Measurement Of Body Temperature Research Articles

The effect of enriched versus depleted housing on eucalyptus smoke-induced cardiovascular dysfunction in mice.

Objectives: Living conditions play a major role in health and well-being, particularly for the cardiovascular and pulmonary systems. Depleted housing contributes to impairment and development of disease, but how it impacts body resiliency during exposure to environmental stressors is unknown. This study examined the effect of depleted (DH) versus enriched housing (EH) on cardiopulmonary function and subsequent responses to wildfire smoke. Materials and Methods: Two cohorts of healthy female mice, one of them surgically implanted with radiotelemeters for the measurement of electrocardiogram, body temperature (Tco) and activity, were housed in either DH or EH for 7 weeks. Telemetered mice were exposed for 1 h to filtered air (FA) and then flaming eucalyptus wildfire smoke (WS) while untelemetered mice, which were used for ventilatory assessment and tissue collection, were exposed to either FA or WS. Animals were continuously monitored for 5-7 days after exposure. Results: EH prevented a decrease in Tco after radiotelemetry surgery. EH mice also had significantly higher activity levels and lower heart rate during and after FA and WS. Moreover, EH caused a decreased number of cardiac arrhythmias during WS. WS caused ventilatory depression in DH mice but not EH mice. Housing enrichment also upregulated the expression of cardioprotective genes in the heart. Conclusions: The results of this study indicate that housing conditions impact overall health and cardiopulmonary function. More importantly, depleted housing appears to worsen the response to air pollution. Thus, non-chemical factors should be considered when assessing the susceptibility of populations, especially when it comes to extreme environmental events.

Effects of traditional and dry bed baths on patients admitted in intensive units: A randomized crossover clinical trial.

The bed bath is an important part of nursing care. There are few studies evaluating the effects of traditional and dry bed baths on patients. This study was performed with the aim of investigating the effect of traditional and dry bed baths given to intensive care unit patients on the patients' hemodynamic parameters, the duration of the bathing procedure and the cost of consumable items. This was a randomized crossover clinical trial and a prospective study. The study was conducted in a General Surgery Intensive Care Unit with 22 intensive care patients aged 18 and over, who had a nursing diagnosis of bathing personal care deficiency. Each patient was given two types of bed baths at an interval of 24 h: a traditional bed bath and a dry bed bath performed with single-use tissues. Immediately before each bath, in the 5th, 10th and 15th minute of bathing, immediately after bathing and 30 min after bathing, body temperature, heart rate, blood pressure, breathing rate and peripheral oxygen saturation measurement changes over time were compared within the group using the Friedman test. The Wilcoxon signed ranks test was used to compare the variables of bathing duration and bathing consumable item costs between the bathing procedures. It was found that at the completion of traditional and dry bed bathing, the participants' body temperature, blood pressure, heart rate and breathing rate parameters were statistically significantly lower than before bathing, whereas peripheral oxygen saturation values showed a significant increase (p < 0.05). It was found that the dry bed bath took a statistically significantly shorter time than the traditional bed bath and that the cost of consumable bathing materials was less (p < 0.05). It was concluded that traditional and dry bed baths given to intensive care patients affected their hemodynamic parameters and that the dry bed bath was superior to the traditional bed bath in that it took less time and that it cost less.

Association of Admission Temperature and Outcome among Neonates with Sepsis in a Tertiary Care Hospital

