Challenges and support needs in psychological and physical health among pilots: a qualitative study.

Introduction: Physical and mental health problems among pilots affect their working state and impact flight safety. Although pilots' physical and mental health problems have become increasingly prominent, their health has not been taken seriously. This study aimed to clarify challenges and support needs related to psychological and physical health among pilots to inform development of a more scientific and comprehensive physical and mental health system for civil aviation pilots. Methods: This qualitative study recruited pilots from nine civil aviation companies. Focus group interviews via an online conference platform were conducted in August 2022. Colaizzi analysis was used to derive themes from the data and explore pilots' experiences, challenges, and support needs. Results: The main sub-themes capturing pilots' psychological and physical health challenges were: (1) imbalance between family life and work; (2) pressure from assessment and physical examination eligibility requirements; (3) pressure from worries about being infected with COVID-19; (4) nutrition deficiency during working hours; (5) changes in eating habits because of the COVID-19 pandemic; (6) sleep deprivation; (7) occupational diseases; (8) lack of support from the company in coping with stress; (9) pilots' yearly examination standards; (10) support with sports equipment; (11) respecting planned rest time; and (12) isolation periods. Discussion: The interviewed pilots experienced major psychological pressure from various sources, and their physical health condition was concerning. We offer several suggestions that could be addressed to improve pilots' physical and mental health. However, more research is needed to compare standard health measures for pilots around the world in order to improve their physical and mental health and contribute to overall aviation safety.

The Impact of Various Cockpit Display Interfaces on Novice Pilots' Mental Workload and Situational Awareness: A Comparative Study.

Future airspace is expected to become more congested with additional in-service cargo and commercial flights. Pilots will face additional burdens in such an environment, given the increasing number of factors that they must simultaneously consider while completing their work activities. Therefore, care and attention must be paid to the mental workload (MWL) experienced by operating pilots. If left unaddressed, a state of mental overload could affect the pilot's ability to complete his or her work activities in a safe and correct manner. This study examines the impact of two different cockpit display interfaces (CDIs), the Steam Gauge panel and the G1000 Glass panel, on novice pilots' MWL and situational awareness (SA) in a flight simulator-based setting. A combination of objective (EEG and HRV) and subjective (NASA-TLX) assessments is used to assess novice pilots' cognitive states during this study. Our results indicate that the gauge design of the CDI affects novice pilots' SA and MWL, with the G1000 Glass panel being more effective in reducing the MWL and improving SA compared with the Steam Gauge panel. The results of this study have implications for the design of future flight deck interfaces and the training of future pilots.

Relationships among barodontalgia prevalence, altitude, stress, dental care frequency, and barodontalgia awareness: a survey of Turkish pilots.

Background: Gas expansion in body cavities due to pressure changes at high altitudes can cause barodontalgia. This condition may compromise flight safety. Aim: To investigate relationships among barodontalgia awareness, dental visit frequency, and barodontalgia prevalence in civilian and military pilots operating at high altitudes. Materials and Methods: Civilian pilots from Turkish Airlines and military pilots from the Turkish Air Force, flying between November 2022 and January 2023, participated in this study. A 20-question survey was administered to 750 pilots, covering topics such as barodontalgia awareness, dental visit frequency, breaks after dental treatments, in-flight pain, and pain type and severity. The voluntary surveys were distributed by email. Results: Of the 750 pilots, 526 completed the survey; 61% were aware of barodontalgia, and 81% of pilots who had experienced it reported pain at altitudes <2000 feet. The study revealed higher barodontalgia awareness among pilots who had experienced it, with the highest prevalence among jet pilots. Pilots with barodontalgia also showed a higher frequency of dental visits (p < 0.001). Additionally, this group reported more frequent interruption of flight due to dental treatment (IFDT), more problems experienced in flights after treatment (PFAT), and higher instances of bruxism or teeth clenching during flight, suggesting stress and anxiety (p < 0.05). Conclusions: Barodontalgia, a type of pain linked to stress, significantly impacts pilot performance, and can threaten flight safety, even at lower altitudes. Thus, there is a need to educate pilots about stress management, barodontalgia awareness, and the importance of regular dental check-ups.

