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Digital Integrated Interventions for Comorbid Depression and Substance Use Disorder: Narrative Review and Content Analysis

Digital Integrated Interventions for Comorbid Depression and Substance Use Disorder: Narrative Review and Content Analysis

These symptoms were assessed via the Beck Depression Inventory-II (BDI-II), Depression, Anxiety, and Stress Scale-21 items, Center for Epidemiologic Studies Depression Scale (CES-D) or Patient Health Questionnaire-9 (PHQ-9) [65-68]. These studies also included participants with problematic or hazardous alcohol or cannabis use, assessed by the Alcohol Use Disorders Identification Test [69] or by how often they used these substances each week.

Geneva K Jonathan, Qiuzuo Guo, Heyli Arcese, A Eden Evins, Sabine Wilhelm

JMIR Ment Health 2025;12:e67670

Food Access in New York City During the COVID-19 Pandemic: Social Media Monitoring Study

Food Access in New York City During the COVID-19 Pandemic: Social Media Monitoring Study

Reference 30: Quarterly report pursuant to section 13 or 15(D) of the securities exchange Act of 1934 Reference 40: jonathan-chin / food-chatter-code(https://github.com/jonathan-chin/food-chatter-code)

Leah Butz, Charles Platkin, Jonathan Chin, Juan Pablo Chavez Salas, Ellie Serres, May May Leung

JMIR Form Res 2025;9:e49520

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

Power analyses were focused on the ability to detect a medium effect size (Cohen d=0.50) at postcondition in the context of a 2-level random coefficients HLM. Given that the primary contrast of interest would be that between CBI and the other study conditions, calculations were focused on detecting significant differences between two active conditions. Where study parameters in this 2-level model were not yet known, we used standard values and varied parameters to approximate an effective sample size.

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

JMIR Res Protoc 2025;14:e65970