Background: Neonatal sepsis is a leading cause of mortality in the neonatal period, particularly in low- and middle-income countries. Temperature at admission may provide valuable prognostic information for managing critically ill neonates. Objective: This study aimed to determine the association between admission temperature and outcomes in neonates with sepsis, including mortality rates, length of hospital stay, and the requirement for intensive interventions. Methods: This descriptive cross-sectional study was conducted from July 2022 to February 2023 in the Department of Paediatrics, Combined Military Hospital, Kharian. A total of 170 neonates diagnosed with sepsis were enrolled using non-probability, consecutive sampling. Informed, written consent was obtained from parents or guardians. Temperature was recorded at admission using a mercury thermometer in the axilla. Hypothermia was defined as a body temperature &lt;36.5°C, hyperthermia as &gt;37.5°C, and normothermia as 36.5-37.5°C. Blood and urine samples were collected for culture. Data were analyzed using SPSS version 25. Quantitative variables were expressed as mean ± standard deviation or median with interquartile range, and qualitative variables as frequencies and percentages. Comparisons were made using Chi-square, Fisher’s exact test, ANOVA, and independent samples t-test, with a significance level of p ≤ 0.05. Results: Of the 170 neonates, 94 (55.3%) were male and 76 (44.7%) were female. Hypothermia was present in 50 (29.4%) neonates, normothermia in 35 (20.6%), and hyperthermia in 85 (50.0%). Blood culture positivity was highest in hyperthermic neonates (61.2%), followed by hypothermic (36.0%) and normothermic (17.1%) neonates (p &lt; 0.001). The mean length of hospital stay was 13.1 ± 4.1 days for hyperthermic neonates, 9.1 ± 2.3 days for hypothermic, and 6.3 ± 2.9 days for normothermic neonates (p &lt; 0.001). Mortality rates were 31.8% for hyperthermic neonates, 14.0% for hypothermic, and 5.7% for normothermic (p = 0.002). Conclusion: Admission temperature in neonates with sepsis is significantly associated with clinical outcomes. Hyperthermic neonates have higher mortality rates, increased blood culture positivity, and longer hospital stays compared to normothermic and hypothermic neonates. Measuring body temperature at admission can aid in risk stratification and management decisions.

Forecasting personal heat strain under extremely hot environments: Utilizing feature importance in machine learning

Since the frequency and intensity of heatwaves are expected to increase due to global warming, it is crucial to establish a simplified approach to preventing personal heat-related illnesses as occupational hazard under extremely hot environments, by taking into account individual differences in heat strain. In light of this, this study proposed a simplified forecast model for personal heat strain under extremely hot environments by utilizing feature importance in machine learning, focused on enhancing its field applicability. Using the 1417 records gathered from the experiments under extremely hot conditions, the simplified model was developed by utilizing four types of machine learning algorithms (i.e., random forest, extreme gradient boosting, support vector regression, and multi-layer perceptron). As a result, the proposed simplified models with four principal features (i.e., dry-bulb temperature, radiant temperature, relative humidity, and percentage body fat) were found to be the most reliable, resulting in a small difference of 0.047 °C compared to the reference model. Since the principal biometric features can be easily measured by a simple and low-cost body composition test (but not with the physical measurement of personal core body temperature) before they are put into the field, the proposed approach will aid in providing more systematic and efficient management system for proactively preventing personal heat-related illnesses. Furthermore, it is expected that the field applicability of the proposed approach can be continuously enhanced by utilizing the accumulated big data gathered from the field-based living-lab projects over a lengthy period.

Evaluating the Agreement between Oral, Armpit, and Ear Temperature Readings during Physical Activities in an Outdoor Setting.

Accurate body temperature measurement is essential for monitoring and managing safety during outdoor activities. Physical activities are an essential consideration for public health, with sports taking up an important proportion of these. Athletes' performances can be directly affected by body temperature fluctuations, with overheating or hypothermia posing serious health risks. Monitoring these temperatures allows coaches and medical staff to make decisions that enhance performance and safety. Traditional methods, like oral, axillary, and tympanic readings, are widely used, but face challenges during intense physical activities in real-world environments. This study evaluated the agreement, correlation, and interchangeability of oral, axillary, and tympanic temperature measurements in outdoor exercise conditions. Systems developed for specific placements might generate different sensor readouts. Conducted as an observational field study, it involved 21 adult participants (11 males and 10 females, average age 25.14 ± 5.80 years) that underwent the Yo-Yo intermittent recovery test protocol on an outdoor court. The main outcomes measured were the agreement and correlation between temperature readings from the three methods, both before and after exercise. The results indicate poor agreement between the measurement sites, with significant deviations observed post-exercise. Although the Spearman correlation coefficients showed consistent temperature changes post-exercise across all methods, the standard deviations in the pairwise comparisons exceeded 0.67 °C. This study concluded that widely used temperature measurement methods are challenging to use during outdoor exercises and should not be considered interchangeable. This variability, especially after exercise, underscores the need for further research using gold standard temperature measurement methods to determine the most suitable site for accurate readings. Care should thus be taken when temperature screening is done at scale using traditional methods, as each measurement site should be considered within its own right.

