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Journal articles on the topic 'Body temperature'

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Published: 4 June 2021
Last updated: 30 July 2024

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1

Garami, András, and Miklós Székely. "Body temperature." Temperature 1, no. 1 (May 6, 2014): 28–29. http://dx.doi.org/10.4161/temp.29060.

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2

Jones, W. D. "Taking body temperature, inside out [body temperature monitoring]." IEEE Spectrum 43, no. 1 (January 2006): 13–15. http://dx.doi.org/10.1109/mspec.2006.1572338.

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3

Holtzclaw, Barbara J. "Monitoring Body Temperature." AACN Advanced Critical Care 4, no. 1 (February 1, 1993): 44–55. http://dx.doi.org/10.4037/15597768-1993-1005.

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Vigilant and accurate assessment of thermal balance is imperative with the critically ill. Disease, injury, or pharmacologic activity can impair thermoregulation, leaving patients vulnerable to uncontrolled gain or loss of heat. Body temperature provides cues to onset of infection, inflammation, and antigenic responses, as well as indicating efficacy of treatment. With knowledge of heat transfer principles, physiologic processes that distribute body heat, and principles of thermometry, the nurse is better equipped to make reasoned clinical judgment about this important vital sign. Choices of instruments or measurement sites are influenced by needs to estimate either hypothalamic temperature or shifts in body heat. Need for continuous versus episodic assessment, availability or intrusiveness of equipment, and stability of the patient also influence choices. Monitoring devices, measurement sites and techniques, equipment limitations and precautions are discussed. Interpretation and application of assessment findings are presented as they relate to abnormally high or low temperatures, patterns of fever, and temperature gradients
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4

Frank, Steven M. "BODY TEMPERATURE MONITORING." Anesthesiology Clinics of North America 12, no. 3 (September 1994): 387–407. http://dx.doi.org/10.1016/s0889-8537(21)00684-2.

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5

Archer, Emma. "Maintaining body temperature." Veterinary Nursing Journal 22, no. 3 (March 2007): 16–20. http://dx.doi.org/10.1080/17415349.2007.11013562.

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6

HOLTZCLAW, BARBARA J. "Monitoring Body Temperature." AACN Clinical Issues: Advanced Practice in Acute and Critical Care 4, no. 1 (February 1993): 44–55. http://dx.doi.org/10.1097/00044067-199302000-00005.

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7

Togawa, T. "Body temperature measurement." Clinical Physics and Physiological Measurement 6, no. 2 (May 1985): 83–108. http://dx.doi.org/10.1088/0143-0815/6/2/001.

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8

Hirschmann, J. V. "Normal body temperature." JAMA: The Journal of the American Medical Association 267, no. 3 (January 15, 1992): 414b—414. http://dx.doi.org/10.1001/jama.267.3.414b.

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9

Frim, J., S. D. Livingstone, L. D. Reed, R. W. Nolan, and R. E. Limmer. "Body composition and skin temperature variation." Journal of Applied Physiology 68, no. 2 (February 1, 1990): 540–43. http://dx.doi.org/10.1152/jappl.1990.68.2.540.

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Temperature variations near four common torso skin temperature sites were measured on 17 lightly clad subjects exposed to ambient temperatures of 28, 23, and 18 degrees C. Although variations in skin temperature exceeding 7 degrees C over a distance of 5 cm were observed on individuals, the mean magnitude of these variations was 2-3 degrees C under the coolest condition and less at the warmer temperatures. There was no correlation between the temperature variation and skinfold thickness at a site or with estimations of whole body fat content. These findings imply that errors in mean skin temperature measurement could arise from probe mislocation and/or subcutaneous fat distribution and that the problem becomes more acute with increasing cold stress. However, the magnitudes of these errors cannot be easily predicted from common anthropometric measurements.
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10

McMaster, Megan K., and Colleen T. Downs. "Thermal variability in body temperature in an ectotherm: Are cloacal temperatures good indicators of tortoise body temperature?" Journal of Thermal Biology 38, no. 4 (May 2013): 163–68. http://dx.doi.org/10.1016/j.jtherbio.2013.02.002.

