AgingHW1NCT04353076
Physiological Responses in Young and Older Adults During a Prolonged Simulated Heatwave
A study testing Simulated heatwave exposure and Simulated heatwave exposure with mid-day cooling in people with Aging and Heat Stress, run by University of Ottawa at 1 site in Canada.
Trial summary
Climate change not only affects the planet's natural resources, but also severely impacts human health. An individual's ability to adequately cope with short- or long-term increases in ambient temperature is critical for maintaining health and wellbeing. Read more about this study
- Who is it for?
- Ages 18 to 80 yearsHealthy volunteers can take part
- Conditions the study is for
- Aging, Heat Stress, Physiological Stress
- What is being tested?
- Simulated heatwave exposure and Simulated heatwave exposure with mid-day cooling
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 60 participants
- Where
- 1 siteCanada
- Study dates
- 1 Jan 2019to 2 Apr 2021
- Phase
- Interventional
- Are there results?
- None posted in the registry
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 to 80 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- male or female (non-pregnant) adults with or without a) chronic hypertension (elevated resting blood pressure; as defined by Heart and Stroke Canada and Hypertension Canada), b) type 2 diabetes as defined by Diabetes Canada, with at least 5 years having elapsed since time of diagnosis and or c) obesity as defined by the World Health Organization (Body Mass Index [BMI] greater than or equal to 30).
- non-smoking.
Who cannot join
- Episode(s) of severe hypoglycemia (requiring the assistance of another person) within the previous year, or inability to sense hypoglycemia (hypoglycemia unawareness).
- Serious complications related to your diabetes (gastroparesis, renal disease, uncontrolled hypertension, severe autonomic neuropathy).
- Uncontrolled hypertension - BP >150 mmHg systolic or >95 mmHg diastolic in a sitting position.
- Restrictions in physical activity due to disease (e.g. intermittent claudication, renal impairment, active proliferative retinopathy, unstable cardiac or pulmonary disease, disabling stroke, severe arthritis, etc.).
- Use of or changes in medication judged by the patient or investigators to make participation in this study inadvisable.
- Cardiac abnormalities identified in your physical health screening form (adults <65 years of age and older; adults <60 years of age and older with diabetes and or hypertension) or during exercise stress testing as assessed by 12-lead (all adults ≥65 years of age and older).
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Understanding and Managing the Limits of Physiological Tolerance in Heat Vulnerable Canadians During Rest and Physical Exercise
Climate change not only affects the planet's natural resources, but also severely impacts human health. An individual's ability to adequately cope with short- or long-term increases in ambient temperature is critical for maintaining health and wellbeing. Prolonged increases in temperature (heatwaves) pose a serious health risk for older adults, who have a reduced capacity to efficiently regulate body temperature. However, information regarding the impact of age on body temperature regulation during prolonged exposure to extreme heat is lacking, as is research on the effectiveness of interventions aimed at reducing heat strain in such situations. This project will address these important knowledge gaps by exposing healthy young and older adults to a prolonged (9 hour) heat exposure, with conditions representative of heatwaves in temperate continental climates. An additional cohort of older adults will complete the same heatwave simulation but will be briefly (2 hours) exposed to cooler conditions (22-23°C) mid-way through the session (akin to visiting a cooling centre or cooled location). The investigators will evaluate age-related differences in the capacity to dissipate heat via direct air calorimetry (a unique device that permits the precise measurement of the heat dissipated by the human body) and their effect on the regulation of body temperature. The investigators anticipate that older adults will exhibit progressive increases in the heat stored in the body throughout the simulated heatwave, resulting in progressive increases in body core temperature. Further, older adults exposed to brief-mid day cooling will rapidly gain heat upon re-exposure to high ambient temperatures. As a result, by the end of exposure body temperatures will be similar to the group not removed from the heat.
Read the detailed description
OBJECTIVES Intervention 1: Evaluate the effect of age on whole-body heat storage, body core temperature, and the development of cardiovascular strain and acute inflammation during day-long (9 hours) exposure to simulated heatwave conditions.
Intervention 2: Determine whether short-duration exposure (2 hours) to an air-conditioned environment following extreme heat exposure results in lasting reductions in physiological strain in older adults upon return to the heat.
Hypotheses Intervention 1: Older adults will experience greater heat storage throughout the 9-hour simulated heatwave compared to the younger participants. Consequently, body core temperature will be greater in the older adults and between-group differences will be exacerbated as exposure progresses. We will also explore the secondary hypothesis that differences in body temperature will be paralleled by greater alterations in cardiovascular variables and acute circulatory and intracellular inflammation in the older adults.
Intervention 2: Body heat storage will be exacerbated in the older adults exposed to the cooling centre intervention upon return to the heat (hours 5-6) compared to the older adults from Intervention 1 who remained in the heat. Consequently, body core temperature will be comparable (statistically equivalent) between groups by the end of exposure.
