Effect of Whole-, Upper-, and Lower-Body High-Intensity Rowing Exercise on Skin Temperature Measured by Thermography.

Purpose: Despite the growing works analyzing exercise-induced thermoregulatory adjustments through thermography, the skin temperature (Tsk) response of the same muscle groups underwent to different exercise demands has not been investigated. This study analyzed the behavior of Tsk of the same muscle groups when exercised with different demands in rowing. Methods: Eighteen men underwent three performance tests on a rowing ergometer: whole-body 2,000 m test (RTWB), upper-body (RTUB), and lower-body (RTLB) tests. In each condition, thermograms were recorded before (pre), immediately after test (post), and at 10 (REC10), 20 (REC20), and 30 (REC30) minutes post-exercise recovery. Tsk was measured at the pectoral (control body region), upper back, quadriceps, brachial biceps, and forearm. Results: Pectoral-Tsk reduced comparably in response to all testing conditions (p < .05). Upper back-Tsk decreased post (p < .001) and returned to baseline in the RTUB (REC10, p = 1.0) and RTWB (REC30, p = .128), while remained reduced in the RTLB (p < .001). Quadriceps-Tsk reduced post (p < .05) and returned to baseline in the RTWB and RTLB at REC10 (p = 1.0), remaining reduced in the RTUB during recovery (p < .05). Regarding the upper limbs, Tsk increased more markedly in the RTUB versus RTWB during the recovery period (p < .05); in the RTLB, biceps-Tsk remained below baseline over time (p < .05), whereas the forearm-Tsk was restored at REC10 (p = 1.0). Conclusion: Manipulating the muscle groups involved in rowing alters the Tsk response within equal ROI. Exercise-induced Tsk changes can reflect local hemodynamic and thermoregulatory adjustments.

Can the body mass index influence the skin temperature of adolescents assessed by infrared thermography?

Infrared thermography (IRT) is a technology that has been used as an auxiliary tool in the diagnostic process of several diseases and in sports monitoring to prevent injuries. However, the evaluation of a thermogram can be influenced by several factors that need to be understood and controlled to avoid a misinterpretation of the thermogram and, consequently, an inappropriate clinical action. Among the possible factors that can affect IRT are anthropometric factors, especially those related to body composition. Based on these, our objective was to verify the influence of Body Mass Index (BMI) on skin temperature (Tsk) in male adolescents. One hundred male adolescents (age: 16.83 ±â€¯1.08 years; body mass: 66.51 ±â€¯13.35 kg; height: 1.75 ±â€¯7.04 m and BMI: 21.57 ±â€¯4.06 kg/m2) were evaluated and divided into three groups, based on the World Health Organization (WHO) proposed classification ranges: underweight (n = 33), normal weight (n = 34) and overweight/obesity (n = 34). Thermograms were obtained using the FLIR T420 thermal imager after a period of acclimatization of the subjects in a controlled environment (temperature: 21.3 ±â€¯0.7 °C and humidity: 55.3 ±â€¯2.2%); they were evaluated using the ThermoHuman® software, integrating the original regions of interest (ROI) into seven larger ROIs. The results showed that underweight individuals had higher Tsk values than normal weight and overweight/obese individuals for all evaluated ROIs, and overweight/obese individuals had lower Tsk values than normal weight individuals for most evaluated ROIs, except for arms region. BMI showed a correlation of -0.68 and -0.64 for the anterior and posterior regions of the trunk, respectively. Thermal normality tables were proposed for various ROIs according to BMI classification. Our study demonstrated that BMI can affect the Tsk values assessed by IRT and needs to be considered to interpret the thermograms.

