Occupational diseases in the aviation sector employees - Antalya Airport sample
2019
0 views
0 downloads
Advisor: Dr. Öğr. Üyesi Hasan Şenocak
Abstract (EN)
The aviation industry, which has been developing rapidly in recent years, has a high level of stress due to the intense efforts made for customer satisfaction. High stress causes occupational diseases in this sector. The main purpose of this study is to explain occupational diseases seen in individuals working in ground handling unit in aviation sector. The questionnaire application method was used in the study and the data obtained by the responses of 136 employees working at Antalya Airport were analyzed with SPSS 23.0 program. In the study, the researches were performed in terms of orthopedic disorder, visual impairment, auditory disorder, respiratory disorders, skin problems, mental disorders and other disorders in ground service personnel and results were found in the absence of any of these diseases. Achieving these results through the responses of 136 individuals working at Antalya airport constitutes the limitations of the study.
Author
Dr. Ahmet Kemalettin Kuzucu
Institution
İstanbul University
Çalışma Ekonomisi Bilim Dalı
How to Cite
Ahmet Kemalettin Kuzucu (Master Thesis). Occupational diseases in the aviation sector employees - Antalya Airport sample, 2019, İstanbul University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from İstanbul University
- In the covid 19 pandemic of female employees at a university hospital attitudes and affecting factors in nutrition of 9 months-6 years old children(2022)
- The perception of the right-wing movements in Turkey as to the 27 May Coup: 1960-1980(2020)
- Economic and social life in the Ottoman Empire according to the 1890 year's news of La Turquie Newspaper(2022)
- Land regime in the Umayyads period(2022)
- Merkel hücreli karsinomda tanısal ve prognostik belirteçler(2022)
- Examining work alienation on the basis of relationship regulation theory with mixed methods in academician sample(2022)