Alertness, Fatigue, Mood, and PerformanceLHops26NCT07761611
Fatigue in Long-Haul Operations
A study testing Caloric restriction and Light exposure in people with Alertness, Fatigue, Mood, and Performance and Calorie Restriction and Light Intervention, run by National Aeronautics and Space Administration (NASA) at 1 site in United States.
Trial summary
The purpose of the present study is to test novel countermeasures to reduce fatigue among airline pilots during long-haul flight operations. The investigators will collect objective and subjective sleep, sleepiness, workload, and performance data from active-duty line pilots flying long-haul flight operations (>8… Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Alertness, Fatigue, Mood, and Performance, Calorie Restriction and Light Intervention
- What is being tested?
- Caloric restriction and Light exposure
- Type of treatment
- Medical device, Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 118 participants
- Where
- 1 siteUnited States
- Study dates
- Sep 2026to Jul 2029
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- All medically qualified, active-duty pilots currently flying overnight long-haul operations are eligible to be included as participants in the study. Participants must be line pilots that spend at least 50% of their typical monthly schedule flying long-haul operations (defined at flights over eight hours induration).
Who cannot join
- Pilots with metabolic disorders, such as diabetes, those actively trying to lose weight or receiving GLP-1 injections, or those who indicate that they are sensitive to light will be excluded from participation. The medical monitor will review the pilot's self-reported medical conditions and medications (if applicable) prior to enrolment in the study.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
United States1 site
NASA Ames Research Center
Mountain View, California, 94043
Erin E Flynn-Evans, PhD, MPH, 6502793459, erin.e.flynn-evans@nasa.gov
About this study
Official title: Evaluation of Fatigue and Mitigations During Long-haul Operations
The purpose of the present study is to test novel countermeasures to reduce fatigue among airline pilots during long-haul flight operations. The investigators will collect objective and subjective sleep, sleepiness, workload, and performance data from active-duty line pilots flying long-haul flight operations (>8 hours). Data will be collected during days off prior to the trip start, during flights and layover, and during days off following the trip end.
Read the detailed description
This study will evaluate whether a calorie restriction and lighting countermeasure are capable of improving performance and reducing fatigue and sleepiness among commercial airline pilots during trips that involve long-haul (LH) overnight operations. All participants will collect data for two LH trips that involve overnight flying, and for three days before and after each trip. All participants will collect baseline data for one trip with no intervention. Upon completion of the baseline trip, participants will be randomized to receive the intervention or control for a future similar trip. The intervention will involve asking pilots to reduce their calorie intake during the biological night to < 10% of their daily need and to wear blue-enriched light emitting glasses for 20 minutes following their inflight rest break before they return to the flight deck. The control condition will involve reminding pilots about standard fatigue risk management practices that are recommended by their company.
Specific Aims: The aim of this study is to determine whether a calorie restriction and lighting intervention will improve alertness and performance during LH flight operations compared to standard fatigue risk management practices among pilots flying LH overnight operations during outbound and return flights.
Hypotheses:
We hypothesize that:
- pilot alertness, fatigue, mood, and performance at top of descent (TOD) will be better among pilots randomized to limit their overnight calorie intake to a small snack (<10% daily calorie needs) compared to those who are not provided with guidance on calorie restriction.
- pilot alertness, fatigue, mood, and performance following their inflight rest break will be better following exposure to blue-enriched lighting compared to no blue-enriched lighting.
Primary Outcome Measures:
We will measure self-reported sleepiness using the Karolinska Sleepiness Scale (KSS), which is a 9-item Likert scale that is used to assess sleepiness. We will measure self-reported fatigue using the Samn-Perelli scale (SP), which is a 7-item Likert scale that is used to assess fatigue. We will measure mood using a series of visual analog scales (VAS). We will measure objective cognitive performance using the five-minute psychomotor vigilance task (PVT), a simple reaction time task with outcome measures including mean reaction time, response speed (1/reaction time) and number of lapses (reaction time >500ms). These outcomes will be assessed throughout the study, with primary comparisons between conditions evaluated ~20 minutes after waking from inflight rest and at the top of TOD of each flight.
We will also collect a number of secondary outcomes to use as co-variates in analysis and to conduct exploratory analyses. These include measures taken three days before and after each trip, during layover, and also at the top of climb (TOC) for each flight. The specific measures that we will collect are outlined below and include objective and subjective sleep outcomes, exercise information, food intake timing and composition, hunger, workload, and perceived performance. We will also collect a number of baseline questionnaires to document demographics and typical sleep and eating habits.
Participants will begin data collection 3 days prior to their trip departure. At the start of data collection (for each trip), participants will begin wearing the activity monitor and continuous glucose monitor and continue to wear them for the duration of the study period which will conclude 3 days following their return from their trip. They will make entries in the apps, reporting on their sleep periods, food intake, and exercise each day. Participants will collect additional data on duty characteristics (hassle factors like delays, air traffic control issues, countermeasures employed, hotel issues, etc.) during the trip. Participants will be asked to complete a follow-up survey/debrief about their experience 1-3 months following their participation.
