Ontology highlight
ABSTRACT: Introduction
Reliable detection of cigarette smoking is necessary for just-in-time adaptive smoking cessation support. Smoking detection typically relies on intervention recipients to self-report smoking behaviours and their antecedents, which is burdensome and subject to reporting biases, or on specialised sensors and wearables to detect smoking gestures, which may not be feasible for real-world implementation. Here, we describe an observational laboratory-based study protocol designed to identify signature biomarkers and hand-mouth gestures associated with presmoking, smoking and postsmoking using off-the-shelf wearable devices.Methods and analysis
30 non-treatment seeking individuals who use combustible tobacco products will participate in the study. Participants will be
SUBMITTER: El-Toukhy S
PROVIDER: S-EPMC12359443 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature