The Number of Sectors and Other Risk Factors Related to Fatigue Among Shorthaul Commercial Pilots in Indonesia

Background: Fatigue could impair cognitive function in pilots which may lead to accidents in short-haul flight. Theaim of this study was to identify the risk factors related to fatigue among short-haul commercial pilots in Indonesia.Methods: A cross-sectional study with purposive sampling was conducted among Boeing 737 seriestyped-rating pilots taking medical examination at the Civil Aviation Medical Center, Jakarta from May5-26, 2014. Fatigue was measured with Self-Reporting Questionnaire, Fatigue Severity Scale (FSS). Datawere collected using anonymous self-reporting questionnaire on demographics, workload, sleep restriction(Epworth Sleepiness Scale-ESS), personal factors, and managerial support. Linear regression was used toidentify dominant risk factors related to fatigue.Results: During data collection, 785 pilots were taking medical examination, 382 pilots were willing toparticipate, and 239 pilots met the criteria. The FSS mean was 4.66 ± 1.202. The number of sectors in 24hours, flight times of unplanned flights in 30 days, and sleep restriction were dominant factors of fatigue.Each additional sector increased FSS by 0.371 points [regression coefficient (β) = 0.371; P = 0.000].Furthermore, each additional ESS, increased FSS by 0.043 points (β = 0.043; P = 0.008), while eachadditional unplanned flights increased FSS by 0.033 points (β = 0.033; P = 0.000).Conclusions: Additional number of sectors in 24 hours, additional unplanned flight times within 30 days,and sleep restriction increased the risk of fatigue among short-haul commercial pilots in Indonesia. (HealthScience Journal of Indonesia 2015;6:69-75

The Effect of Workload and Other Risk Factors of Metabolic Syndrome Among Short-haul Commercial Pilots in Indonesia

Background: Metabolic syndrome (MS) could cause sudden incapacitation among pilots in Indonesia.The aim of this study was to identify risk factors of MS among short-haul commercial pilots in Indonesia.Methods: A cross-sectional study with purposive sampling was conducted among commercial pilotstaking medical examination at the Civil Aviation Medical Center, Jakarta from July 27-August 30th,2014. Metabolic syndrome was assessed according to the National Cholesterol Education Program AdultTreatment panel III criteria and criteria. Risk factors were collected using anonymous self-reportingquestionnaire. The laboratory data were extracted from medical records. Cox regression was used toidentify dominant risk factors of MS.Results: During data collection, 2135 pilots taking medical examination, Total male Asian pilots metthe inclusion criteria was 864 pilots. Prevalence of MS was 18.28%. Compared to 20-35 year-old group,subjects aged 56-65 years-old had 88% higher risk for MS [adjusted relative risk (RRa) = 1.88; P = 0.019].In term of number of sectors in the last 24 hours, compared to 0-3 sectors, subjects who had 6-7 sectors inthe last 24 hours had 66% higher risk for MS (RRa = 1.66; P = 0.033), while subjects who had 8 or moresectors in 24 hours had 82% more risk for MS (RRa = 1.82; P = 0.072).Conclusions: The pilot aged 56-65 years-old, who had 6 or more sectors in the last 24 hours, had higherrisk for metabolic syndrome among short-haul commercial pilots in Indonesia. (Health Science Journalof Indonesia 2015;6:81-6