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Prescriptive Predictors of Mindfulness Ecological Momentary Intervention for Social Anxiety Disorder: Machine Learning Analysis of Randomized Controlled Trial Data

Prescriptive Predictors of Mindfulness Ecological Momentary Intervention for Social Anxiety Disorder: Machine Learning Analysis of Randomized Controlled Trial Data

We extended an earlier RCT [64,65] on generalized anxiety disorder (GAD) to a new SAD sample [66]. This RCT showed that both MEMI and SM produced longer-term effects on SAD and its comorbid symptoms and risk factors, with significant between-group differences in momentary anxiety, depression, and mindfulness but not retrospectively reported symptoms [66]. Hypotheses were 2-fold.

Nur Hani Zainal, Hui Han Tan, Ryan Yee Shiun Hong, Michelle Gayle Newman

JMIR Ment Health 2025;12:e67210

Wearable Devices in Remote Cardiac Rehabilitation With and Without Weekly Online Coaching for Patients With Coronary Artery Disease: Randomized Controlled Trial

Wearable Devices in Remote Cardiac Rehabilitation With and Without Weekly Online Coaching for Patients With Coronary Artery Disease: Randomized Controlled Trial

Anxiety levels were assessed using a self-administered State Trait Anxiety Inventory (STAI) form at baseline and the end of this study. This inventory consisted of 40 statements about the feelings of the participants and was divided into 2 parts. In part I (comprising 20 statements), patients were instructed to rate the intensity of their current feelings of anxiety (indicating state anxiety) on a scale ranging from 1 (absolutely not) to 4 (very much).

Ryota Nishio, Tomotaka Dohi, Miho Yokoyama, Taisuke Nakade, Norihito Takahashi, Yuichi Chikata, Hirohisa Endo, Hiroki Nishiyama, Iwao Okai, Hiroshi Iwata, Shinya Okazaki, Katsumi Miyauchi, Hiroyuki Daida, Tohru Minamino

JMIR Mhealth Uhealth 2025;13:e63797

Addressing the Stigma of Mental Illness in Black Families and Communities in Ontario, Canada: Protocol for a Mixed Methods Study

Addressing the Stigma of Mental Illness in Black Families and Communities in Ontario, Canada: Protocol for a Mixed Methods Study

An online survey will be used to assess participants’ mental health status using the Depression, Anxiety, and Stress Scale-21 Items (DASS-21) [60], stigma of mental illness using the Community Attitudes toward the Mentally Ill (CAMI) scale [61], discrimination using the Everyday Discrimination Scale (EDS) [62], and mental health literacy using the Mental Health Literacy Questionnaire-Short Version for Adults (MHLq-SVa) [63].

Joseph Adu, Josephine P H Wong, Priscilla Boakye, Sebastian Gyamfi, Egbe B Etowa, Mark Fordjour Owusu

JMIR Res Protoc 2025;14:e66851

Effectiveness and Implementation Outcomes of an mHealth App Aimed at Promoting Physical Activity and Improving Psychological Distress in the Workplace Setting: Cluster-Level Nonrandomized Controlled Trial

Effectiveness and Implementation Outcomes of an mHealth App Aimed at Promoting Physical Activity and Improving Psychological Distress in the Workplace Setting: Cluster-Level Nonrandomized Controlled Trial

In 2019, an estimated 301 million working-age adults experienced anxiety, while approximately 280 million had depression [1]. Furthermore, many workers report subclinical symptoms such as psychological distress [2-4]. These mental health concerns lead to increased absenteeism, deteriorating quality of life, and overall well-being [5]. The global economic burden of mental health conditions is estimated at approximately US $1 trillion annually, primarily due to productivity losses [1,6,7].