Methods Participants A total of 20 young (age: 18-31 years) and 40 older (age: 64-80 years) adults will be recruited for the proposed project, with an approximately even distribution of men and women in each intervention arm. Young (n = 20) and older (n = 20) adults will complete Intervention 1 and a separate cohort of older adults (n = 20) will complete Intervention 2. Participants will be homogenous for anthropomorphic characteristics as well as habitual physical activity levels as verified via standardized questionnaires.
Experimental Design Pre-trial instructions All participants will be asked to avoid strenuous physical activity and alcohol for 24 hours prior to all preliminary and experimental sessions and to eat a light meal 2 hours before the start of each session. Participants will also be asked to consume a minimum of 500 ml of water the night before and morning of each session to ensure adequate hydration. Adequate hydration will be verified upon arrival to the laboratory (urine specific gravity <1.025). For all sessions, participants will wear athletic shorts (and a sport top for women).
Preliminary screening All participants will complete one preliminary evaluation a minimum of 7 days before the first experimental session. During this session they will be familiarized with all procedures and measurement techniques and will complete the Get Active Questionnaire (GAQ) and the American Heart Association Pre-participation screening Questionnaire to assess their eligibility to participate. The GAQ will also be used to assess habitual activity levels along with the Kohl Physical Activity Questionnaire. Participants will also provide verbal and written informed consent at this time. Body height and mass will be determined via a physician stadiometer and a high-performance weighing terminal, respectively, and from these measurements body surface area will be calculated.
Experimental Protocol (Intervention 1) Each session will commence at 07:00-09:00. Upon arrival to the laboratory, the participant will provide a urine sample for the assessment of urine specific gravity, after which a measurement of nude body mass will be obtained. Participants will then insert a temperature probe for the continuous measurement of rectal temperature. Thereafter, participants will be instrumented for the measurement of skin temperature and 5-lead echocardiogram. Baseline cardiovascular parameters will be evaluated via a brief (~45 min) cardiovascular test battery, performed as follows. Brachial arterial systolic and diastolic pressures reconstructed from arterial pressure waveforms measured at the right middle finger (volume clamp technique) and 5-lead echocardiogram recordings will be collected for 10-min while the participant rests quietly (spontaneous breathing). Immediately thereafter, arterial systolic and diastolic pressures will be measured in triplicate via manual auscultation (~30 sec between measures), after which forearm and calf blood flows on the right side of the body will be measured via automated venous occlusion plethysmography. Throughout the test battery, the participant will be seated with both feet on the floor, except for during the measurements of limb blood flow, where the instrumented limbs will be elevated to facilitate venous drainage. Finally, a venous blood sample and body mass measurement will be obtained.
Participants will then be transferred to the whole-body direct calorimeter chamber, regulated to 40°C and ~10-15% humidity. These conditions were chosen to simulate peak temperatures experienced during heatwaves and are similar to peak conditions in recent heatwaves in North America in 2018 (Ottawa, Ontario; 34°C and 58%, heat index: 41°C) and Europe in 2003 (Paris, France; 38°C and 25%, heat index: 38°C). The participant will rest quietly for 3-hours (hours 1-3) within the calorimeter chamber while whole-body heat production and exchange are measured continuously. At the 3-hour mark, the participant will exit the calorimeter and the brief cardiovascular test battery will be performed again followed by a measurement of body mass. Hours 4-6 will be spent resting in the heat in the thermal chamber adjacent to the calorimeter. During this time, participants will be allowed to consume a light, self-provided lunch with low water content. Tap water will be provided ad libitum via a self-service insulated water cooler located in the thermal chamber. Another cardiovascular battery will then be performed followed by a measurement of body mass. The participant will then re-enter the calorimeter where the final 3 hours will be spent (hours 6-9). At the end of this period, the participants will undergo a fourth and final cardiovascular test battery and a final venous blood sample and body mass measurement will be procured.
Statistical analysis and sample size calculations Primary and secondary variables will be evaluated using linear mixed-effects models. Time will be modelled as a repeated within-subject fixed effect, and age-group will be modelled as a between-subject fixed effect. Pre-heat exposure values of the outcome variable, participant sex, and self-reported weekly physical activity (min/week, as assessed via the GAQ) will be included as covariates. Participant identification will be modeled as a random effect in all analyses. Akaike's information criterion will be used to determine random effect and variance/covariance structures.
Post hoc multiple comparisons will be made on model estimated marginal means. Given the small number of comparisons for each variable, multiplicity corrections will not be employed. Homoscedasticity will be evaluated for all models by visual assessment of residual plots. Approximate normal distribution of residuals will be assessed via visual inspection of histograms and Q-Q plots. Data will be log-transformed in the event that the distribution of residuals meaningfully deviates from normality. For all analyses, alpha will be set at 0.050. Descriptive statistics will be presented as means and standard deviations. Comparisons between groups and/or time-points will be presented as means and 95% confidence intervals [lower limit, upper limit].