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11

Mahadeva, Mohan Kumar Ramaiah, and Nataraj Madagondapalli Srinivasan. "Effect of Epidural Labour Analgesia on Maternal Body Temperature." Indian Journal of Anesthesia and Analgesia 5, no. 2 (2018): 230–34. http://dx.doi.org/10.21088/ijaa.2349.8471.5218.13.

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12

Chen, Anming, Jia Zhu, Qunxiong Lin, and Weiqiang Liu. "A Comparative Study of Forehead Temperature and Core Body Temperature under Varying Ambient Temperature Conditions." International Journal of Environmental Research and Public Health 19, no. 23 (November 29, 2022): 15883. http://dx.doi.org/10.3390/ijerph192315883.

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When the ambient temperature, in which a person is situated, fluctuates, the body’s surface temperature will alter proportionally. However, the body’s core temperature will remain relatively steady. Consequently, using body surface temperature to characterize the core body temperature of the human body in varied situations is still highly inaccurate. This research aims to investigate and establish the link between human body surface temperature and core body temperature in a variety of ambient conditions, as well as the associated conversion curves. Methods: Plan an experiment to measure temperature over a thousand times in order to get the corresponding data for human forehead, axillary, and oral temperatures at varying ambient temperatures (14–32 °C). Utilize the axillary and oral temperatures as the core body temperature standards or the control group to investigate the new approach’s accuracy, sensitivity, and specificity for detecting fever/non-fever conditions and the forehead temperature as the experimental group. Analyze the statistical connection, data correlation, and agreement between the forehead temperature and the core body temperature. Results: A total of 1080 tests measuring body temperature were conducted on healthy adults. The average axillary temperature was (36.7 ± 0.41) °C, the average oral temperature was (36.7 ± 0.33) °C, and the average forehead temperature was (36.2 ± 0.30) °C as a result of the shift in ambient temperature. The forehead temperature was 0.5 °C lower than the average of the axillary and oral temperatures. The Pearson correlation coefficient between axillary and oral temperatures was 0.41 (95% CI, 0.28–0.52), between axillary and forehead temperatures was 0.07 (95% CI, −0.07–0.22), and between oral and forehead temperatures was 0.26 (95% CI, 0.11–0.39). The mean differences between the axillary temperature and the oral temperature, the oral temperature and the forehead temperature, and the axillary temperature and the forehead temperature were −0.08 °C, 0.49 °C, and 0.42 °C, respectively, according to a Bland-Altman analysis. Finally, the regression analysis revealed that there was a linear association between the axillary temperature and the forehead temperature, as well as the oral temperature and the forehead temperature due to the change in ambient temperature. Conclusion: The changes in ambient temperature have a substantial impact on the temperature of the forehead. There are significant differences between the forehead and axillary temperatures, as well as the forehead and oral temperatures, when the ambient temperature is low. As the ambient temperature rises, the forehead temperature tends to progressively converge with the axillary and oral temperatures. In clinical or daily applications, it is not advised to utilize the forehead temperature derived from an uncorrected infrared thermometer as the foundation for a body temperature screening in public venues such as hospital outpatient clinics, shopping malls, airports, and train stations.
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13

Bissonnette, Bruno. "Body Temperature and Anesthesia." Anesthesiology Clinics of North America 9, no. 4 (December 1991): 849–64. http://dx.doi.org/10.1016/s0889-8537(21)00490-9.

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14

Gould, Dinah. "Controlling patients' body temperature." Nursing Standard 8, no. 35 (May 25, 1994): 29–31. http://dx.doi.org/10.7748/ns.8.35.29.s40.

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15

Barron, Mary Lee, and Richard J. Fehring. "Basal Body Temperature Assessment." MCN, The American Journal of Maternal/Child Nursing 30, no. 5 (September 2005): 290–96. http://dx.doi.org/10.1097/00005721-200509000-00004.

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16

Zuck, D. "HMEs and body temperature." Anaesthesia 45, no. 11 (November 1990): 991–92. http://dx.doi.org/10.1111/j.1365-2044.1990.tb14655.x.