Effect of a preoperative evidence-based care education on postoperative recovery of cardiac surgery patients: A quasi-experimental study.

Preoperative nursing care affects many factors such as reducing the length of hospital stay of the patients in the perioperative period, the rate of postoperative complications, the duration of the operation, decrease of postoperative pain level and early mobilization. We aimed to determine the effect of preoperative evidence-based care education that given to cardiac surgery clinical nurses on the postoperative recovery of patients. The research was planned as quasi-experimental. Eighty-six patients who underwent cardiovascular surgery were divided into control and intervention groups. First, the ongoing preoperative care practices and patient recovery outcomes of the clinic were recorded for the control group data. Second, education was provided for the clinical nurses about the preoperative evidence-based care list, and a pilot application was implemented. Finally, the evidence-based care list was applied by the nurses to the intervention group, and its effects on patient outcomes were evaluated. The data were collected using the preoperative evidence-based care list, descriptive information form, intraoperative information form and postoperative patient evaluation form. The evidence-based care list was applied to the patients in the intervention group, with 100% adherence by the nurses. All pain level measurements in the intervention group were significantly lower in all measurements (p = .00). The body temperature measurements (two measurements) of the intervention group were higher (p = .00). The postoperative hospital stays of the control group and the intervention group were 11.21 ± 8.41 and 9.50 ± 3.61 days. The presented preoperative evidence-based care list can be used safely in nursing practices for patients. It provides effective normothermia, reduces the level of pain, shortens the hospital stay and reduces the number of postoperative complications. By applying a preoperative evidence-based care to patients undergoing cardiac surgery, pain levels, hospital stays and the number of complications decrease, and it is possible to maintain normothermia. An evidence-based care can be used to ensure rapid postoperative recovery for patients undergoing cardiac surgery.

Consumer wearables and personal devices for tracking the fertile window

The market for technology that tracks ovulation to promote conception is rapidly expanding in the United States, targeting the growing audience of technologically proficient, reproductive-age female consumers. In this narrative review, twenty-three different, non-prescription wearables and devices designed to help women track their fertile window were identified as currently, commercially available in the United States. The majority of these utilize measurements of basal body temperature or combinations of various urinary hormones. This clinical opinion characterizes the scant available research validating the accuracy of these technologies. It further examines research oversight, discusses the utility of these wearables and devices to consumers, and considers these technologies through an equity lens. The discussion concludes with a call for innovation, describing promising new technologies that not only harness unique physiologic parameters to predict ovulation, but also focus on cost-effectiveness with the hope of increasing access to these currently costly devices and wearables.

Wireless Patient Monitoring System with LoRa Communication for Remote Healthcare

This study presents a novel approach to remote healthcare through a wireless patient monitoring system using LoRa communication. The system consists of two main parts: a transmitter and receiver. The transmitter collects vital health data, such as body temperature, SpO2, accelerometer and gyroscope measurements, electrocardiogram (ECG) signals, air quality and heart rate. This information will be transmitted wirelessly using LoRa technology to the receiver section, which will transmit the data to the IoT cloud server. In addition, the receiver section is equipped with a GSM module to send an SMS alert in the event of abnormal health parameters. The aim of this system is to provide real-time monitoring of patients in remote areas, enabling timely interventions and improving accessibility to healthcare. The efficiency and reliability of the system make it a promising solution for remote patient monitoring in challenging environments.

