Skin Temperature in Young Women with Low Values of Adipose Tissue

Background. Skin temperature is an important indicator of the functional status of the body. Infrared thermal images of the body surface or its separate parts could be the indicator of body composition and, probably, the criterion of the functional activity of muscles. Objectives. This study aims to...

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Bibliographic Details
Main Authors: Vitaliy Epishev (Author), Anna Nenasheva (Author), Yulia Korableva (Author), Alexander Belenkov (Author), Alina Episheva (Author), Seyed Morteza Tayebi (Author)
Format: Book
Published: The Society of Aging and Physical Activity (SAPA), 2019-12-01T00:00:00Z.
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LEADER 00000 am a22000003u 4500
001 doaj_0f565468d1b14b82896a44bd43f4adb2
042 |a dc 
100 1 0 |a Vitaliy Epishev  |e author 
700 1 0 |a Anna Nenasheva  |e author 
700 1 0 |a Yulia Korableva  |e author 
700 1 0 |a Alexander Belenkov  |e author 
700 1 0 |a Alina Episheva  |e author 
700 1 0 |a Seyed Morteza Tayebi  |e author 
245 0 0 |a Skin Temperature in Young Women with Low Values of Adipose Tissue 
260 |b The Society of Aging and Physical Activity (SAPA),   |c 2019-12-01T00:00:00Z. 
500 |a 2322-4479 
520 |a Background. Skin temperature is an important indicator of the functional status of the body. Infrared thermal images of the body surface or its separate parts could be the indicator of body composition and, probably, the criterion of the functional activity of muscles. Objectives. This study aims to find a correlation between the average values of skin temperature in different parts of the body and the components of body composition in young women with low values of adipose tissue (FAT % = 20.73±5.50; BMI = 20.23±2.44). Methods. The study involved 69 healthy women aged 18-20 (BMI = 20.23±2.44). Participants were subjected to a 15-minute temperature adaptation in the room with a temperature of 22-24°С and humidity of 45-50%. We measured body composition using bioelectrical impedance analysis and taking eight photos of different body areas with the help of the thermal infrared camera. Results. Correlation analysis allowed us to reveal temperature correlations with BMI and FAT%. The most significant values were registered between FAT% and tmean (r=-0.36), FAT% and tshinBL (r=-0.39), FAT% and tshin BR (r=-0.38). Conclusion. To forecast FAT% for this sample, the skin temperature of the shin is the most informative parameter (decrease by 1% results in the increase in FAT% by 1-1.5%). Moreover, we made a hypothesis that the differences between tmean of shins and hips indicate the postural balance: tshinmean ˃ t hipmean is responsible for the shin strategy; tshinmean ˂ thipmean indicates the hip strategy. 
546 |a EN 
690 |a young women 
690 |a body composition 
690 |a skin temperature 
690 |a temperature distribution 
690 |a thermal imaging 
690 |a Sports 
690 |a GV557-1198.995 
690 |a Science (General) 
690 |a Q1-390 
655 7 |a article  |2 local 
786 0 |n Annals of Applied Sport Science, Vol 7, Iss 4, Pp 61-71 (2019) 
787 0 |n http://aassjournal.com/article-1-780-en.html 
787 0 |n https://doaj.org/toc/2322-4479 
856 4 1 |u https://doaj.org/article/0f565468d1b14b82896a44bd43f4adb2  |z Connect to this object online.