Conceptualization of Aviation Cabin Crew’s Fatigue Risk Assessment

Airlines are of great importance to the transportation sector. With the increase in commercial air travel, airlines require extra flight crews. Aviation industry’s cabin crewmembers are faced with working overtime, working in shifts and long working hours. The shift system causes fatigue for flight crews. Fatigue is of critical importance in the aviation industry. Depending on the physical and psychological fatigue, explicit or implicit results appear. There are a number of approaches in the aviation industry to prevent fatigue. When previous studies are examined, there are few studies examine in the general, and aviation crew’s fatigue treat both pilots and cabin crew alike. The relationship between cabin crew’s fatigue-to-fatigue risk management systems, key fatigue-causing factors, tools to alarm fatigue, and outcome assessments are non-existent. However, various difficulties are encountered in measuring the cabin crews fatigue levels and measurements and are often subjective and not reliable. Therefore, the aim of this study is to create a concept map to be integrated into the aviation cabin crew’s fatigue risk assessment application design and implementation in order to arrive at a comprehensive fatigue risk assessment tool for the aviation industry.

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Risk Assessment In The Military: A Work/Rest Schedule-Based Tool For The Usn Surface Fleet

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181321651077 ◽

2021 ◽

Vol 65 (1) ◽

pp. 1588-1592

Author(s):

Ana Veronica Y. Badua ◽

Nita Lewis Shattuck ◽

Panagiotis Matsangas

Keyword(s):

Risk Assessment ◽

Human Performance ◽

Assessment Tool ◽

Working Hours ◽

Data Driven ◽

Long Working Hours ◽

Performance Risk ◽

Safety Risks ◽

The Military ◽

Scheduling Management

Long working hours, 24/7 shift work, restricted sleep opportunities, and circadian misalignment all lead to degraded human performance and impairments in decision making. After several mishaps involving U.S. Navy warships in 2017, renewed attention was devoted to optimizing warfighter performance and reducing safety risks associated with crew endurance and fatigue issues. This paper summarizes the development and initial evaluation of the Scheduling Management Aid for Risk Tracking (SMART) prototype. SMART is a human performance risk assessment tool designed to help the U.S. Navy systematically assess and mitigate risk due to crew fatigue during in port and at-sea operations. The heuristics underlying the prototype are selected to identify and quantify human performance risk based on a Sailor’s work and rest patterns. The results are designed to enable data-driven crew resource management decisions, take targeted fatigue mitigation actions, and rapidly calculate human performance risks.

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The Relationship between Long Working Hours and Industrial Accident

Korean Journal of Occupational Health Nursing ◽

10.5807/kjohn.2014.23.1.39 ◽

2014 ◽

Vol 23 (1) ◽

pp. 39-46 ◽

Cited By ~ 1

Author(s):

Ju-Young Lee ◽

Eunhi Choi ◽

Sung-Ho Lim ◽

Hyoung-Ah Kim ◽

Hye-Sun Jung

Keyword(s):

Working Hours ◽

Industrial Accident ◽

Long Working Hours ◽

The Relationship

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What is the relationship between long working hours, over-employment, under-employment and the subjective well-being of workers? Longitudinal evidence from the UK

Human Relations ◽

10.1177/0018726714559752 ◽

2015 ◽

Vol 68 (9) ◽

pp. 1491-1515 ◽

Cited By ~ 60

Author(s):

David Angrave ◽

Andy Charlwood

Keyword(s):

Working Hours ◽

Well Being ◽

Subjective Well Being ◽

Long Working Hours ◽

The Uk ◽

The Relationship

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PENGARUH LAMA JAM KERJA PADA IBU BEKERJA TERHADAP PEMBERIAN ASI EKSKLUSIF

Jurnal BIMTAS: Jurnal Kebidanan Umtas ◽

10.35568/bimtas.v5i1.1653 ◽

2022 ◽

Vol 5 (1) ◽

pp. 7-10

Author(s):

Sri Wulan Ratna Dewi ◽

Vira Ainun Nisa ◽

Neli Sunarni ◽

Rosidah Solihah

Keyword(s):

Exclusive Breastfeeding ◽

Employment Status ◽

Working Mothers ◽

Quantitative Methods ◽

Working Hours ◽

Job Status ◽

Cross Sectional ◽

Long Working Hours ◽

Independent Variable ◽

The Relationship

Exclusive breastfeeding (according to WHO) is breastfeeding only for infants up to 6 months of age without additional fluids or other foods. Exclusive breastfeeding is giving only breast milk without other food and drinks. Exclusive breastfeeding is recommended for the first 6 months of life (WHO, 2005). Background: Breastfeeding in Indonesia has not been fully implemented and there is still very low level of exclusive breastfeeding, especially for working mothers. From the results of observations made by researchers, data was obtained that 8 out of 10 working mothers who breastfeed (babies aged 6-12 months) do not exclusively breastfeed their babies, and 9 out of 10 non-working mothers who breastfeed (babies aged 6-12 months) giving exclusive breastfeeding to the baby. Purpose: To determine the relationship between employment status and exclusive breastfeeding. Methods: This type of research is analytic with a cross sectional approach, with job status as the independent variable and exclusive breastfeeding as the dependent variable, using 21 samples. Result: This research was conducted using quantitative methods, namely by distributing a form in the form of a g-form so that it can be concluded that there is a relationship between long working hours for working mothers and exclusive breastfeeding. Conclusion: there is a relationship between work status and exclusive breastfeeding.