The role of visual conditions and aircraft type on different aspects of pilot workload.

OBJECTIVE: The objective of our work was to assess the impact of flight conditions by aircraft type on the workload estimated using NASA-Task Load Index (NASA-TLX). BACKGROUND: Learning about subjective workload is important for assessing the impact of a pilot's work environment on their performance in the cockpit. This is an important element of flight safety and includes the prevention of aviation accidents. METHODS: The study included 146 military pilots that fly the following aircrafts: flying fast-jet (21), fixed-wing (24), and rotary-wing (101). The NASA-TLX questionnaire was used to assess workload and pilots were asked to determine the level of workload resulting from flying under the following conditions: daytime flight (VFR), night-vision flight performed under Night Visual Flight Rules (NVFR), and night-vision flight using night-vision goggles (NVGs). RESULTS: The highest level of workload was consistently attributed to flights performed under NVG conditions. NVFR conditions were rated as the most burdensome, while VFR conditions were rated as the least burdensome. Fast-jet pilots rated their mental performance and effort workload as significantly higher than pilots of other aircrafts. CONCLUSION: Pilots' perceived workload is influenced by both flight conditions and the type of aircraft they fly. Workload knowledge is important for flight safety and should be taken into account during training and flight-task planning. APPLICATION: The results of our study can be useful both in flight training and in work on the effectiveness of the human-machine interface. Awareness of one's own limitations due to the work environment can help improve flight safety.

Consensus on the pharmacological treatment of acute stress disorder in Chinese pilots: a Delphi study.

BACKGROUND: Appropriate medication is very important for pilots with acute stress disorder. Improper medication can not only affect the physical and mental health of the pilots but can also endanger flight safety. Hence, we aimed to quickly and effectively relieve symptoms and restore cognitive function by forming a consensus of Chinese experts on the pharmacological treatment of acute stress disorder in pilots using the Delphi method. METHODS: Relevant literature was searched to enumerate the current status of pharmacological treatment of acute stress disorder in pilots, followed by two rounds of expert consultation and discussion according to the listed status of the survey using the Delphi method. A descriptive statistical method was used to analyze the basic information, authority coefficients, concentration of opinions, and survey items of the experts to develop a consensus on the pharmacological treatment of acute stress disorder in pilots. RESULTS: A total of 16 experts in psychiatry, pharmacology, and aerospace medicine from different provinces and cities across China were invited for consultation. The recovery rate of the two rounds of consultation was 100%, and the expert authority coefficients were 0.897 and 0.906, respectively. Kendall's coefficient of concordance of indicators at all levels was 0.564-0.594 (p < 0.01). Based on the number of votes received, alprazolam tablets (16), eszopiclone tablets (15), and lorazepam tablets (14) were recommended for the treatment of excitatory psychomotor symptoms of acute stress disorder; paroxetine tablets (15) and sertraline tablets (15) were available for psychomotor depressive symptoms; olanzapine tablets (15), olanzapine orally disintegrating tablets (14), and quetiapine fumarate tablets (14) were selected for psychotic symptoms. CONCLUSIONS: This study formed a consensus on rapid and effective pharmacological treatment for different symptoms of acute stress disorder pilots, which provides a reference for clinical treatment.

Using machine learning methods and EEG to discriminate aircraft pilot cognitive workload during flight.

