The influence of body composition on exercise-associated skin temperature changes after resistance training

Weigert, Martin; Nitzsche, Nico; Kunert, Felix; Lösch, Christiane; Schulz, Henry

doi:10.1016/j.jtherbio.2018.05.009

Cited by 19 publications

(11 citation statements)

References 34 publications

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“…The increase in fat thickness does not cause the temperature of the fat layer to rise, but rather causes it to decrease, indicating that fat does play a role in blocking heat. This phenomenon is consistent with experimental observations in [42,43]. The skin layer is the outer layer of the body, and the barrier to protect human body, and is also the interface to exchange heat, water and gas with the environment.…”

Section: Effect Of Tissue Thickness Step Change On Temperature Distrisupporting

confidence: 92%

“…Meanwhile, other tissues of the body also affect the temperature distribution. As mentioned in reference [42,43], the percentage change of muscle tissue will affect the average temperature of the skin, which is also reflected in the calculation results.…”

Section: Effect Of Tissue Thickness Step Change On Temperature Distrimentioning

confidence: 96%

“…Previous studies have paid more attention to the influence of external environmental factors on the human thermal state [7,12,35,40,41]. However, in fact, internal physiological difference will make the thermal state differ significantly, and hence needs to be considered in providing the personalized thermal environment or in the thermal management of personnel protective equipment [42][43][44], yet, it has not been deeply explored.…”

Section: Introductionmentioning

confidence: 99%

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Influence of Internal Structure and Composition on Head’s Local Thermal Sensation and Temperature Distribution

Zhang

Huang

et al. 2020

Atmosphere

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A personalized thermal environment is an effective way to ensure a good thermal sensation for individuals. Since local thermal sensation and temperature distribution are affected by individual physiological differences, it is necessary to study the effects of physiological parameters. The purpose of this study was to investigate the effects of internal structures and tissue composition on head temperature distribution and thermal sensation. A new mathematical model based on fuzzy logic control was established, the internal structure and tissue composition of the head were obtained by magnetic resonance imaging (MRI), and the local thermal sensation (LTS) index was used to evaluate the thermal sensation. Based on the mathematical model and the real physiological data, the head temperature and local sensation changes under different parameters were investigated, and the sensitivity of thermal sensation relative to the differences in tissue thickness was analyzed. The results show that skin tissue had the highest influence ( C s k i n = 0.0180 ) on head temperature, followed by muscle tissue ( C m u s c l e = 0.0127 ), and the influence of adipose tissue ( C f a t = 0.0097 ) was the lowest. LTS was most sensitive to skin thickness variation, with an average sensitivity coefficient of 1.58, while the muscle tissue had an average sensitivity coefficient of 0.2, and the sensitivity coefficient of fat was relatively small, at a value of 0.04.

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Section: Effect Of Tissue Thickness Step Change On Temperature Distrisupporting

confidence: 92%

Section: Effect Of Tissue Thickness Step Change On Temperature Distrimentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Influence of Internal Structure and Composition on Head’s Local Thermal Sensation and Temperature Distribution

Zhang

Huang

et al. 2020

Atmosphere

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“…One explanation for this difference might be a thicker subcutaneous fat layer in women, where conduction of heat from the underlying muscles to the surface is impaired due to the insulating effect of the subcutaneous adipose tissue. In line with this suggestion is the observation that a greater body fat percentage and a greater skinfold thickness are associated with delayed and lower increases in skin temperature after resistance exercise (Weigert et al, 2018). Even though the subcutaneous fat layer may impair the conductive heat loss from the working leg muscles in women, McGinn et al reported in 2017 that greater body fat had a minor negative effect on WBHL (McGinn et al, 2017).…”

Section: Sex Differencesmentioning

confidence: 91%

Skin Temperature in Master Long-Distance Runners—Results From a Field Study at the 2018 World Master Athletics Championships