An a priori power analysis determined that a total sample size of 19 young and 19 older adults was required to detect a difference in the rate of whole-body heat storage between groups at the end of each calorimeter session (i.e., hours 3 and 9) with 80% statistical power. In lieu of clinically meaningful data (i.e., what would be considered a clinically meaningful change in whole-body heat storage), the standardized effect size (Cohen's d=1.06) was calculated based on the difference in the rate of whole-body heat storage between young and older adults over the final 30-min of a 3-hour heat exposure protocol (young: -2 [26] kJ/hour, older: 43 [54] kJ/hour) in our previous work.
Experimental Protocol (Intervention 2) Experimental design The protocol for Intervention 2 is identical to that of Intervention 1 except that after the first calorimeter session and subsequent cardiovascular battery, participants will exit the thermal chamber and spend ~2 hours (hours 5-6) resting in an air-conditioned room (~23°C, ~50% relative humidity). Similar to Intervention 1, participants will be allowed to eat a small self-provided lunch during this time and consume water (tap) ad libitum. The third cardiovascular battery will also be performed in the cooled environment. As in Intervention 1, participants will then re-enter the calorimeter for the final 3 hours, where they will rest in the heat for the remainder of the experimental session.
Statistical analysis and sample size calculations Statistical analysis for Intervention 2 will be performed to assess whether mid-day exposure to a cooled room results in greater body heat storage following exposure such that physiological responses are similar to those of the non-cooled group by the end of the 9-hour heatwave simulation. Cumulative whole-body heat storage will be evaluated using a linear mixed-effects model with experimental group modelled as a between-subject fixed effect. Cumulative heat storage over the first three hours of the 9-hour exposure will be included as a covariate to account for the influence of any inter- or intra-individual factors (e.g., sex, physical activity levels), measured or unmeasured, impacting whole-body heat exchange and storage. Comparisons of heat storage between groups will be made using model estimated marginal means.
Body core temperature, as estimated by rectal temperature (primary outcome), will be analyzed with a linear mixed effects model with experimental group (two levels: cooling and no-cooling) modelled as a between-subject fixed effect and time as a repeated within-subject fixed effect (0-, 1-, 2-, and 3-hours post-cooling intervention). Like the model for heat storage, rectal temperature at the end of the first calorimetry session (i.e., hour 3 of the 9-hour exposure) will be included as a covariate to account for the influence of any measured or unmeasured inter- or intra-individual factors impacting the body temperature responses to resting heat exposure.
The effect of cooling on rectal temperature will then be assessed via two one-sided tests performed on the mixed-effects model derived estimated marginal means at each timepoint. Equivalence bounds will be set to ±0.3°C, which corresponds to the typical day-to-day variation of core temperature and has been suggested to reflect a meaningful/detectable change in body temperatures in a recent study assessing the influence of cooling strategies on physiological strain in young adults. Secondary variables will be similarly evaluated. The level of significance will be set at P < 0.050. Descriptive statistics will be presented as mean (standard deviation) and comparisons between groups will be presented as mean ± 95% confidence interval.
An a priori power analysis determined that a total sample size of 18 older adults in each group (36 participants total) is required to confirm whether between-group differences in rectal temperature are equivalent within upper and lower bounds of +0.3°C and -0.3°C, respectively, with 80% power. This corresponds to an effect size (Cohen's d) of 1.0, based on the pooled-standard deviation of 0.3°C, determined from published data from our laboratory demonstrating a 0.2°C (SD 0.3) difference in core temperature between young and older adults and a 0.0°C (SD 0.3) difference in core temperature between older adults with and without type 2 diabetes following 3 hours of rest in a hot environment.
- Conditions
- Aging, Heat Stress, Physiological Stress
- Being tested
- Simulated heatwave exposure, Simulated heatwave exposure with mid-day cooling
- Keywords
- Heatwave, Heat-vulnerability, Cooling center, Heat strain, Cardiovascular responses
- Medical subject headings
- Heat Stress Disorders
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Simulated heatwave exposureOther
Young and older adults (no cooling) are exposed to a 9-hour simulated exposure.
Simulated heatwave exposure with mid-day coolingOther
Older adults (cooling) are exposed to a 9-hour simulated exposure with mid-day ambient cooling.
| Study group | Role | What they receive |
|---|---|---|
| Young adults | Experimental | Young adults exposed to a 9-hour simulated heatwave (40°C, 15% relative humidity) Receives: Other: Simulated heatwave exposure |
| Older adults (no cooling) | Experimental | Older adults exposed to a 9-hour simulated heatwave (40°C, 15% relative humidity) Receives: Other: Simulated heatwave exposure |
| Older adults (cooling) | Experimental | Older adults exposed to a 9-hour simulated heatwave (40°C, 15% relative humidity) with ambient cooling intervention (i.e., exposure to an air-conditioned room) for hours 5-6. Receives: Other: Simulated heatwave exposure with mid-day cooling |
What is being measured
The primary outcome is the main question the study is designed to answer.
