Background: Stress-related disorders such as anxiety and depression are highly prevalent and cause a tremendous burden for affected individuals and society. In order to improve prevention strategies, knowledge regarding resilience mechanisms and ways to boost them is highly needed. In the Dynamic Modelling of Resilience - interventional multicenter study (DynaM-INT), we will conduct a large-scale feasibility and preliminary efficacy test for two mobile- and wearable-based just-in-time adaptive interventions (JITAIs), designed to target putative resilience mechanisms. Deep participant phenotyping at baseline serves to identify individual predictors for intervention success in terms of target engagement and stress resilience.
Methods: DynaM-INT aims to recruit N = 250 healthy but vulnerable young adults in the transition phase between adolescence and adulthood (18-27 years) across five research sites (Berlin, Mainz, Nijmegen, Tel Aviv, and Warsaw). Participants are included if they report at least three negative burdensome past life events and show increased levels of internalizing symptoms while not being affected by any major mental disorder. Participants are characterized in a multimodal baseline phase, which includes neuropsychological tests, neuroimaging, bio-samples, sociodemographic and psychological questionnaires, a video-recorded interview, as well as ecological momentary assessments (EMA) and ecological physiological assessments (EPA). Subsequently, participants are randomly assigned to one of two ecological momentary interventions (EMIs), targeting either positive cognitive reappraisal or reward sensitivity. During the following intervention phase, participants' stress responses are tracked using EMA and EPA, and JITAIs are triggered if an individually calibrated stress threshold is crossed. In a three-month-long follow-up phase, parts of the baseline characterization phase are repeated. Throughout the entire study, stressor exposure and mental health are regularly monitored to calculate stressor reactivity as a proxy for outcome resilience. The online monitoring questionnaires and the repetition of the baseline questionnaires also serve to assess target engagement.
Discussion: The DynaM-INT study intends to advance the field of resilience research by feasibility-testing two new mechanistically targeted JITAIs that aim at increasing individual stress resilience and identifying predictors for successful intervention response. Determining these predictors is an important step toward future randomized controlled trials to establish the efficacy of these interventions.
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http://dx.doi.org/10.1186/s40359-023-01249-5 | DOI Listing |
Digit Health
January 2025
Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.
Background: Advancing evidence-based, tailored interventions for substance use disorders (SUDs) requires understanding temporal directionality while upholding ecological validity. Previous studies identified loneliness and craving as pivotal factors associated with alcohol consumption, yet the precise directionality of these relationships remains ambiguous.
Objective: This study aims to establish a smartphone-based real-life intervention platform that integrates momentary assessment and intervention into everyday life.
JMIR Res Protoc
January 2025
Department of Psychology, The Ohio State University, Columbus, OH, United States.
Background: Personalized approaches to behavior change to improve mental and physical health outcomes are needed. Reducing the intensity, duration, and frequency of stress responses is a mechanism for interventions to improve health behaviors. We developed an ambulatory, dynamic stress measurement approach that can identify personalized stress responses in the moments and contexts in which they occur; we propose that intervening in these stress responses as they arise (ie, just in time; JIT) will result in positive impacts on health behaviors.
View Article and Find Full Text PDFContemp Clin Trials
January 2025
Department of Nutrition, Gillings School of Global Public Health and School of Medicine, University of North Carolina at Chapel Hill, 135 Dauer Drive, 245 Rosenau Hall, CB # 7461, Chapel Hill, NC 27599, USA; Lineberger Comprehensive Cancer Center, 450 West Drive, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, 170 Rosenau Hall, CB #7400, Chapel Hill, NC 27599, USA; Nutrition Research Institute, North Carolina Research Campus, 500 Laureate Way, Kannapolis, NC 28081, USA.
Background: Young adults (YAs) are underrepresented in behavioral health and weight loss interventions and express interest in flexible, highly tailored programs. Mobile interventions are a lower-burden, scalable approach to providing behavioral support. Just-in-time-adaptive interventions (JITAI) promise to deliver the "right" support at the "right" time using real-time data from smartphones and sensors.
View Article and Find Full Text PDFJ Intensive Care Med
January 2025
Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA.
Rapid response teams (RRT) are multidisciplinary teams activated to assess patients outside of the Intensive Care Unit (ICU) and require a shared framework for approaching a deteriorating patient. In this project, we aimed to improve the understanding of RRT protocols through the development and implementation of the RRT Huddle Checklist. This quality improvement project took place from 2019 to 2022.
View Article and Find Full Text PDFJMIR AI
January 2025
Human-Computer Interaction and Human-Centered AI Systems Lab, AI for Healthcare Lab, Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology, Hoboken, NJ, United States.
Background: Acute marijuana intoxication can impair motor skills and cognitive functions such as attention and information processing. However, traditional tests, like blood, urine, and saliva, fail to accurately detect acute marijuana intoxication in real time.
Objective: This study aims to explore whether integrating smartphone-based sensors with readily accessible wearable activity trackers, like Fitbit, can enhance the detection of acute marijuana intoxication in naturalistic settings.
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