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The Impact of Long Working Hours on Cognitive Function: A Follow-Up Study with Gender Stratification

Journal of Alzheimer s Disease ◽

10.3233/jad-201404 ◽

2021 ◽

Vol 80 (2) ◽

pp. 727-734

Author(s):

Seunghyun Lee ◽

Joon Yul Choi ◽

Wanhyung Lee

Keyword(s):

Cognitive Function ◽

Cognitive Decline ◽

Working Hours ◽

Gender Stratification ◽

Long Working Hours ◽

Cox Proportional Hazard ◽

Hazard Ratios ◽

Cox Proportional Hazard Regression ◽

The Impact ◽

The Relationship

Background: Recent studies have shown that long working hours can have adverse consequences on health and possibly trigger biological processes that mediate the relationship between long working hours and cognitive decline. Objective: To investigate whether long working hours and the overall duration such exposure is associated with a decline in cognitive function. Methods: Data obtained during the Korean Longitudinal Study on Aging (n = 2,518) during the period 2006–2018 were used to explore the relationship between long working hours and cognitive decline. Korean version of the Mini-Mental State Examination (K-MMSE) scores were used to evaluate cognitive function. Cox proportional hazard regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs), which were used to evaluate declines in K-MMSE scores over the 12-year study period. Results: Overall HR (95% CI) for a decline in cognitive function in long working hours group was 1.13 (0.73–1.17). When categorized by sex, women with long working hours had an HR (95% CI) of 1.50 (1.05–2.22), K-MMSE scores decreased significantly after working long hours for 5 years (p < 0.01). Conclusion: The study furthers understanding of the effects of long working hours on cognitive decline among female workers. Further research is required to determine the effects of long working hours on cognitive functions.

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The relationship between long working hours and weight gain in older workers in Europe

Work ◽

10.3233/wor-203324 ◽

2020 ◽

Vol 67 (3) ◽

pp. 753-759

Author(s):

Umit Guner ◽

Neslihan Guner

Keyword(s):

The Netherlands ◽

Working Conditions ◽

Older Workers ◽

Cox Regression ◽

Working Hours ◽

The European Union ◽

Middle Aged ◽

The Czech Republic ◽

Long Working Hours ◽

The Relationship

BACKGROUND: Several studies have been performed on the relationship between working conditions and health. Numerous parameters still require further study, including working hours and obesity among different groups, specifically older workers in national, regional, and international levels. OBJECTIVE: Working hours have considerable effects on the socio-cultural, psychological, and economic aspects of people’s lives and health. While long working hours increases income level and raises living standards, it increases the risk of certain health problems. This study investigated whether working hours are associated with obesity in upper-middle-aged workers. METHODS: The Survey of Health, Ageing and Retirement in Europe (SHARE) dataset was used for the analyses. Analyses were carried out by means of a Cox regression of the panel dataset created with the data in question, surveyed by European Commission to 12,000 participants. RESULTS: The survey was performed in Austria, Belgium, Switzerland, Germany, Denmark, Spain, France, Greece, Italy, the Netherlands, Sweden, the Czech Republic, Poland, and Ireland. We found that in most countries, especially Sweden and the Netherlands, upper-middle-aged employees working > 59 hours per week are more likely to gain weight than their counterparts working < 59 hours. CONCLUSIONS: Our findings raise awareness of obesity in older workers, and highlight the need to regulate working conditions and hours in the European Union and other countries.

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Diminishing Returns at Work

10.1093/oso/9780190876166.001.0001 ◽

2018 ◽

Cited By ~ 6

Author(s):

John H. Pencavel

Keyword(s):

Quality Of Life ◽

Working Hours ◽

Good Health ◽

Long Working Hours ◽

The Past ◽

Diminishing Returns ◽

The Relationship

This book concerns working hours - in the past and in the present, in America and in Britain. The focus is on the relationship between working hours and outcome , such as production and health. Proportional increases in working hours are shown to result in smaller proportional increases in production, and the benefits in output of long working hours may not offset the consequences of long hours for the health and quality of life of workers. A distinction is made between nominal hours (those that individuals are observed to be working) and effective hours (those that are effective in producing goods and that are compatible with good health). The meaning of the link between hours and average hourly earnings receives particular attention. Firms are encouraged to experiment with different hours..

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