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Trial registered on ANZCTR
Registration number
ACTRN12625000749404
Ethics application status
Approved
Date submitted
30/06/2025
Date registered
15/07/2025
Date last updated
15/07/2025
Date data sharing statement initially provided
15/07/2025
Type of registration
Prospectively registered
Titles & IDs
Public title
Wearable Technology and Fatigue study
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Scientific title
Evaluating the Accuracy of Fine-Tuned Biometric Models using Wearable Technology in Healthy Adults undergoing a Sleep Deprivation Protocol in hot versus cold environments
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Secondary ID [1]
314779
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N00014-24-S-B001
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Universal Trial Number (UTN)
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Trial acronym
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Cognitive Performance
338010
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Metabolic Health
338011
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Physiological Health
338018
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Condition category
Condition code
Mental Health
334324
334324
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0
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Studies of normal psychology, cognitive function and behaviour
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Metabolic and Endocrine
334329
334329
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0
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Normal metabolism and endocrine development and function
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Cardiovascular
334330
334330
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0
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Normal development and function of the cardiovascular system
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
This is a 4-day in-laboratory sleep deprivation protocol. All participants will enter the laboratory at 10:00 on Day 1, and complete training on the cognitive tasks before being given a baseline night sleep of 8 hours before being woken at 7 am on Day 2. All participants will then be kept awake for 40hours, before being given a night-time recovery sleep of 8 hours.
To assess the impact of environment temperature on Military training personnel. one group of participants will experience warmer temperatures (~30C) in the lab while another group will experience cooler temperatures (~18C).
Participants will live in the environmentally controlled Simulation Laboratory (part of the Behaviour-Brain-Body Research Centre at University of South Australia) laboratory for multiple days. To ensure adherence to the protocol participants will be supervised by two research assistants at any given time.
During the sleep deprivation period, participants will complete a number of performance-based assessment tasks including simulated driving and neural behavioural test batteries. During this time, a number of wearable devices will also be fitted to the participants to collect physiological data on heart rate, activity, respiration rate, continuous glucose and temperature.
Devices being used in the study will be the Empatica Embraceplus, Samsung Galaxy watch, and MotionWatch8 which will be worn on participants wrists, Participants will also be fitted with a CORE temperature reader which is worn on the torso, and the FreeStyle Libre 2 . Participants will be wearing the devices at all times except for showering during which the devices will be charging. Device analytics for Empatica, FreeStyle Libre 2 and Samsung devices will provide researchers with relative real time information. Device analytics for MotionWatch8 and CORE temperature will only be obtained once participants have finished testing and researchers download the data.
This is a randomised control trial, participants will be allocated to either warm or cooler temperature at the group level (run) using an online software tool.
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Intervention code [1]
331382
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Lifestyle
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Comparator / control treatment
Cooler temperature will be used as an active control
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Control group
Active
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Outcomes
Primary outcome [1]
341989
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Establish ground truth data set Heart Rate
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Assessment method [1]
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Empatica Embraceplus, Samsung Galaxy watch, and MotionWatch8
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Timepoint [1]
341989
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Continuous across sleep deprivation protocol
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Primary outcome [2]
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Establish ground truth data set Respiration Rate
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Assessment method [2]
341990
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Empatica Embraceplus, Samsung Galaxy watch, and MotionWatch8
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Timepoint [2]
341990
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Continuous throughout Sleep Deprivation
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Primary outcome [3]
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Establish ground truth data set Sleep metrics: Total sleep time, time in light, deep, and REM sleep to be assessed as a composite outcome
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Assessment method [3]
341991
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Sleep metrics collected by the Empatica Embraceplus, Samsung watch and MotionWatch 8 wearable devices and standard polysomnography
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Timepoint [3]
341991
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Baseline and Recovery Sleep
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Secondary outcome [1]
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Temperature
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Assessment method [1]
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Using data from the Empatica Embraceplus device and CORE temperature
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Timepoint [1]
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Continuous throughout Sleep Deprivation
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Secondary outcome [2]
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Interstitial Glucose
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Assessment method [2]
449254
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FreeStyle Libre 2
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Timepoint [2]
449254
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Continuous throughout Sleep Deprivation protocol
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Secondary outcome [3]
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Cognitive functioning
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Assessment method [3]
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Psychomotor Vigilance Task
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Timepoint [3]
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Every 3-hours during sleep deprivation protocol
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Secondary outcome [4]
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Cognitive functioning
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Assessment method [4]
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Automated Neuropsychological Assessment Metrics (ANAM)
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Timepoint [4]
449505
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Every 3-hours during sleep deprivation protocol
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Secondary outcome [5]
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Teaming
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Assessment method [5]
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Desert herding team task
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Timepoint [5]
449506
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Every 3-hours during sleep deprivation protocol
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Secondary outcome [6]
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Cognitive functioning
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Assessment method [6]
449507
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The York Driving simulator task
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Timepoint [6]
449507
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Every 3-hours during sleep deprivation protocol
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Secondary outcome [7]
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Cognitive functioning
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Assessment method [7]
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Multi Attribute Task Battery II (MAT-B II)
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Timepoint [7]
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Every 3-hours during sleep deprivation protocol
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Eligibility
Key inclusion criteria
Participants must be aged 18- 40y, have normal sleep/wake behaviour and meet the Australian physical activity and exercise guidelines (2.5 to 5 hours of moderate intensity physical activity, OR 1.25 to 2.5 hours of vigorous intensity physical activity, OR an equivalent combination of moderate and vigorous activities) to be comparable to the demographics and fitness levels to military personnel
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Minimum age
18
Years
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Maximum age
40
Years
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Sex
Both males and females
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Can healthy volunteers participate?