Influencia de los parámetros antropométricos y la composición corporal en las imágenes termográficas / Influência de parâmetros antropométricos e de composição corporal em imagens termográficas / Influence of anthropometric parameters and body composition in thermographic images

La termografía infrarroja está siendo utilizada en la actualidad para medir la temperatura de la piel (Tsk) tanto en medicina como en ciencias delejercicio. Sin embargo, para obtener una imagen termográfica de calidad, es necesario tener en cuenta factores que intervienen para evitar unainterpretación errónea de los resultados observados, incluidos los factores antropométricos y de la composición corporal. Por lo tanto, el objetivo de estarevisión narrativa, es establecer cómo los parámetros antropométricos y de composición corporal pueden afectar los valores de Tsk, repercutiendo así enla evaluación de las imágenes termográficas. Los resultados de este estudio apuntan a un alto nivel de influencia de la superficie corporal y,especialmente, de la cantidad de grasa corporal en el patrón de normalidad esperado de la Tsk evaluada por termografía infrarroja, siendo los sujetos conmayor cantidad de grasa corporal quienes presentan menores valores de Tsk comparados con los de menor cantidad de grasa, algo que deberíaconsiderarse al evaluar a la población general y a los atletas con diferentes patrones de composición corporal.(AU)

Infrared thermography has been recently used to measure skin temperature (Tsk) in both medicine and sports medicine. However, to obtain a qualitythermographic image, it is necessary to observe intervening factors to avoid misinterpretation of the results, including anthropometric and bodycomposition factors. Therefore, the objective of this narrative review is to establish how anthropometric and body composition parameters can affect theTsk response, thus influencing the assessement of thermographic images. The results of this study point to a high level of influence of the body surfaceand, especially, of the amount of body fat in the expected Tsk pattern of normality evaluated by infrared thermography, being the subjects with higheramount of body fat who present lower Tsk values compared to those with lower body fat, which is something that should be considered when evaluatingthe general population and athletes with different body composition patterns.(AU)

A termografia infravermelha tem sido empregada de forma mais recente para mensurar a temperatura da pele (Tsk) sendo utilizada na medicina etambém na medicina esportiva. Entretanto, para se obter uma imagem termográfica de qualidade, vários fatores intervenientes precisam ser observadospara que se evite um erro de interpretação sobre os resultados observados, dentre eles os fatores antropométricos e de composição corporal. Assim que,o objetivo desta revisão narrativa é estabelecer de que forma os parâmetros antropométricos e de composição corporal podem afetar a resposta da Tsk,impactando assim na avaliação de imagens termográficas. Têm-se como principais conclusões que as evidências apontam para um elevado nível deinfluência da superfície corporal e especialmente da quantidade de gordura corporal sobe o padrão de normalidade esperada da Tsk avaliada portermografía infravermelha, de modo que indivíduos com maior quantidade de gordura corporal apresentam valores menores de Tsk quando comparadosa indivíduos com menor quantidade, devendo assim ser considerado ao avaliar a população em geral e atletas com diferentes padrões de gorduracorporal.(AU)

Can body mass index influence the skin temperature of adolescents? A preliminary study with the use of infrared thermography / O índice de massa corporal pode influenciar a temperatura da pele de adolescentes? Um estudo preliminar com o uso da termografia infravermelha

Abstract Infrared thermography (IRT) has been used to assess skin temperature (Tsk), especially during the COVID-19 pandemic, as an important tool in medical screening not only of the general population, but also of young athletes. However, the subcutaneous adipose tissue can act as an insulator when the Tsk is assessed by IRT, modifying the normal Tsk data and leading to their misinterpretation. Considering that the body mass index (BMI) is an important predictor of obesity, the objective of this study was to verify if the Tsk measured by IRT is affected by the BMI in adolescents. A preliminary study was carried out being four participants intentionally selected, all 16 years old, each one classified in a different BMI range according to the criteria of the World Health Organization for the adolescent population: underweight, healthy weight, overweight and obesity. Four thermograms of each participant were recorded and the ThermoHuman® software was used to evaluate 82 regions of interest (ROI), which were integrated into 6 body regions. Using healthy weight subjects as a reference, it was found a progressive reduction in Tsk in all ROI compared to overweight and obese participants, with emphasis on the anterior region of the trunk (3.04% and 6.69% less respectively), and an increase in the Tsk of all body regions for the underweight subject. There are indications that BMI can influence the Tsk value in adolescents and should be taken into account when analyzing thermograms for a correct evaluation of thermal normality.

