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Feasibility of a Mental Health App Intervention for Emergency Service Workers and Volunteers: Single-Arm Pilot Study

Feasibility of a Mental Health App Intervention for Emergency Service Workers and Volunteers: Single-Arm Pilot Study

Build Back Better was developed by a multidisciplinary team with content adapted from a previously developed app, Head Gear, designed to prevent depression and anxiety and improve well-being among workers in male-dominated industries [18,22]. A randomized controlled trial of Head Gear with a large sample of workers showed that the app was effective in the prevention of depression and anxiety, as well as improving a range of MH and work-related outcomes [24,25].

Denise Meuldijk, Mark Deady, Daniel A J Collins, Douglas O Williams, Richard A Bryant, Samuel B Harvey

JMIR Form Res 2025;9:e50995

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

This innovative approach positions Wayhaven as a unique tool for college students with elevated anxiety and depression symptoms, offering dynamic, evidence-based mental wellness support tailored to diverse needs. However, there is a need to evaluate its feasibility, acceptability, and preliminary effectiveness in a real-world setting.

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

JMIR Form Res 2025;9:e71923

Differential Analysis of Age, Gender, Race, Sentiment, and Emotion in Substance Use Discourse on Twitter During the COVID-19 Pandemic: A Natural Language Processing Approach

Differential Analysis of Age, Gender, Race, Sentiment, and Emotion in Substance Use Discourse on Twitter During the COVID-19 Pandemic: A Natural Language Processing Approach

In addition, the vast amount of data available on social media enables a more detailed analysis across a large population [34], including those that might be underrepresented in surveys [32,36]. Despite the extensive research on SU trends, there remains a gap in understanding how these trends vary across different demographic groups, especially in the context of the COVID-19 pandemic.

Julina Maharjan, Ruoming Jin, Jennifer King, Jianfeng Zhu, Deric Kenne

JMIR Infodemiology 2025;5:e67333

Correction: Using Wearable Devices and Speech Data for Personalized Machine Learning in Early Detection of Mental Disorders: Protocol for a Participatory Research Study

Correction: Using Wearable Devices and Speech Data for Personalized Machine Learning in Early Detection of Mental Disorders: Protocol for a Participatory Research Study

In "Using Wearable Devices and Speech Data for Personalized Machine Learning in Early Detection of Mental Disorders: Protocol for a Participatory Research Study" (JMIR Res Protoc 2023;12:e48210), the authors noted an error. The following references: 32. Chen I-M, Lin P-H, Wu V-C, Wu C-S, Shan J-C, Chang S-S, et al. Suicide deaths among patients with end-stage renal disease receiving dialysis: a population-based retrospective cohort study of 64,000 patients in Taiwan. J Affect Disord. Feb 2018;227:7-10.

Ramon E Diaz-Ramos, Isabella Noriega, Luis A Trejo, Eleni Stroulia, Bo Cao

JMIR Res Protoc 2025;14:e78287

The Power of Strategic Social Media Influencer Communication to Improve Black Women’s Knowledge and Awareness of Environmental Endocrine-Disrupting Chemicals: Surveys of Instagram Users

The Power of Strategic Social Media Influencer Communication to Improve Black Women’s Knowledge and Awareness of Environmental Endocrine-Disrupting Chemicals: Surveys of Instagram Users

The POWER project is a community-research partnership between the Resilient Sisterhood Project, a nonprofit organization that supports women of African descent on reproductive health issues; Resilient Sisterhood Project community members; Silent Spring Institute, a nonprofit organization that conducts environmental health research; and SMIs. We used strategic SMI communication to engage a large audience of Black women with EDC-related information.

Elissia T Franklin, Katherine E Boronow, Jennifer Liss Ohayon, Aleyana Momplaisir, Jenell Steele, Camille Kathleen Smith, LaShannon Taylor, Breanna D Brock, Korie A Grayson, Kalere Edgecombe, Brittany S Harris, Kristen N Pender, Ijeoma B Kola, Adana AM Llanos, Dede K Teteh-Brooks, Lilly Marcelin, Julia Green Brody, Robin E Dodson

J Med Internet Res 2025;27:e66128

Predictors and Correlates of Depression and Anxiety Symptom Trajectories in a Large Digital Mental Health Provider: Retrospective Analysis of Data From Rula Health

Predictors and Correlates of Depression and Anxiety Symptom Trajectories in a Large Digital Mental Health Provider: Retrospective Analysis of Data From Rula Health

Visual inspection of the raw data indicated that a non-linear function of time should be applied (see Figure 1). Visual fit has been cited as a way to determine knot placement in spline models [35-38]. As a result, we applied a linear spline model with a knot at visit 5, allowing us to model slopes between visits 1‐5 and 6‐12 separately.

Kelsey Lynn McAlister, Lara Baez, Douglas Newton, Sam Seiniger, Amy Pearlman, Allie Woodhouse, Jennifer Huberty

J Med Internet Res 2025;27:e75750

Health Care Workers’ Perspectives on the Barriers and Facilitators to Digital Health Technology Use to Support Symptomatic Cancer Diagnosis in Southern Africa: Qualitative Study

Health Care Workers’ Perspectives on the Barriers and Facilitators to Digital Health Technology Use to Support Symptomatic Cancer Diagnosis in Southern Africa: Qualitative Study

Audio recordings and transcriptions were stored in a secure drive on the laptop of SD. SD shared anonymized transcriptions with KDA and NT through Microsoft Share Point (Microsoft Corp), which required a 1-time PIN sent via their work emails each time a file was opened.

Kirsten D Arendse, Sarah Day, Bothwell Takaingofa Guzha, Tasleem Ras, Valerie Anne Sills, Natalie Tegama, Jennifer Moodley, Fiona M Walter, Suzanne E Scott

J Med Internet Res 2025;27:e68412

A Supplemental Women’s Health Questionnaire for Women Veterans With Military Environmental Exposures: Project Development and Implementation

A Supplemental Women’s Health Questionnaire for Women Veterans With Military Environmental Exposures: Project Development and Implementation

This increase represents a more than 300% growth among women using VA primary care [3], yet despite these improvements, women are still a minoritized group with less than 30% of all women veterans enrolled in VA services [2]. Within the VA, women are more likely to have higher outpatient utilization, be younger, and represent a more racially or ethnically diverse group compared to men [2].

Leah N Eizadi, Mehret T Assefa, Jordan M Nechvatal, G Marina Veltkamp, Abou Ibrahim-Biangoro, Maheen M Adamson, Jennifer S Jennings

JMIR Form Res 2025;9:e73223