Measures Morning Sleep Log. At the beginning of each day, participants will complete a sleep log within the NASA PVT+ App. Each entry will include: wake-up time, a rating of sleep quality (5-point scale from Extremely Good to Extremely Poor), the Samn-Perelli (SP) and Karolinska Sleepiness Scale (KSS), the location of their sleep, the timing and duration of any awakenings during the sleep period, and any additional information (i.e., notes). Pre- and post-flight naps will be logged separately.
Evening Sleep Log. At the end of each day (right before sleep), participants will use the NASA PVT+ app to log the time they are going to sleep and any naps taken since the last sleep entry (including timing and duration). Participants will also complete the SP and KSS and have an opportunity to provide any additional comments about the day if necessary.
Flight Duty Period Data Collection. On flight duty days, participants will have additional entries and tasks to complete within the NASA PVT+ app (i.e., pre-duty, during flight, post-flight, and post-duty).
- Pre-duty entries will include flight information, layover information, commute information, the SP, KSS, mood ratings, and the PVT.
- During flight, they will complete the SP, KSS, mood ratings, and the PVT, at or near the timing of TOC and TOD, and before and after inflight rest. In addition, participants will complete TLX at or near time of TOC and TOD, and sleep log after inflight rest.
- Post-flight/duty entries will occur within one hour of landing and will include flight information, the NASA TLX, report of fatigue countermeasures used, and hassle factors experienced (e.g., weather, air traffic control issues, traffic), SP, KSS, mood ratings and PVT (if needed).
- Participants will also complete both the morning and evening sleep log entries on flight duty days. Additional questions in the sleep log on duty days include: commute information (i.e., timing, duration, and type of travel) and any hotel-related disruptions.
- Participants will be told to not complete study tasks if they would interfere with flight duties and that study tasks may be delayed, skipped, or stopped without penalty whenever operationally unsafe or impractical. If the data collection is too disruptive, participants may discontinue participation in the study.
Food and fluid intake. Participants will document their food and fluid intake throughout the entire data collection period using the LoseIt! application. The LoseIt! app will be set up by the study team so that it does not include any personally identifiable information (i.e., a code will be used instead of the participant's name). Participants will be instructed to document their food and fluid intake as they consume it. The data will be checked by study staff each day to ensure the participant completed data input.
Morningness/Eveningness Questionnaire (MEQ). The MEQ is a widely used self-assessment questionnaire (19 items) designed to determine a person's chronotype, that is, whether they experience peak alertness in the morning, evening or in between. The MEQ will be administered at the beginning of the study as part of the baseline demographic series of questionnaires.
Epworth Sleepiness Scale (ESS). The ESS routinely used self-administered questionnaire (8 items) that can be used to assess daytime sleepiness. The ESS will be administered at the beginning of the study as part of the baseline demographic series of questionnaires.
Insomnia Severity Index (ISI). The ISI is a 7-item questionnaire used to assess the severity of daytime and nighttime components of insomnia. The scale uses a 5-point Likert scale to measure the different components, including: severity sleep onset, sleep maintenance, early morning awakening problems, sleep dissatisfaction, interference of sleep difficulties with daytime function, noticeability of sleep problems by others, and distress caused by the sleep difficulties. Total score can range from 0-28 with higher scores indicating more severe insomnia. The ISI will be administered at the beginning of the study as part of the baseline demographic series of questionnaires.
Pittsburgh Sleep Quality Index (PSQI). The PSQI is a 19-item questionnaire that quantifies sleep quality, latency, and duration, and daytime dysfunction into a single score that distinguishes good from poor sleepers. The PSQI will be administered at the beginning of the study as part of the baseline demographic series of questionnaires.
The Big Five Personality Inventory - 2 (BFI-2). The BFI-2 is an updated version of the BFI-1 with further breakdowns (i.e., "facets") of each of the 5 dimensions/trait: Extraversion (with facets of Sociability, Assertiveness, and Energy Level), Agreeableness (Compassion, Respectfulness, and Trust), Conscientiousness (Organization, Productiveness, and Responsibility), Negative Emotionality (Anxiety, Depression, and Emotional Volatility), and Open-Mindedness (Intellectual Curiosity, Aesthetic Sensitivity, and Creative Imagination). The original BFI-2 is 60 items. The BFI-2 will be administered at the beginning of the study as part of the baseline demographic series of questionnaires.
The Chrononutrition Questionnaire (CP-Q). The CP-Q is an 18-item questionnaire that assess general patterns of chrononutrition preferences and chrononutrition behaviors, on typical work/school days and free days. The CP-Q will be administered at the beginning of the study as part of the baseline demographic series of questionnaires.
NASA-TLX. The NASA Task Load Index (TLX) is a subjective, multidimensional tool that rates workload relative to a task. The TLX is taken at the start of the study to make a series of pairwise comparisons and then again for rating each flight duty period.