Resumo A termografia infravermelha (TI) tem sido uma técnica empregada para avaliar a temperatura da pele (TP), especialmente durante a pandemia do COVID-19. Contudo, existem indicações que o tecido adiposo subcutâneo pode agir como uma camada isolante, alterando o comportamento da TP, o que pode dificultar a interpretação da normalidade térmica. Tendo em vista que o índice de massa corporal (IMC) é considerado um importante preditor de obesidade, o objetivo deste estudo foi verificar se a TP sofre interferência de diferentes classificações de IMC em adolescentes. Foram selecionados 4 participantes de maneira intencional, todos com 16 anos, cada um foi classificado em uma diferente faixa de IMC para população de adolescentes segundo a classificação proposta pela Organização Mundial de Saúde para essa idade: baixo peso, peso normal, sobrepeso e obesidade. Foram feitos quatro termogramas, avaliados no software ThermoHuman®, que avalia 82 regiões corporais de interesse (RCI), que foram integradas em 6 regiões corporais. Utilizando os indivíduos com peso normal como referência, foi encontrada uma redução progressiva na TP comparada aos participantes com sobrepeso e obesidade, com ênfase para a região anterior de tronco (3.04% e 6.69% menores, respectivamente), e um aumento na TP de todas as regiões corporais comparadas ao sujeito com baixo peso. Isso indica que o IMC pode influenciar nos valores da TP em adolescentes e deve ser levado em consideração para uma avaliação correta da normalidade térmica.

Comportamento da temperatura da pele no exercício por meio da termografia infravermelha: uma revisão integrativa / Behaviour of skin temperature in exercise via infrared thermography: an integrative review

O objetivo foi realizar uma análise crítica sobre os principais aspectos metodológicos empregados nas pesquisas sobre a resposta da temperatura da pele por termografia infravermelha, bem com seu comportamento durante diferentes formas de exercício, além de descrever as alterações que ocorrem no decorrer do processo de recuperação de até uma hora. Foi realizada uma busca sistemática nas bases de dados MEDLINE/Pubmed, Scielo e Science Direct, utilizando os termos "thermography" and "exercise", no período de janeiro de 2012 a outubro de 2021, sendo incluídos apenas estudos realizados em laboratório. Os principais resultados indicam que a maior parte dos estudos são realizados com homens, adultos, com número amostral restrito. A região de membros inferiores é a mais estudada. O treinamento de força compreendeu 54% dos estudos. Durante exercício progressivo, existe uma clara tendência de redução da temperatura, enquanto no exercício de carga contínua isso somente ocorre nos momentos iniciais. Como conclusão, têm-se uma carência de estudos com mulheres e grupos com faixas etárias extremas, e os procedimentos de análise de imagens não são uniformes entre os estudos. A resposta da temperatura da pele é diferente em função do tipo de exercício realizado (progressivo ou constante), bem como da região exercitada. (AU)

The objective was critically to analyze the main methodological aspects employed in research studies investigating the response of skin temperature to exercise measured via thermography, as well as to describe the behaviour of during and until 1 h after different modes of exercise. A systematic search was performed in the MEDLINE/Pubmed, Scielo, and Science Direct databases using the keywords thermography AND exercise, between January 2012 to October 2021. Only laboratory studies were included. The main results indicate that most studies were performed with male adults, with small sample size. Lower limbs represent the body region more studied. Regarding exercise mode, strength training abranged 54% of studies. During progressive exercise there is clearly a skin temperature reduction, and during continuous exercise of constant load the decrease occur at initial moments of exercise. In conclusion, there is a lack of studies analyzing female and broader age groups, and procedures for analyzing images are not uniform across studies. The skin temperature response to exercise is different according with the mode of exercise performed (constant or progressive load) and exercised body region. (AU)

