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Online Peer Support for Long-Term Conditions: Protocol for a Feasibility Randomized Controlled Trial

Online Peer Support for Long-Term Conditions: Protocol for a Feasibility Randomized Controlled Trial

Other studies on specific conditions such as cancer [25] have documented small to moderate reductions in depression, providing early evidence for the benefits of online peer support. Typically, online peer support communities are condition specific, overlooking the opportunity for people living with any long-term condition to reciprocate support based on their shared experience of living with a long-term condition.

Grace Lavelle, Hannah Grace Jones, Ewan Carr, Elly Aylwin-Foster, Vanessa Lawrence, Alan Simpson, Matthew Hotopf

JMIR Res Protoc 2025;14:e71513

Revisiting the Semantic Severity of Anxiety and Depression: Computational Linguistic Study of Normalization and Pathologization

Revisiting the Semantic Severity of Anxiety and Depression: Computational Linguistic Study of Normalization and Pathologization

Building on these findings, Xiao et al [14] analyzed the severity of anxiety and depression in academic abstracts and a diverse collection of American texts, expecting a similar decrease in documenting vertical concept creep. However, the severity increased for both terms and across both text collections, indicating that anxiety and depression are becoming more pathologized rather than normalized.

Vojtech Pisl, Ana-Maria Bucur, Ioana R Podina

J Med Internet Res 2025;27:e73950

Development of a Cocreated Decision Aid for Patients With Depression—Combining Data-Driven Prediction With Patients’ and Clinicians’ Needs and Perspectives: Mixed Methods Study

Development of a Cocreated Decision Aid for Patients With Depression—Combining Data-Driven Prediction With Patients’ and Clinicians’ Needs and Perspectives: Mixed Methods Study

The proposed “Instrument for Shared Decision-Making in Depression (I-SHARED)” CDS tool aims to provide patients and clinicians with (1) thorough, systematic information regarding symptoms, medical history, contextual factors, and potentially worthwhile treatment strategies in a digital report (patient summary) and (2) objective information regarding treatment options to guide depression treatment decisions.

Kaying Kan, Frederike Jörg, Klaas J Wardenaar, Frank J Blaauw, Maarten F Brilman, Ellen Visser, Dennis Raven, Dwayne Meijnckens, Erik Buskens, Danielle C Cath, Bennard Doornbos, Robert A Schoevers, Talitha L Feenstra

J Particip Med 2025;17:e67170

Breath-Focused Mindfulness and Compassion Training in Parent-Child Dyads: Pilot Intervention Study

Breath-Focused Mindfulness and Compassion Training in Parent-Child Dyads: Pilot Intervention Study

The Centers for Disease Control and Prevention estimates a 5% prevalence of depression in US children [1]. Depression in children is comorbid with anxiety and attention deficit [2-5] and may be associated with poor academic performance and school dropout, foretelling poor overall quality of life for these children [6,7]. In serious cases, children with depression can be susceptible to the grave risk of suicide [8].

Satish Jaiswal, Jason Nan, Seth Dizon, Jessica O Young, Suzanna R Purpura, James K Manchanda, Dhakshin Ramanathan, Dennis J Kuo, Jyoti Mishra

JMIR Form Res 2025;9:e69607

The Impact of an Adaptive mHealth Intervention on Improving Patient-Provider Health Care Communication: Secondary Analysis of the DIAMANTE Trial

The Impact of an Adaptive mHealth Intervention on Improving Patient-Provider Health Care Communication: Secondary Analysis of the DIAMANTE Trial

Treatment and care for depression and diabetes, two highly prevalent and often co-occurring conditions [1,2], are often siloed. Individuals with diabetes have an increased risk of developing comorbid depression compared to individuals without diabetes [3].