Study of The Physiological Status of Horses Before and After Training in Anantya Riding Club

Background: The physiological status of a horse is an indicator of its health. Parameters that can be used to determine the health status of a horse include respiratory rate, heart rate, and body temperature. As the activity of a horse increases, its respiratory rate increases. By measuring respiratory rate, heart rate, and body temperature before and after training, changes in the physiological status of a horse can be determined. Purpose: This study aims to provide an overview of the physiological status of horses before and after training at Anantya Riding Club. Case: Physiological status of horses before and after training. Case Management: This study used a qualitative approach. Data on the physiological conditions of horses were collected before and after training. A digital thermometer was used to measure body temperature. A stethoscope was used to measure heart rate. Respiratory rate was measured by placing the back of the hand or the palm of the hand close to the horse's nose to feel its breath. These measurements were taken before and after training. Conclusion: This study concluded that the physiological status of horses after training showed an improvement. The average body temperatures of the horses before and after training were [37.6 ± 0.09]°C and [38.61 ± 0.03] °C, respectively. The average heart rates of the horses before and after training were 41.0 ± 2.4 beats/minute and 90.2 ± 3.5 beats/minute, respectively. Finally, the average respiratory rates of the horses before and after training exercise were 39.7 ± 3.0 breaths/minute and 101.2 ± 0.5 breaths/minute, respectively.

Methods to estimate body temperature and energy expenditure dynamics in fed and fasted laboratory mice: effects of sleep deprivation and light exposure.

Monitoring body temperature and energy expenditure in freely-moving laboratory mice remains a powerful methodology used widely across a variety of disciplines-including circadian biology, sleep research, metabolic phenotyping, and the study of body temperature regulation. Some of the most pronounced changes in body temperature are observed when small heterothermic species reduce their body temperature during daily torpor. Daily torpor is an energy saving strategy characterized by dramatic reductions in body temperature employed by mice and other species when challenged to meet energetic demands. Typical measurements used to describe daily torpor are the measurement of core body temperature and energy expenditure. These approaches can have drawbacks and developing alternatives for these techniques provides options that can be beneficial both from an animal-welfare and study-complexity perspective. First, this paper presents and assesses a method to estimate core body temperature based on measurements of subcutaneous body temperature, and second, a separate approach to better estimate energy expenditure during daily torpor based on core body temperature. Third, the effects of light exposure during the habitual dark phase and sleep deprivation during the light period on body temperature dynamics were tested preliminary in fed and fasted mice. Together, the here-published approaches and datasets can be used in the future to assess body temperature and metabolism in freely-moving laboratory mice.

Antibacterial therapy for acute streptococcal tonsillopharyngitis: results of a randomized comparative clinical trial with amoxicillin + clavulanic acid EXPRESS

Acute tonsillopharyngitis is one of the most common types of respiratory tract infections. In case of bacterial etiologies of the disease, penicillin antibiotics are prescribed, in particular amoxicillin + clavulanic acid. Dispersible forms of antibiotics have a number of advantages over film-coated tablets and are characterized by better pharmacokinetic parameters that increase the effectiveness and safety of treatment, as well as patient compliance. To compare the effectiveness and safety of Amoxicillin + Clavulanic acid EXPRESS in the form of dispersible tablets and amoxicillin with clavulanic acid in film-coated tablets in the treatment of acute streptococcal tonsillopharyngitis. A randomized comparative clinical study involved 60 adult patients diagnosed with acute streptococcal tonsillopharyngitis. Group 1 (n=30) received the Amoxicillin + Clavulanic acid EXPRESS, dispersible tablets, 875+125 mg 2 times a day at the beginning of meals. Group 2 (n=30) received Amoxiclav, film-coated tablets, 875+125 mg 2 times a day at the beginning of meals. The duration of the treatment was 10 days. The following procedures were performed to all participants: general clinical and otorhinolaryngological examinations, an express test to detect group A streptococcal antigens in a smear from the posterior pharyngeal wall (streptatest), assessment of symptoms of acute tonsillopharyngitis on the McIsaac scale, severity of sore throat, difficulty swallowing, swelling of the throat, measurement of body temperature, assessment of the clinical global impression of the therapy, adherence to treatment, frequency of the adverse reactions before treatment, 3 days after the beginning of therapy and after the course completion (day 10). Recovery occurred in 96.6% of patients in group 1 according to examination on the 10th day of treatment and in 93.3% of patients in group 2. The rate of fever regression was higher in group 1 - on the 3rd day of treatment, normalization of temperature was observed in 36.6% and 30% of patients in the comparison group. Pain syndrome, symptoms of throat swelling and difficulty swallowing significantly (p<0.01) regressed by the 10th day in patients of both treatment groups. The incidence of adverse reactions on the 10th day of treatment in group 1 was 10%, in group 2 - 33.3% (p=0.03). Amoxicillin + Clavulanic acid EXPRESS has high therapeutic efficacy in the treatment of acute streptococcal tonsillopharyngitis, comparable to the Amoxiclav in film-coated tablets. At the same time, dispersible tablets of Amoxicillin + Clavulanic acid EXPRESS demonstrated a significantly higher safety profile compared to the simple tablet form.

