The objective of this study is to investigate the relationship between clothing microclimate and physiological responses, including subjective sensations, when, in a $15^{\circ}C$ environment, a range of temperatures inside clothing is broadly produced from using various combinations of upper and lower garments. Six male subjects participated in the investigation and the results were as follows. For all types of inside garments, the temperature of the clothing was lower than the skin temperature for the whole body in each case. The mean temperature for inside clothing ($\bar{T}_{cl}$) significantly showed the highest correlation with mean weighted skin temperature (r = 0.816) and was less positively correlated with the temperature of the inside clothing at the chest (r = 0.326) (p < .01). Values for both the energy expenditure and the heart rate were less positively correlated with the clothing microclimate (p < .01). The change of body heat content showed a negative correlation with the surface temperature of the innermost clothing (r = -0.519) and there was a difference between the innermost surface temperature and the outermost surface temperature of the clothing at the chest (r = -0.577). As td increased, the increase of body heat content declined (p < .01). There was a negative correlation between body fat and some of the temperatures inside the clothing (p < .01) and body fat had no significant correlation with the humidity inside the clothing. Subjective sensations were more highly correlated with $\bar{T}_{cl}$ than with the temperature of the inside clothing at the chest and had not significantly correlation with the humidity of the inside clothing. In conclusion, through these results, it can be seen that the temperature inside the clothing was related to various physiological responses and subjective sensations, and that the mean temperature of the inside clothing ($\bar{T}_{cl}$) showed a higher relationship with the temperature of the inside clothing at the abdomen than that at the chest.
This study is the first part of the research to reveal the effects of somatotype characteristics on body temperature control reaction as well as thermal sensation. Nine healthy female collegians (classified into 3 body types of thin, normal, and obese according to Rohrer index) living in Busan were chosen as the subjects. The following are the results: Significant differences of skin temperature appeared in the parts of epigastrium (thin/normal>obese), anterior forearm (normal>thin/obese), and anterior leg (obese > thin/normal) as well as mean skin temperature. Mean skin temperature temporarily dropped owing to the exercise but tended to recover as time went by. Skin temperature of normal/thin shows higher than obese type. The change of skin temperature was noticed in the order of forehead > epigastrium > anterior forearm > anterior leg > anterior thigh (obese type) ; epigastrium > forehead > anterior forearm > anterior thigh > anterior leg (normal type) ; epigastrium > forehead > anterior forearm > anterior thigh > anterior leg (thin type, before and after exercise); epigastrium > forehead > anterior forearm > anterior leg > anterior thigh (thin type, during exercise). Significant differences were shown in the temperature change inside clothes according to somatotypes. No significant differences were revealed in thermal sensation, moisture sensation, and comfortable sensation according to body types and time.
Purpose: The purpose of this study was to identify the factors that affect body temperature in elderly operation patients using a warming method and to examine differences in post operative body temperature by characteristics of the patients. Methods: Data were collected from 200 patients, aged 65 years or more undergoing surgery with a warming method. The data were analyzed using descriptive statistics, t-test, ANOVA, Scheffe's test and multiple regression with the SPSS 18.0 Program. Results: The mean score for body temperature of elderly operation patients using a warming method after surgery was $36.1{\pm}0.6^{\circ}C$ including 74 patients with hypothermia and 126 patients with normal body temperature. The body temperature according to general characteristics differed by age and whether the surgery was emergency surgery or not. The body temperature according to surgery-related factors differed by anesthesia type, length of operation, anesthesia time, magnitude of surgical procedure, amount of fluid, transfusion requirements, and preoperative body temperature. Factors influencing body temperature were age, BMI, transfusion requirements and preoperative body temperature. Conclusion: The results indicate that age, BMI, transfusion requirements and preoperative body temperature significantly influenced on body temperature after surgery. Thus preoperative body temperature needs to be maintained through pre-warming as a nursing intervention.
To develop an automatic detecting system of body temperature of dairy cattle while milking, measurement of the temperature of mammary skin using three thermometers attached into the lining of teat cup was carried out for 23 dairy cattle, whereas measurement of the temperature of milk while milking was also performed for 263 animals. For the latter experiment, three thermometers were attached at 10cm(left and right) and 20 cm away from an individual milk collector on the milk transporting hose. Taking the rectal temperature was accompanied all the time for the experiments. The measurement of the temperature of mammary skin using teat cup was successful for 11 of 23 dairy cattle(47.8%) and the mean temperature was $33.5^{\circ}C$ with the mean difference of $5.2^{\circ}C$ from the mean rectal temperature. The measurement of the temperature of milk using the thermometers onto the milk transporting hose while milking was very successful , From 37.3 to $38.4^{\circ}C$ of rectal temperature, the temperature of milk was almost the same and from 38.5 to $39.5^{\circ}C$ of rectal temperature, the temperature of milk tended to be low with the difference of 0.1$^{\circ}C$. From 39.6 to $41^{\circ}C$ of rectal temperature, the temperature of milk tended to be low with the difference of $0.2-0.6^{\circ}C$. These results indicated that automatic detection of body temperature whether low or high can be possible if the temperature of milk is taken while milking and if it is connected to the integration system by on-line.
