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Effects of Post-COVID-19 Syndrome on Quality of Life Among Airline Crew.
- Source :
- Workplace Health & Safety; Sep2024, Vol. 72 Issue 9, p374-383, 10p
- Publication Year :
- 2024
-
Abstract
- Background: Interest in post-coronavirus disease 2019 (COVID-19) syndrome following COVID-19 infection has been increasing. Maintaining quality of life (QoL) is vital for airline crews because they work in a special environment, where they are responsible for the passengers' safety. This study aims to closely investigate factors affecting the QoL of airline crews, including post-COVID-19 syndrome. Methods : This study was designed as a cross-sectional survey, comprising 167 crews. Findings : Age-specific significant differences were observed in social, overall, and total QoL scores. The physical domain QoL was significantly higher in the cockpit crews than that in the cabin crews. Significant differences were found in psychological and overall QoL depending on years of continuous service. Social domain and environmental QoL were lower in those who had no symptoms after being diagnosed with COVID-19 than in those who were symptomatic. Among the participants, 4.2% had post-COVID-19 syndrome, indicating significant differences in the physical domain, depending on whether they exhibit post-COVID-19 syndrome. Conclusion : It is urgent to develop measures to increase the QoL of airline crews, investigate post-COVID-19 syndrome before returning to work, and develop strategies to manage it. Application to practice : The QoL among airline crews differed not only by the demographic characteristics of the participants but also by the presence of symptoms during COVID-19 diagnosis and post-COVID-19 syndrome. Higher QoL among airline crews is associated with the safety of both airline crews and passengers. Therefore, it is necessary to establish a systematic management protocol for airline crews returning to work after following COVID-19 infection. [ABSTRACT FROM AUTHOR]
- Subjects :
- AIRPLANES
CROSS-sectional method
T-test (Statistics)
DATA analysis
DISEASE duration
POST-acute COVID-19 syndrome
STATISTICAL sampling
FATIGUE (Physiology)
QUESTIONNAIRES
AGE distribution
QUALITY of life
ONE-way analysis of variance
STATISTICS
PAIN
DATA analysis software
COUGH
ALCOHOL drinking
DISEASE complications
SYMPTOMS
Subjects
Details
- Language :
- English
- ISSN :
- 21650799
- Volume :
- 72
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- Workplace Health & Safety
- Publication Type :
- Academic Journal
- Accession number :
- 179282144
- Full Text :
- https://doi.org/10.1177/21650799241253870