Steering Thermal Radiation

Thermal radiation is a physical phenomenon exhibiting dual characteristics of both light and heat. Sunlight, serving as the primary source of energy, emanates as thermal radiation from a high-temperature surface at 5,700 K. It is also responsible for the feeling of warmth experienced when individuals congregate and non-contact measurement of body temperature. Thus, thermal radiation exists everywhere in our daily life. However, in the early 20th century, thermal radiation posed a challenge to physicists. The endeavor to elucidate the spectrum of thermal radiation led to the concept of light as photons, therefore signaling the advent of quantum physics. It is known that thermal radiation uniformly emits, irrespective of its direction and polarization, with the spectrum dictated by Planck’s law. Yet, this commonplace should be modified when thermal radiation encounters the principle of nanophotonics. Herein lies the ability to modulate the intensity of thermal radiation across desired wavelengths, directions, and polarizations. In this article, we will delve into the latest research findings concerning the manipulation of thermal radiation and its promising applications.

Social Implementation and Measurement Accuracy Verification of Non-contact Biological Monitors

In this research, for the purpose of social implementation, we conducted a near-miss demonstration experiment using a car driving in the city and a drive-simulator. Next, we conducted a demonstration experiment to evaluate the reliability of biometric information measured on patients in a medical facility's recuperation ward and residents of a special nursing home. NBC-1100 emits radar waves from a distance of up to 3 meters from an object and uses the reflected waves to measure biological information such as pulse waves and breathing waves. The multi-element pyroelectric effect was used to measure body temperature by detecting infrared radiation emitted from distant objects. This device is unique in that it can measure biological information without being restrained while wearing clothes. In the demonstration test, simultaneous measurements were conducted on nine healthy men aged 45 to 65 using a pharmaceutically approved product (μBP-mp) and a prototype non-contact biological monitor (NBC-1100 manufactured by K&amp;S Co., Ltd.). The demonstration experiments at medical institutions and nursing care facilities were conducted with the consent of residents and their families and were conducted on 30 men and women between the ages of 70 and 94 who were undergoing treatment or in need of care. The tests were conducted on residents with chronic diseases such as dilated gastrostomies, symptomatic epilepsy, hypertension, Alzheimer's disease, and progressive supranuclear palsy. The evaluation method was simultaneous measurement using a master meter (μBP-mp) and a test meter (NBC-1100).

HEALTH MONITORING SYSTEM

After people died from infections during COVID- 19 epidemic, this attracted a lot of attention. COVID-19 causes symptoms such as fever, headache, sore throat, shortness of breath, and others. Many deaths are asymptomatic, which it makes the problem even bigger. Therefore, real-time system monitoring is needed. Monitoring will be carried out about measuring body temperature and oxygen saturation in patients. Monitoring body temperature is necessary because it can detect symptoms of COVID-19 in patients earlier. Monitoring system to be built uses ESP32 , DS18B20 sensor, and MAX30100 sensor. Data communication is used in exchange of information. This system is expected to reduce number of deaths due to COVID-19. DS18B20 sensor has a sensor accuracy of 99,73% and an average error of 0,27%. MAX30100 sensor has an accuracy rate of 99,18% and an average error of 0,82%. Delay test results show an average of 155,57 ms, and packet loss test results show an average of 0%. Result of system that has been tested said the both sensors can read well.