Flap monitoring is important for flap salvage. Although there are many methods to observe the flap, practical methods mostly used are subjective methods. Recording flap surface temperature is one of the objective methods of flap monitoring. We used an infra-red thermometer to simplify monitoring of the flap temperature. 60 groin flaps of SD rats are used in the experiment. Artificial arterial or venous insufficiency was made and the surface temperature was checked and compared with body temperature. In the results, the temperature of the arterial clamped flaps was lower than that of body and the mean difference was $0.3^{\circ}C$ after 20 minutes of clamping. In the vein-clamped flaps, the mean decrease was $0.4^{\circ}C$ after 30 minutes of clamping. The all difference of the temperature between the flaps and body was statistically significant. Our results suggest that flap monitoring by infra-red thermometer is simple, useful and helpful to evaluate the flap status.
Purpose: This study compared the effects of forced air warming and radiant heating on body temperature and shivering of patients with postoperative hypothermia. Methods: The quasi-experimental study was conducted with two experimental groups who had surgery under general anesthesia; 20 patients of group 1 experimented with the Bair Hugger as a forced air warming and 20 patients of group 2 experimented with the Radiant heater. The study was performed from July 3 to August 31, 2006 in a recovery room of an university hospital in a city. The effects of the experiment were measured by postoperative body temperature and chilling score at arrival and after every 10 minutes. The data were analyzed by t-test or ${\chi}^2$-test, repeated measures ANCOVA using SPSS/WIN 12.0. Results: The mean body temperature showed differences between the Bair Hugger group and Radiant Heater group at 40 minutes(F=-2.579, p=.034), 50minutes(F=-2.752, p=.027), and 60 minutes(F=-2.470, p=.047) after arrival to the recovery room. So, hypothesis 1 was partially accepted. The mean score of shivering showed differences between the Bair Hugger group and the Radiant Heater group, but it had no significant meaning. Hypothesis 2 was not accepted. Conclusion: We need more study to explore the effects and side effects of heating modalities to select a more effective heat treatment. The efficiency of heat modalities with regards to cost benefit, time consumption, and patients' discomfort such as burns should be considered.
This study was conducted to find the shortest optimum time for taking oral temperature and axillary temperature, which does not affect reliability of body temperature. For this purpose, first, the time at which all the samples are reaching maximum temperature is identified Second, the mean maximum temperature is compared with the mean temperature of each consecutive measurement by T-test to find the time at which no significant changes in temperature occurs along time sequence. Third, optimum temperatures are set at points of -0.2℉, -0.4℉, -0.6℉, -0.8℉, -1.0℉, -1.2℉, -1.4℉, from maximum temperature. A point of time at which 90% of samples reach at optimum temperature is identified and defined as optimum time. The study sample, a total of 164 cases were divided into two groups according to their measured body temperature. The group with body temperature below 37 $^{\circ}C$(A group) and above 37$^{\circ}$1'C (B group) were compared on the time required to reach maximum temperature and optimum temperature. The results are as follow. 1. The time required for total sample to reach maximum temperature was 13 minutes in both groups by oral method, 15 minutes in A group and 13 minutes in B group by axillary method. Time required for 90 % of cases reach maximum temperature by oral method was 10 minutes in both group. By axillary method, 12 minutes in A group. (Ref: table 2) 2. Statistical analysis by means of T-test, the time which does not show a significant change by oral method were 12 minutes in A group and 11 minutes in B group, and by axillary method 14 minutes in A group and 11 minutes in B group. (Ref: table 5, 6.) 3. Where optimum temperature was defined as maximum temperature minus 0.2 ℉, optimum time was found 8 minutes in both groups by oral method, and 11 minutes in A group and 9 minutes in B group by axillary method 4. Where optimum temperature was defined as maximum temperature minus 0.4 ℉, optimum time was found 7 minutes in A group and 6 minutes in B group by oral method, and 9 minutes in A group and 7 minutes in B group by axillary method 5. Where optimum temperature was defined as maximum temperature minus 0.8 ℉, optimum time was found 6 minutes in A group and 6 minutes in B group by axillary method (Ref: table 7, 8, 9, 10) 6. The commonly practiced temperature taking time, 3 minutes in oral method and 5 minutes in axillary method can be accepted as pertinent when physiological variation of body temperature at the mean level of -1, 2 ℉ is accepted. 7. The difference in time required to resister maximum temperature was compared between the group with body temperature below 37$^{\circ}C$ and above 37$^{\circ}$1'C, and found no significant difference in oral mettled and 1 - 4 minute difference in axillary method with shorter time requirement in feverish group.