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17

ANWAR, Z., and F. CARLI. "PREMEDICATION AND BODY TEMPERATURE." British Journal of Anaesthesia 58, no. 10 (October 1986): 1204–5. http://dx.doi.org/10.1093/bja/58.10.1204-b.

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18

IMRIE, M. M., and G. M. HALL. "BODY TEMPERATURE AND ANAESTHESIA." British Journal of Anaesthesia 64, no. 3 (March 1990): 346–54. http://dx.doi.org/10.1093/bja/64.3.346.

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ENGLISH, M. J. M., and W. A. C. SCOTT. "BODY TEMPERATURE AND ANAESTHESIA." British Journal of Anaesthesia 65, no. 3 (September 1990): 438–39. http://dx.doi.org/10.1093/bja/65.3.438-a.

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IMRIE, M. M., and G. M. HALL. "BODY TEMPERATURE AND ANAESTHESIA." British Journal of Anaesthesia 65, no. 3 (September 1990): 439–40. http://dx.doi.org/10.1093/bja/65.3.439.

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21

Prinzinger, R., A. Preßmar, and E. Schleucher. "Body temperature in birds." Comparative Biochemistry and Physiology Part A: Physiology 99, no. 4 (January 1991): 499–506. http://dx.doi.org/10.1016/0300-9629(91)90122-s.

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22

Eichner, E. Randy. "Body Temperature and Performance." Current Sports Medicine Reports 9, no. 2 (March 2010): 68–69. http://dx.doi.org/10.1249/jsr.0b013e3181d40804.

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23

Feeley, Thomas W. "Extremes of Body Temperature." Journal of Intensive Care Medicine 1, no. 5 (September 1986): 244–45. http://dx.doi.org/10.1177/088506668600100503.

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24

Artmann, G. M., Ilya Digel, K. F. Zerlin, Ch Maggakis-Kelemen, Pt Linder, D. Porst, P. Kayser, A. M. Stadler, G. Dikta, and A. Temiz Artmann. "Hemoglobin senses body temperature." European Biophysics Journal 38, no. 5 (February 24, 2009): 589–600. http://dx.doi.org/10.1007/s00249-009-0410-8.

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25

Richard Fevold, H. "Body temperature during hibernation." Trends in Biochemical Sciences 11, no. 12 (December 1986): 510. http://dx.doi.org/10.1016/0968-0004(86)90082-4.

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26

Martins, Fernando, and Franco Souza. "Body temperature of free-living freshwater turtles, Hydromedusa maximiliani (Testudines, Chelidae)." Amphibia-Reptilia 27, no. 3 (2006): 464–68. http://dx.doi.org/10.1163/156853806778189990.

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AbstractField body temperatures of the Maximilian's snake-necked turtle, Hydromedusa maximiliani, a small freshwater turtle species endemic to Atlantic rainforest mountainous regions in Brazil, were studied. Turtle body temperatures and water temperatures were significantly related, but turtle body temperature averaged 1°C higher than stream water temperature, this difference being statistically significant. A multivariate model revealed that only water temperature was significantly related to turtle body temperature while body size had no effect. There was no effect of sex and life stage on turtle body temperature, implying that water temperature was the main factor determining body temperatures. Thermoconformity was verified for all sampled individuals. The broad implications of these results are also discussed.
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27

Lenhardt, Rainer, and Daniel I. Sessler. "Estimation of Mean Body Temperature from Mean Skin and Core Temperature." Anesthesiology 105, no. 6 (December 1, 2006): 1117–21. http://dx.doi.org/10.1097/00000542-200612000-00011.

