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Sex Differences in the Variability of Physical Activity Measurements Across Multiple Timescales Recorded by a Wearable Device: Observational Retrospective Cohort Study

Sex Differences in the Variability of Physical Activity Measurements Across Multiple Timescales Recorded by a Wearable Device: Observational Retrospective Cohort Study

The PV quantifies variability by calculating the average percentage difference between all combinations of measurements [37-40]: where n is the total number of values, z is a list of values on which pair-wise comparisons are calculated, and i and j are indices of any 2 different values. The PV improves upon CV because it is not mean dependent, and it is less sensitive to rare events [37] (Figure 2 B).

Kristin J Varner, Lauryn Keeler Bruce, Severine Soltani, Wendy Hartogensis, Stephan Dilchert, Frederick M Hecht, Anoushka Chowdhary, Leena Pandya, Subhasis Dasgupta, Ilkay Altintas, Amarnath Gupta, Ashley E Mason, Benjamin L Smarr

J Med Internet Res 2025;27:e66231

Optimization of Internet-Delivered Cognitive Behavioral Therapy for Canadian Leaders Within Public Safety: Qualitative Study

Optimization of Internet-Delivered Cognitive Behavioral Therapy for Canadian Leaders Within Public Safety: Qualitative Study

One client said “The challenge I find as a leader is I work a lot of extra hours” while another stated, “I'm on call 24 hours a day.” Additionally, clients reported operational stress due to PPTE exposures (n=5, 50%). One client explained, “in leadership positions…you get exposed to a lot of things” while another client elaborated, “I’ve been through riots… finding dead bodies.” Clients further identified a variety of organizational stressors that impact their well-being.

Jill AB Price, Hugh C McCall, Sam A Demyen, Shaylee M Spencer, Benjamin MW Katz, Alyssa P Clairmont, Heather D Hadjistavropoulos

J Med Internet Res 2025;27:e72321

Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial

Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial

The 4-item scale assesses the participant’s feelings of being able to stop smoking permanently (“I feel confident in my ability to not smoke,” “I now feel capable of not smoking,” “I am able to not smoke anymore,” and “I am able to meet the challenge of not smoking”). Responses are scored on a 7-point scale from 1 (strongly disagree) to 7 (strongly agree), and individual items are averaged to create a scale mean. In prior work [23], PCS was reliable (α=.95) at the 6-month follow-up [23].

Ariana Kamberi, Benjamin Weitz, Julie Flahive, Julianna Eve, Reem Najjar, Tara Liaghat, Daniel Ford, Peter Lindenauer, Sharina Person, Thomas K Houston, Megan E Gauvey-Kern, Jackie Lobien, Rajani S Sadasivam

JMIR Res Protoc 2025;14:e63693

Methadone Patient Access to Collaborative Treatment: Protocol for a Pilot and a Randomized Controlled Trial to Establish Feasibility of Adoption and Impact on Methadone Treatment Delivery and Patient Outcomes

Methadone Patient Access to Collaborative Treatment: Protocol for a Pilot and a Randomized Controlled Trial to Establish Feasibility of Adoption and Impact on Methadone Treatment Delivery and Patient Outcomes

Examples include accredited training completion or progress toward completion, reflective supervision participant reports, and wellness assessment completion reported through study surveys and through wellness screening data output (duplicated unless noted by the participant by selecting “I have taken this assessment before,” and if selected, the participant can select the number of times the assessment has been completed prior).

Beth E Meyerson, Alissa Davis, Richard A Crosby, Linnea B Linde-Krieger, Benjamin R Brady, Gregory A Carter, Arlene N Mahoney, David Frank, Janet Rothers, Zhanette Coffee, Elana Deuble, Jonathon Ebert, Mary F Jablonsky, Marlena Juarez, Barbara Lee, Heather M Lorenz, Michael D Pava, Kristen Tinsely, Sana Yousaf

JMIR Res Protoc 2025;14:e69829

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