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Influence of home-based heat therapy on thermal and cardiovascular strain during passive heat exposure in older adults

2024· article· en· W4398167135 on OpenAlexaff
Heidi L. Cope, Rauchelle E. Richey, Ysabella Ruiz-Pick, Amy M. Moore, Albert H. Olivencia‐Yurvati, Tyson C. Garfield, Daniel Gagnon

Bibliographic record

VenuePhysiology · 2024
Typearticle
Languageen
FieldMedicine
TopicInfrared Thermography in Medicine
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsStrain (injury)MedicineHeat stressInternal medicineBiologyAnimal science

Abstract

fetched live from OpenAlex

Heat waves are occurring more frequently and with greater intensity. In fact, 2023 marked the hottest summer ever recorded in the Northern Hemisphere. Heat waves increase the risk for heat-related morbidity and mortality, particularly for older adults who have a reduced ability to dissipate heat. Heat acclimation induces physiological adaptations that attenuate thermal and cardiovascular strain during subsequent heat exposures. However, traditional heat acclimation protocols require expensive equipment (e.g., climate chamber) and may be challenging for older adults with limited functional capacity. Home-based heat therapy provides a potentially safe and pragmatic option to induce heat acclimation. The purpose of this pilot study was to test the hypothesis that home-based heat therapy reduces thermal and cardiovascular strain in older adults during acute passive heat exposure. Six older adults (5 women; 67 ± 4 years) performed 8 weeks of home-based heat therapy by immersing their lower legs ~33 cm into a heated (~ 42°C) and circulated water bath 4 days per week, for 45 min per session. Intestinal temperature (telemetric pill) and heart rate were assessed before (pre) and after (post) the intervention during acute heat exposure (45 min lower leg water immersion). In addition, rate pressure product, an estimate of myocardial demand, was calculated as heart rate x systolic blood pressure. Resting intestinal temperature, heart rate, and rate pressure product did not differ from pre to post heat therapy (all P ≥ 0.6). However, the change in intestinal temperature during acute heat exposure was reduced after heat therapy (15 min: pre, Δ0.47 ± 0.17 °C vs. post, Δ0.33 ± 0.14 °C; 30 min: pre, Δ0.84 ± 0.29 °C vs. post, Δ0.72 ± 0.23 °C; 45 min: pre, Δ1.10 ± 0.27 °C vs. post, Δ1.07 ± 0.24 °C; P = 0.03 for main effect of time). Likewise, the change in heart rate was attenuated following the intervention (15 min: pre, Δ14 ± 9 bpm vs. post, Δ10 ± 5 bpm; 30 min: pre, Δ22 ± 13 bpm vs. post, Δ17 ± 6 bpm; 45 min: pre, Δ25 ± 9 bpm vs. post, Δ21 ± 6 bpm; P = 0.02 for main effect of time). Rate pressure product was also reduced following heat therapy (15 min: pre, Δ1280 ± 1636 bpm·mmHg vs. post, Δ322 ± 698 bpm·mmHg; 30 min: pre, Δ1800 ± 1573 bpm·mmHg vs. post, Δ1170 ± 450 bpm·mmHg; 45 min: pre, Δ2145 ± 593 bpm·mmHg vs. post, Δ840 ± 602 bpm·mmHg; P < 0.01 for main effect of time). Our preliminary data suggest that 8 weeks of home-based heat therapy elicits some adaptations that may reflect heat acclimation. However, further work is needed to confirm these initial findings. American Heart Association TPA958179. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.945
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.229
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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