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Background Mean body temperature (MBT) is the mass-weighted average temperature of body tissues. Core temperature is easy to measure, but direct measurement of peripheral tissue temperature is painful and risky and requires complex calculations. Alternatively MBT can be estimated from core and mean skin temperatures with a formula proposed by Burton in 1935: MBT = 0.64 x TCore + 0.36 x TSkin. This formula remains widely used, but has not been validated in the perioperative period and seems unlikely to remain accurate in dynamic perioperative conditions such as cardiopulmonary bypass. Therefore, the authors tested the hypothesis that MBT, as estimated with Burton's formula, poorly estimates measured MBT at a temperature range between 18 degrees and 36.5 degrees C. Methods The authors reevaluated four of their previously published studies in which core and mass-weighted mean peripheral tissue temperatures were measured in patients undergoing substantial thermal perturbations. Peripheral compartment temperatures were estimated using fourth-order regression and integration over volume from 18 intramuscular needle thermocouples, 9 skin temperatures, and "deep" hand and foot temperature. MBT was determined from mass-weighted average of core and peripheral tissue temperatures and estimated from core temperature and mean skin temperature (15 area-weighted sites) using Burton's formula. Results Nine hundred thirteen data pairs from 44 study subjects were included in the analysis. Measured MBT ranged from 18 degrees to 36.5 degrees C. There was a remarkably good relation between measured and estimated MBT: MBTmeasured = 0.94 x MBTestimated + 2.15, r = 0.98. Differences between the estimated and measured values averaged -0.09 degrees +/- 0.42 degrees C. Conclusions The authors concluded that estimation of MBT from mean skin and core temperatures is generally accurate and precise.
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Gibert, Jean P., and John P. DeLong. "Temperature alters food web body-size structure." Biology Letters 10, no. 8 (August 2014): 20140473. http://dx.doi.org/10.1098/rsbl.2014.0473.

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The increased temperature associated with climate change may have important effects on body size and predator–prey interactions. The consequences of these effects for food web structure are unclear because the relationships between temperature and aspects of food web structure such as predator–prey body-size relationships are unknown. Here, we use the largest reported dataset for marine predator–prey interactions to assess how temperature affects predator–prey body-size relationships among different habitats ranging from the tropics to the poles. We found that prey size selection depends on predator body size, temperature and the interaction between the two. Our results indicate that (i) predator–prey body-size ratios decrease with predator size at below-average temperatures and increase with predator size at above-average temperatures, and (ii) that the effect of temperature on predator–prey body-size structure will be stronger at small and large body sizes and relatively weak at intermediate sizes. This systematic interaction may help to simplify forecasting the potentially complex consequences of warming on interaction strengths and food web stability.
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Kurosaka, Chie, Takashi Maruyama, Shimpei Yamada, Yuriko Hachiya, Yoichi Ueta, and Toshiaki Higashi. "Estimating core body temperature using electrocardiogram signals." PLOS ONE 17, no. 6 (June 28, 2022): e0270626. http://dx.doi.org/10.1371/journal.pone.0270626.

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Suppressing the elevation in core body temperature is an important factor in preventing heatstroke. However, there is still no non-invasive method to sense core body temperature. This study proposed an algorithm that estimates core body temperature based on electrocardiogram signals. A total of 12 healthy men (mean age ± SD = 39.6 ± 13.4) performed an ergometric exercise load test under two conditions of exercise load in an environmental chamber adjusted to a temperature of 35°C and humidity of 50%. Vital sensing data such as electrocardiograms, core body temperatures, and body surface temperatures were continuously measured, and physical data such as body weight were obtained from participants pre- and post-experiment. According to basic physiological knowledge, heart rate and body temperature are closely related. We analyzed the relationship between core body temperature and several indexes obtained from electrocardiograms and found that the amount of change in core body temperature had a strong relationship with analyzed data from electrocardiograms. Based on these findings, we developed the amount of change in core body temperature estimation model using multiple regression analysis including the Poincaré plot index of the ECG R-R interval. The estimation model showed an average estimation error of -0.007°C (average error rate = -0.02%) and an error range of 0.457–0.445°C. It is suggested that continuous core body temperature change can be estimated using electrocardiogram signals regardless of individual characteristics such as age and physique. Based on this applicable estimation model, we plan to enhance estimation accuracy and further verify efficacy by considering clothing and environmental conditions.
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Sato, Katsufumi, Yoshimasa Matsuzawa, Hideji Tanaka, Takeharu Bando, Shingo Minamikawa, Wataru Sakamoto, and Yasuhiko Naito. "Internesting intervals for loggerhead turtles, Caretta caretta, and green turtles, Chelonia mydas, are affected by temperature." Canadian Journal of Zoology 76, no. 9 (September 1, 1998): 1651–62. http://dx.doi.org/10.1139/z98-107.