Hassle Factors. Factors that may affect workload during flight operations (e.g., weather, ATC, cabin activity, procedures \& documentation) will be reported for the flight duty period. Hassle Factors are collected in post-flight using the NASA PVT+ App.
Samn-Perelli Scale (SP). The Samn-Perelli Scale is a commonly used 7-point scale for self-rating levels of fatigue at a given time. The scale: 1= fully alert - wide awake, 2= very lively, 3= okay - somewhat fresh, 4= a little tired, 5= moderately tired, 6= extremely tired, 7= completely exhausted.
Karolinska Sleepiness Scale (KSS). The KSS is a widely used 9-point scale for self-rating levels of sleepiness at a given time. The scale: 1 = extremely alert, 2= very alert, 3 = alert, 4= rather alert, 5 = neither alert nor sleepy, 6= some signs of sleepiness, 7 = sleepy - but no difficulty remaining awake, 8= sleepy - some effort to keep awake, and 9 = extremely sleepy - fighting sleep.
Sleep Quality rating. All sleep periods (including naps) will be rated for quality. The scale: 1 = extremely good, 2= good, 3 = average, 4= poor, 5 = extremely poor.
Visual analog scales (VAS) of mood. A series of 100-point bi-anchored mood scales including the following pairs: alert-sleepy, cheerful-miserable, calm-tense, depressed-elated, stressed-relaxed, peaceful-hostile, greedy-generous, aggressive-easygoing, lethargic-energetic. Participants mark on the horizontal line to indicate how they are currently feeling. The VAS will be administered in conjunction with the PVT, KSS, and SP.
Self-Reported Performance Rating. Participants will be asked to rate how well they thought they performed after each test bout on a 7-point scale ranging from "extremely good" to "extremely poor". The scale will be administered before and after each PVT.
Psychomotor vigilance task (PVT). The PVT is a widely used sustained-attention, reaction-time task that measures the speed with which subjects respond to a visual stimulus. The PVT is a simple task where the subject taps the screen as soon as a visual stimulus appears. The stimulus appears randomly every few seconds during the 5-minute task.
- Being tested
- Caloric restriction, Light exposure
- Keywords
- fatigue, alertness, cognitive performance, light intervention, calorie restriction, aviation, psychomotor vigilance task, NASA TLX
- Medical subject headings
- Fatigue
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Caloric restrictionBehavioural
To reduce calorie intake during the biological night to < 10% of calculated daily need.
Light exposureDevice
To wear blue-enriched light emitting glasses for 20 minutes following an inflight rest break before returning to the flight deck during both outbound and return flights.
| Study group | Role | What they receive |
|---|---|---|
| Intervention (caloric restriction and light intervention) | Experimental | The intervention will involve asking pilots to reduce their calorie intake during the biological night to < 10% of their daily need and to wear blue-enriched light emitting glasses for 20 minutes following their inflight rest break before they return to the flight deck during both outbound and return flights Receives: Behavioral: Caloric restriction; Device: Light exposure |
| Control | No intervention | The control condition will involve reminding pilots about standard fatigue risk management practices that are recommended by their company. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Vigilant Attention
Measured using the 5-minute Psychomotor Vigilance Task (PVT); a simple reaction time test with measures that include mean reaction time, response speed (1/RT), and number of lapses (RT > 500ms).
Measured: minimum of 18 days, morning, afternoon, evening and top of descent of all flights
Subjective Sleepiness
Measured using the Karolinska Sleepiness Scale (KSS); a 9-point Likert scale with higher scores indicating higher levels of sleepiness.
Measured: Minimum of 18 days, morning, afternoon, evening and top of descent of all flights
Subjective Fatigue
Measured using the Samn-Perelli fatigue scale; a 7-point Likert scale with higher scores indicating higher levels of fatigue
Measured: minimum of 18 days, morning, afternoon, evening and top of descent of all flights
Objective Sleep
Measured using an accelerometer (wristwatch-like device) and light sensor to determine sleep and wake patterns and various other objective sleep metrics (e.g., sleep onset, wake after sleep onset, total sleep time).
Measured: 24 hours a day for a minimum of 18 days
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 Aug 2026
- Study startSep 2026 (estimated)
- Primary completionJul 2029 (estimated)
- Study completionJul 2029 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (39)Papers the sponsor has linked to this study.
- Other trials for Alertness, Fatigue, Mood, and PerformanceStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Participants will be randomized to receive the intervention or control. The intervention will involve asking pilots to reduce their calorie intake during the biological night to \< 10% of their daily need and to wear blue-enriched light emitting glasses for 20 minutes following their inflight rest break before they return to the flight deck during both outbound and return flights. Participants in the intervention condition will also be asked to refrain from eating during the biological night during the three pre-trip nights. The control condition will involve reminding pilots about standard fatigue risk management practices that are recommended by their company. This will be a between-subjects, rather than within-subjects study to minimize intervention spillover. Participants will collect data for two trips, with the first trip representing a baseline for each collection.