Body heat storage
Cumulative amount of heat stored within the body
Measured: First 3 hours (hours 1-3) of simulated heatwave
Body heat storage
Cumulative amount of heat stored within the body
Measured: Final 3 hours (hours 7-9) of simulated heatwave
Rectal temperature
Index of core body temperature
Measured: Hour 3 of simulated heatwave
Rectal temperature
Index of core body temperature
Measured: Hour 9 of simulated heatwave
Secondary outcomes (19)
Heart rate
Measured continuously throughout exposure
Measured: Hour 3 of simulated heatwave
Heart rate
Measured continuously throughout exposure
Measured: Hour 9 of simulated heatwave
Systolic blood pressure
Arterial blood pressures measured via manual auscultation
Measured: Hour 3 of simulated heatwave
Systolic blood pressure
Arterial blood pressures measured via manual auscultation
Measured: Hour 9 of simulated heatwave
Diastolic blood pressure
Arterial blood pressures measured via manual auscultation
Measured: Hour 3 of simulated heatwave
Diastolic blood pressure
Arterial blood pressures measured via manual auscultation
Measured: Hour 9 of simulated heatwave
Mean arterial pressure
calculated as 1/3 * systolic blood pressure + 2/3 diastolic blood pressure
Measured: Hour 3 of simulated heatwave
Mean arterial pressure
calculated as 1/3 * systolic blood pressure + 2/3 diastolic blood pressure
Measured: Hour 9 of simulated heatwave
Rate pressure product
Calculated as systolic blood pressure * heart rate
Measured: Hour 3 of simulated heatwave
Rate pressure product
Calculated as systolic blood pressure * heart rate
Measured: Hour 9 of simulated heatwave
Cardiac baroreflex sensitivity
Determined from beat-to-beat arterial pressures and heart rate (volume-clamp technique)
Measured: Hour 3 of simulated heatwave
Cardiac baroreflex sensitivity
Determined from beat-to-beat arterial pressures and heart rate (volume-clamp technique)
Measured: Hour 9 of simulated heatwave
Change in plasma volume
Determined from venous blood samples
Measured: Hour 9 of simulated heatwave
Heart rate variability: SDNN
Standard deviation of successive normal R-R intervals
Measured: Hour 3 of simulated heatwave
Heart rate variability: SDNN
Standard deviation of successive normal R-R intervals
Measured: Hour 9 of simulated heatwave
Heart rate variability: RMSSD
Root mean squared standard deviation of successive normal R-R intervals
Measured: Hour 3 of simulated heatwave
Heart rate variability: RMSSD
Root mean squared standard deviation of successive normal R-R intervals
Measured: Hour 9 of simulated heatwave
Circulating inflammatory and stress markers
Tumor necrosis factor alpha, Interleukin 6, C-reactive protein
Measured: Hour 9 of simulated heatwave
Intracellular inflammatory and stress markers
Tumor necrosis factor alpha, Interleukin 6, Heat shock proteins 70 and 90
Measured: Hour 9 of simulated heatwave
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted20 Apr 2020
- Study start1 Jan 2019
- Primary completion2 Apr 2021
- Study completion2 Apr 2021
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (4)Papers the sponsor has linked to this study.
- Other trials for AgingStudies 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
- Basic science
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 60 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Ottawa
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Glen P. Kenny, University of Ottawa
- Investigators
- Glen P Kenny, PhD, Principal investigator, University of OttawaRonald J Sigal, MD, MPH, Principal investigator, University of Calgary
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04353076
- Sponsor's protocol ID
- H 05-16-07
- Acronym
- HW1
- Status last verified
- Aug 2021
- First submitted
- 13 Apr 2020
- Last updated
- 18 Aug 2021
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Garrett J, McCormick J, King K, O'Connor F, Meade R, Kenny G. Effect of cooling centres on BDNF and HSP70 responses during a simulated heatwave exposure in older adults. Appl Physiol Nutr Metab. 2026 Jan 1;51:1-11. doi: 10.1139/apnm-2025-0443.
PubMed 42091206Journeay WS, McCormick JJ, King KE, Garrett JM, O'Connor FK, Hutchins KP, Meade RD, Kenny GP. Serum endothelial monocyte-activating polypeptide-II response after 9 h of passive heat exposure: influence of age, diabetes, or hypertension. Am J Physiol Regul Integr Comp Physiol. 2026 Feb 1;330(2):R119-R125. doi: 10.1152/ajpregu.00307.2025. Epub 2026 Jan 9.