Kazuhiro Watanabe, Mitsuhiro Sato, Shoichi Okusa, Akizumi Tsutsumi

JMIR Mhealth Uhealth 2025;13:e70473

Cognitive Behavioral Immersion for Depression: Protocol for a Three-Arm Randomized Controlled Trial of Peer-Based Coaching in the Metaverse

Cognitive Behavioral Immersion for Depression: Protocol for a Three-Arm Randomized Controlled Trial of Peer-Based Coaching in the Metaverse

Approximately 280 million people worldwide are experiencing depression [1], and nearly half of those people also experience comorbid anxiety [2]. Symptoms of either disorder can cause substantial distress and impair functioning across all domains of life. Worse yet, the prevalence and severity of these disorders are growing [3].

Noah Robinson, Francisco N Ramos, Steven D Hollon, Gloria T Han, Iony D Ezawa

JMIR Res Protoc 2025;14:e65970

The Longitudinal Effect of Psychological Distress on Internet Addiction Symptoms Among Chinese College Students: Cross-Lagged Panel Network Analysis

The Longitudinal Effect of Psychological Distress on Internet Addiction Symptoms Among Chinese College Students: Cross-Lagged Panel Network Analysis

To date, a significant body of studies has found the co-occurrence or correlation of IA with various types of psychological distress, including stress, depression, and anxiety [12-15]. However, 2 key questions remain regarding the relationship between psychological distress and IA symptoms. First, the directional relationship between IA symptoms and psychological distress is not fully understood.

Yuxuan Jiang, Chuman Xiao, Xiang Wang, Dongling Yuan, Qian Liu, Yan Han, Jie Fan, Xiongzhao Zhu

J Med Internet Res 2025;27:e70680

Reduction of Anxiety-Related Symptoms Using Low-Intensity Ultrasound Neuromodulation on the Auricular Branch of the Vagus Nerve: Preliminary Study

Reduction of Anxiety-Related Symptoms Using Low-Intensity Ultrasound Neuromodulation on the Auricular Branch of the Vagus Nerve: Preliminary Study

The etiology of anxiety disorders is complex, with heritability ranging from 30% to 67% depending on the research study and anxiety disorder type [1]. However, trauma, chronic stress, and other environmental factors play an important role in the development of maladaptive anxiety [7]. The complex etiology of anxiety opens opportunities for intervention at multiple points in the course of the illness from a variety of disciplines.

Izzy Kohler, Jon Hacker, Ethan Martin

JMIR Neurotech 2025;4:e69770

Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach

Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach

Perinatal depression and anxiety (PNDA) negatively impact the health and well-being of mothers and babies, and disrupt maternal /infant bonding [1]. Recent studies highlighted the significant association between PNDA and adverse outcomes, including suicidal behaviors and self-harm thoughts during and after pregnancy. Roddy Mitchell et al [2] emphasized the increased risk of preterm birth, stillbirth, and suicide associated with PNDA.

Guanjin Wang, Hachem Bennamoun, Wai Hang Kwok, Jenny Paola Ortega Quimbayo, Bridgette Kelly, Trish Ratajczak, Rhonda Marriott, Roz Walker, Jayne Kotz

J Med Internet Res 2025;27:e68030

Immersive Virtual Reality eHealth Intervention to Reduce Anxiety and Depression in Pregnant Women: Randomized Controlled Trial

Immersive Virtual Reality eHealth Intervention to Reduce Anxiety and Depression in Pregnant Women: Randomized Controlled Trial

The STAI assesses 2 dimensions of anxiety: state anxiety (a temporary condition in response to a specific situation) and trait anxiety (a general tendency to perceive situations as threatening) [30]. Both scales have demonstrated robust psychometric properties in various populations.

Marta Jimenez-Barragan, Amparo Del Pino Gutierrez, Gloria Sauch Valmaña, Olga Monistrol, Carme Monge Marcet, Mar Pallarols Badia, Ignasi Garrido, Anna Carmona Ruiz, Oriol Porta Roda, Cristina Esquinas, Gemma Falguera Puig

JMIR Hum Factors 2025;12:e71708