Relapse Prediction: A Meteorology-inspired Mobile Model

Overview

Journal Health Psychol Open

Publisher Sage Publications

Specialty Psychology

Date 2022 Feb 24

PMID 35198234

Authors

F Michler Bishop

Affiliations

Soon will be listed here.

Abstract

Predicting relapses to binge drinking in non-dependent drinkers may now be possible with smartphones. Smartphones have been shown to help individuals reduce their drinking and may help binge drinkers accelerate that process. Predicting the weather has improved greatly over the past 50 years, but predicting a binge drinking episode may be less difficult. It is hypothesized that the number of factors with high predictive value for any particular individual may not be large. Collecting data over time, a smartphone should be able to learn which combination of factors has a high probability of leading to an episode of binge drinking.

Citing Articles

Toward the prevention of alcohol use disorders: Overdrinking (unintentional binge drinking) in a community sample.

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Self-guided Change: The most common form of long-term, maintained health behavior change.

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PMID: 29375888 PMC: 5777567. DOI: 10.1177/2055102917751576.

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