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Changes in Physical Activity, Heart Rate, and Sleep Measured by Activity Trackers During the COVID-19 Pandemic Across 34 Countries: Retrospective Analysis

Changes in Physical Activity, Heart Rate, and Sleep Measured by Activity Trackers During the COVID-19 Pandemic Across 34 Countries: Retrospective Analysis

For the steps dataset, w e analyzed 45,556,148 data points for 40,808 users from 34 countries. The study population was composed of 23,989/40,659 (59%) men and 16,819/41022 (41%) women with a mean age of 47 (SD 12.6) years. Flowchart of the 3 study populations, detailing the number of users and data points included in each dataset, based on data collected from Withings Steel heart rate activity tracker users across 34 countries.

Bastien Wyatt, Nicolas Forstmann, Nolwenn Badier, Anne-Sophie Hamy, Quentin De Larochelambert, Juliana Antero, Arthur Danino, Vincent Vercamer, Paul De Villele, Benjamin Vittrant, Thomas Lanz, Fabien Reyal, Jean-François Toussaint, Lidia Delrieu

J Med Internet Res 2025;27:e68199

Agreements and Disagreements Between Professionals and Users About the Experience of a Telehealth Service for HIV Pre-Exposure Prophylaxis (TelePrEP): Qualitative Interview Study

Agreements and Disagreements Between Professionals and Users About the Experience of a Telehealth Service for HIV Pre-Exposure Prophylaxis (TelePrEP): Qualitative Interview Study

Telemedicine as a tool for PrEP delivery during the COVID-19 pandemic in a large HIV prevention service in Rio de Reference 39: Organização, processamento, análise e interpretação de dados: o desafio da triangulação Reference 43: A (in)visibilidade gênero no currículo e na prática de duas especialidades médicas Reference 58: Saúde de Lésbicas, Gays, Bissexuais, Travestis e Transexuais: da Formação Médica à Atuação Reference 59: Gênero e Sexualidade nas Escolas Médicas Federais do Brasil: uma Análise de Projetos Pedagógicos

Lorruan Alves dos Santos, Luiz Fábio Alves de Deus, Ramiro Fernandez Unsain, Andrea Fachel Leal, Alexandre Grangeiro, Marcia Thereza Couto

J Med Internet Res 2025;27:e67445

An Interpretable Model With Probabilistic Integrated Scoring for Mental Health Treatment Prediction: Design Study

An Interpretable Model With Probabilistic Integrated Scoring for Mental Health Treatment Prediction: Design Study

Logistic regression is a classification model used in ML that applies a linear combination of the data X, with weights W, to discriminate between classes of the dependent variable Y. It models the probability of an outcome using a logistic (sigmoid) function: (1) Since the equation consists of a linear combination of the features transformed by a sigmoid function, each weight of the model directly corresponds to the weight of a feature in determining the output.

Anthony Kelly, Esben Kjems Jensen, Eoin Martino Grua, Kim Mathiasen, Pepijn Van de Ven

JMIR Med Inform 2025;13:e64617