PubMed 41512819Garrett JM, McCormick JJ, King KE, Meade RD, Boulay P, Sigal RJ, O'Connor FK, Kenny GP. Irisin and betatrophin responses to 9 h of passive heat exposure: Influence of age, hypertension, and type 2 diabetes. Physiol Rep. 2025 Jun;13(12):e70411. doi: 10.14814/phy2.70411.
PubMed 40554659Lee B, Meade R, Davey S, Thake C, McCormick J, King K, Kenny GP. Effect of brief ambient cooling on serum stress biomarkers in older adults during a daylong heat exposure: a laboratory-based heat wave simulation. Appl Physiol Nutr Metab. 2025 Jan 1;50:1-8. doi: 10.1139/apnm-2024-0476.
PubMed 40036754
Study at a glance
From the registry record, last updated by the sponsor on 18 Aug 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Understanding and Managing the Limits of Physiological Tolerance in Heat Vulnerable Canadians During Rest and Physical Exercise
- ClinicalTrials.gov ID
- NCT04353076
- Acronym / sponsor ID
- HW1 / H 05-16-07
- Conditions
- Aging, Heat Stress, Physiological Stress
- Keywords
- Heatwave, Heat-vulnerability, Cooling center, Heat strain, Cardiovascular responses
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 60 participants (actual)
- Lead sponsor
- University of OttawaUniversity, hospital or other
- Study start
- 1 Jan 2019 (actual)
- Primary completion
- 2 Apr 2021 (actual)
- Study completion
- 2 Apr 2021 (actual)
- First posted
- 20 Apr 2020 (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.
Climate change not only affects the planet's natural resources, but also severely impacts human health. An individual's ability to adequately cope with short- or long-term increases in ambient temperature is critical for maintaining health and wellbeing. Prolonged increases in temperature (heatwaves) pose a serious health risk for older adults, who have a reduced capacity to efficiently regulate body temperature. However, information regarding the impact of age on body temperature regulation during prolonged exposure to extreme heat is lacking, as is research on the effectiveness of interventions aimed at reducing heat strain in such situations. This project will address these important knowledge gaps by exposing healthy young and older adults to a prolonged (9 hour) heat exposure, with conditions representative of heatwaves in temperate continental climates. An additional cohort of older adults will complete the same heatwave simulation but will be briefly (2 hours) exposed to cooler conditions (22-23°C) mid-way through the session (akin to visiting a cooling centre or cooled location). The investigators will evaluate age-related differences in the capacity to dissipate heat via direct air calorimetry (a unique device that permits the precise measurement of the heat dissipated by the human body) and their effect on the regulation of body temperature. The investigators anticipate that older adults will exhibit progressive increases in the heat stored in the body throughout the simulated heatwave, resulting in progressive increases in body core temperature. Further, older adults exposed to brief-mid day cooling will rapidly gain heat upon re-exposure to high ambient temperatures. As a result, by the end of exposure body temperatures will be similar to the group not removed from the heat.
Detailed description
OBJECTIVES Intervention 1: Evaluate the effect of age on whole-body heat storage, body core temperature, and the development of cardiovascular strain and acute inflammation during day-long (9 hours) exposure to simulated heatwave conditions.
Intervention 2: Determine whether short-duration exposure (2 hours) to an air-conditioned environment following extreme heat exposure results in lasting reductions in physiological strain in older adults upon return to the heat.
Hypotheses Intervention 1: Older adults will experience greater heat storage throughout the 9-hour simulated heatwave compared to the younger participants. Consequently, body core temperature will be greater in the older adults and between-group differences will be exacerbated as exposure progresses. We will also explore the secondary hypothesis that differences in body temperature will be paralleled by greater alterations in cardiovascular variables and acute circulatory and intracellular inflammation in the older adults.
Intervention 2: Body heat storage will be exacerbated in the older adults exposed to the cooling centre intervention upon return to the heat (hours 5-6) compared to the older adults from Intervention 1 who remained in the heat. Consequently, body core temperature will be comparable (statistically equivalent) between groups by the end of exposure.
Methods Participants A total of 20 young (age: 18-31 years) and 40 older (age: 64-80 years) adults will be recruited for the proposed project, with an approximately even distribution of men and women in each intervention arm. Young (n = 20) and older (n = 20) adults will complete Intervention 1 and a separate cohort of older adults (n = 20) will complete Intervention 2. Participants will be homogenous for anthropomorphic characteristics as well as habitual physical activity levels as verified via standardized questionnaires.
Experimental Design Pre-trial instructions All participants will be asked to avoid strenuous physical activity and alcohol for 24 hours prior to all preliminary and experimental sessions and to eat a light meal 2 hours before the start of each session. Participants will also be asked to consume a minimum of 500 ml of water the night before and morning of each session to ensure adequate hydration. Adequate hydration will be verified upon arrival to the laboratory (urine specific gravity <1.025). For all sessions, participants will wear athletic shorts (and a sport top for women).
