Study note • PMID 36293588
Using Predictive Modeling Technique to Assess Core Temperature Adaptations from Heart Rate, Sweat Rate, and Thermal Sensation in Heat Acclimatization and Heat Acclimation.
How to use this page
This note summarizes one study record. Check the participants, methods, results, and limitations before applying it to training.
- • Design signal: controlled study.
- • Population relevance: athlete/trained context.
- • Consistency: single-study evidence.
- • Practical recommendation depends on tolerance, context, and whether it protects training consistency.
ELI5
In plain language
Assessing the adaptation of rectal temperature (T(rec)) is critical following heat acclimatization (HAz) and heat acclimation (HA) because it is associated with exercise performance and safety; however, more feasible… (controlled study; athletes).
The abstract reports an association involving Performance in heat (not necessarily causation). Treat this as a signal, not a guarantee; confirm methods and context in the full paper.
Takeaways
What the abstract suggests
- • Study question: Assessing the adaptation of rectal temperature (T(rec)) is critical following heat acclimatization (HAz) and heat acclimation (HA) because it is associated with exercise performance and safety; however, more feasible…
- • The abstract reports an association involving Performance in heat (not necessarily causation).
- • Population: athletes.
- • Protocol cues (title/abstract): 60 min.
Protocol
Protocol (as reported)
- • Intervention/exposure: heat acclimation, heat acclimatization (vs comparison group).
- • Dose/time/duration cues in abstract/title: 60 min.
- • Outcomes: Performance in heat.
- • Replication note: abstracts often omit adherence and timing; confirm details before changing training or supplementation.
Fit
Who it may help, and who should be cautious
Who it helps
- • Athletes similar to the study population (athletes) working on heat.
- • Athletes who can measure Performance in heat with a repeatable workout or time-trial effort.
Who should be cautious
- • If you have symptoms or conditions that make the intervention risky, get professional guidance.
- • If you’re near race day and can’t safely test, defer the experiment.
Methods
What the study actually did
- • Design: controlled study.
- • Population: athletes.
- • Comparator: comparison group.
- • Outcomes measured: Performance in heat.
- • Protocol cues mentioned: 60 min.
- • Source: PubMed PMID 36293588 (2022) — International journal of environmental research and public health.
Results excerpt
What the abstract reports
“Specificity was 0.96 when two or three variables met cut-points to predict lower T(rec).”
Note: excerpts are short; for full context, read the paper.
Limits
Limitations and bias
- • Abstract-only summaries can miss critical details (population, protocol, adherence, and context).
- • Single studies often don’t generalize to your event, history, and training load; treat results as a starting point.
- • If your context differs (elite vs recreational; cycling vs running), adjust expectations and be conservative.
- • This is performance information, not medical advice.
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