Description

Alcohol is a modifiable risk factor for gastrointestinal and breast cancers, with heavy, binge, and daily drinking increasing cancer risk. To reduce these cancers, accessible, effective, and scalable alcohol interventions are needed. Mobile Health (mHealth) platforms are well suited for this purpose, as they can screen for high-risk drinking and deliver on-demand, evidence-based interventions directly to at-risk individuals. Building on the success of the 'Dry January' community intervention, the current study will develop and test a 30-day Reset Challenge. This trial will recruit 150 adults with high-risk drinking behaviors in Oklahoma and pursue three aims. First, the investigators aim to evaluate the feasibility and preliminary effectiveness of the Reset Challenge. Secondly the investigators want to evaluate whether improving confidence in alcohol cessation methods is associated with a higher likelihood of achieving 30-day abstinence. The exploratory third goal is to examine the feasibility of using an alcohol sensor as an objective outcome measure in a subsample of participants. To date, "Dry January" community interventions have only minimally investigated treatment mechanisms, and their outcomes have been assessed solely through self-reported alcohol use. Findings from the current study will determine the feasibility and preliminary efficacy of the Reset Challenge and clarify the potential role of self-efficacy as a critical predictor for successful abstinence. This work will provide foundational data for future large-scale trials aimed at reducing high-risk drinking, and ultimately lowering alcohol-related cancer in the U.S.