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To investigate the influence of temperature on the length of internesting periods in loggerhead turtles (Caretta caretta) and green turtles (Chelonia mydas), body temperature and water temperature and depth for free-ranging turtles were monitored during internesting periods using micro data loggers. Body mass and clutch size were also measured. The experiments were conducted at nesting beaches in the Japanese archipelago from 1989 through 1996. Internesting interval was significantly negatively correlated with mean body temperature and mean water temperature. Internesting intervals for some turtles exceeded 21 d when they experienced low water temperatures. Arrhenius' equation was used to describe the quantitative relationships, and Q10 values of 3.1 for water temperature and 3.4 for body temperature were calculated. There was no significant relationship between either clutch size or body mass and internesting interval. Body temperatures were kept higher than water temperatures throughout internesting periods, and larger turtles showed a higher mean thermal difference between body temperature and water temperature. The internesting interval could be considered an egg-maturation period for the next oviposition. The rate of pre-ovipositional development of eggs seemed to be accelerated by high body temperature and decelerated by low body temperature.
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Midoh, Naoki, Miki Tokunaga, Takashi Isomura, and Takanori Noguchi. "Effect of Soup Temperature on Body Thermal Sensation, Body Temperature and Heart Rate." Nippon Shokuhin Kagaku Kogaku Kaishi 59, no. 6 (2012): 262–67. http://dx.doi.org/10.3136/nskkk.59.262.

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32

Göbel, S., D. Cysarz, and F. Edelhaeuser. "Water temperature affects heart rate and core body temperature during whole body immersion." European Journal of Integrative Medicine 1, no. 4 (December 2009): 256–57. http://dx.doi.org/10.1016/j.eujim.2009.08.066.

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33

Smith, Geoffrey R., Royce E. Ballinger, and Justin D. Congdon. "Thermal ecology of the high-altitude bunch grass lizard, Sceloporus scalaris." Canadian Journal of Zoology 71, no. 11 (November 1, 1993): 2152–55. http://dx.doi.org/10.1139/z93-302.

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The thermal ecology of a high-altitude lizard, Sceloporus scalaris, was investigated in the Chiricahua Mountains of southeastern Arizona, where the lizards are active on sunny days throughout the year. Mean body temperature was 32.6 °C (range 12.6–39 °C) and mean air temperature was 20.2 °C (range 5.2–36.4 °C). The slope of the body temperature versus air temperature regression was 0.23. Monthly differences in body temperature were observed, with the highest body temperatures observed in early summer. Lizards at three study sites with differing slope and vegetative cover had different mean body temperatures. Males had higher body temperatures than both nongravid and gravid females. Maintenance of elevated body temperatures even during winter lengthens the activity and growing season, permitting early maturity with potentially important life-history consequences.
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Hews, Sarah, Zahkeyah Allen, Adrienne Baxter, Jacquline Rich, Zahida Sheikh, Kayla Taylor, Jenny Wu, Heidi Zakoul, and Renae Brodie. "Field-based body temperatures reveal behavioral thermoregulation strategies of the Atlantic marsh fiddler crab Minuca pugnax." PLOS ONE 16, no. 1 (January 6, 2021): e0244458. http://dx.doi.org/10.1371/journal.pone.0244458.