Pilots of aircraft face varying degrees of cognitive workload even during normal flight operations. Periods of low cognitive workload may be followed by periods of high cognitive workload and vice versa. During such changing demands, there exists potential for increased error on behalf of the pilots due to periods of boredom or excessive cognitive task demand. To further understand cognitive workload in aviation, the present study involved collection of electroencephalogram (EEG) data from ten (10) collegiate aviation students in a live-flight environment in a single-engine aircraft. Each pilot possessed a Federal Aviation Administration (FAA) commercial pilot certificate and either FAA class I or class II medical certificate. Each pilot flew a standardized flight profile representing an average instrument flight training sequence. For data analysis, we used four main sub-bands of the recorded EEG signals: delta, theta, alpha, and beta. Power spectral density (PSD) and log energy entropy of each sub-band across 20 electrodes were computed and subjected to two feature selection algorithms (recursive feature elimination (RFE) and lasso cross-validation (LassoCV), and a stacking ensemble machine learning algorithm composed of support vector machine, random forest, and logistic regression. Also, hyperparameter optimization and tenfold cross-validation were used to improve the model performance, reliability, and generalization. The feature selection step resulted in 15 features that can be considered an indicator of pilots' cognitive workload states. Then these features were applied to the stacking ensemble algorithm, and the highest results were achieved using the selected features by the RFE algorithm with an accuracy of 91.67% (± 0.11), a precision of 93.89% (± 0.09), recall of 91.67% (± 0.11), F-score of 91.22% (± 0.12), and the mean ROC-AUC of 0.93 (± 0.06). The achieved results indicated that the combination of PSD and log energy entropy, along with well-designed machine learning algorithms, suggest the potential for the use of EEG to discriminate periods of the low, medium, and high workload to augment aircraft system design, including flight automation features to improve aviation safety.

Quick coherence technique facilitating commercial pilots' psychophysiological resilience to the impact of COVID-19.

This study investigates the effect of quick coherence technique (QCT) on commercial pilots' resilience to the unprecedented impact of a pandemic. Eighteen commercial pilots voluntarily participated in a 2-day training course on QCT followed by 2 months of self-regulated QCT practicing during controlled rest in the flight deck and day-to day life. There are subjective and objective assessments to evaluate the effects of QCT on commercial pilots' psychophysiological resilience. Results demonstrated that QCT training can significantly increase pilots' psychophysiological resilience thereby improving their mental/physical health, cognitive functions, emotional stability and wellness on both subjective (PSS & AWSA) and objective measures (coherence scores). Moreover, pilots who continued practicing self-regulated QCT gained the maximum benefits. Current research has identified great potential to enhance pilots' mental/physical health via QCT training. Operators can develop peer support programs for pilots to increase resilience and maintain mental and physical health using the QCT technique. Practitioner summary: QCT breathing has been proven to increase commercial pilots' resilience by moderating psychophysiological coherence, strengthening mental/physical capacity and sustaining positive emotions to deal with the challenges both on the flight deck and in everyday life.HIGHLIGHTSPilots have suffered from the impact of the Covid-19 pandemic across many factors including social, economic, mental, physical, emotional, and operational issuesBiofeedback training can increase commercial pilots' resilience by moderating psychophysiological coherence, strengthening mental and physical capacitySelf-regulated practicing QCT to form a habitual behaviour is required to sustain the maximum benefits either in the flight or day-to-day lifeQCT is an effective intervention for aviation authorities and airline operators to develop peer support programs to increase pilots' fatigue resilience.

Linkage of calling and burnout among Chinese airline pilots: the role of psychological capital and organizational identification.

Objectives. Burnout of airline pilots has an extremely adverse impact on their physical and mental state, their work efficiency and safe operation of airlines, and is thus an important issue in occupational safety and health. Therefore, it is crucial to identify factors that may reduce burnout among airline pilots. Drawing on conservation of resources theory, the present study investigates the relationships between calling, psychological capital, organizational identification and burnout in order to understand the mechanisms underlying pilot burnout. Method. A cross-sectional survey was conducted to measure calling, psychological capital, organizational identification and burnout among a sample consisting of 242 Chinese commercial airline pilots (age: M 31.60 years, SD 6.44). Correlation analysis, mediation analysis and moderated analysis were conducted. Results. The results showed that calling has a direct and negative effect on pilot burnout, and an indirect effect on burnout through influencing psychological capital. Moreover, organizational identification was found to positively moderate the negative relationship between calling and pilot burnout. Conclusion. This study contributes to deepening theoretical research on burnout, and provides empirical evidence for effective intervention in the burnout of airline pilots, which is beneficial to reduce pilot human error and ensure flight safety. Future research directions are also discussed.

