 2. Chidambaram, P., (2016). Perspectives on Human Factors in a Shifting Operational Environment. Journal of Loss Prevention in the Process Industries, 44, 112-118.
  • 3. Koester, T., (2001). Human Factors and Everyday Routine in the Maritime Work Domain. In Human Factors in Transportation, Communication, Health, and the Workplace. Human Factors and Ergonomics Society Europe Chapter Annual Meeting.
  • 4. Wiegmann, D. and Shappell, S., (1999). Human Error and Crew Resource Management Failures in Naval Aviation Mishaps: A review of U.S. Naval Safety Center data, 1990-96. Aviation, Space, and Environmental Medicine, 70, pp:1147-51.
  • 5. Tac, U., Tavacioglu L., Bolat, P., Kora, K., and Bolat, F., (2014). Monitoring Seafarers Cognitive Performance during a Voyage by Automated Neurological Assessment Metrics, Constanta Maritime University Annals, Vol:2, pp:299-311.
  • 6. Burgoyne, A.P., Sala, G., Gobet, F., Macnamara, B.N., Campitelli, G., and Hambrick, D.Z., (2016). The Relationship Between Cognitive Ability and Chess Skill: A comprehensive Meta-analysis. Intelligence, 59, 72-83.
  • 7. Salthouse, T.A., (2009). When Does Age-Related Cognitive Decline Begin? Neurobiology of Aging, 30(4), 507-514.
  • 8. Plassman, B.L., Welsh, K.A., Helms, M., Brandt, J., Page, W.F., and Breitner, J.C.S., (1995). Intelligence and Education as Predictors of Cognitive State in Late Life: A 50-year Follow-Up. Neurology 45, 1446–1450.
  • 9. Deary, I.J., Corley, J., Harris, S.E., Houlihan, L.M., Marioni, R.E., Penke, L., Rafnsson, S.B., and Starr, J.M., (2009). Age-Associated Cognitive Decline, British Medical Bulletin, Vol:92, No:1, pp:135-152, 12.2009,.
  • 10. Park, D.C. and Reuter-Lorenz, P., (2009). The Adaptive Brain: Aging and Neurocognitive Scaffolding. Annu Rev Psychol, 60, 173–196.
  • 11. Van Horik, J.O., Langley, E.J., Whiteside, M.A., and Madden, J.R., (2017). Differential Participation in Cognitive Tests is Driven by Personality, Sex, Body Condition and Experience. Behavioural processes, 134, 22-30. 12. ANAM4R System Quick Start Guide, (2016). Automated Neuropsychological Assessment Metrics.
  • 13. Johnson, D.R., Vincent, A.S., Johnson, A.E., Gilliland, K., and Schlegel, R.E., (2008). Reliability and Construct Validity of the Automated Neuropsychological Assessment Metrics (ANAM) Mood Scale. Archives of Clinical Neuropsychology, 23(1), 73-85.
Toplam 12 adet kaynakça vardır.

Ayrıntılar

Konular Mühendislik
Bölüm Makaleler
Yazarlar

Umut Taç

Leyla Tavacıoğlu

Pelin Bolat Bu kişi benim

Yayımlanma Tarihi 7 Temmuz 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 12 Sayı: 3

Kaynak Göster

APA Taç, U., Tavacıoğlu, L., & Bolat, P. (2017). AGE AND EXPERIENCE BASED NEUROCOGNITIVE PERFORMANCE OF SEAFARERS. Engineering Sciences, 12(3), 168-177.
AMA Taç U, Tavacıoğlu L, Bolat P. AGE AND EXPERIENCE BASED NEUROCOGNITIVE PERFORMANCE OF SEAFARERS. Engineering Sciences. Temmuz 2017;12(3):168-177.
Chicago Taç, Umut, Leyla Tavacıoğlu, ve Pelin Bolat. “AGE AND EXPERIENCE BASED NEUROCOGNITIVE PERFORMANCE OF SEAFARERS”. Engineering Sciences 12, sy. 3 (Temmuz 2017): 168-77.
EndNote Taç U, Tavacıoğlu L, Bolat P (01 Temmuz 2017) AGE AND EXPERIENCE BASED NEUROCOGNITIVE PERFORMANCE OF SEAFARERS. Engineering Sciences 12 3 168–177.
IEEE U. Taç, L. Tavacıoğlu, ve P. Bolat, “AGE AND EXPERIENCE BASED NEUROCOGNITIVE PERFORMANCE OF SEAFARERS”, Engineering Sciences, c. 12, sy. 3, ss. 168–177, 2017.
ISNAD Taç, Umut vd. “AGE AND EXPERIENCE BASED NEUROCOGNITIVE PERFORMANCE OF SEAFARERS”. Engineering Sciences 12/3 (Temmuz 2017), 168-177.
JAMA Taç U, Tavacıoğlu L, Bolat P. AGE AND EXPERIENCE BASED NEUROCOGNITIVE PERFORMANCE OF SEAFARERS. Engineering Sciences. 2017;12:168–177.
MLA Taç, Umut vd. “AGE AND EXPERIENCE BASED NEUROCOGNITIVE PERFORMANCE OF SEAFARERS”. Engineering Sciences, c. 12, sy. 3, 2017, ss. 168-77.
Vancouver Taç U, Tavacıoğlu L, Bolat P. AGE AND EXPERIENCE BASED NEUROCOGNITIVE PERFORMANCE OF SEAFARERS. Engineering Sciences. 2017;12(3):168-77.