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Association of Blood Glucose Data With Physiological and Nutritional Data From Dietary Surveys and Wearable Devices: Database Analysis

Association of Blood Glucose Data With Physiological and Nutritional Data From Dietary Surveys and Wearable Devices: Database Analysis

The LOPOCV random forest regression model was used to examine the importance of the characteristics, resulting in the extraction of diet, circadian rhythm, stress, activity, body temperature, heart rate, electrodermal activity, biological sex, and Hb A1c [30]. The second study evaluated methods for detecting prediabetes and estimating glycated hemoglobin (Hb A1c) and glucose variability using digital biomarkers from wearables [31].

Takashi Miyakoshi, Yoichi M Ito

JMIR Diabetes 2024;9:e62831

Projections of Climate Change Impact on Acute Heat Illnesses in Taiwan: Case-Crossover Study

Projections of Climate Change Impact on Acute Heat Illnesses in Taiwan: Case-Crossover Study

We used the minimal morbidity temperature (MMT), which corresponded to the lowest RR of acute heat illnesses, as the reference value to calculate the attributable number (AN) and attributable fraction (AF) caused by nonoptimal temperature [24]: Where n denotes the total number of acute heat illnesses, and the parameter βx denotes the coefficient of DLNM when MMT is used as the reference temperature. The AF is the proportion of acute heat illness caused by nonoptimal temperature.

Hsiao-Yu Yang, Chang-Fu Wu, Kun-Hsien Tsai

JMIR Public Health Surveill 2024;10:e57948

Temperature Measurement Timings and the Fever Detection Rate After Gastrointestinal Surgery: Retrospective Cross-Sectional Study

Temperature Measurement Timings and the Fever Detection Rate After Gastrointestinal Surgery: Retrospective Cross-Sectional Study

In the simulated clinical temperature measurement analysis, we included all patients who were determined to have a fever based on sensor temperature data. In clinical practice, for ease of implementation and documentation, temperature measurements are typically taken on the hour. Therefore, the temperature data for every hour were selected from the consecutively collected dataset.

Shiqi Wang, Gang Ji, Xiangying Feng, Luguang Huang, Jialin Luo, Pengfei Yu, Jiyang Zheng, Bin Yang, Xiangjie Wang, Qingchuan Zhao

Interact J Med Res 2024;13:e50585

Examining the Relationships Between Indoor Environmental Quality Parameters Pertaining to Light, Noise, Temperature, and Humidity and the Behavioral and Psychological Symptoms of People Living With Dementia: Scoping Review

Examining the Relationships Between Indoor Environmental Quality Parameters Pertaining to Light, Noise, Temperature, and Humidity and the Behavioral and Psychological Symptoms of People Living With Dementia: Scoping Review

At the same time, the duration of exposure to high temperature (>22.6 °C) and low temperature ( A total of 8 studies [24,25,31-34,40,43] examined multiple indoor environmental quality parameters (refer to Table 2 for the combination of parameters examined in each study).

Wan-Tai M Au-Yeung, Lyndsey Miller, Chao-Yi Wu, Zachary Beattie, Michael Nunnerley, Remonda Hanna, Sarah Gothard, Katherine Wild, Jeffrey Kaye

Interact J Med Res 2024;13:e56452

Impact of Ambient Temperature on Mortality Burden and Spatial Heterogeneity in 16 Prefecture-Level Cities of a Low-Latitude Plateau Area in Yunnan Province: Time-Series Study

Impact of Ambient Temperature on Mortality Burden and Spatial Heterogeneity in 16 Prefecture-Level Cities of a Low-Latitude Plateau Area in Yunnan Province: Time-Series Study

Therefore, this study used the entire Yunnan Province counties, representative of the low-latitude plateau region, as the study area to focus on assessing the mortality burden due to mean temperature, populations sensitive to environmental temperature exposure, and high-risk disease causes of death. Additionally, the study aimed to explore the spatial heterogeneity of the impact of mean temperature on mortality burden.

