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Effect of a Family-Centered Empowerment Model–Based Intervention on the Caregiving Capacity and Preparedness of Caregivers of Children With Malignant Neoplasms: Protocol for a Quasi-Experimental Study

Effect of a Family-Centered Empowerment Model–Based Intervention on the Caregiving Capacity and Preparedness of Caregivers of Children With Malignant Neoplasms: Protocol for a Quasi-Experimental Study

Additionally, the study aims to examine the effects of the empowerment intervention on caregivers’ self-efficacy as well as their levels of depression, anxiety, and stress. This study has the following research hypotheses: Statistically significant differences in caregiver preparedness and caregiving capacity will occur after the FCEM intervention program.

Xiaowan Li, Yanhua Yang, Qiurong Chen, JingJing Ma, Feng Lu, Xiaoli Luo

JMIR Res Protoc 2025;14:e73304

Generative AI–Powered Mental Wellness Chatbot for College Student Mental Wellness: Open Trial

Generative AI–Powered Mental Wellness Chatbot for College Student Mental Wellness: Open Trial

Rates of depression, anxiety, and suicidal ideation have surged among college students since the COVID-19 pandemic [1,2]. From 2013 to 2021, the past-year prevalence rate of depression, anxiety, and suicidal ideation has increased by 134.6%, 109.5%, and 64%, respectively, among college students [3]. More than ever before, college counseling centers are unable to meet the increasing mental health needs of their students [4,5].

Jazmin A Reyes-Portillo, Amy So, Kelsey McAlister, Christine Nicodemus, Ashleigh Golden, Colleen Jacobson, Jennifer Huberty

JMIR Form Res 2025;9:e71923

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

Future Me, a Prospection-Based Chatbot to Promote Mental Well-Being in Youth: Two Exploratory User Experience Studies

Future Me, a Prospection-Based Chatbot to Promote Mental Well-Being in Youth: Two Exploratory User Experience Studies

Therapeutic chatbots have been used across a broad spectrum of mental health conditions, focusing on specific issues such as anxiety, depression, and autism [1]. Most of these interventions position the chatbot as a different entity, like a digital therapist. However, LLM-powered chatbots may have the capability to enact more convincing alternative roles, offering novel therapeutic approaches beyond traditional digital therapy paradigms.

Martin Dechant, Eva Lash, Sarah Shokr, Ciarán O'Driscoll

JMIR Form Res 2025;9:e74411

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

The goals of this analysis were to describe LGBTQ+ participants in the T4 W/Juntos pilot evaluation and compare their use of the website and depression (2-item Patient Health Questionnaire [PHQ-2]) and anxiety (2-item Generalized Anxiety Disorder scale [GAD-2]) levels to those of non-LGBTQ+ participants [44,45]. We hypothesized that, at baseline, LGBTQ+ participants would report higher levels of COVID-19–related stress, depression, and anxiety compared to non-LGBTQ+ respondents.

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

DASS-21a scoring was conducted by summing the Likert-scale responses (0=did not apply to me at all, 3=applied to me very much or most of the time) for each subscale (Depression, Anxiety, and Stress) and multiplying this sum by 2 to determine the participant severity per subscale. Depression thresholds included normal (0‐9), mild (10-13), moderate (14-20), severe (21-27), and extremely severe (28+).

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

Leveraging Swipe Gesture Interactions From Mobile Games as Indicators of Anxiety and Depression: Exploratory Study

Leveraging Swipe Gesture Interactions From Mobile Games as Indicators of Anxiety and Depression: Exploratory Study

The principles behind this study of analyzing gesture patterns can thus be extended in the context of anxiety and depression where motor and other cognitive impairments are also common. For instance, individuals with anxiety often exhibit psychomotor agitation, while those with depression experience psychomotor retardation. An interesting study by Dechant et al [32] explored the use of games for assessing social anxiety.

Vibhav Chitale, Julie D Henry, Ben Matthews, Vanessa Cobham, Nilufar Baghaei

JMIR Ment Health 2025;12:e70577

Gender-Based Susceptibility to Mental Health Issues in Adolescents During the COVID-19 Pandemic: Descriptive Study

Gender-Based Susceptibility to Mental Health Issues in Adolescents During the COVID-19 Pandemic: Descriptive Study

Studies on Chinese adolescents during the COVID-19 pandemic reported depression rates between 19.7% and 43.7%, anxiety rates between 24.9% and 37.4%, and a post-traumatic stress disorder (PTSD) rate of 14.4% [6-9]. In Japan, Isumi et al. [10] reported a 1.34-fold increase in child suicide rates in May 2020 compared to March 2020. Australian adolescents saw significant rises in depression and anxiety, alongside drops in life satisfaction during the pandemic [3].

Young-Shin Lee, Minjeong Kim, Kim Moreno

Asian Pac Isl Nurs J 2025;9:e63284

Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial

Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial

Depressive and anxiety disorders wield substantial global influence. The Global Burden of Diseases, Injuries, and Risk Factors Study, for instance, identified depression and anxiety disorders as 2 of the most disabling mental disorders, ranking among the top 25 leading causes of global burden in 2019 [1]. The COVID-19 pandemic has also seen a notable surge of 27.6% in major depressive disorder cases and a 25.6% increase in anxiety disorder cases in 2020 [2].

Kengo Yokomitsu, Riki Oimatsu, Sean Han Yang Toh, Oliver Sündermann

JMIR Mhealth Uhealth 2025;13:e60871

Feasibility of Collecting and Linking Digital Phenotyping, Clinical, and Genetics Data for Mental Health Research: Pilot Observational Study

Feasibility of Collecting and Linking Digital Phenotyping, Clinical, and Genetics Data for Mental Health Research: Pilot Observational Study

There is evidence that digital phenotyping data can correlate with, classify, and predict mental health problems including depression and anxiety [10-17]. To our knowledge, no previous studies have linked newly collected smartphone-based digital phenotyping data with existing genetic data in mental health research.

Joanne R Beames, Omar Dabash, Michael J Spoelma, Artur Shvetcov, Wu Yi Zheng, Aimy Slade, Jin Han, Leonard Hoon, Joost Funke Kupper, Richard Parker, Brittany Mitchell, Nicholas G Martin, Jill M Newby, Alexis E Whitton, Helen Christensen

JMIR Form Res 2025;9:e71377