ArticleHepatology communications2023
Smartphone sensor data estimate alcohol craving in a cohort of patients with alcohol-associated liver disease and alcohol use disorder.
Article in Hepatology communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Integrating Psychosocial Factors into Artificial Intelligence Models for Predicting Addiction Treatment Outcomes: A Systematic Review.European addiction research · 2026Pooled it
- Software Reference Architecture for Real-Time Mobile Digital Phenotyping: Evaluation of System Designs.JMIR formative research · 2026Article
- Smartphone-Based Digital Phenotyping Across Health Conditions: Scoping Review.Journal of medical Internet research · 2026Article
- Enhancing care in alcohol-associated liver disease through peer support for alcohol use disorder.Hepatology communications · 2026Review
- A Pocket Laboratory for Functional Neuroimaging Research Using Mobile Visual Oddball, Multimodal Electroencephalography, and Functional Near-Infrared Spectroscopy Imaging: Instrument Validation Study.JMIR neurotechnology · 2026Article
- Real-World Smartphone Data Predicts Mood After Ischemic Stroke and Transient Ischemic Attack Symptoms and May Constitute Digital Endpoints: A Proof-of-Concept Study.Mayo Clinic proceedings. Digital health · 2025Article
- Momentary mindfulness versus distraction coping messages to reduce cannabis craving among young adults: A microrandomized trial.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025Article
- MetALD: Clinical aspects, pathophysiology and treatment.JHEP reports : innovation in hepatology · 2025Review
- Alcohol-associated liver disease: Natural history, management and novel targeted therapies.Clinical and molecular hepatology · 2025Review
- Designing clinical trials to address alcohol use and alcohol-associated liver disease: an expert panel Consensus Statement.Nature reviews. Gastroenterology & hepatology · 2024Review
- The rise of mobile apps for the management of chronic liver disease.Hepatology communications · 2024Article
- Emerging digital technologies to help patients with cirrhosis.Clinical liver diseaseReview
- Challenges and Future Perspectives for Artificial Intelligence in Hepatology: Breaking Barriers for Better Care.Journal of clinical and experimental hepatologyReview
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundSensors within smartphones, such as accelerometer and location, can describe longitudinal markers of behavior as represented through devices in a method called digital phenotyping. This study aimed to assess the feasibility of digital phenotyping for patients with alcohol-associated liver disease and alcohol use disorder, determine correlations between smartphone data and alcohol craving, and establish power assessment for future studies to prognosticate clinical outcomes.
methodsA total of 24 individuals with alcohol-associated liver disease and alcohol use disorder were instructed to download the AWARE application to collect continuous sensor data and complete daily ecological momentary assessments on alcohol craving and mood for up to 30 days. Data from sensor streams were processed into features like accelerometer magnitude, number of calls, and location entropy, which were used for statistical analysis. We used repeated measures correlation for longitudinal data to evaluate associations between sensors and ecological momentary assessments and standard Pearson correlation to evaluate within-individual relationships between sensors and craving.
resultsAlcohol craving significantly correlated with mood obtained from ecological momentary assessments. Across all sensors, features associated with craving were also significantly correlated with all moods (eg, loneliness and stress) except boredom. Individual-level analysis revealed significant relationships between craving and features of location entropy and average accelerometer magnitude.
conclusionsSmartphone sensors may serve as markers for alcohol craving and mood in alcohol-associated liver disease and alcohol use disorder. Findings suggest that location-based and accelerometer-based features may be associated with alcohol craving. However, data missingness and low participant retention remain challenges. Future studies are needed for further digital phenotyping of relapse risk and progression of liver disease.
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Registered trials
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.