Literature DB >> 23820362

Skin temperature and heart rate can be used to estimate physiological strain during exercise in the heat in a cohort of fit and unfit males.

John S Cuddy1, Mark Buller, Walter S Hailes, Brent C Ruby.   

Abstract

OBJECTIVE: To evaluate the previously developed physiological strain index (PSI) model using heart rate and skin temperature to provide further insight into the detection and estimation of thermal and physiological heat strain indices. A secondary aim was to characterize individuals who excel in their performance in the heat.
METHODS: 56 male participants completed 2 walking trials (3.5 miles per hour, 5% grade) in controlled environments of 43.3 °C and 15.5 °C (40% humidity). Core and skin temperature, along with heart rate and PSI, were continually monitored during exercise. Participants completed a physical fitness test.
RESULTS: The logistic regression model exhibited 4 false positives and 1 false negative at the 40% decision boundary. The "Not at Risk" group (N = 33) had higher body weight (84 ± 13 vs. 77 ± 10 kg, respectively) compared to the "At Risk" (N = 23) group, p < 0.05. The "Not at Risk" group had a faster 3-mile run time compared to the "At Risk" group (21:53 ± 3:13 vs. 25:16 ± 2:37, respectively), p < 0.05. During the Heat Trial, the "At Risk" group had a higher rating of perceived exertion at 60 and 90 minutes compared to the "Not at Risk" group (13.5 ± 2.8 vs. 11.5 ± 1.8 and 14.8 ± 3.2 vs. 12.2 ± 2.0 for "At Risk" vs. "Not at Risk" at 60 and 90 minutes, respectively), p < 0.05.
CONCLUSIONS: The previously developed model relating heart rate and skin temperature to PSI is highly accurate at assessing heat risk status. Participants classified as "At Risk" had lower physical performance scores and different body weights compared to the "Not at Risk" group and perceived themselves as working harder during exercise in the heat. Reprint &
Copyright © 2013 Association of Military Surgeons of the U.S.

Entities:  

Mesh:

Year:  2013        PMID: 23820362     DOI: 10.7205/MILMED-D-12-00524

Source DB:  PubMed          Journal:  Mil Med        ISSN: 0026-4075            Impact factor:   1.437


  8 in total

1.  Is Continuous Monitoring of Skin Surface Temperature a Reliable Proxy to Assess the Thermoregulatory Response in Endurance Horses During Field Exercise?

Authors:  Elisabeth-Lidwien J M M Verdegaal; Gordon S Howarth; Todd J McWhorter; Catherine J G Delesalle
Journal:  Front Vet Sci       Date:  2022-05-27

2.  The physiological strain index does not reliably identify individuals at risk of reaching a thermal tolerance limit.

Authors:  Sarah L Davey; Victoria Downie; Katy Griggs; George Havenith
Journal:  Eur J Appl Physiol       Date:  2021-03-07       Impact factor: 3.078

Review 3.  Skin Temperature Measurement Using Contact Thermometry: A Systematic Review of Setup Variables and Their Effects on Measured Values.

Authors:  Braid A MacRae; Simon Annaheim; Christina M Spengler; René M Rossi
Journal:  Front Physiol       Date:  2018-01-30       Impact factor: 4.566

4.  Effect of a Simulated Mine Rescue on Physiological Variables and Heat Strain of Mine Rescue Workers.

Authors:  Justin Konrad; Dominique Gagnon; Olivier Serresse; Bruce Oddson; Caleb Leduc; Sandra C Dorman
Journal:  J Occup Environ Med       Date:  2019-03       Impact factor: 2.162

5.  The Dynamic and Correlation of Skin Temperature and Cardiorespiratory Fitness in Male Endurance Runners.

Authors:  Jonathan Galan-Carracedo; Andrea Suarez-Segade; Myriam Guerra-Balic; Guillermo R Oviedo
Journal:  Int J Environ Res Public Health       Date:  2019-08-11       Impact factor: 3.390

6.  Heat stress monitoring based on heart rate measurements.

Authors:  Alvaro Cesar Ruas; Paulo Alves Maia; Rodrigo Cauduro Roscani; Daniel Pires Bitencourt; Fabiano Trigueiro Amorim
Journal:  Rev Bras Med Trab       Date:  2020-12-11

7.  Wearables for Measuring Health Effects of Climate Change-Induced Weather Extremes: Scoping Review.

Authors:  Mara Koch; Ina Matzke; Sophie Huhn; Hanns-Christian Gunga; Martina Anna Maggioni; Stephen Munga; David Obor; Ali Sié; Valentin Boudo; Aditi Bunker; Peter Dambach; Till Bärnighausen; Sandra Barteit
Journal:  JMIR Mhealth Uhealth       Date:  2022-09-09       Impact factor: 4.947

8.  Prediction of Relative Physical Activity Intensity Using Multimodal Sensing of Physiological Data.

Authors:  Alok Kumar Chowdhury; Dian Tjondronegoro; Vinod Chandran; Jinglan Zhang; Stewart G Trost
Journal:  Sensors (Basel)       Date:  2019-10-17       Impact factor: 3.576

  8 in total

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