Skip to content

Using Predictive Modeling Technique to Assess Core Temperature Adaptations from Heart Rate, Sweat Rate, and Thermal Sensation in Heat Acclimatization and Heat Acclimation.

PMID 36293588 (2022): heat acclimation, heat acclimatization — Performance in heat (study note for endurance athletes).

Last updated/Feb 23, 2026, 10:34 PM

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.

International journal of environmental research and public health2022 • DOI 10.3390/ijerph192013009
Evidence C60/100
Action 2: Consider

Worth trying if it fits your goal and context.

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 helps, and who should skip it

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 skip

  • 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 & 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.

Coaching beta

Get a plan that adapts to your life.

Join the 26weeks.ai TestFlight beta for adaptive coaching, recovery-aware adjustments, and race-week reminders.

Keep going

Sources