[Analysis of the stressors and mental status of civil aviation pilots under the background of the major infectious disease].

Objective: To study the stressors and mental status of civil aviation pilots under the background of major infectious disease. Methods: From January to March 2021, a cluster sampling method was used to select 143 airline pilots in service as the research objects. The self-made emotion and stress source questionnaire, Chinese version of stress perception scale (CPSS) , self rating Anxiety Scale (SAS) and self rating Depression Scale (SDS) were used to investigate the airline pilot population. 136 valid questionnaires were collected, with an effective recovery rate of 95.1%. The measurement data conform to the normal distribution and are expressed by (x±s) . T-test and analysis of variance are used for comparison between groups, and Pearson correlation is used for correlation analysis. The data that do not conform to the normal distribution are expressed by the median and quartile [M (Q(1), Q(3)) ], and the non parametric test is used for the comparison between groups. Multiple linear stepwise regression was used to analyze the influencing factors of pressure perception. In addition, Amos 23.0 software was used to construct structural equation models of stress perception and negative emotions. Results: Under the background of the epidemic, the main sources of stress for civil aviation pilots are: the risk of possible reduction in income, the risk of contracting COVID-19, the pressure at work, and the risk of possible slow progress of upgrading. Among them, the first co pilot was more worried about the possible reduction of income than the instructor (P=0.009) ; The first co pilot and the captain of the airline were more worried about the possible slowdown of the upgrade progress than the instructor (P<0.001, P=0.014) . The mean pressure perception of pilots was higher than that of Chinese norm (t=3.11, P=0.002) . The standard scores of anxiety and depression were slightly higher than the standard scores of the Chinese norm under the non epidemic situation (t=7.00, 4.07, all P<0.001) . The results of multiple linear stepwise regression analysis showed that stress perception was negatively correlated with good family relations (t=-8.50, P=0.000) , and positively correlated with worries about slow progress of upgrading, COVID-19 infection, lack of interpersonal communication and income reduction (t=3.31、3.86、2.88、2.06, P<0.05) . Pressure perception was positively correlated with negative emotion (all P<0.001) . The results of structural equation model show that stress perception affects pilots' negative emotions directly or indirectly, and its standardized total effects on anxiety, depression, hypochondriac, fear, compulsion and irritability are 0.719, 0.811, 0.403, 0.355, 0.295 and 0.244 respectively. Conclusion: Public health emergencies have an impact on the mental status of pilots. Should pay attention to the stressors and psychological conditions of pilots in time, and consider formulating measures to relieve the stress of pilots.

Cognitive Style and Flight Experience Influence on Confirmation Bias in Lost Procedures.

BACKGROUND: Accident analysis and empirical research have shown that the decision-making process of pilots after becoming lost is adversely affected by confirmation bias; this constitutes a serious threat to aviation safety. However, the underlying mechanism of confirmation bias in the context of lost procedures are still unclear.METHODS: This study used scenario-based map-reading tasks to conduct two experiments to explore the mechanism of confirmation bias in the lost procedures. In Experiment 1, 34 undergraduate students and 28 flying cadets were enrolled in a formal experiment to examine the effects of verbal-imagery cognitive style, experience level, and their interaction on confirmation bias. In Experiment 2, we further explored the influence of strategy as a core component of experience on confirmation bias with 26 flying cadets.RESULTS: The study found that individuals were subject to confirmation bias in lost procedures. Visualizers (M = 0.78, SD = 0.75) were almost twice as likely to select the disconfirmatory features than verbalizers (M = 0.37, SD = 0.49). Visualizers exhibited a lower degree of confirmation bias than verbalizers, and experience helps verbalizers to reduce their degree of confirmation bias. The protective effect of experience mainly lies in individuals' choice of strategy.DISCUSSION: Future aviation safety campaigns could be aimed at adopting a candidate selection process that focuses more on psychological attributes by testing for cognitive style, and enriching individual experience through adequate training. Such measures would reduce confirmation bias.Xu Q, Wang M, Wang H, Liu B, You X, Ji M. Cognitive style and flight experience influence on confirmation bias in lost procedures. Aerosp Med Hum Perform. 2022; 93(8):618-626.

