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The Prevalence and Incidence of Suicidal Thoughts and Behavior in a Smartphone-Delivered Treatment Trial for Body Dysmorphic Disorder: Cohort Study

The Prevalence and Incidence of Suicidal Thoughts and Behavior in a Smartphone-Delivered Treatment Trial for Body Dysmorphic Disorder: Cohort Study

Answer choices included: 0 (“I do not think of suicide or death”), 1 (“I feel that life is empty or wonder if it’s worth living”), 2 (“I think of suicide or death several times a week for several minutes”), and 3 (“I think of suicide or death several times a day in some detail, or I have made specific plans for suicide or have actually tried to take my life”). An item from the CGI-BDD was used to determine whether participants perceived their past-week BDD symptoms improving or worsening.

Adam C Jaroszewski, Natasha Bailen, Simay I Ipek, Jennifer L Greenberg, Susanne S Hoeppner, Hilary Weingarden, Ivar Snorrason, Sabine Wilhelm

JMIR Ment Health 2025;12:e63605

Generating Artificial Patients With Reliable Clinical Characteristics Using a Geometry-Based Variational Autoencoder: Proof-of-Concept Feasibility Study

Generating Artificial Patients With Reliable Clinical Characteristics Using a Geometry-Based Variational Autoencoder: Proof-of-Concept Feasibility Study

We did not seek ethics approval in accordance with the Commision Nationale Informatique et Libertés policy on secondary analyses of preexisting datasets (Titles I and II) [9], as patients were informed that their data may be securely stored, coded for confidentiality, and used for research unless they explicitly object. To assess the consistency of newly generated artificial data, fidelity scores were calculated.

Fabrice Ferré, Stéphanie Allassonnière, Clément Chadebec, Vincent Minville

J Med Internet Res 2025;27:e63130

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