Preliminary screening All participants will complete one preliminary evaluation a minimum of 7 days before the first experimental session. During this session they will be familiarized with all procedures and measurement techniques and will complete the Get Active Questionnaire (GAQ) and the American Heart Association Pre-participation screening Questionnaire to assess their eligibility to participate. The GAQ will also be used to assess habitual activity levels along with the Kohl Physical Activity Questionnaire. Participants will also provide verbal and written informed consent at this time. Body height and mass will be determined via a physician stadiometer and a high-performance weighing terminal, respectively, and from these measurements body surface area will be calculated.
Experimental Protocol (Intervention 1) Each session will commence at 07:00-09:00. Upon arrival to the laboratory, the participant will provide a urine sample for the assessment of urine specific gravity, after which a measurement of nude body mass will be obtained. Participants will then insert a temperature probe for the continuous measurement of rectal temperature. Thereafter, participants will be instrumented for the measurement of skin temperature and 5-lead echocardiogram. Baseline cardiovascular parameters will be evaluated via a brief (~45 min) cardiovascular test battery, performed as follows. Brachial arterial systolic and diastolic pressures reconstructed from arterial pressure waveforms measured at the right middle finger (volume clamp technique) and 5-lead echocardiogram recordings will be collected for 10-min while the participant rests quietly (spontaneous breathing). Immediately thereafter, arterial systolic and diastolic pressures will be measured in triplicate via manual auscultation (~30 sec between measures), after which forearm and calf blood flows on the right side of the body will be measured via automated venous occlusion plethysmography. Throughout the test battery, the participant will be seated with both feet on the floor, except for during the measurements of limb blood flow, where the instrumented limbs will be elevated to facilitate venous drainage. Finally, a venous blood sample and body mass measurement will be obtained.
Participants will then be transferred to the whole-body direct calorimeter chamber, regulated to 40°C and ~10-15% humidity. These conditions were chosen to simulate peak temperatures experienced during heatwaves and are similar to peak conditions in recent heatwaves in North America in 2018 (Ottawa, Ontario; 34°C and 58%, heat index: 41°C) and Europe in 2003 (Paris, France; 38°C and 25%, heat index: 38°C). The participant will rest quietly for 3-hours (hours 1-3) within the calorimeter chamber while whole-body heat production and exchange are measured continuously. At the 3-hour mark, the participant will exit the calorimeter and the brief cardiovascular test battery will be performed again followed by a measurement of body mass. Hours 4-6 will be spent resting in the heat in the thermal chamber adjacent to the calorimeter. During this time, participants will be allowed to consume a light, self-provided lunch with low water content. Tap water will be provided ad libitum via a self-service insulated water cooler located in the thermal chamber. Another cardiovascular battery will then be performed followed by a measurement of body mass. The participant will then re-enter the calorimeter where the final 3 hours will be spent (hours 6-9). At the end of this period, the participants will undergo a fourth and final cardiovascular test battery and a final venous blood sample and body mass measurement will be procured.
Statistical analysis and sample size calculations Primary and secondary variables will be evaluated using linear mixed-effects models. Time will be modelled as a repeated within-subject fixed effect, and age-group will be modelled as a between-subject fixed effect. Pre-heat exposure values of the outcome variable, participant sex, and self-reported weekly physical activity (min/week, as assessed via the GAQ) will be included as covariates. Participant identification will be modeled as a random effect in all analyses. Akaike's information criterion will be used to determine random effect and variance/covariance structures.
Post hoc multiple comparisons will be made on model estimated marginal means. Given the small number of comparisons for each variable, multiplicity corrections will not be employed. Homoscedasticity will be evaluated for all models by visual assessment of residual plots. Approximate normal distribution of residuals will be assessed via visual inspection of histograms and Q-Q plots. Data will be log-transformed in the event that the distribution of residuals meaningfully deviates from normality. For all analyses, alpha will be set at 0.050. Descriptive statistics will be presented as means and standard deviations. Comparisons between groups and/or time-points will be presented as means and 95% confidence intervals [lower limit, upper limit].
An a priori power analysis determined that a total sample size of 19 young and 19 older adults was required to detect a difference in the rate of whole-body heat storage between groups at the end of each calorimeter session (i.e., hours 3 and 9) with 80% statistical power. In lieu of clinically meaningful data (i.e., what would be considered a clinically meaningful change in whole-body heat storage), the standardized effect size (Cohen's d=1.06) was calculated based on the difference in the rate of whole-body heat storage between young and older adults over the final 30-min of a 3-hour heat exposure protocol (young: -2 [26] kJ/hour, older: 43 [54] kJ/hour) in our previous work.
