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Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis

Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis

Sixteen studies used outcome measures or diagnostic frameworks (Depression, Anxiety, and Stress Scales, CES-D, PHQ-9, PHQ-8, BDI, and Diagnostic and Statistical Manual of Mental Disorders), whereas 20 used participants’ diagnostic statements (eg, “I was diagnosed with depression”) or did not provide relevant information. Language features (n=17, 85%) were the most commonly examined features, followed by social media activity (n=8, 40%), temporal (n=4, 20%), and demographic (n=3, 15%) features.

Doreen Phiri, Frank Makowa, Vivi Leona Amelia, Yohane Vincent Abero Phiri, Lindelwa Portia Dlamini, Min-Huey Chung

J Med Internet Res 2025;27:e59002

Development of an eHealth Mindfulness-Based Music Therapy Intervention for Adults Undergoing Allogeneic Hematopoietic Stem Cell Transplantation: Qualitative Study

Development of an eHealth Mindfulness-Based Music Therapy Intervention for Adults Undergoing Allogeneic Hematopoietic Stem Cell Transplantation: Qualitative Study

For usability testing, participants completed the 30-item USE questionnaire [65] which contains 4 subscales assessing usefulness (eg, “It helps me be more effective”), ease of use (eg, “It is easy to use”), ease of learning (eg, “I learned to use it quickly”), and satisfaction (eg, “I am satisfied with it”) on an 8-point Likert scale (1=strongly disagree to 8=strongly agree).

Sara E Fleszar-Pavlovic, Blanca Noriega Esquives, Padideh Lovan, Arianna E Brito, Ann Marie Sia, Mary Adelyn Kauffman, Maria Lopes, Patricia I Moreno, Tulay Koru-Sengul, Rui Gong, Trent Wang, Eric D Wieder, Maria Rueda-Lara, Michael Antoni, Krishna Komanduri, Teresa Lesiuk, Frank J Penedo

JMIR Form Res 2025;9:e65188

A Novel Just-in-Time Intervention for Promoting Safer Drinking Among College Students: App Testing Across 2 Independent Pre-Post Trials

A Novel Just-in-Time Intervention for Promoting Safer Drinking Among College Students: App Testing Across 2 Independent Pre-Post Trials

Sample items include “I think that I would like to use bhoos frequently” and “I thought bhoos was easy to use.” Responses to each item range from 1 (strongly disagree) to 5 (strongly agree). Possible scores on the SUS range from 0 to 100, with a higher score indicating higher overall usability of a system or program. The SUS has been used in roughly 3500 surveys within 273 studies evaluating a range of systems, interfaces, and programs [37]. Internal consistency of the SUS was good (α=0.84).

Philip I Chow, Jessica Smith, Ravjot Saini, Christina Frederick, Connie Clark, Maxwell Ritterband, Jennifer P Halbert, Kathryn Cheney, Katharine E Daniel, Karen S Ingersoll

JMIR Hum Factors 2025;12:e69873

Development of Digital Strategies for Reducing Sedentary Behavior in a Hybrid Office Environment: Modified Delphi Study

Development of Digital Strategies for Reducing Sedentary Behavior in a Hybrid Office Environment: Modified Delphi Study

Although applying physical changes such as standing desks may be a solution to break up sitting time at work, it appears to be a less feasible strategy in the home office context due to the expensive cost for the companies: I’m a big advocate of standing desks, standing workstations in terms of being effective but I appreciate that in this situation it’s probably not feasible for them to be incorporated in the home-office.

Iris Parés-Salomón, Cristina Vaqué-Crusellas, Alan Coffey, Bette Loef, Karin I Proper, Anna M Señé-Mir, Anna Puig-Ribera, Kieran P Dowd, Judit Bort-Roig

JMIR Hum Factors 2025;12:e59405

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

The model equation was as follows: where Yi represents the median number of steps for individual i, α is the coefficient associated with the X variable, β represents the intercept, βi represents the random effect of the intercept of individual i, and ϵ is the residual error term. Reference categories were set to fall (season), Friday (weekday), and man (gender). HR data were summarized using means and standard deviations for descriptive purposes, stratified by gender and lockdown status.

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

Web-Based Human Papillomavirus Education and Professional Skills Intervention for Health Care Providers: Protocol for a Randomized Controlled Trial

Web-Based Human Papillomavirus Education and Professional Skills Intervention for Health Care Providers: Protocol for a Randomized Controlled Trial

Participants will be excluded from the study if they are not affiliated with the El Paso United States–Mexico border region, have not previously participated in phases I or II of the larger parent research project, do not identify as a current or emerging health care provider, decline or are unable to participate in the full intervention and follow-up time points, or are unable to complete participation and activities in the English language.

Jacob Martinez, Jacquelin I Cordero, Meagan Whitney, Katie L LaRoche, Gabriel Frietze, Eva M Moya, Kristin Gosselink

JMIR Res Protoc 2025;14:e60790