- Masking
- None (open label)
- Enrolment
- 118 participants (estimated)
Sponsor and investigators
- Lead sponsor
- National Aeronautics and Space Administration (NASA)
- Sponsor type
- US federal agency
- Collaborators
- Civil Aerospace Medical Institute, Washington State University
- Responsible party
- Principal investigator, Erin E. Flynn-Evans, National Aeronautics and Space Administration (NASA)
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07761611
- Sponsor's protocol ID
- STUDY00000991
- Other IDs
- A2509-069-080-084046
- Acronym
- LHops26
- Status last verified
- Aug 2026
- First submitted
- 10 Jul 2026
- Last updated
- 25 Aug 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
C Gupta C, Dominiak M, Kovac K, C Reynolds A, A Ferguson S, J Hilditch C, Sprajcer M, E Vincent G. On-call work and sleep: the importance of switching on during a callout and switching off after a call. Ind Health. 2022 Apr 1;60(2):91-96. doi: 10.2486/indhealth.2021-0124. Epub 2021 Oct 25.
PubMed 34690251Gupta CC, Dorrian J, Grant CL, Pajcin M, Coates AM, Kennaway DJ, Wittert GA, Heilbronn LK, Della Vedova CB, Banks S. It's not just what you eat but when: The impact of eating a meal during simulated shift work on driving performance. Chronobiol Int. 2017;34(1):66-77. doi: 10.1080/07420528.2016.1237520. Epub 2016 Oct 13.
PubMed 27736177Qian J, Vujovic N, Nguyen H, Rahman N, Heng SW, Amira S, Scheer FAJL, Chellappa SL. Daytime eating prevents mood vulnerability in night work. Proc Natl Acad Sci U S A. 2022 Sep 20;119(38):e2206348119. doi: 10.1073/pnas.2206348119. Epub 2022 Sep 12.
PubMed 36095195Gupta CC, Centofanti S, Dorrian J, Coates A, Stepien JM, Kennaway D, Wittert G, Heilbronn L, Catcheside P, Noakes M, Coro D, Chandrakumar D, Banks S. Altering meal timing to improve cognitive performance during simulated nightshifts. Chronobiol Int. 2019 Dec;36(12):1691-1713. doi: 10.1080/07420528.2019.1676256. Epub 2019 Oct 10.
PubMed 31599661Chellappa SL, Qian J, Vujovic N, Morris CJ, Nedeltcheva A, Nguyen H, Rahman N, Heng SW, Kelly L, Kerlin-Monteiro K, Srivastav S, Wang W, Aeschbach D, Czeisler CA, Shea SA, Adler GK, Garaulet M, Scheer FAJL. Daytime eating prevents internal circadian misalignment and glucose intolerance in night work. Sci Adv. 2021 Dec 3;7(49):eabg9910. doi: 10.1126/sciadv.abg9910. Epub 2021 Dec 3.
PubMed 34860550McHill AW, Phillips AJ, Czeisler CA, Keating L, Yee K, Barger LK, Garaulet M, Scheer FA, Klerman EB. Later circadian timing of food intake is associated with increased body fat. Am J Clin Nutr. 2017 Nov;106(5):1213-1219. doi: 10.3945/ajcn.117.161588. Epub 2017 Sep 6.
PubMed 28877894Gill S, Panda S. A Smartphone App Reveals Erratic Diurnal Eating Patterns in Humans that Can Be Modulated for Health Benefits. Cell Metab. 2015 Nov 3;22(5):789-98. doi: 10.1016/j.cmet.2015.09.005. Epub 2015 Sep 24.
PubMed 26411343Yoshitake R, Park I, Ogata H, Omi N. Meal Timing and Sleeping Energy Metabolism. Nutrients. 2023 Feb 2;15(3):763. doi: 10.3390/nu15030763.
PubMed 36771468Hilditch CJ, Wong LR, Bathurst NG, Feick NH, Pradhan S, Santamaria A, Shattuck NL, Flynn-Evans EE. Rise and shine: The use of polychromatic short-wavelength-enriched light to mitigate sleep inertia at night following awakening from slow-wave sleep. J Sleep Res. 2022 Oct;31(5):e13558. doi: 10.1111/jsr.13558. Epub 2022 Jan 31.
PubMed 35102669Hilditch CJ, Pradhan S, Costedoat G, Bathurst NG, Glaros Z, Gregory KB, Shattuck NL, Flynn-Evans EE. An at-home evaluation of a light intervention to mitigate sleep inertia symptoms. Sleep Health. 2024 Feb;10(1S):S121-S129. doi: 10.1016/j.sleh.2023.07.015. Epub 2023 Sep 9.
PubMed 37679265Hilditch CJ, Pradhan S, Costedoat G, Bathurst NG, Glaros Z, Gregory KB, Shattuck NL, Flynn-Evans EE. Sex differences in perceptions of sleep inertia following nighttime awakenings. Sleep Adv. 2022 Dec 14;4(1):zpac043. doi: 10.1093/sleepadvances/zpac043. eCollection 2023.