Experimental Protocol (Intervention 2) Experimental design The protocol for Intervention 2 is identical to that of Intervention 1 except that after the first calorimeter session and subsequent cardiovascular battery, participants will exit the thermal chamber and spend ~2 hours (hours 5-6) resting in an air-conditioned room (~23°C, ~50% relative humidity). Similar to Intervention 1, participants will be allowed to eat a small self-provided lunch during this time and consume water (tap) ad libitum. The third cardiovascular battery will also be performed in the cooled environment. As in Intervention 1, participants will then re-enter the calorimeter for the final 3 hours, where they will rest in the heat for the remainder of the experimental session.
Statistical analysis and sample size calculations Statistical analysis for Intervention 2 will be performed to assess whether mid-day exposure to a cooled room results in greater body heat storage following exposure such that physiological responses are similar to those of the non-cooled group by the end of the 9-hour heatwave simulation. Cumulative whole-body heat storage will be evaluated using a linear mixed-effects model with experimental group modelled as a between-subject fixed effect. Cumulative heat storage over the first three hours of the 9-hour exposure will be included as a covariate to account for the influence of any inter- or intra-individual factors (e.g., sex, physical activity levels), measured or unmeasured, impacting whole-body heat exchange and storage. Comparisons of heat storage between groups will be made using model estimated marginal means.
Body core temperature, as estimated by rectal temperature (primary outcome), will be analyzed with a linear mixed effects model with experimental group (two levels: cooling and no-cooling) modelled as a between-subject fixed effect and time as a repeated within-subject fixed effect (0-, 1-, 2-, and 3-hours post-cooling intervention). Like the model for heat storage, rectal temperature at the end of the first calorimetry session (i.e., hour 3 of the 9-hour exposure) will be included as a covariate to account for the influence of any measured or unmeasured inter- or intra-individual factors impacting the body temperature responses to resting heat exposure.
The effect of cooling on rectal temperature will then be assessed via two one-sided tests performed on the mixed-effects model derived estimated marginal means at each timepoint. Equivalence bounds will be set to ±0.3°C, which corresponds to the typical day-to-day variation of core temperature and has been suggested to reflect a meaningful/detectable change in body temperatures in a recent study assessing the influence of cooling strategies on physiological strain in young adults. Secondary variables will be similarly evaluated. The level of significance will be set at P < 0.050. Descriptive statistics will be presented as mean (standard deviation) and comparisons between groups will be presented as mean ± 95% confidence interval.
An a priori power analysis determined that a total sample size of 18 older adults in each group (36 participants total) is required to confirm whether between-group differences in rectal temperature are equivalent within upper and lower bounds of +0.3°C and -0.3°C, respectively, with 80% power. This corresponds to an effect size (Cohen's d) of 1.0, based on the pooled-standard deviation of 0.3°C, determined from published data from our laboratory demonstrating a 0.2°C (SD 0.3) difference in core temperature between young and older adults and a 0.0°C (SD 0.3) difference in core temperature between older adults with and without type 2 diabetes following 3 hours of rest in a hot environment.
Study design
- Primary purpose
- Basic science
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Young adults | Experimental | Other: Simulated heatwave exposureYoung adults exposed to a 9-hour simulated heatwave (40°C, 15% relative humidity) |
| Older adults (no cooling) | Experimental | Other: Simulated heatwave exposureOlder adults exposed to a 9-hour simulated heatwave (40°C, 15% relative humidity) |
| Older adults (cooling) | Experimental | Other: Simulated heatwave exposure with mid-day coolingOlder adults exposed to a 9-hour simulated heatwave (40°C, 15% relative humidity) with ambient cooling intervention (i.e., exposure to an air-conditioned room) for hours 5-6. |
Who may qualify
- Ages
- 18 to 80 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (2 listed)
- male or female (non-pregnant) adults with or without a) chronic hypertension (elevated resting blood pressure; as defined by Heart and Stroke Canada and Hypertension Canada), b) type 2 diabetes as defined by Diabetes Canada, with at least 5 years having elapsed since time of diagnosis and or c) obesity as defined by the World Health Organization (Body Mass Index [BMI] greater than or equal to 30).
- non-smoking.
Key exclusion criteria (6 listed)
- Episode(s) of severe hypoglycemia (requiring the assistance of another person) within the previous year, or inability to sense hypoglycemia (hypoglycemia unawareness).
- Serious complications related to your diabetes (gastroparesis, renal disease, uncontrolled hypertension, severe autonomic neuropathy).
- Uncontrolled hypertension - BP >150 mmHg systolic or >95 mmHg diastolic in a sitting position.
- Restrictions in physical activity due to disease (e.g. intermittent claudication, renal impairment, active proliferative retinopathy, unstable cardiac or pulmonary disease, disabling stroke, severe arthritis, etc.).
