ArticleDigital health
Real-time mechanism-based interventions for daily alcohol challenges: Protocol for ecological momentary assessment and intervention.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07059234 (The Motor Activity - Subjective Energy), which is not on this map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Motor Activity - Subjective Energy (MASE) Project: Neurobiological and Digital Phenotyping Towards Digital Mental Health Interventions in Depression
Who cites it
5 citing papers in PubMed.
- Temporal patterns of alcohol use in alcohol use disorder: a 12-month ecological momentary assessment.European archives of psychiatry and clinical neuroscience · 2026Article
- Manifestation of Drinking Profiles in Daily Life: Associations With Momentary Negative Affect, Impulsivity, and Drinking.Alcohol, clinical & experimental research · 2026Article
- Objective risk and protective factors for momentary and daily loneliness:using digital phenotyping and temporal analysis.Npj mental health research · 2025Article
- Alcohol-Induced Changes in Brain Microstructure: Uncovering Novel Pathophysiological Mechanisms of AUD Using Translational DTI in Humans and Rodents.Current topics in behavioral neurosciences · 2025Review
- Behavioral Neurobiology of Alcohol Addiction: A Decade of Great Challenges, New Hopes, and Hypes.Current topics in behavioral neurosciences · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
32 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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. The platform will explore the temporal directionality of contextual influences on alcohol use among individuals experiencing loneliness and craving. Methods: We will target 180 individuals aged 18 to 70 in Germany who report loneliness, alcohol cravings, and meet risk or binge drinking criteria (over 14 standard drinks per week or five drinks in a single day for males, and over seven drinks per week or four drinks in a single day for females). Using a Within-Person-Encouragement-Design and Just-In-Time-Adaptive-Interventions, we will manipulate the contexts of loneliness and alcohol craving with cognitive reappraisal and physical activity interventions against a control condition (working memory task). Results: Recruitment started in June 2024, with data collection and processing expected by June 2027. Conclusion: Our real-life intervention platform endeavors to serve as a robust tool for discerning the directionality of the effects from time series data in everyday life influences on alcohol use for the future study. Ultimately, it will pave the way for low-threshold prevention, clinical treatment, and therapy to target diverse contexts of everyday life in SUD. Trial registration: German Clinical Trials Register DRKS00033133.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.