Investigation of pilots' mental health and analysis of influencing factors in China: based on structural equation model.

BACKGROUND: Pilots' physical and mental health might be significant contributing factors to flight safety. Exploring pilots' health-related quality of life (HRQoL) is crucial for aviation security, health management, and psychological security. This study aimed to explore HRQoL and mental health of pilots and analyze the health characteristics and influencing factors, such as demographic data, personality traits, social support, and resilience. It may provide data for a theoretical basis for aviation security work and health management strategy. METHODS: This is a cross-sectional study using quantitative approaches. Two hundred twenty male pilots with an average age of 33.31 years participated. They answered a social demographic questionnaire, Symptom Checklist-90, Short Form 36 Health Survey Questionnaire, Perceived social support scale, Connor-Davidson resilience scale, and Big Five Personality Inventories, whose data were analyzed using descriptive and inferential statistics. RESULTS: The mediating effect of personality factors between resilience and the HRQoL of pilots was observed. Personality factors also mediated the relationship between social support and the mental health of pilots. CONCLUSION: Pilots' mental health and quality of life need to be taken seriously. Social support, resilience, and personality factors affect pilots' mental health and quality of life.

Cognitive Modeling of Anticipation: Unsupervised Learning and Symbolic Modeling of Pilots' Mental Representations.

The ability to anticipate team members' actions enables joint action towards a common goal. Task knowledge and mental simulation allow for anticipating other agents' actions and for making inferences about their underlying mental representations. In human-AI teams, providing AI agents with anticipatory mechanisms can facilitate collaboration and successful execution of joint action. This paper presents a computational cognitive model demonstrating mental simulation of operators' mental models of a situation and anticipation of their behavior. The work proposes two successive steps: (1) A hierarchical cluster algorithm is applied to recognize patterns of behavior among pilots. These behavioral clusters are used to derive commonalities in situation models from empirical data (N = 13 pilots). (2) An ACT-R (adaptive control of thought - rational) cognitive model is implemented to mentally simulate different possible outcomes of action decisions and timing of a pilot. model tracing of ACT-R allows following up on operators' individual actions. Two models are implemented using the symbolic representations of ACT-R: one simulating normative behavior and the other by simulating individual differences and using subsymbolic learning. Model performance is analyzed by a comparison of both models. Results indicate the improved performance of the individual differences over the normative model and are discussed regarding implications for cognitive assistance capable of anticipating operator behavior.

Fatigue Detection of Pilots' Brain Through Brains Cognitive Map and Multilayer Latent Incremental Learning Model.

This work proposes a nonparametric prior induced deep sum-logarithmic-multinomial mixture (DSLMM) model to detect pilots' cognitive states through the developed brain power map. DSLMM uses multinormal distribution to infer the latent variable of each neuron in the first layer of the network. These latent variables obeyed a sum-logarithmic distribution that is backpropagated to its observation vector and the number of neurons in the next layer. Multinormal distribution is used to segment the extended observation vector to form a matrix associated with the width of the next layer. This work also proposes an adaptive topic-layer stochastic gradient Riemann (ATL-SGR) Markov chain Monte Carlo (MCMC) inference method to learn its global parameters without heuristic assumptions. The experimental results indicate that DSLMM can extract more probability distribution contained in the brain power map layer by layer, and achieve higher pilot cognition detection accuracy.

Patient, Procedure, People (PPP): recognising and responding to intraoperative critical events.