PubMed 37193286Souman JL, Tinga AM, Te Pas SF, van Ee R, Vlaskamp BNS. Acute alerting effects of light: A systematic literature review. Behav Brain Res. 2018 Jan 30;337:228-239. doi: 10.1016/j.bbr.2017.09.016. Epub 2017 Sep 12.
PubMed 28912014Lok R, Smolders KCHJ, Beersma DGM, de Kort YAW. Light, Alertness, and Alerting Effects of White Light: A Literature Overview. J Biol Rhythms. 2018 Dec;33(6):589-601. doi: 10.1177/0748730418796443. Epub 2018 Sep 7.
PubMed 30191746Santhi N, Groeger JA, Archer SN, Gimenez M, Schlangen LJ, Dijk DJ. Morning sleep inertia in alertness and performance: effect of cognitive domain and white light conditions. PLoS One. 2013 Nov 18;8(11):e79688. doi: 10.1371/journal.pone.0079688. eCollection 2013.
PubMed 24260280Hayashi M, Masuda A, Hori T. The alerting effects of caffeine, bright light and face washing after a short daytime nap. Clin Neurophysiol. 2003 Dec;114(12):2268-78. doi: 10.1016/s1388-2457(03)00255-4.
PubMed 14652086
Study at a glance
From the registry record, last updated by the sponsor on 25 Aug 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Evaluation of Fatigue and Mitigations During Long-haul Operations
- ClinicalTrials.gov ID
- NCT07761611
- Acronym / sponsor ID
- LHops26 / STUDY00000991
- Keywords
- fatigue, alertness, cognitive performance, light intervention, calorie restriction, aviation, psychomotor vigilance task, NASA TLX
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 118 participants (estimated)
- Lead sponsor
- National Aeronautics and Space Administration (NASA)US federal agency
- Collaborators
- Civil Aerospace Medical Institute, Washington State University
- Study start
- Sep 2026 (estimated)
- Primary completion
- Jul 2029 (estimated)
- Study completion
- Jul 2029 (estimated)
- First posted
- 12 Aug 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The purpose of the present study is to test novel countermeasures to reduce fatigue among airline pilots during long-haul flight operations. The investigators will collect objective and subjective sleep, sleepiness, workload, and performance data from active-duty line pilots flying long-haul flight operations (>8 hours). Data will be collected during days off prior to the trip start, during flights and layover, and during days off following the trip end.
Detailed description
This study will evaluate whether a calorie restriction and lighting countermeasure are capable of improving performance and reducing fatigue and sleepiness among commercial airline pilots during trips that involve long-haul (LH) overnight operations. All participants will collect data for two LH trips that involve overnight flying, and for three days before and after each trip. All participants will collect baseline data for one trip with no intervention. Upon completion of the baseline trip, participants will be randomized to receive the intervention or control for a future similar trip. The intervention will involve asking pilots to reduce their calorie intake during the biological night to < 10% of their daily need and to wear blue-enriched light emitting glasses for 20 minutes following their inflight rest break before they return to the flight deck. The control condition will involve reminding pilots about standard fatigue risk management practices that are recommended by their company.
Specific Aims: The aim of this study is to determine whether a calorie restriction and lighting intervention will improve alertness and performance during LH flight operations compared to standard fatigue risk management practices among pilots flying LH overnight operations during outbound and return flights.
Hypotheses:
We hypothesize that:
- pilot alertness, fatigue, mood, and performance at top of descent (TOD) will be better among pilots randomized to limit their overnight calorie intake to a small snack (<10% daily calorie needs) compared to those who are not provided with guidance on calorie restriction.
- pilot alertness, fatigue, mood, and performance following their inflight rest break will be better following exposure to blue-enriched lighting compared to no blue-enriched lighting.
Primary Outcome Measures:
We will measure self-reported sleepiness using the Karolinska Sleepiness Scale (KSS), which is a 9-item Likert scale that is used to assess sleepiness. We will measure self-reported fatigue using the Samn-Perelli scale (SP), which is a 7-item Likert scale that is used to assess fatigue. We will measure mood using a series of visual analog scales (VAS). We will measure objective cognitive performance using the five-minute psychomotor vigilance task (PVT), a simple reaction time task with outcome measures including mean reaction time, response speed (1/reaction time) and number of lapses (reaction time >500ms). These outcomes will be assessed throughout the study, with primary comparisons between conditions evaluated ~20 minutes after waking from inflight rest and at the top of TOD of each flight.
We will also collect a number of secondary outcomes to use as co-variates in analysis and to conduct exploratory analyses. These include measures taken three days before and after each trip, during layover, and also at the top of climb (TOC) for each flight. The specific measures that we will collect are outlined below and include objective and subjective sleep outcomes, exercise information, food intake timing and composition, hunger, workload, and perceived performance. We will also collect a number of baseline questionnaires to document demographics and typical sleep and eating habits.