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Behavioral thermoregulation is an important defense against the negative impacts of climate change for ectotherms. In this study we examined the use of burrows by a common intertidal crab, Minuca pugnax, to control body temperature. To understand how body temperatures respond to changes in the surface temperature and explore how efficiently crabs exploit the cooling potential of burrows to thermoregulate, we measured body, surface, and burrow temperatures during low tide on Sapelo Island, GA in March, May, August, and September of 2019. We found that an increase in 1°C in the surface temperature led to a 0.70-0.71°C increase in body temperature for females and an increase in 0.75-0.77°C in body temperature for males. Body temperatures of small females were 0.3°C warmer than large females for the same surface temperature. Female crabs used burrows more efficiently for thermoregulation compared to the males. Specifically, an increase of 1°C in the cooling capacity (the difference between the burrow temperature and the surface temperature) led to an increase of 0.42-0.50°C for females and 0.34-0.35°C for males in the thermoregulation capacity (the difference between body temperature and surface temperature). The body temperature that crabs began to use burrows to thermoregulate was estimated to be around 24°C, which is far below the critical body temperatures that could lead to death. Many crabs experience body temperatures of 24°C early in the reproductive season, several months before the hottest days of the year. Because the use of burrows involves fitness trade-offs, these results suggest that warming temperatures could begin to impact crabs far earlier in the year than expected.
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Brown, Gregory P., Ronald J. Brooks, and James A. Layfield. "Radiotelemetry of body temperatures of free-ranging snapping turtles (Chelydra serpentina) during summer." Canadian Journal of Zoology 68, no. 8 (August 1, 1990): 1659–63. http://dx.doi.org/10.1139/z90-246.

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We wished to determine whether free-ranging snapping turtles (Chelydra serpentina) would use aquatic and atmospheric basking to maintain body temperature at the mean temperature (28–30 °C) selected by snapping turtles placed in a controlled aquatic thermal gradient. Body temperatures from eight adult snapping turtles in three different lakes in Algonquin Provincial Park were monitored by radiotelemetry during July and August 1987. Mean body temperature of all eight turtles over the study period was 22.7 °C, and mean temperature of every individual was well below the reported mean selected temperature for this species. The turtles did not maintain body temperatures near the available maximum environmental temperature. The mean body temperatures of the turtles were not significantly different among the three study lakes although these lakes had different physical characteristics. Similarly, there were no significant differences, among individual turtles, between air temperatures or operative environmental temperatures recorded concurrently with their body temperatures Nevertheless, mean body temperatures differed significantly among individuals; foraging tactics, metabolic rates, and home range structure may account for these differences.
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ALLAN DEGEN, A., and B. A. YOUNG. "Effect of air temperature and energy intake on body mass, body composition and energy requirements in sheep." Journal of Agricultural Science 138, no. 2 (March 2002): 221–26. http://dx.doi.org/10.1017/s0021859601001812.

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Body mass was measured and body composition and energy requirements were estimated in sheep at four air temperatures (0 °C to 30 °C) and at four levels of energy offered (4715 to 11785 kJ/day) at a time when the sheep reached a constant body mass. Final body mass was affected mainly by metabolizable energy intake and, to a lesser extent, by air temperature, whereas maintenance requirements were affected mainly by air temperature. Mean energy requirements were similar and lowest at 20 °C and 30 °C (407·5 and 410·5 kJ/kg0·75, respectively) and increased with a decrease in air temperature (528·8 kJ/kg0·75 at 10 °C and 713·3 kJ/kg0·75 at 0 °C). Absolute total body water volume was related positively to metabolizable energy intake and to air temperature. Absolute fat, protein and ash contents were all affected positively by metabolizable energy intake and tended to be related positively to air temperature. In proportion to body mass, total body water volume decreased with an increase in metabolizable energy intake and with an increase in air temperature. Proportionate fat content increased with an increase in metabolizable energy intake and tended to increase with an increase in air temperature. In contrast, proportionate protein content decreased with an increase in metabolizable energy intake and tended to decrease with an increase in air temperature. In all cases, the multiple linear regression using both air temperature and metabolizable energy intake improved the fit over the simple linear regressions of either air temperature or metabolizable energy intake and lowered the standard error of the estimate. The fit was further improved and the standard error of the estimate was further lowered using a polynomial model with both independent variables to fit the data, since there was little change in the measurements between 20 °C and 30 °C, as both air temperatures were most likely within the thermal neutral zone of the sheep. It was concluded that total body energy content, total body water volume, fat and protein content of sheep of the same body mass differed or tended to differ when kept at different air temperatures.
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Kuzubasoglu, Burcu Arman, Ersin Sayar, Cedric Cochrane, Vladan Koncar, and Senem Kursun Bahadir. "Wearable temperature sensor for human body temperature detection." Journal of Materials Science: Materials in Electronics 32, no. 4 (January 11, 2021): 4784–97. http://dx.doi.org/10.1007/s10854-020-05217-2.

