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Mediating Effects of Psychological Independence and Social Support on the Association Between Family Strength and Depression in Young Korean Adults: Cross-Sectional Study

Mediating Effects of Psychological Independence and Social Support on the Association Between Family Strength and Depression in Young Korean Adults: Cross-Sectional Study

Yi et al [31] reported a mean depression score of 15.55 (SD 11.87) in Korean female college students, and Kim and Park [32] reported a mean score of 17.31 (SD 8.29) in Korean college students. As a cutoff score of 13 indicates a risk of clinical depression [29], most studies have found the average depression level in Korean young adults to be relatively high.

Sunyoung Kim, Suin Park, Hyunlye Kim, Dabok Noh

JMIR Form Res 2025;9:e71485

Effectiveness of Information and Communication Technology–Based Cognitive Behavioral Therapy Using the Smart Sleep App on Insomnia in Older Adults: Randomized Controlled Trial

Effectiveness of Information and Communication Technology–Based Cognitive Behavioral Therapy Using the Smart Sleep App on Insomnia in Older Adults: Randomized Controlled Trial

While recommendations for adults suggest leaving the bed after 15-20 minutes of being awake [43], we modified the protocol to allow up to 30 min before instructing the participants to leave the bed. This adjustment aimed to provide a more flexible approach that was better suited to the needs of older individuals, ensuring that they could adapt to changes more comfortably while maintaining the principles of stimulus control therapy.

ChanHee Kim, Yeonhee Lee, Seung-Gul Kang, Seon-Heui Lee

J Med Internet Res 2025;27:e67751

Young People’s Experiences Using a Digital Mental Health Tool to Support Their Care in a Real-World Service: Lived Experience–Led Qualitative Study

Young People’s Experiences Using a Digital Mental Health Tool to Support Their Care in a Real-World Service: Lived Experience–Led Qualitative Study

After that, the DN had a brief follow-up discussion (approximately 5 min) with participants to provide ongoing support and complete data collection. Textbox 1 details the discussion topics that guided the study visits between the DN and participants, and Multimedia Appendix 1 collates the most common questions asked by the DN.

Carla Gorban, Min K Chong, Adam Poulsen, Ashlee Turner, Haley M LaMonica, Sarah McKenna, Elizabeth M Scott, Ian B Hickie, Frank Iorfino

JMIR Ment Health 2025;12:e70154

Exploring Factors Related to Social Isolation Among Older Adults in the Predementia Stage Using Ecological Momentary Assessments and Actigraphy: Machine Learning Approach

Exploring Factors Related to Social Isolation Among Older Adults in the Predementia Stage Using Ecological Momentary Assessments and Actigraphy: Machine Learning Approach

For survey data preprocessing, we standardized continuous variables using a Min-Max scaler and applied one-hot encoding to categorical variables. For actigraphy data, temporal pattern characteristics were extracted using an autoencoder. An autoencoder is a neural network composed of an encoder and a decoder, which enables automatic feature learning from unlabeled data [58]. Eight actigraphy features were extracted across the 4 designated periods.

Bada Kang, Min Kyung Park, Jennifer Ivy Kim, Seolah Yoon, Seok-Jae Heo, Chaeeun Kang, SungHee Lee, Yeonkyu Choi, Dahye Hong

J Med Internet Res 2025;27:e69379

Outcomes of an Advanced Epic Personalization Course on Clinician Efficiency through Use of Electronic Medical Records: Retrospective Study

Outcomes of an Advanced Epic Personalization Course on Clinician Efficiency through Use of Electronic Medical Records: Retrospective Study

On average, trained clinicians spent 36.7% (219.6 min) less time using the Epic system per day than controls at 3 months postcourse (Figure 2). Time spent in the Notes module per day was 56.6% (29 min) lower for trained clinicians than controls at 3 months post-course (Figure 3).

Junye George Chen, Hao Xing Lai, Shi Min Wong, Terry Ling Te Pan, Er Luen Lim, Zi Qiang Glen Liau

JMIR Form Res 2025;9:e68491

An App-Based Cognitive Behavioral Therapy Program Tailored for College Students: Randomized Controlled Trial

An App-Based Cognitive Behavioral Therapy Program Tailored for College Students: Randomized Controlled Trial

The Korean version of the Beck Depression Inventory-II (BDI-II), developed by Beck et al [65] and validated by Kim et al [66], was used to assess changes in depression severity. The BDI-II is a 21-item standardized questionnaire that is widely used to evaluate depressive symptoms.

Min Hee Kim, Yeon-kug Moon, Kyong-Mee Chung

JMIR Mhealth Uhealth 2025;13:e50006