The Detection of Heat Stress by Assessing Individual Body Responses to Heat (Heat Strain) in Young and Healthy Non-athlete Participants (HEATSTAR)
HEAT Stress Detection From Personally STandARdized Heat Strain Measurements - The HEATSTAR Pilot Trial
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Noé Brasier, MD
- Phone Number: +41797025837
- Email: nbrasier@ethz.ch
Study Locations
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Andere (Nicht USA-Länder)
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Zurich, Andere (Nicht USA-Länder), Switzerland, 8093
- ETH Zurich
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Healthy participant, able to give consent
- Age 18-40 years
- Non-athlete (<4h sport/week)
- BMI<30 (non-obese)
- German speaking, or fluent in German
Exclusion Criteria:
- Pregnancy (urine pregnancy test), and breastfeeding
- Regular medication intake (excluding birth control pill)
- Intake of drugs and/or daily alcohol consumption
- Fever or symptoms of an acute infection (cough, shortness of breath, sore throat, taste loss)
- Active smoking or history of smoking <9 months ago
- Mobility impairment
- Traveled (<1 month ago) to a warm/hot temperature zone and stayed for >6 days
- Any chronic conditions such as: high blood pressure, diabetes mellitus, immuno-deficiencies, sweat disorders such as anhidrosis
- Color blindness (STROOP test)
- Weight <40 kg (e-Celsius pill)
- Diverticulum or obstructions of the gastrointestinal tract (including motility disorders, swallowing disorders) as well as major abdominal surgery (e-Celsius pill)
- Need of exposure to strong electromagnetic fields during study participation, above all MRI examinations (e-Celsius pill)
Study Plan
How is the study designed?
Design Details
- Observational Models: Other
- Time Perspectives: Cross-Sectional
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Healthy participants
Age of the participants is between 18-40 years, females and males equally distributed
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Temporary exposure to increased ambient temperature +10°C (the effect of the intervention is fully and spontaneously reversible)
Temporary exposure to increased ambient relative humidity +40% (max.
90%) (the effect of the intervention is fully and spontaneously reversible)
Temporary exertion on an ergometer (1W/kg body weight) (the effect of the intervention is fully and spontaneously reversible)
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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The within and between subject heat strain marker variability in relation to specific heat stress sources (ambient heat, ambient humidity, exertion, and clothing)
Time Frame: Max. 7 days
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The primary endpoint is the within- and between- subject heat strain marker variability of HR, CBT, WSR, and LSR in relation to various heat stress sources (increased ambient temperature, increased relative humidity, and exertion, all without and with additional clothing.
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Max. 7 days
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Accuracy to detect the specific heat stress source (such as ambient heat, relative humidity) from different on- and in-body measurements
Time Frame: Max. 7 days
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The models for the primary endpoints will be extended to explore the relationships between heat strain parameters, heat stress sources, as well as personal characteristics.
Additionally, prediction of heat stress source will be explored.
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Max. 7 days
|
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Assessment of short-term heart rate variability in context to each heat stressor.
Time Frame: Max. 7 days
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Short-term HRV with a repeating time frame of 5min.
Root mean square of successive RR interval (RMSSD; in [ms]) and the Standard-deviation of RR intervals (SDRR; in [ms]) will be computed with respect to each heat stress source.
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Max. 7 days
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Temperature [°C] and relative humidity [%] of the microenvironment as an additional source of information for patterns to detect heat stressors
Time Frame: Max. 7 days
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Features of temperature [°C] and relative humidity [%] of the microenvironment as additional model predictors.
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Max. 7 days
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Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The relation between cognitive assessment and skin temperature
Time Frame: Max. 7 days
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Correlation between subjective heat comfort (Visual Analog Scale, where +1 is comfortable and +4 is very uncomfortable) and baseline differential stress inventory (causes of stress, symptoms of stress, coping, stress stabilization) in relation to skin temperature [°C]
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Max. 7 days
|
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The relation between STROOP assessment and different heat stressors
Time Frame: Max. 7 days
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Correlation between changes in the STROOP assessment outcome (number of errors and time of decision [ms], between beginning and end of heat stress exposure) in context to the various heat stress sources, skin temperature, and thermal comfort.
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Max. 7 days
|
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Novel Sweat Biomarkers for heat stress detection
Time Frame: Max. 7 days
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Descriptive statistics for novel non-invasive biomarkers from sweat analysis with respect to heat stress source, including between- and within-subject variability
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Max. 7 days
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Recording heat strain parameters with an all-for-one device
Time Frame: Max. 7 days
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The 'reliability' (missing data per minute ([%]) and the 'accuracy' (HR [bpm] with 95% confidence intervals), CBT (in [°C] with 95% confidence intervals), and local sweat rate measurements (in [g/h] with 95% confidence intervals) of the wearable device in recording vital parameters.
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Max. 7 days
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Publications and helpful links
General Publications
- Watts N, Amann M, Ayeb-Karlsson S, Belesova K, Bouley T, Boykoff M, Byass P, Cai W, Campbell-Lendrum D, Chambers J, Cox PM, Daly M, Dasandi N, Davies M, Depledge M, Depoux A, Dominguez-Salas P, Drummond P, Ekins P, Flahault A, Frumkin H, Georgeson L, Ghanei M, Grace D, Graham H, Grojsman R, Haines A, Hamilton I, Hartinger S, Johnson A, Kelman I, Kiesewetter G, Kniveton D, Liang L, Lott M, Lowe R, Mace G, Odhiambo Sewe M, Maslin M, Mikhaylov S, Milner J, Latifi AM, Moradi-Lakeh M, Morrissey K, Murray K, Neville T, Nilsson M, Oreszczyn T, Owfi F, Pencheon D, Pye S, Rabbaniha M, Robinson E, Rocklov J, Schutte S, Shumake-Guillemot J, Steinbach R, Tabatabaei M, Wheeler N, Wilkinson P, Gong P, Montgomery H, Costello A. The Lancet Countdown on health and climate change: from 25 years of inaction to a global transformation for public health. Lancet. 2018 Feb 10;391(10120):581-630. doi: 10.1016/S0140-6736(17)32464-9. Epub 2017 Oct 30. No abstract available. Erratum In: Lancet. 2017 Nov 23;: Lancet. 2020 Jun 6;395(10239):1762.
- Varghese BM, Hansen A, Bi P, Pisaniello D. Are workers at risk of occupational injuries due to heat exposure? A comprehensive literature review. Safety Science. 2018;110:380-92.
- Davey SL, Downie V, Griggs K, Havenith G. The physiological strain index does not reliably identify individuals at risk of reaching a thermal tolerance limit. Eur J Appl Physiol. 2021 Jun;121(6):1701-1713. doi: 10.1007/s00421-021-04642-3. Epub 2021 Mar 7.
- Nunes MJ, Cordas CM, Moura JJG, Noronha JP, Branco LC. Screening of Potential Stress Biomarkers in Sweat Associated with Sports Training. Sports Med Open. 2021 Jan 22;7(1):8. doi: 10.1186/s40798-020-00294-3.
- Flores M, Glusman G, Brogaard K, Price ND, Hood L. P4 medicine: how systems medicine will transform the healthcare sector and society. Per Med. 2013;10(6):565-576. doi: 10.2217/pme.13.57.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- EKNZ ID: 2022 - 01325
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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