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The EmpkinS-EKSpression Reappraisal Training Augmented With Kinesthesia in Depression: One-Armed Feasibility Study

The EmpkinS-EKSpression Reappraisal Training Augmented With Kinesthesia in Depression: One-Armed Feasibility Study

Depression is one of the most prevalent mental disorders [1] and severely impacts the quality of life and functioning of affected individuals [2]. Depression is also associated with an increased risk of cardiovascular disease [3] and mortality [4].

Marie Keinert, Lena Schindler-Gmelch, Lydia Helene Rupp, Misha Sadeghi, Robert Richer, Klara Capito, Bjoern M Eskofier, Matthias Berking

JMIR Form Res 2025;9:e65357

Impact of Conversational and Animation Features of a Mental Health App Virtual Agent on Depressive Symptoms and User Experience Among College Students: Randomized Controlled Trial

Impact of Conversational and Animation Features of a Mental Health App Virtual Agent on Depressive Symptoms and User Experience Among College Students: Randomized Controlled Trial

In human-human therapeutic interactions, body language, tone, and other social cues are critical to conveying empathy and can influence therapeutic outcomes in individuals with depression [42-44]. Research with chatbots [13] and ECAs [45] has demonstrated that individuals experiencing depressive symptoms report high perceived virtual agent empathy and user-agent working alliance with levels mirroring that of CBT-based human interventions.

Stephanie Six, Elizabeth Schlesener, Victoria Hill, Sabarish V Babu, Kaileigh Byrne

JMIR Ment Health 2025;12:e67381

Adapting Cognitive Behavioral Therapy for Adolescents in Iraq via Mobile Apps: Qualitative Study of Usability and Outcomes

Adapting Cognitive Behavioral Therapy for Adolescents in Iraq via Mobile Apps: Qualitative Study of Usability and Outcomes

Mental health challenges among adolescents have become increasingly prevalent, with issues like anxiety, depression, and stress-related disorders affecting a significant portion of this population [1-4]. Adolescence is a critical developmental period marked by emotional, cognitive, and social changes, which can increase vulnerability to mental health disorders [5-7].

Radhwan Hussein Ibrahim, Marghoob Hussein Yaas, Mariwan Qadir Hamarash, Salwa Hazim Al-Mukhtar, Mohammed Faris Abdulghani, Osama Al Mushhadany

JMIR Pediatr Parent 2025;8:e67137

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

Another study also indicated the potential of demographic features for predicting depression using machine learning algorithms; however, social media data were not used [17]. Most social media platforms include user profiles with demographic information that can be used for depression prediction [18]. Thus, assessing the role of demographics in depression prediction is vital.

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

In addition, poor psychosocial functioning and emotional distress (eg, anxiety, depression, and social isolation) can persist well beyond active treatment [5-7]. These negative psychological factors, common among allo-SCT recipients [5,6], are associated with higher mortality rates and less favorable health outcomes in the first-year posttreatment [8-10], including greater rates of GVHD and infection, longer hospitalization stays, and higher readmission rates [11].

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

Effects of Using a Smart Bassinet on the Mental Health of Military-Affiliated Pregnant Women: Protocol for a Randomized Controlled Sleep Health and Mood in Newly Expectant Military Mothers (SHINE) Trial

Effects of Using a Smart Bassinet on the Mental Health of Military-Affiliated Pregnant Women: Protocol for a Randomized Controlled Sleep Health and Mood in Newly Expectant Military Mothers (SHINE) Trial

Infant sleep problems further contribute to significant maternal sleep issues [30-32] and maternal mental health consequences, regardless of the mothers’ depression history [32-34]. Mothers who report poor infant sleep behavior have significantly more depressive symptoms than mothers who report good infant sleep [35-37]. There is some evidence that maternal sleep quality is a mediator of this relationship [35].

Michele L Okun, Jennifer L Payne, Lauren M Osborne, Leilani Feliciano, Andrew Lac

JMIR Res Protoc 2025;14:e66439

Association of Social Media Recruitment and Depression Among Racially and Ethnically Diverse Metabolic and Bariatric Surgery Candidates: Prospective Cohort Study

Association of Social Media Recruitment and Depression Among Racially and Ethnically Diverse Metabolic and Bariatric Surgery Candidates: Prospective Cohort Study

Table 2 presents the prevalence of depression categorized by recruitment method and race and ethnicity among all participants (N=380). Of the participants, 115 (30.26%) had a history of depression, while 265 (69.74%) had no history of depression. Our findings showed a difference between the prevalence of depression and the recruitment methods (P=.03). In the nonsocial media group (n=273, 71.84%), the prevalence rates of depression (n=74, 27.11%) varied by race and ethnicity.

Jackson M Francis, Sitapriya S Neti, Dhatri Polavarapu, Folefac Atem, Luyu Xie, Olivia Kapera, Matthew S Mathew, Elisa Marroquin, Carrie McAdams, Jeffrey Schellinger, Sophia Ngenge, Sachin Kukreja, Benjamin E Schneider, Jaime P Almandoz, Sarah E Messiah

JMIR Form Res 2025;9:e58916

Provider Perspectives on Implementing an Enhanced Digital Screening for Adolescent Depression and Suicidality: Qualitative Study

Provider Perspectives on Implementing an Enhanced Digital Screening for Adolescent Depression and Suicidality: Qualitative Study

Adolescent depression and suicidality are part of a growing public health crisis that has been further exacerbated by the COVID-19 pandemic [1]. In 2022, 19.5% of US adolescents aged 12‐17 years experienced a major depressive episode and 13.4% reported having seriously considered suicide [2]. Pediatric societies recommend that pediatric primary care providers (PCPs) screen adolescents for both depression and suicidality [3-6].

Morgan A Coren, Oliver Lindhiem, Abby R Angus, Emma K Toevs, Ana Radovic

JMIR Form Res 2025;9:e67624

Factors Impacting Mobile Health Adoption for Depression Care and Support by Adolescent Mothers in Nigeria: Preliminary Focus Group Study

Factors Impacting Mobile Health Adoption for Depression Care and Support by Adolescent Mothers in Nigeria: Preliminary Focus Group Study

Perinatal depression, a condition common in pregnant women, is higher among adolescent mothers than older mothers [10,11] occurring during pregnancy and up to one year after childbirth. Untreated perinatal depression is a risk for negative health outcomes for mothers and their infants [12].

Lola Kola, Tobi Fatodu, Manasseh Kola, Bisola A Olayemi, Adeyinka O Adefolarin, Simpa Dania, Manasi Kumar, Dror Ben-Zeev

JMIR Form Res 2025;9:e42406

Psychological eHealth Interventions for Patients With Cardiovascular Diseases: Systematic Review and Meta-Analysis

Psychological eHealth Interventions for Patients With Cardiovascular Diseases: Systematic Review and Meta-Analysis

Figure 3 shows a forest plot for the pooled results on depression. Depression was measured by 11 studies using the Hospital Anxiety and Depression Scale (HADS) [34,35,38,42], Beck Depression Inventory [24,36], Patient Health Questionnaire–9 [33,37,39,41], or the Depression, Anxiety, and Stress Scale (DASS) [31].

Jing Jing Su, Rose Lin, Ladislav Batalik, Arkers Kwan Ching Wong, Sherry L Grace

J Med Internet Res 2025;27:e57368