Yang Chen, Lidan Zhou, Yuanyi Zha, Yujin Wang, Kai Wang, Lvliang Lu, Pi Guo, Qingying Zhang

JMIR Public Health Surveill 2024;10:e51883

Assessment of Heat Exposure and Health Outcomes in Rural Populations of Western Kenya by Using Wearable Devices: Observational Case Study

Assessment of Heat Exposure and Health Outcomes in Rural Populations of Western Kenya by Using Wearable Devices: Observational Case Study

The wet bulb globe temperature (WBGT), indicating heat strain, was calculated using a specific formula incorporating wet bulb temperature, global radiation, relative humidity, and air temperature [20]: where w represents wet bulb temperature, y represents global radiation, x represents relative humidity, and z represents air temperature. Participants were categorized into 4 age groups: school children (6-11 years), adolescents (12-18 years), young adults (19-45 years), and older adults (>45 years).

Ina Matzke, Sophie Huhn, Mara Koch, Martina Anna Maggioni, Stephen Munga, Julius Okoth Muma, Collins Ochieng Odhiambo, Daniel Kwaro, David Obor, Till Bärnighausen, Peter Dambach, Sandra Barteit

JMIR Mhealth Uhealth 2024;12:e54669

The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research

The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research

A key feature that influences this behavior is called temperature [8, 9]. In this context, temperature is a value from 0 to 2 that adjusts how random each subsequent word in the chat output is. A value of 0 will give the most probable word and, thus, the least variability. As the value increases toward and beyond 1, the next word becomes less probable, leading to more randomness and “creativity” in the response. This feature can currently be adjusted in the API, where the default value is 1 [9].

Joshua Davis, Liesbet Van Bulck, Brigitte N Durieux, Charlotta Lindvall

JMIR Hum Factors 2024;11:e53559

Effectiveness of Self-Collected, Ambient Temperature–Preserved Nasal Swabs Compared to Samples Collected by Trained Staff for Genotyping of Respiratory Viruses by Shotgun RNA Sequencing: Comparative Study

Effectiveness of Self-Collected, Ambient Temperature–Preserved Nasal Swabs Compared to Samples Collected by Trained Staff for Genotyping of Respiratory Viruses by Shotgun RNA Sequencing: Comparative Study

In this feasibility study, we assessed detection of respiratory viruses by shotgun RNA sequencing using a room temperature–stable at-home nasal swab sampling kit, comparing swabs collected by participants to swabs collected by trained research staff. We also determined the acceptability to participants of collecting nasal swabs from their children and potential barriers to collection at home.

Raymond Soto, Litty Paul, Christina A Porucznik, Heng Xie, Rita Czako Stinnett, Benjamin Briggs, Matthew Biggerstaff, Joseph Stanford, Robert Schlaberg

JMIR Form Res 2023;7:e32848

The Impact of Temperature, Humidity, and Sunshine on Internet Search Volumes Related to Psoriasis

The Impact of Temperature, Humidity, and Sunshine on Internet Search Volumes Related to Psoriasis

Studies examining internet search data show that searching is more common during winter than summer, suggesting a relationship with temperature [3]. A recent systematic review [4] presented inconclusive results; no seasonal changes were seen in half the studies examined and summertime improvement was found in only 30% of studies. Few studies have assessed specific weather features like temperature, humidity, and sunshine levels.

Hakan Lane, Mark Walker

JMIR Dermatol 2023;6:e49901

Evaluating User Preferences, Comprehension, and Trust in Apps for Environmental Health Hazards: Qualitative Case Study

Evaluating User Preferences, Comprehension, and Trust in Apps for Environmental Health Hazards: Qualitative Case Study

The functionality of the app has been described in detail elsewhere [8,19]; however, its core features include (1) the provision of near real time information on air quality, temperature, and pollen counts; (2) notifications when atmospheric conditions are poor; and (3) the capacity for individuals to log their symptoms and learn about their personal sensitivities (Figure 1).

Annabelle Workman, Fay H Johnston, Sharon L Campbell, Grant J Williamson, Chris Lucani, David M J S Bowman, Nick Cooling, Penelope J Jones

JMIR Form Res 2022;6(12):e38471