Lynn Leng, Marvyn R Arévalo Avalos, Adrian Aguilera, Courtney R Lyles

JMIR Mhealth Uhealth 2025;13:e64296

Exploring the Impact of Online Mental Health Resources During the COVID-19 Pandemic on Lesbian, Gay, Bisexual, Transgender, Queer, and Questioning Adults Compared to Heterosexual Adults: Pretest-Posttest Survey Analyses

Exploring the Impact of Online Mental Health Resources During the COVID-19 Pandemic on Lesbian, Gay, Bisexual, Transgender, Queer, and Questioning Adults Compared to Heterosexual Adults: Pretest-Posttest Survey Analyses

Previous analyses on the sample of all respondents found significant levels of COVID-19 stressors, depression, and anxiety for adults (both English and Spanish speaking), and greater use of the website was associated with a reduction in depression for the overall sample [43]. However, the previous analyses and reports did not present findings on LGBTQ+ participants separately or in relation to non-LGBTQ+ peers.

Natalia Ramos, Skylar Jones, Lily Zhang, Miriam Nuño, Benita Ramsey, Dannie Ceseña, Alyssa Mireles, Kenneth Wells

JMIR Form Res 2025;9:e67082

How Medical Students Manage Depression, Anxiety, and Stress: A Cross-Sectional Study

How Medical Students Manage Depression, Anxiety, and Stress: A Cross-Sectional Study

Spearman correlations showed that school year was positively and moderately correlated with stress (r27=.699; P Second-year medical students had mild depression (13.67), with moderate anxiety (11.17) and stress (20.50; Figure 1). In contrast, first-year medical students were in the “normal” range across all categories. This demonstrates that second-year medical students experience higher levels of distress. The Kruskal-Wallis results.

Jonathan Shaw, Ashley Lai, Sasha Singh, Seung Rim Yoo, Maha Fathali, Laura Stuck, James Hagerty, Van Le, Jisu Shin, Charles Lai, Peter Bota, Aaron Jacobs

JMIR Form Res 2025;9:e74218

Relationship Between Short Video Addiction Tendency and Depression Among Rural Older Adults: Cross-Sectional Study

Relationship Between Short Video Addiction Tendency and Depression Among Rural Older Adults: Cross-Sectional Study

The proportion of patients with depression aged ≥60 years in the total population was 5.7%. A recent study [7] showed that the prevalence of depression among the rural older adults aged ≥60 years was as high as 47.43%, and the risk of depression was 1.38 times higher than that of the urban older adults [8], which meant that the older people living in rural areas faced greater mental health-related challenges.

Ping Dong, Xianqi Zhang, Wenqiang Yin, Yongli Shi, Mengyuan Xu, Haoqi Li, Xianglan Zhuge, Ziyuan Li, Kui Sun, Zhongming Chen

J Med Internet Res 2025;27:e75938

Challenges and Mitigation Strategies in the Development and Feasibility Assessment of a Digital Mental Health Intervention for Depression (VMood): Mixed Methods Feasibility Study

Challenges and Mitigation Strategies in the Development and Feasibility Assessment of a Digital Mental Health Intervention for Depression (VMood): Mixed Methods Feasibility Study

Only participants identified with depression caseness as determined by a PHQ-9 score of ≥5 (154/642, 24%) were invited to participate. A PHQ-9 score of ≥5 indicates depression, with scores of 5 to 9 indicating mild depression [38]. We included individuals with mild depression caseness as the VMood app is meant to help individuals with mild to moderate depression. Community women’s union staff assisted app users with app download and registration.

Leena W Chau, Jill K Murphy, Vu Cong Nguyen, Hai Nhu Tran, Harry Minas, Raymond W Lam, Kanna Hayashi, Thi Thanh Xuan Nguyen, Emanuel Krebs, John O'Neil

JMIR Form Res 2025;9:e68297

Examining the Impact of Digital Inclusion on Depression Among Older Adults in China: Mediating Role of Noncognitive Abilities

Examining the Impact of Digital Inclusion on Depression Among Older Adults in China: Mediating Role of Noncognitive Abilities

Depression remains one of the most common mental disorders among older adults in China. It severely harms their health and is a leading contributor to late-life mortality. According to the World Health Organization (WHO), over 54.8 million people in China had depression in 2015 [1], accounting for 17% of the global disease burden from mental, neurological, and substance use disorders [2].

Xinru Li, Chengyu Chen, Xiyan Li, Yuyang Li, Shujuan Xiao, Jianan Han, Yanan Wang, Chichen Zhang

J Med Internet Res 2025;27:e71441