Intraoperative critical events are rarely experienced by individual surgeons but are commonly experienced at a workforce level. Finding unfamiliar or unexpected pathology, anatomy, haemorrhage or an iatrogenic organ or structure injury cannot be completely eliminated in the complex surgical environment. It is vital that an appropriate, safe response to these infrequent events takes place to prevent possible further harm to patients. This paper introduces 'Patient, Procedure, People', a tool adapted from aviation threat and error management (TEM) training. It allows surgical teams to improve situational awareness (SA), communicate effectively, flatten team hierarchy gradients and improve decision-making before responding to critical events. We review factors contributing to poor decision-making, with resulting errors. These include loss of SA (tunnel vision), acute stress reactions (fight-flight or freeze-hide) and limbic hijacking (surprise and startle events). Events may cause workload to increase beyond cognitive capacity, further exacerbating the situation. After completing initial actions to achieve a temporary 'place of safety', surgical teams may use the tool to effectively manage threat or mitigate error. Aviation is a high-reliability organisation that has pioneered human factors research and training. Airline pilots undergo regular simulated emergencies assessment, including mandatory human factors assessment. Although the complexities of the operating theatre do not currently lend themselves to high-fidelity simulation as in aviation, valuable transferrable lessons can be learnt from aviation's approach to TEM.

Effects of Hypoxia on Selected Psychophysiological Stress Responses of Military Aircrew.

There is a lack of information on the psychophysiological response of pilots under hypoxic conditions. The study of the physiological, psychological, cardiorespiratory, neurological, behavioural, sensory, and cognitive symptoms that may appear during training in hypobaric chambers is essential to optimize the training processes of aircrew members. Thus, the present study is aimed at analyzing the psychophysiological responses of aircrew members in an incremental hypoxia training protocol. Psychophysiological responses of 44 aircrew members (34 males and 10 females) in an incremental hypoxia training protocol (3 minutes at 0 meters, 8 minutes at 5,000 meters, and maximum time at 7500 meters) were measured. Results suggested that the incremental hypoxia training protocol did not affect cortical arousal and handgrip strength; however, it increased the sympathetic tone, perceived stress, perceived effort, and heart rate and decreased forced expiratory volume and blood oxygen saturation. Thus, we concluded that acute hypoxic hypobaric exposure leads to decreased parasympathetic tone, blood oxygen saturation, and maximal spirometry values, without negatively affecting handgrip strength and cortical arousal. This information will lead to find specific training systems that meet the real needs of aircrew.

Brain structural plasticity in visual and sensorimotor areas of airline pilots: A voxel-based morphometric study.

BACKGROUND AND PURPOSE: Airline pilot is a highly specialized profession that requires to response quickly and accurately in the presence of a wide variety of visual information. Although functional imaging studies have employed virtual simulation to identify brain areas that underlie various flying-related tasks, little is known about the specific patterns of structural plasticity in the airline pilot's brain. MATERIALS AND METHODS: In this study, we examined differences of gray matter and white matter volumes between 42 airline pilots and 39 non-pilots by using voxel-based morphometry, and further assessed the association between magnitude of structural alterations and flight time in the pilots. RESULTS: We found significantly increased white matter volume in the cuneus area in the pilot group compared to the non-pilot group (p < 0.05, FWE corrected). Using a relaxed threshold, it was also observed that the pilots had increased gray matter volume in the lingual gyrus, inferior frontal gyrus, supramarginal gyrus, cuneus, and postcentral gyrus, and increased white matter volume in the postcentral area (p < 0.001, uncorrected). Moreover, the pilots' flight time was positively correlated with gray matter volume in the postcentral gyrus and white matter volume in the cuneus area (p < 0.001, uncorrected). CONCLUSIONS: The morphological changes in specific visual and sensorimotor areas may provide airline pilots with neural efficiency in the visuo-motor processing related to flight.

The Effects of Increased Visual Information on Cognitive Workload in a Helicopter Simulator.