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38

Greenes, David S., and Gary R. Fleisher. "When body temperature changes, does rectal temperature lag?" Journal of Pediatrics 144, no. 6 (June 2004): 824–26. http://dx.doi.org/10.1016/j.jpeds.2004.02.037.

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Stockman, J. A. "When Body Temperature Changes, Does Rectal Temperature Lag?" Yearbook of Pediatrics 2006 (January 2006): 509–10. http://dx.doi.org/10.1016/s0084-3954(07)70293-2.

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40

Husain, Muhammad Dawood, Shenela Naqvi, Ozgur Atalay, Syed Talha Ali Hamdani, and Richard Kennon. "Measuring Human Body Temperature through Temperature Sensing Fabric." AATCC Journal of Research 3, no. 4 (July 1, 2016): 1–12. http://dx.doi.org/10.14504/ajr.3.4.1.

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41

Cheng, Tina L., and J. Colin Partridge. "Effect of Bundling and High Environmental Temperature on Neonatal Body Temperature." Pediatrics 92, no. 2 (August 1, 1993): 238–40. http://dx.doi.org/10.1542/peds.92.2.238.

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Objective. The effect of bundling and ambient heat on newborn body temperature has not been systematically studied. It was hypothesized that bundling and warm environments can elevate the newborn's temperatures to the range that would prompt clinical concern of neonatal sepsis. Methods. Twenty well, term newborns more than 1 day old were assigned to the control group (one blanket; 24.0°C room) or the experimental group (five blankets and hat; 26.6°C room). Continuous rectal probe temperatures were monitored over a 2½hour period. Results. There were 8 control and 12 experimental newborns. The mean change in rectal temperature after 2½ hours was -0.04°C (SD ± 0.23) in control newborns and + 0.56°C (SD ± 0.12) in the treatment group (P < .0001, t test). Temperatures in the treatment group rose, after an initial half-hour lag, at a linear rate of 0.27°C per hour without a plateau. Two newborns reached 38.0°C, a rectal temperature that may raise concern of infection. Conclusions. Bundling and warm environments can elevate newborn body temperature to the "febrile" range in this age group. Physicians treating neonates with elevated temperature should ask about bundling and environmental conditions to differentiate endogenous from exogenous "fevers."
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Rising, R., A. Keys, E. Ravussin, and C. Bogardus. "Concomitant interindividual variation in body temperature and metabolic rate." American Journal of Physiology-Endocrinology and Metabolism 263, no. 4 (October 1, 1992): E730—E734. http://dx.doi.org/10.1152/ajpendo.1992.263.4.e730.

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There is significant variation in metabolic rate in humans, independent of differences in body size, body composition, age, and gender. Although it has been generally held that the normal human "set-point" body temperature is 37 degrees C, these interindividual variations in metabolic rate also suggest possible variations in body temperature. To examine the possibility of correlations between metabolic rate and body temperature, triplicate measurements of oral temperatures were made before and after measurement of 24-h energy expenditure in a respiratory chamber in 23 Pima Indian men. Fasting oral temperatures varied more between individuals than can be attributed to methodological errors or intraindividual variation. Oral temperatures correlated with sleeping (r = 0.80, P < 0.0001), and 24-h (r = 0.48, P < 0.02) metabolic rates adjusted for differences in body size, body composition, and age. Similarly, in the 32 Caucasian men of the Minnesota Semi-Starvation Study, oral temperature correlated with adjusted metabolic rate, and the interindividual differences in body temperature were maintained throughout semistarvation and refeeding. These results suggest that a low body temperature and a low metabolic rate might be two signs of an obesity-prone syndrome in humans.
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Oro, Daniel, and Lídia Freixas. "Flickering body temperature anticipates criticality in hibernation dynamics." Royal Society Open Science 8, no. 1 (January 13, 2021): 201571. http://dx.doi.org/10.1098/rsos.201571.