Participants will begin data collection 3 days prior to their trip departure. At the start of data collection (for each trip), participants will begin wearing the activity monitor and continuous glucose monitor and continue to wear them for the duration of the study period which will conclude 3 days following their return from their trip. They will make entries in the apps, reporting on their sleep periods, food intake, and exercise each day. Participants will collect additional data on duty characteristics (hassle factors like delays, air traffic control issues, countermeasures employed, hotel issues, etc.) during the trip. Participants will be asked to complete a follow-up survey/debrief about their experience 1-3 months following their participation.
Measures Morning Sleep Log. At the beginning of each day, participants will complete a sleep log within the NASA PVT+ App. Each entry will include: wake-up time, a rating of sleep quality (5-point scale from Extremely Good to Extremely Poor), the Samn-Perelli (SP) and Karolinska Sleepiness Scale (KSS), the location of their sleep, the timing and duration of any awakenings during the sleep period, and any additional information (i.e., notes). Pre- and post-flight naps will be logged separately.
Evening Sleep Log. At the end of each day (right before sleep), participants will use the NASA PVT+ app to log the time they are going to sleep and any naps taken since the last sleep entry (including timing and duration). Participants will also complete the SP and KSS and have an opportunity to provide any additional comments about the day if necessary.
Flight Duty Period Data Collection. On flight duty days, participants will have additional entries and tasks to complete within the NASA PVT+ app (i.e., pre-duty, during flight, post-flight, and post-duty).
- Pre-duty entries will include flight information, layover information, commute information, the SP, KSS, mood ratings, and the PVT.
- During flight, they will complete the SP, KSS, mood ratings, and the PVT, at or near the timing of TOC and TOD, and before and after inflight rest. In addition, participants will complete TLX at or near time of TOC and TOD, and sleep log after inflight rest.
- Post-flight/duty entries will occur within one hour of landing and will include flight information, the NASA TLX, report of fatigue countermeasures used, and hassle factors experienced (e.g., weather, air traffic control issues, traffic), SP, KSS, mood ratings and PVT (if needed).
- Participants will also complete both the morning and evening sleep log entries on flight duty days. Additional questions in the sleep log on duty days include: commute information (i.e., timing, duration, and type of travel) and any hotel-related disruptions.
- Participants will be told to not complete study tasks if they would interfere with flight duties and that study tasks may be delayed, skipped, or stopped without penalty whenever operationally unsafe or impractical. If the data collection is too disruptive, participants may discontinue participation in the study.
Food and fluid intake. Participants will document their food and fluid intake throughout the entire data collection period using the LoseIt! application. The LoseIt! app will be set up by the study team so that it does not include any personally identifiable information (i.e., a code will be used instead of the participant's name). Participants will be instructed to document their food and fluid intake as they consume it. The data will be checked by study staff each day to ensure the participant completed data input.
Morningness/Eveningness Questionnaire (MEQ). The MEQ is a widely used self-assessment questionnaire (19 items) designed to determine a person's chronotype, that is, whether they experience peak alertness in the morning, evening or in between. The MEQ will be administered at the beginning of the study as part of the baseline demographic series of questionnaires.
Epworth Sleepiness Scale (ESS). The ESS routinely used self-administered questionnaire (8 items) that can be used to assess daytime sleepiness. The ESS will be administered at the beginning of the study as part of the baseline demographic series of questionnaires.
Insomnia Severity Index (ISI). The ISI is a 7-item questionnaire used to assess the severity of daytime and nighttime components of insomnia. The scale uses a 5-point Likert scale to measure the different components, including: severity sleep onset, sleep maintenance, early morning awakening problems, sleep dissatisfaction, interference of sleep difficulties with daytime function, noticeability of sleep problems by others, and distress caused by the sleep difficulties. Total score can range from 0-28 with higher scores indicating more severe insomnia. The ISI will be administered at the beginning of the study as part of the baseline demographic series of questionnaires.
Pittsburgh Sleep Quality Index (PSQI). The PSQI is a 19-item questionnaire that quantifies sleep quality, latency, and duration, and daytime dysfunction into a single score that distinguishes good from poor sleepers. The PSQI will be administered at the beginning of the study as part of the baseline demographic series of questionnaires.
The Big Five Personality Inventory - 2 (BFI-2). The BFI-2 is an updated version of the BFI-1 with further breakdowns (i.e., "facets") of each of the 5 dimensions/trait: Extraversion (with facets of Sociability, Assertiveness, and Energy Level), Agreeableness (Compassion, Respectfulness, and Trust), Conscientiousness (Organization, Productiveness, and Responsibility), Negative Emotionality (Anxiety, Depression, and Emotional Volatility), and Open-Mindedness (Intellectual Curiosity, Aesthetic Sensitivity, and Creative Imagination). The original BFI-2 is 60 items. The BFI-2 will be administered at the beginning of the study as part of the baseline demographic series of questionnaires.
The Chrononutrition Questionnaire (CP-Q). The CP-Q is an 18-item questionnaire that assess general patterns of chrononutrition preferences and chrononutrition behaviors, on typical work/school days and free days. The CP-Q will be administered at the beginning of the study as part of the baseline demographic series of questionnaires.