OBJECTIVE: To test the effects of enhanced display information ("symbology") on cognitive workload in a simulated helicopter environment, using the detection response task (DRT). BACKGROUND: Workload in highly demanding environments can be influenced by the amount of information given to the operator and consequently it is important to limit potential overload. METHODS: Participants (highly trained military pilots) completed simulated helicopter flights, which varied in visual conditions and the amount of information given. During these flights, participants also completed a DRT as a measure of cognitive workload. RESULTS: With more visual information available, pilots' landing accuracy was improved across environmental conditions. The DRT is sensitive to changes in cognitive workload, with workload differences shown between environmental conditions. Increasing symbology appeared to have a minor effect on workload, with an interaction effect of symbology and environmental condition showing that symbology appeared to moderate workload. CONCLUSION: The DRT is a useful workload measure in simulated helicopter settings. The level of symbology-moderated pilot workload. The increased level of symbology appeared to assist pilots' flight behavior and landing ability. Results indicate that increased symbology has benefits in more difficult scenarios. APPLICATIONS: The DRT is an easily implemented and effective measure of cognitive workload in a variety of settings. In the current experiment, the DRT captures the increased workload induced by varying the environmental conditions, and provides evidence for the use of increased symbology to assist pilots.

The effectiveness of a 17-week lifestyle intervention on health behaviors among airline pilots during COVID-19.

PURPOSE: The aim of this study was to evaluate the efficacy of a 17-week, 3-component lifestyle intervention for enhancing health behaviors during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: A parallel-group (intervention and control) study was conducted amongst 79 airline pilots over a 17-week period during the COVID-19 pandemic. The intervention group (n = 38) received a personalized sleep, dietary, and physical activity (PA) program. The control group (n = 41) received no intervention. Outcome measures for sleep, fruit and vegetable intake, PA, and subjective health were measured though an online survey before and after the 17-week period. The changes in outcome measures were used to determine the efficacy of the intervention. RESULTS: Significant main effects for time × group were found for International Physical Activity Questionnaire-walk (p = 0.02) and for all other outcome measures (p < 0.01). The intervention group significantly improved in sleep duration (p < 0.01; d = 1.35), Pittsburgh Sleep Quality Index score (p < 0.01; d = 1.14), moderate-to-vigorous PA (p < 0.01; d = 1.44), fruit and vegetable intake (p < 0.01; d = 2.09), Short Form 12v2 physical score (p < 0.01; d = 1.52), and Short Form 12v2 mental score (p < 0.01; d = 2.09). The control group showed significant negative change for sleep duration, Pittsburgh Sleep Quality Index score, and Short Form 12v2 mental score (p < 0.01). CONCLUSION: Results provide preliminary evidence that a 3-component healthy sleep, eating, and PA intervention elicit improvements in health behaviors and perceived subjective health in pilots and may improve quality of life during an unprecedented global pandemic.

Home-EEG assessment of possible compensatory mechanisms for sleep disruption in highly irregular shift workers - The ANCHOR study.

STUDY OBJECTIVES: While poor sleep quality has been related to increased risk of Alzheimer's disease, long-time shift workers (maritime pilots) did not manifest evidence of early Alzheimer's disease in a recent study. We explored two hypotheses of possible compensatory mechanisms for sleep disruption: Increased efficiency in generating deep sleep during workweeks (model 1) and rebound sleep during rest weeks (model 2). METHODS: We used data from ten male maritime pilots (mean age: 51.6±2.4 years) with a history of approximately 18 years of irregular shift work. Subjective sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI). A single lead EEG-device was used to investigate sleep in the home/work environment, quantifying total sleep time (TST), deep sleep time (DST), and deep sleep time percentage (DST%). Using multilevel models, we studied the sleep architecture of maritime pilots over time, at the transition of a workweek to a rest week. RESULTS: Maritime pilots reported worse sleep quality in workweeks compared to rest weeks (PSQI = 8.2±2.2 vs. 3.9±2.0; p<0.001). Model 1 showed a trend towards an increase in DST% of 0.6% per day during the workweek (p = 0.08). Model 2 did not display an increase in DST% in the rest week (p = 0.87). CONCLUSIONS: Our findings indicated that increased efficiency in generating deep sleep during workweeks is a more likely compensatory mechanism for sleep disruption in the maritime pilot cohort than rebound sleep during rest weeks. Compensatory mechanisms for poor sleep quality might mitigate sleep disruption-related risk of developing Alzheimer's disease. These results should be used as a starting point for future studies including larger, more diverse populations of shift workers.