Yes
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Key exclusion criteria
Wrist or forearm tattoos located in the area where the wearable devices will be worn.
Interstate or overseas travel in the prior 30 days
Habitual nightly sleep amounts 1 time a week
Caffeine use > 400 mg (e.g. 8 caffeinated sodas or approximately 3 to 4 cups of coffee) per day,
History of cardiovascular disease
History of neurologic disorder
Underlying pulmonary disease requiring daily inhaler use
Kidney disease or abnormalities, liver disease or abnormalities,
History of psychiatric disorder requiring hospitalization or psychiatric product for any length of time.
Active-duty military, emergency service, first responders,
Significant depression (>14 on the Beck's Depression Inventory),
Significant traumatic event or mental health issues (self-reported or suspected) that may be triggered by sleep deprivation and/or recovery sleep.
Regular nicotine use (> 1 cigarette or equivalent per week) within the last year,
Self-reported or suspected heavy alcohol use (minimum limit to define heavy alcohol use is 14 drinks per week
Self-reported or suspected current use of other illicit drugs (including but not limited to benzodiazepines, amphetamines, cocaine, marijuana), currently taking corticosteroid or anti-inflammatory medications.
Inability to satisfactorily complete cognitive tasks at training
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Study design
Purpose of the study
Prevention
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Allocation to intervention
Randomised controlled trial
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Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Central randomisation by computer using the online research randomizer tool (https://www.randomizer.org/)
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Simple randomisation using a randomisation table created by computer software tool online at run level (run = 4 participants are enrolled at one time and will all undergo the same condition).
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Masking / blinding
Open (masking not used)
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Who is / are masked / blinded?
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Intervention assignment
Parallel
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Other design features
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Phase
Not Applicable
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Type of endpoint/s
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Statistical methods / analysis
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Recruitment
Recruitment status
Not yet recruiting
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Date of first participant enrolment
Anticipated
30/07/2025
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Actual
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Date of last participant enrolment
Anticipated
17/01/2027
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Actual
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Date of last data collection
Anticipated
31/01/2027
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Actual
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Sample size
Target
52
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Accrual to date
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Final
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Recruitment in Australia
Recruitment state(s)
SA
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Recruitment postcode(s) [1]
44365
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5072 - Magill
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Funding & Sponsors
Funding source category [1]
319334
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Government body
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Name [1]
319334
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Office of Naval Research
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Address [1]
319334
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Country [1]
319334
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United States of America
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Primary sponsor type
University
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Name
University of South Australia
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Address
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Country
Australia
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Secondary sponsor category [1]
321822
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None
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Name [1]
321822
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Address [1]
321822
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Country [1]
321822
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Other collaborator category [1]
283581
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Commercial sector/Industry
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Name [1]
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FortifyEdge
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Address [1]
283581
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Country [1]
283581
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Australia
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
317916
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University of South Australia Human Research Ethics Committee
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Ethics committee address [1]
317916
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https://i.unisa.edu.au/staff/research/research-ethics/human-research-ethics/
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Ethics committee country [1]
317916
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Australia
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Date submitted for ethics approval [1]
317916
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21/05/2024
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Approval date [1]
317916
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16/07/2024
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Ethics approval number [1]
317916
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206347
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Summary
Brief summary
Sophisticated wearable sensors now exist that can collect an almost continuous stream of physiological data. These sensors have evolved from simple fitness tracking devices to multifunctional, compact, and versatile sensors, which can be integrated into clothing or attached to the body to monitor our physiology & interact and communicate. While the sensors have rapidly evolved & become highly sophisticated in recent years, there remains many issues with the algorithms used to analyse the sensor data. They are imprecise, often inaccurate & frequently misinterpret data, incorrectly labelling movements as ‘steps’ or reading a book as ‘sleep’. This incongruity creates a reluctance to use & rely on these wearable sensors, even though their potential to provide increased awareness about physiological and mental state is tremendous. The standard software also frequently relies on averaged and aggregated data for any predictions about state, rather than tailored to the individual. If wearables are to be used in a variety of complex, austere environments (those where access to resources is significantly limited or unavailable) personnel must be able to trust not only the sensors to measure signals accurately but also the algorithms & software to analyse & interpret the data correctly. There is a need for more accurate, sophisticated algorithms to take advantage of the next generation sensors on the market and a more personalised, individual approach is needed to build trust and increase acceptance. Using deep expertise in understanding individual performance dynamics over time, under different environments and conditions to refine novel algorithms.
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Trial website
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
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Prof Siobhan Banks
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Address
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Sleep and Chronobiology Laboratory University of South Australia St Bernards Road Magill Campus Magill SA 5072
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Country
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Australia
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Phone
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+61 08 83021712
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Fax
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Email
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[email protected]
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Contact person for public queries
Name
142543
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Siobhan Banks
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Address
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Sleep and Chronobiology Laboratory University of South Australia St Bernards Road Magill Campus Magill SA 5072
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Country
142543
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Australia
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Phone
142543
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+61 08 83021712
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Fax
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Email
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[email protected]
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Contact person for scientific queries
Name
142544
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Siobhan Banks
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Address
142544
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Sleep and Chronobiology Laboratory University of South Australia St Bernards Road Magill Campus Magill SA 5072
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Country
142544
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Australia
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Phone
142544
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+61 08 83021712
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Fax
142544
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Email
142544
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[email protected]
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Data sharing statement
Will the study consider sharing individual participant data?
No
What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
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