Commentary on Östh et al.: Sensor‐based approaches to inform alcohol interventions – beyond BAC
Year: 2025
Type: editorial
Abstract: Sensor-based approaches to inform alcohol interventionsbeyond BAC Sensor-based technologies offer a transformative approach to enhance alcohol interventions by providing continuous, objective data beyond self-report.These tools can predict drinking onset, assess impairment in real time and track post-drinking effects.By integrating physiological, behavioral and contextual data, interventions can shift from reactive to proactive, tailoring harm reduction strategies to individual needs.Digital health is transforming alcohol intervention, with sensorbased technologies providing continuous, objective insights beyond self-reports and clinical check-ins.The study by Östh et al. highlights how breathalyzers can be incorporated into behavioral interventions to help alcohol-dependent adults curb heavy drinking.However, the potential for sensors extends far beyond measuring alcohol levelsthey can anticipate drinking triggers, assess real-time impairment and track post-drinking recovery.Integrating sensors across all drinking phases enables a proactive, personalized harm reduction model.
Source: Addiction
DOI: 10.1111/add.70049
Author: Brian Suffoletto
Institutions: Stanford Medicine, Stanford University
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4408632506