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Hibernation has been selected for increasing survival in harsh climatic environments. Seasonal variability in temperature may push the body temperatures of hibernating animals across boundaries of alternative states between euthermic temperature and torpor temperature, typical of either hibernation or summer dormancy. Nowadays, wearable electronics present a promising avenue to assess the occurrence of criticality in physiological systems, such as body temperature fluctuating between attractors of activity and hibernation. For this purpose, we deployed temperature loggers on two hibernating edible dormice for an entire year and under Mediterranean climate conditions. Highly stochastic body temperatures with sudden switches over time allowed us to assess the reliability of statistical leading indicators to anticipate tipping points when approaching a critical transition. Hibernation dynamics showed flickering, a phenomenon occurring when a system rapidly moves back and forth between two alternative attractors preceding the upcoming major regime shift. Flickering of body temperature increased when the system approached bifurcations, which were also anticipated by several metric- and model-based statistical indicators. Nevertheless, some indicators did not show a pattern in their response, which suggests that their performance varies with the dynamics of the biological system studied. Gradual changes in air temperature drove transient between states of hibernation and activity, and also drove hysteresis. For hibernating animals, hysteresis may increase resilience when ending hibernation earlier than the optimal time, which may occur in regions where temperatures are sharply rising, especially during winter. Temporal changes in early indicators of critical transitions in hibernation dynamics may help to understand the effects of climate on evolutionary life histories and the plasticity of hibernating organisms to cope with shortened hibernation due to global warming.
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Audet, Doris, and Donald W. Thomas. "Evaluation of the accuracy of body temperature measurement using external radio transmitters." Canadian Journal of Zoology 74, no. 9 (September 1, 1996): 1778–81. http://dx.doi.org/10.1139/z96-196.

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The facultative depression of body temperature represents an important energy strategy for small homeotherms. However, measuring body temperature under field conditions by means other than externally attached temperature-sensitive radio transmitters is problematical. We show that skin temperatures measured by external radio transmitters can accurately reflect core temperature for the bat Carollia perspicillata. We compared body and skin temperatures at three ambient temperatures (Ta; 21, 26, and 31 °C). The difference between skin and body temperature (ΔT) was linearly correlated with Ta and can be predicted by ΔT = 4.396 − 0.118Ta. We argue that external temperature-sensitive radio transmitters can provide a reliable index of core temperature and so permit the study of torpor or facultative hypothermia under field conditions.
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Heikens, Marc J., Alexander M. Gorbach, Henry S. Eden, David M. Savastano, Kong Y. Chen, Monica C. Skarulis, and Jack A. Yanovski. "Core body temperature in obesity." American Journal of Clinical Nutrition 93, no. 5 (March 2, 2011): 963–67. http://dx.doi.org/10.3945/ajcn.110.006270.

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46

Watson, Roger. "Controlling body temperature in adults." Nursing Standard 12, no. 20 (February 4, 1998): 49–55. http://dx.doi.org/10.7748/ns.12.20.49.s55.

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Kikuchi, Hirosato. "Body temperature rise with rhabdomyolysis." Nihon Shuchu Chiryo Igakukai zasshi 17, no. 2 (2010): 139–41. http://dx.doi.org/10.3918/jsicm.17.139.

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CEROFOLINI, G. F. "Body temperature of homoiothermic animals." Nature 325, no. 6105 (February 1987): 582. http://dx.doi.org/10.1038/325582c0.

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Aldenderfer, Mark. "Temporal changes in body temperature." Science 370, no. 6516 (October 29, 2020): 543.8–544. http://dx.doi.org/10.1126/science.370.6516.543-h.

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Takagi, Kiyoshi. "Body Temperature in Acute Stroke." Stroke 33, no. 9 (September 2002): 2154–55. http://dx.doi.org/10.1161/01.str.0000028803.70874.aa.

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