A Low-Cost Wearable Device to Estimate Body Temperature Based on Wrist Temperature.

The remote monitoring of vital signs and healthcare provision has become an urgent necessity due to the impact of the COVID-19 pandemic on the world. Blood oxygen level, heart rate, and body temperature data are crucial for managing the disease and ensuring timely medical care. This study proposes a low-cost wearable device employing non-contact sensors to monitor, process, and visualize critical variables, focusing on body temperature measurement as a key health indicator. The wearable device developed offers a non-invasive and continuous method to gather wrist and forehead temperature data. However, since there is a discrepancy between wrist and actual forehead temperature, this study incorporates statistical methods and machine learning to estimate the core forehead temperature from the wrist. This research collects 2130 samples from 30 volunteers, and both the statistical least squares method and machine learning via linear regression are applied to analyze these data. It is observed that all models achieve a significant fit, but the third-degree polynomial model stands out in both approaches. It achieves an R2 value of 0.9769 in the statistical analysis and 0.9791 in machine learning.

Patient Reminder System

Overview Patient Health Monitoring on ESP8266 Healthcare technology is very popular in this pandemic situation because of coronavirus. Actually, health care technology is rapidly being revolutionized with the help of the Internet of Things (IoT). Monitoring the health status of a covid patient is a hard task because of our busy schedule and our daily work. Mostly, the elderly covid patients should be monitored periodically. So, I thought to make an innovative system in this lockdown to automate the task. This device uses an ESP8266 webserver to track patient health using this monitoring system. Hence, patient health parameters such as body temperature, heart rate (BPM), blood oxygen levels (Sp02) as well as room temperature and humidity can be monitored from any device (like Smartphone, PC, Laptop, Smart TV,.) That support browsing capabilities. In this project, we will learn how to build an ESP8266 based Patient Health Monitoring System. To measure Heart Rate/Pulse (BPM) and Blood Oxygen Level (SpO2), we use the MAX30100 pulse oximeter sensor. Similarly, to measure body temperature, we use the DS18B20 temperature sensor. Meanwhile, the patient is inside the room. So we need to monitor room temperature and humidity level as well. We should keep them in a room with a certain temperature and humidity level to not feel uncomfortable. Hence, we use the DHT22 Temperature &amp; Humidity sensor. A Smart Patient Health Monitoring System using IoT (Internet of Things) is a technology-driven solution designed to continuously collect, transmit, and analyze health-related data from patients. It provides real-time insights to healthcare professionals, patients, and caregivers to improve patient care, enhance early disease detection, and promote overall well-being. One important component of such a system is the alert system, which notifies relevant parties when certain health parameters or conditions require attention.

Analytical Analysis of Factors Affecting the Accuracy of a Dual-Heat Flux Core Body Temperature Sensor.

Non-invasive core body temperature (CBT) measurements using temperature and heat-flux have become popular in health, sports, work safety, and general well-being applications. This research aimed to evaluate two commonly used sensor designs: those that combine heat flux and temperature sensors, and those with four temperature sensors. We used analytical methods, particularly uncertainty analysis calculus and Monte Carlo simulations, to analyse measurement accuracy, which depends on the accuracy of the temperature and flux sensors, mechanical construction parameters (such as heat transfer coefficient), ambient air temperature, and CBT values. The results show the relationship between the accuracy of each measurement method variant and various sensor parameters, indicating their suitability for different scenarios. All measurement variants showed unstable behaviour around the point where ambient temperature equals CBT. The ratio of the heat transfer coefficients of the dual-heat flux (DHF) sensor's channels impacts the CBT estimation uncertainty. An analysis of the individual components of uncertainty in CBT estimates reveals that the accuracy of temperature sensors significantly impacts the overall uncertainty of the CBT measurement. We also calculated the theoretical limits of measurement uncertainty, which varied depending on the method variant and could be as low as 0.05 °C.

