Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Exploring drinking dynamics using interactive voice response technology.

Paul J Gruenewald1, John Searles, John Helzer

  • 1Prevention Research Center; Pacific Institutefor Research and Evaluation, 1995 University Avenue, Ste. 450, Berkeley, California 94704, USA. paul@prev.org

Journal of Studies on Alcohol
|October 26, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Variability in drinking quantities related to impaired control and pharmacological criteria for lifetime alcohol use disorder.

Addictive behaviors·2026
Same author

Stretching inhibits tumor growth in MMTV-PYMT via a direct mechanical effect.

BMC biology·2026
Same author

Does making early evening social plans impact alcohol use outcomes over evening hours?

Drug and alcohol dependence·2025
Same author

The Impact of Prolonged Exposure Therapy on Posttraumatic Stress Disorder Symptom Clusters in Adults Maintained on Medications for Opioid Use Disorder.

Clinical psychology & psychotherapy·2025
Same author

The UV Photoinduced Ring-Closing Reaction of Cyclopentadiene Probed with Ultrafast Electron Diffraction.

The journal of physical chemistry. A·2025
Same author

Impacts of impaired control and pharmacological criteria for lifetime alcohol use disorder on relationships between drinking and problems.

Drug and alcohol dependence·2025
Same journal

One small step for manuals: Computer-assisted training in twelve-step facilitation.

Journal of studies on alcohol·2006
Same journal

The impact of alcohol taxation on liver cirrhosis mortality.

Journal of studies on alcohol·2006
Same journal

Activating action tendencies: The influence of action priming on alcohol consumption among male hazardous drinkers.

Journal of studies on alcohol·2006
Same journal

A multidimensional developmental model of alcohol use during emerging adulthood.

Journal of studies on alcohol·2006
Same journal

Spring break trips as a risk factor for heavy alcohol use among first-year college students.

Journal of studies on alcohol·2006
Same journal

Alcohol, illegal drugs, violent crime, and traffic-related and other unintended injuries in U.S. local and national news.

Journal of studies on alcohol·2006
See all related articles

Daily drinking patterns are influenced by past alcohol consumption. Most drinkers showed temporal dependencies, with drinking levels non-monotonically affecting future drinking probabilities, supporting models where experiences shape alcohol use.

Area of Science:

  • Behavioral Science
  • Addiction Research
  • Mathematical Modeling

Background:

  • Neurocognitive and mathematical models suggest daily drinking levels impact subsequent drinking probabilities.
  • However, empirical evidence for these temporal dependencies in daily alcohol use patterns is lacking.
  • Positive and negative alcohol experiences are hypothesized to shape drinking levels and future probabilities.

Purpose of the Study:

  • To present and test a model of daily drinking that links current drinking probabilities to amounts consumed 1 day and 1 week prior.
  • To investigate if nonmonotonic functions relate drinking levels to subsequent drinking probabilities, indicating optimal drinking levels.
  • To determine if temporal dependencies exist in daily alcohol use and if they are non-monotonically related to prior drinking levels.

Related Experiment Videos

Main Methods:

  • Utilized Interactive Voice Response (IVR) technology to collect annual time series of daily drinking levels from 33 participants.
  • Assessed temporal dependencies and nonmonotonic relationships using bootstrapped logistic regression models for individual drinkers.
  • Tested two key predictions: existence of temporal dependencies and their nonmonotonic relation to prior drinking levels.

Main Results:

  • Data from 25 out of 30 respondents (83%) exhibited significant daily or weekly temporal dynamics in drinking.
  • A majority of respondents (18 out of 30, 60%) showed the predicted nonmonotonic relationship between prior drinking levels and subsequent drinking events.
  • Five respondents (17%) displayed no discernible temporal dynamics in their drinking patterns.

Conclusions:

  • Daily drinking probabilities are conditional upon and non-monotonically related to prior drinking levels in most individuals studied.
  • Findings support daily drinking models where alcohol-related experiences influence drinking patterns.
  • The study provides empirical evidence for structured temporal dependencies in daily alcohol consumption.