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World desk5 min

Core Temperature Sensor Running: 5 Lessons From a Month in a Heatwave

A month of running with CORE 2 showed how estimates can shift with effort, shade and route. Here’s what the experience—and validation studies—can and can’t tell runners.

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A wearable core-temperature sensor can make heat strain easier to notice during a run, but its number is an estimate—not a clinical temperature or a safety alarm. Over a month of daily running in a UK heatwave, Tom’s Guide’s Nick Harris-Fry found that the CORE 2’s readings changed with route, effort and conditions, and that they did not always move in step with the skin-temperature trace. Independent studies also report meaningful disagreement between CORE readings and reference temperatures, so the device is best treated as training feedback rather than a way to diagnose or rule out heat illness.

What a month of running with the sensor showed

In an account published on 20 August 2026, Nick Harris-Fry described wearing the CORE 2 Thermal Sensor every day for a month during a UK heatwave. He attached it to a heart-rate chest strap and viewed readings in the CORE app and as a data field on a Garmin Forerunner 970. The experiences below are his observations from those runs, not controlled experiments or clinical measurements. Tom’s Guide’s account

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1. Core and skin readings can move in opposite directions

On one 15-mile run, Harris-Fry saw the device’s estimated core temperature rise while its skin-temperature trace fell. He attributed the skin reading’s fluctuations to sweat and wind cooling. That is a useful reminder that the two traces describe different signals and may respond differently to the same changing conditions; one run does not establish a universal pattern for every wearer or sensor.

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2. The estimate remained high after a hard session

After an afternoon track workout, the device showed a peak estimate of 101.8°F (38.7°C). Harris-Fry reported that it took 50 minutes after the workout for his reading to return to his usual level. On an easy run in weather of about 95°F (35°C), he also saw a reading above 100°F (37.7°C). These figures describe what the device displayed during his workouts; they are not verified body temperatures or general recovery targets.

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3. Shade coincided with a lower heat-strain reading

On a day when the air temperature was about 95°F (35°C), Harris-Fry said his estimate rose on an exposed road and plateaued after he moved onto undulating forest trails. He felt he was working harder on the trails, yet the reading appeared steadier in the shade. On a different outing, he reported staying in the device’s lowest heat-strain zone during an hour in forest conditions of about 85°F (29.4°C). This is a personal route comparison, not a controlled test proving that shade caused the change.

4. The display prompted him to ease off on easy runs

Harris-Fry found that easy runs sometimes moved above the lowest heat zone, especially when air temperature exceeded 90°F (32.2°C). He used the display as a cue to reduce his pace. That is his training response, not a pace rule for other runners: fitness, route, humidity, sun exposure and individual heat response all matter, and the estimate itself has limitations.

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5. Running every day did not automatically raise the app’s acclimation score

Despite daily running, Harris-Fry reported that the CORE app still labelled him “Thermal Rookie” and showed “4% acclimatized.” He said workouts in direct sun moved the app’s acclimation metric more, while he tended to run earlier and choose shade. The percentage is an app-reported metric, not a validated measurement of physiological acclimation. It should not be treated as proof that someone is or is not adapted to heat.

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How much confidence should you put in a wearable core-temperature estimate?

Validation studies suggest caution. Results depend on the activity, conditions, comparison method and study protocol; evidence from cycling or field hockey cannot be assumed to establish accuracy during every kind of run. The studies below assess CORE devices, but they do not establish the performance of every firmware version, wearer or individual workout.

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Hot cycling study: a small average difference, with later-bout overestimation

McLaughlin and colleagues’ 2025 study compared CORE with rectal temperature in 24 healthy adults cycling for 60 minutes at 60% of maximum aerobic power in 35.9°C heat and 20.7% relative humidity. Across the bout, CORE’s mean difference was a non-significant overestimate of 0.15 ± 0.43°C. In the third and fourth quarters, the reported overestimates were 0.31 ± 0.43°C and 0.36 ± 0.45°C. The researchers also found CORE overestimated skin temperature by 1.28 ± 0.96°C overall compared with a skin-surface probe, and identified skin-temperature overestimation and local subcutaneous fat as possible contributors. These are group results from a specific cycling protocol, not a correction factor for a runner’s reading. McLaughlin et al., Journal of Thermal Biology (2025)

Earlier validation and field-hockey studies found poor agreement in important comparisons

A 2021 cycling validation study reported acceptable repeatability across duplicate trials, but poor agreement with rectal temperature: approximately half of paired measurements fell outside its predefined ±0.3°C validity threshold. Repeatability means readings can be consistent across trials; it does not by itself mean they match the reference method closely. 2021 CORE validation study

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In a 2023 heat-training camp study involving elite women’s field hockey players, researchers compared CORE with an ingestible telemetric temperature pill. Agreement was poor, and 41–60% of samples exceeded ±0.3°C disagreement. The researchers did not support using CORE as a valid alternative for core-temperature assessment in hot exercise. The sport and protocol differ from recreational running, but the results reinforce that the reading should not be treated as interchangeable with a reference measurement. Goods et al., European Journal of Sport Science (2023)

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Do not transfer results from a different sensor to CORE

A 2022 study examined a different upper-chest dual-heat-flux patch during low-intensity walking and arm-cranking in heat and reported moderate estimation performance. Because that was not a CORE device, it does not validate the CORE 2. 2022 dual-heat-flux patch study

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A separate 2023 paper examined CORE against gastrointestinal temperature during cold-water ingestion and a 5 km running time trial in heat. The available record identifies the study and method but does not provide detailed results, so no numerical conclusion about its findings can be drawn here. 2023 running time-trial study

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How to use the reading without mistaking it for a safety verdict

The practical value Harris-Fry described was feedback: a display helped him notice when an easy run was moving out of his preferred low heat-strain zone and respond by slowing down. That can be useful as one input to a training decision. It does not make the device a medical thermometer, a proven heat-illness detector or a standalone safety device.

  • Use the estimate as a trend or prompt, not as a precise clinical value. A displayed number cannot confirm that you are safe to continue or diagnose heat illness.
  • Interpret a change alongside how you feel, the conditions and the effort. A route moving from sun into shade, or a change in wind and sweat, can coincide with different sensor traces.
  • Do not assume an app’s acclimation percentage measures a validated physiological state. In Harris-Fry’s account, the figure reflected the app’s metric and his choices about when and where to run.
  • When comparing wearable temperature products, check the exact device version and validation protocol, the reference method used, the activity and heat conditions, the reported bias and error range, and whether the product is intended for training feedback or safety-critical decisions.

For an individual run, the reported CORE estimate is not a substitute for responding to symptoms or making conservative decisions in dangerous heat. The evidence summarized here does not establish that a wearable reading can reliably rule out a problem.

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