Ganse¹,

Degens²

2020

Front. Sports Act. Living

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Older people and athletes show impairments in thermoregulation, but this has not yet been studied during a running competition. The aim of the study was to assess (1) whether there are age-related differences in skin temperature during the last stage of a race in well-trained master athletes and (2) to what extent such differences are related to running speed and sex. To investigate this, we used thermography to measure maximum skin temperatures of the head, legs and hands of participants of the 2018 World Master Athletics (WMA) Championships when they were approximately 9,600 m into a 10,000-m road race. Of the 813 runners, 404 were analyzed (142 women, 262 men) including athletes of age groups 35 to 85. All ≥70-year-old athletes completed the race; all 16 non-finishers were younger. The hand temperature was lower than that of the head and legs (p < 0.001). Stepwise regression revealed that head (R 2 adj = 0.143; p < 0.001) and hand temperature decreased with increasing speed (R 2 adj = 0.092; p < 0.001). Sex was the most important determinant of leg skin temperature (R 2 adj = 0.054; p < 0.001), men having higher leg temperatures than women, with a small negative contribution of speed (R 2 adj increased to 0.069). In conclusion, higher running speed is associated with lower skin temperatures, and leg skin temperature is lower in women than men. The absence of an age effect on skin temperature suggests that there is no impairment in heat dissipation in well-trained older athletes.

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“…En el hombre se ha observado que la obesidad aumenta el calor corporal central. Un cambio provocado principalmente por el mayor aislamiento del tejido adiposo sub-cutáneo (Salamunes et al;Weigert et al, 2018), sobre todo en el esqueleto axial, con una desregulación vasoconstrictora periférica (Carrasco et al, 2002). Modificaciones provocadas por la distribución del tejido adiposo subcutáneo, que podrían modificar los patrones de eliminación de la temperatura corporal a través de la piel, variando la capacidad de disipación del calor producido por el metabolismo basal o durante el reposo.…”

Section: Introductionunclassified

Asociación entre la Termografía por Infrarrojo, Parámetros Antropométricos y Gasto Energético de Reposo en Hombres

Barraza-Gómez

Alvear-Ordenes²,

Hecht-Chau

et al. 2021

Int. J. Morphol.

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RESUMEN:Es reconocido que un incremento de la grasa corporal subcutánea es capaz de alterar el patrón de liberación de calor a través de la piel. Sin embargo, la asociación con otras variables antropométricas y la influencia del gasto energético en reposo (GER), han sido escasamente abordadas. Este estudio determinó la relación de la temperatura de la piel con variables antropométricas, peso corporal y GER de hombres adultos sanos. Participaron en el estudio un total de 24 varones sanos de 33,9±8,7 años de edad, 85,8±9,7 kg de peso corporal, 172,5±6,1 cm de estatura y 28,9±3,4 kg/m 2 de índice de masa corporal (IMC). Se realizaron evaluaciones antropométricas, de termografía por infrarrojo y del GER por calorimetría indirecta, con analizador de gases. La temperatura promedio de los 6-pliegues, y las individuales (toracoabdominales, supra-espinal y abdominal), tuvieron correlaciones negativas con el IMC, perímetro de cintura, índice cintura cadera, índice cintura estatura, y la sumatoria de 6 pliegues; todos con p<0,05. Además, la temperatura del pliegue supraespinal tuvo una correlación negativa con el porcentaje de masa adiposa (MA%), r=0,47(p=0,0194). La MA% y el IMC tuvieron correlaciones negativas con el GER, con r=-0,59 (p=0,002) y r=-0,53 (p=0,006), respectivamente. El promedio de temperatura de los 6-pliegues presentó una correlación positiva con el GER (r=0,44; p=0,02). La composición corporal causa una modificación en los patrones de termografía superficial local, sin afectar la relación entre el promedio de la temperatura superficial total con el GER, pudiendo éste ser un factor predictor. PALABRAS CLAVE: Termometría; Espesor de pliegue cutáneo; Metabolismo; Índice de masa corporal.

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The influence of body composition on exercise-associated skin temperature changes after resistance training

Cited by 19 publications

References 34 publications

Influence of Internal Structure and Composition on Head’s Local Thermal Sensation and Temperature Distribution

Influence of Internal Structure and Composition on Head’s Local Thermal Sensation and Temperature Distribution

Skin Temperature in Master Long-Distance Runners—Results From a Field Study at the 2018 World Master Athletics Championships

Asociación entre la Termografía por Infrarrojo, Parámetros Antropométricos y Gasto Energético de Reposo en Hombres

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