Kirigami-Shaped Dual-Functional Strain and Temperature Sensors for Monitoring Body Movements and Hyperthermia Toward Physiotherapy Applications

Multifunctional sensors find widespread applications in wearable healthcare, Internet-of-Things, environmental monitoring, and human-machine interactions, yet they suffer from reduced stretchability, durability, wearability, and enhanced signal crosstalk. This work presents a new kirigami-shaped dual-functional patch that integrates both strain and temperature sensors in a single platform. The kirigami architecture allows out-of-plane deformation of the sensors enabling them to conform to different body parts. The sensing regions are functionalized with gold nanoparticle-decorated multi-walled carbon nanotubes that provide highly sensitive and repeatable performance. The strain sensor has a gauge factor of around 220 at 0.12% bending strain and the temperature sensor shows a sensitivity of 0.0278 kΩ °C <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1</sup> . Additionally, the sensor demonstrates an ultra-high stretchability for an applied tensile strain of up to 180%. The sensors can precisely monitor the dynamic bending of different joints in the body and temperature as well as decouple the strain and temperature measurements in response to dual stimuli. Furthermore, the sensors are interfaced with an Internet-of-Things platform that allows wireless transmission of body motion and temperature measurements to the cloud. The versatile nature of the sensing patch holds great promise for continuous monitoring of the progress in physiotherapy so that recovery can be tracked in real-time and appropriate intervention measures can be applied.

The Effects of Dietary Interventions on Cardiovascular Indexes among Individuals with Cold and Hot Temperaments Based on Persian Medicine

This study aimed to explore potential relationships between dietary patterns aligned with cold or hot temperaments and cardiovascular parameters among healthy individuals. This randomized clinical trial was conducted in 2020 with 65 healthy volunteers. Participants were categorized into two groups, specifically as hot or cold temperaments. In the initial phase, we measured body temperature, systolic and diastolic blood pressure, and conducted the Heart Rate Variability (HRV) test. Subsequently, participants received a three-day diet plan with a similar nature to their body temperament (second phase). The same measurements were repeated after three days. Following this, participants returned to a normal daily diet for three days. In the third phase, they received a diet plan of the opposite nature to their temperament for another three days, and the same battery of tests was conducted at the study's conclusion. In both the cold temperament group during the second phase and the hot temperament group during the third phase, mean body temperature, heart rate, systolic and diastolic blood pressure were significantly lower than in other phases (P &lt; 0.05). Additionally, HRV indexes, including RMSSD, SDNNInd, and QT, were significantly higher during the second phase for the cold temperament group and the third phase for the hot temperament group compared to other phases (P &lt; 0.05). Irrespective of individual body temperament, the consumption of a cold-natured diet led to a significant decrease in mean body temperature, heart rate, systolic and diastolic blood pressure. This effect may be attributed to the activation of the parasympathetic nervous system.

Phenotypes for general behavior, activity, and body temperature in 3q29 deletion model mice

Whole genome analysis has identified rare copy number variations (CNV) that are strongly involved in the pathogenesis of psychiatric disorders, and 3q29 deletion has been found to have the largest effect size. The 3q29 deletion mice model (3q29-del mice) has been established as a good pathological model for schizophrenia based on phenotypic analysis; however, circadian rhythm and sleep, which are also closely related to neuropsychiatric disorders, have not been investigated. In this study, our aims were to reevaluate the pathogenesis of 3q29-del by recreating model mice and analyzing their behavior and to identify novel new insights into the temporal activity and temperature fluctuations of the mouse model using a recently developed small implantable accelerometer chip, Nano-tag. We generated 3q29-del mice using genome editing technology and reevaluated common behavioral phenotypes. We next implanted Nano-tag in the abdominal cavity of mice for continuous measurements of long-time activity and body temperature. Our model mice exhibited weight loss similar to that of other mice reported previously. A general behavioral battery test in the model mice revealed phenotypes similar to those observed in mouse models of schizophrenia, including increased rearing frequency. Intraperitoneal implantation of Nano-tag, a miniature acceleration sensor, resulted in hypersensitive and rapid increases in the activity and body temperature of 3q29-del mice upon switching to lights-off condition. Similar to the 3q29-del mice reported previously, these mice are a promising model animals for schizophrenia. Successive quantitative analysis may provide results that could help in treating sleep disorders closely associated with neuropsychiatric disorders.