NASA-TLX. The NASA Task Load Index (TLX) is a subjective, multidimensional tool that rates workload relative to a task. The TLX is taken at the start of the study to make a series of pairwise comparisons and then again for rating each flight duty period.
Hassle Factors. Factors that may affect workload during flight operations (e.g., weather, ATC, cabin activity, procedures \& documentation) will be reported for the flight duty period. Hassle Factors are collected in post-flight using the NASA PVT+ App.
Samn-Perelli Scale (SP). The Samn-Perelli Scale is a commonly used 7-point scale for self-rating levels of fatigue at a given time. The scale: 1= fully alert - wide awake, 2= very lively, 3= okay - somewhat fresh, 4= a little tired, 5= moderately tired, 6= extremely tired, 7= completely exhausted.
Karolinska Sleepiness Scale (KSS). The KSS is a widely used 9-point scale for self-rating levels of sleepiness at a given time. The scale: 1 = extremely alert, 2= very alert, 3 = alert, 4= rather alert, 5 = neither alert nor sleepy, 6= some signs of sleepiness, 7 = sleepy - but no difficulty remaining awake, 8= sleepy - some effort to keep awake, and 9 = extremely sleepy - fighting sleep.
Sleep Quality rating. All sleep periods (including naps) will be rated for quality. The scale: 1 = extremely good, 2= good, 3 = average, 4= poor, 5 = extremely poor.
Visual analog scales (VAS) of mood. A series of 100-point bi-anchored mood scales including the following pairs: alert-sleepy, cheerful-miserable, calm-tense, depressed-elated, stressed-relaxed, peaceful-hostile, greedy-generous, aggressive-easygoing, lethargic-energetic. Participants mark on the horizontal line to indicate how they are currently feeling. The VAS will be administered in conjunction with the PVT, KSS, and SP.
Self-Reported Performance Rating. Participants will be asked to rate how well they thought they performed after each test bout on a 7-point scale ranging from "extremely good" to "extremely poor". The scale will be administered before and after each PVT.
Psychomotor vigilance task (PVT). The PVT is a widely used sustained-attention, reaction-time task that measures the speed with which subjects respond to a visual stimulus. The PVT is a simple task where the subject taps the screen as soon as a visual stimulus appears. The stimulus appears randomly every few seconds during the 5-minute task.
Study design
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- Participants will be randomized to receive the intervention or control. The intervention will involve asking pilots to reduce their calorie intake during the biological night to < 10% of their daily need and to wear blue-enriched light emitting glasses for 20 minutes following their inflight rest break before they return to the flight deck during both outbound and return flights. Participants in the intervention condition will also be asked to refrain from eating during the biological night during the three pre-trip nights. The control condition will involve reminding pilots about standard fatigue risk management practices that are recommended by their company. This will be a between-subjects, rather than within-subjects study to minimize intervention spillover. Participants will collect data for two trips, with the first trip representing a baseline for each collection.
| Arm | Type | Receives |
|---|---|---|
| Intervention (caloric restriction and light intervention) | Experimental | Behavioral: Caloric restriction, Device: Light exposureThe intervention will involve asking pilots to reduce their calorie intake during the biological night to < 10% of their daily need and to wear blue-enriched light emitting glasses for 20 minutes following their inflight rest break before they return to the flight deck during both outbound and return flights |
| Control | No intervention | –The control condition will involve reminding pilots about standard fatigue risk management practices that are recommended by their company. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (1 listed)
- All medically qualified, active-duty pilots currently flying overnight long-haul operations are eligible to be included as participants in the study. Participants must be line pilots that spend at least 50% of their typical monthly schedule flying long-haul operations (defined at flights over eight hours induration).
Key exclusion criteria (1 listed)
- Pilots with metabolic disorders, such as diabetes, those actively trying to lose weight or receiving GLP-1 injections, or those who indicate that they are sensitive to light will be excluded from participation. The medical monitor will review the pilot's self-reported medical conditions and medications (if applicable) prior to enrolment in the study.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Caloric restrictionTo reduce calorie intake during the biological night to < 10% of calculated daily need. | Behavioural | Intervention (caloric restriction and light intervention) |
| Light exposureTo wear blue-enriched light emitting glasses for 20 minutes following an inflight rest break before returning to the flight deck during both outbound and return flights. | Device | Intervention (caloric restriction and light intervention) |
Primary outcome
Vigilant Attention
Time frame: minimum of 18 days, morning, afternoon, evening and top of descent of all flights
Measured using the 5-minute Psychomotor Vigilance Task (PVT); a simple reaction time test with measures that include mean reaction time, response speed (1/RT), and number of lapses (RT > 500ms).
Subjective Sleepiness
Time frame: Minimum of 18 days, morning, afternoon, evening and top of descent of all flights
Measured using the Karolinska Sleepiness Scale (KSS); a 9-point Likert scale with higher scores indicating higher levels of sleepiness.