The actual clothing conditions were surveyed to diagnose clothing condition of Korean female in the view point of the adaptation to the thermal environment according to seasonal changes. Then, clothing microclimate, physiological responses, and subjective sensation were investigated through wearing trials on human body in climatic chamber based on the results from the survey. Factors to evaluate validity of clothing condition were clothing weight, clothing microclimate, physiological response of human body, and subjective sensation. The results were as follows: 1. Clothing weight per body surface area of the season was $856g/m^{2}$, $439g/m^{2}$ in summer, $630g/m^{2}$ in fall, and $1184g/m^{2}$ in winter. Cold - resistance of Korean female in office was superior to Japanese, inferior to residents of rural areas of Korea, and similar to male in office. However, in heat - resistance, female in office was inferior to residents of rural areas of Korea. 2. In spring, fall, winter, clothing microclimate temperature was a little higher than that in summer. Therefore, it was not a desirable wearing condition even though the clothing microclimate was comfortable zone. 3. Mean skin temperature of female in office was including within the range of Winslow's comfortable zone, but the range of comfortable zone in mean skin temperature of female was more narrow than Winslow's. Thus, it has problem for female to adaptation to thermal environment.
The following are the results from the infrared body temperature image test to verify the changes in facial temperature according to call duration with a cellular phone. As for the body temperatures, it appears to be the mean value at the upper central point of phone's battery among 7 different points that are measured, and to be the highest at srernocleido-mastoid and scapular trapezius muscle triangle zone$(34.25^{\circ}C\; and\;34.05^{\circ}C\;each)$. The changes of body temperature according to the time duration shows that the body temperature rises according to the length of phone use because of the heat emitted from the battery. As for the temperature changes according to blocking materials, the one without processing appears to be higher in the mean temperature compared to the others that are processed, NSS(Nano Silver Silk) and NSG(Nano Silver Silk Gold) appear to be the lowest in the temperature to show the best blocking property. As for the temperature changes according to measuring points, it appears to be the highest at P4, P5 with all materials, and one with NSG to be the lowest at Pl, P2, P3, and one with NSS to be the lowest at P3, P4, P5, P6, which is due to the thermal conduction of Au and Ag. And the mean temperature at each point appears to be different according to the materials. Therefore, the study conducted with human participants requires a proper particle size of it which would not penetrate cellular tissues and a proper binder and binding treatment for it, to prevent the physical fatigues and the potential diseases. However, it is highly required for back-up researches to verify various aspects in applying nano silver to textile products.
Kim, Dae Hyun;Ha, Jae Jung;Yi, Jun Koo;Kim, Byung Ki;Kwon, Woo-Sung;Ye, Bong-Hae;Kim, Seung Ho;Lee, Yoonseok
한국동물생명공학회지
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제36권1호
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pp.45-50
/
2021
In recent years, various methods of measuring body temperature have been developed using wireless biosensors to facilitate an early detection of pregnancy and parturition in cows. However, there are no studies on real-time monitoring of cattle body temperature throughout pregnancy. Therefore, we investigated the daily mean ruminal temperature in pregnant cows throughout pregnancy using a ruminal bio-capsule sensor and then evaluated the temperature variation between pregnant and non-pregnant cows. In pregnant cows, the mean and standard deviation of ruminal temperature was 38.86 ± 0.17℃. Ruminal temperature in pregnant cows slowly decreased until 180 to 190 days after artificial insemination and after that, the temperature increased dramatically until just before parturition. Furthermore, the means ruminal temperature was significantly different between pregnant and nonpregnant cows. The mean and standard deviation of ruminal temperature were as follows: 38.68 ± 0.01℃ from days 80 to 100, 38.78 ± 0.02℃ from days 145 to 165, 38.99 ± 0.45℃ from days 200 to 220, 39.14 ± 0.38℃ from days 250 to 270 before parturition. Therefore, our results could provide useful data for early detection of pregnancy and parturition in Korean cows.
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