Thermographic response resulting from strength training: A preliminary study

INTRODUCTION: Exercise induces modifications in thermal homeostasis. The type of exercise may have a specific impact on skin temperature (Tsk). OBJECTIVE: To analyze and compare the behavior of Tsk in a resistance training between men and women and monitor the thermal recovery response. MATERIAL AND METHODS: Sixteen male and female adults (24.56±3.22 years old) underwent a resistance circuit training session. They performed 3 sets of 12 repetitions with 70-80% 1 RM for lat pulldown, leg press, and biceps arm curl exercises. Thermograms were taken in anterior and posterior body view at rest, 20min, and 24h after training. Tsk was measured in the body regions of interest corresponding to the brachial biceps, quadriceps, and upper back. ANOVA with Tukey's post hoc test was used to analyze Tsk changes among moments, and independent samples t-test was used to compare Tsk between males and females. RESULTS: At rest, women showed Tsk significantly lower than men. There was no significant Tsk change 20min after exercise. However, Tsk increased 24h after exercise in the upper back for men compared with baseline and in quadriceps for women compared with baseline and 20min after exercise (p < 0.05). CONCLUSION: The Tsk of women at rest is lower than that of men. A resistance circuit training session does not significantly change Tsk 20min after exercise, but it increases Tsk 24h after training in the upper back for men and quadriceps for women

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Comportamento da frequência cardíaca máxima em exercício no remoergômetro / Maximum heart rate behavior in rowing ergometer exercise

Introdução: A utilização da frequência cardíaca máxima (FCM) para controle de carga de trabalho é uma prática comum no meio esportivo. Objetivos: Estabelecer equações de estimativa da FCM específicas por sexo em remoergômetro e comparar os valores obtidos entre homens e mulheres. Métodos: Foram avaliados 56 indivíduos saudáveis (23 homens e 23 mulheres). Todos os indivíduos foram submetidos a uma avaliação dividida em quatro etapas: avaliação diagnóstica, medidas antropométricas, familiarização com o remoergômetro e realização do teste de 2000 metros. Utilizou-se o teste t de Student não pareado para comparar a FCM entre homens e mulheres e a análise de regressão para estabelecer as equações de estimativa. Resultados: As mulheres apresentaram valores de FCM significativamente maiores (p < 0,05) em comparação com os homens (189,8 ± 7,4 vs. 187,9 ± 5,7). As equações geradas foram, respectivamente, para mulheres e homens: y = -1,2967x + 220,93 e y = -0,7473x + 205,86. Conclusão: É necessário gerar equações de estimativa da FCM específicas por sexo para o exercício em remoergômetro, uma vez que homens e mulheres apresentam diferentes valores de FCM

Introduction: The use of maximum heart rate (MHR) to control workload is a co mmon practice in sports. Objective: To establish gender-specific MHR estimation equations in the rowing ergometer, and to compare the values obtained between men and women. Methods: Fifty-six healthy individuals were evaluated (23 men and 23 women). All the subjects were submitted to an evaluation divided into four stages: diagnostic evaluation, anthropometric measurements, familiarization to the rowing ergometer, and the performing of a 2000-meter test. The unpaired Student's t-Test was used to compare the MHR between men and women, and regression analysis was used to establish the estimation equations. Results: Women presented significantly (p < 0.05) higher MHR values than men (189.8 ± 7.4 vs. 187.9 ± 5.7). The equations generated were, for women and men respectively: y= -1.2967x + 220.93 and y= -0.7473x + 205.86. Conclusion: It is necessary to generate gender-specific MHR estimation equations for the rowing ergometer exercise, as men and women present different MHR values