- Use of or changes in medication judged by the patient or investigators to make participation in this study inadvisable.
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 |
|---|---|---|
| Simulated heatwave exposureYoung and older adults (no cooling) are exposed to a 9-hour simulated exposure. | Other | Older adults (no cooling), Young adults |
| Simulated heatwave exposure with mid-day coolingOlder adults (cooling) are exposed to a 9-hour simulated exposure with mid-day ambient cooling. | Other | Older adults (cooling) |
Primary outcome
Body heat storage
Time frame: First 3 hours (hours 1-3) of simulated heatwave
Cumulative amount of heat stored within the body
Body heat storage
Time frame: Final 3 hours (hours 7-9) of simulated heatwave
Cumulative amount of heat stored within the body
Rectal temperature
Time frame: Hour 3 of simulated heatwave
Index of core body temperature
Rectal temperature
Time frame: Hour 9 of simulated heatwave
Index of core body temperature
19 secondary outcomes
Heart rate
Time frame: Hour 3 of simulated heatwave
Heart rate
Time frame: Hour 9 of simulated heatwave
Systolic blood pressure
Time frame: Hour 3 of simulated heatwave
Systolic blood pressure
Time frame: Hour 9 of simulated heatwave
Diastolic blood pressure
Time frame: Hour 3 of simulated heatwave
Diastolic blood pressure
Time frame: Hour 9 of simulated heatwave
Mean arterial pressure
Time frame: Hour 3 of simulated heatwave
Mean arterial pressure
Time frame: Hour 9 of simulated heatwave
Rate pressure product
Time frame: Hour 3 of simulated heatwave
Rate pressure product
Time frame: Hour 9 of simulated heatwave
Cardiac baroreflex sensitivity
Time frame: Hour 3 of simulated heatwave
Cardiac baroreflex sensitivity
Time frame: Hour 9 of simulated heatwave
Change in plasma volume
Time frame: Hour 9 of simulated heatwave
Heart rate variability: SDNN
Time frame: Hour 3 of simulated heatwave
Heart rate variability: SDNN
Time frame: Hour 9 of simulated heatwave
Heart rate variability: RMSSD
Time frame: Hour 3 of simulated heatwave
Heart rate variability: RMSSD
Time frame: Hour 9 of simulated heatwave
Circulating inflammatory and stress markers
Time frame: Hour 9 of simulated heatwave
Intracellular inflammatory and stress markers
Time frame: Hour 9 of simulated heatwave
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 18 Aug 2021.
- Derived from this study: PubMed 42091206Garrett J, McCormick J, King K, O'Connor F, Meade R, Kenny G. Effect of cooling centres on BDNF and HSP70 responses during a simulated heatwave exposure in older adults. Appl Physiol Nutr Metab. 2026 Jan 1;51:1-11. doi: 10.1139/apnm-2025-0443.
- Derived from this study: PubMed 41512819Journeay WS, McCormick JJ, King KE, Garrett JM, O'Connor FK, Hutchins KP, Meade RD, Kenny GP. Serum endothelial monocyte-activating polypeptide-II response after 9 h of passive heat exposure: influence of age, diabetes, or hypertension. Am J Physiol Regul Integr Comp Physiol. 2026 Feb 1;330(2):R119-R125. doi: 10.1152/ajpregu.00307.2025. Epub 2026 Jan 9.
- Derived from this study: PubMed 40554659Garrett JM, McCormick JJ, King KE, Meade RD, Boulay P, Sigal RJ, O'Connor FK, Kenny GP. Irisin and betatrophin responses to 9 h of passive heat exposure: Influence of age, hypertension, and type 2 diabetes. Physiol Rep. 2025 Jun;13(12):e70411. doi: 10.14814/phy2.70411.
- Derived from this study: PubMed 40036754Lee B, Meade R, Davey S, Thake C, McCormick J, King K, Kenny GP. Effect of brief ambient cooling on serum stress biomarkers in older adults during a daylong heat exposure: a laboratory-based heat wave simulation. Appl Physiol Nutr Metab. 2025 Jan 1;50:1-8. doi: 10.1139/apnm-2024-0476.
- Individual participant dataSharing planned: No
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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. This study is not recruiting at the moment.
Glen P Kenny, PhD principal investigator
University of Ottawa
Ronald J Sigal, MD, MPH principal investigator
University of Calgary
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Simulated heatwave exposure and Simulated heatwave exposure with mid-day cooling in people with Aging and Heat Stress, run by University of Ottawa at 1 site in Canada.
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 2 inclusion and 6 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: finished, as of the sponsor's last update on 18 Aug 2021. 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 Canada. 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?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Body heat storage (time frame: First 3 hours (hours 1-3) of simulated heatwave). 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 NCT04353076, which also lists 4 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 18 Aug 2021.