Subjective Fatigue
Time frame: minimum of 18 days, morning, afternoon, evening and top of descent of all flights
Measured using the Samn-Perelli fatigue scale; a 7-point Likert scale with higher scores indicating higher levels of fatigue
Objective Sleep
Time frame: 24 hours a day for a minimum of 18 days
Measured using an accelerometer (wristwatch-like device) and light sensor to determine sleep and wake patterns and various other objective sleep metrics (e.g., sleep onset, wake after sleep onset, total sleep time).
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 25 Aug 2026.
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- Background: PubMed 27736177Gupta CC, Dorrian J, Grant CL, Pajcin M, Coates AM, Kennaway DJ, Wittert GA, Heilbronn LK, Della Vedova CB, Banks S. It's not just what you eat but when: The impact of eating a meal during simulated shift work on driving performance. Chronobiol Int. 2017;34(1):66-77. doi: 10.1080/07420528.2016.1237520. Epub 2016 Oct 13.
- Background: PubMed 36095195Qian J, Vujovic N, Nguyen H, Rahman N, Heng SW, Amira S, Scheer FAJL, Chellappa SL. Daytime eating prevents mood vulnerability in night work. Proc Natl Acad Sci U S A. 2022 Sep 20;119(38):e2206348119. doi: 10.1073/pnas.2206348119. Epub 2022 Sep 12.
- Background: PubMed 31599661Gupta CC, Centofanti S, Dorrian J, Coates A, Stepien JM, Kennaway D, Wittert G, Heilbronn L, Catcheside P, Noakes M, Coro D, Chandrakumar D, Banks S. Altering meal timing to improve cognitive performance during simulated nightshifts. Chronobiol Int. 2019 Dec;36(12):1691-1713. doi: 10.1080/07420528.2019.1676256. Epub 2019 Oct 10.
- Background: PubMed 34860550Chellappa SL, Qian J, Vujovic N, Morris CJ, Nedeltcheva A, Nguyen H, Rahman N, Heng SW, Kelly L, Kerlin-Monteiro K, Srivastav S, Wang W, Aeschbach D, Czeisler CA, Shea SA, Adler GK, Garaulet M, Scheer FAJL. Daytime eating prevents internal circadian misalignment and glucose intolerance in night work. Sci Adv. 2021 Dec 3;7(49):eabg9910. doi: 10.1126/sciadv.abg9910. Epub 2021 Dec 3.
- Background: PubMed 28877894McHill AW, Phillips AJ, Czeisler CA, Keating L, Yee K, Barger LK, Garaulet M, Scheer FA, Klerman EB. Later circadian timing of food intake is associated with increased body fat. Am J Clin Nutr. 2017 Nov;106(5):1213-1219. doi: 10.3945/ajcn.117.161588. Epub 2017 Sep 6.
- Background: PubMed 26411343Gill S, Panda S. A Smartphone App Reveals Erratic Diurnal Eating Patterns in Humans that Can Be Modulated for Health Benefits. Cell Metab. 2015 Nov 3;22(5):789-98. doi: 10.1016/j.cmet.2015.09.005. Epub 2015 Sep 24.
- Background: PubMed 36771468Yoshitake R, Park I, Ogata H, Omi N. Meal Timing and Sleeping Energy Metabolism. Nutrients. 2023 Feb 2;15(3):763. doi: 10.3390/nu15030763.
- Background: PubMed 35102669Hilditch CJ, Wong LR, Bathurst NG, Feick NH, Pradhan S, Santamaria A, Shattuck NL, Flynn-Evans EE. Rise and shine: The use of polychromatic short-wavelength-enriched light to mitigate sleep inertia at night following awakening from slow-wave sleep. J Sleep Res. 2022 Oct;31(5):e13558. doi: 10.1111/jsr.13558. Epub 2022 Jan 31.
- Background: PubMed 37679265Hilditch CJ, Pradhan S, Costedoat G, Bathurst NG, Glaros Z, Gregory KB, Shattuck NL, Flynn-Evans EE. An at-home evaluation of a light intervention to mitigate sleep inertia symptoms. Sleep Health. 2024 Feb;10(1S):S121-S129. doi: 10.1016/j.sleh.2023.07.015. Epub 2023 Sep 9.
- Background: PubMed 37193286Hilditch CJ, Pradhan S, Costedoat G, Bathurst NG, Glaros Z, Gregory KB, Shattuck NL, Flynn-Evans EE. Sex differences in perceptions of sleep inertia following nighttime awakenings. Sleep Adv. 2022 Dec 14;4(1):zpac043. doi: 10.1093/sleepadvances/zpac043. eCollection 2023.
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- Individual participant dataSharing planned: Undecided
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Caloric restriction and Light exposure in people with Alertness, Fatigue, Mood, and Performance and Calorie Restriction and Light Intervention, run by National Aeronautics and Space Administration (NASA) at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 25 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Erin E Flynn-Evans, PhD, MPH (6502793459, erin.e.flynn-evans@nasa.gov), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Vigilant Attention (time frame: minimum of 18 days, morning, afternoon, evening and top of descent of all flights). The study lists 4 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07761611, which also lists 39 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 25 Aug 2026.