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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Validation of a Small Language Model for DSM-5 Substance Category Classification in Child Welfare Records.

Journal of evidence-based social work (2019)·2026
Same author

Small Models Achieve Large Language Model Performance: Evaluating Reasoning-Enabled AI for Secure Child Welfare Research.

Journal of evidence-based social work (2019)·2026
Same author

Improving perinatal mood and anxiety disorders through integrated infant mental health care in obstetrics: evidence from a program evaluation study.

BMC pregnancy and childbirth·2025
Same author

The Role of Minority Stressors in Teen Dating Violence Victimization and Perpetration among Sexual and Gender Minority Youth.

Journal of interpersonal violence·2025
Same author

Improved mental health for women receiving infant mental health home visiting: a randomized controlled trial.

Frontiers in psychology·2025
Same author

'I Like Checking in on Myself': Control Group Experiences in a Strengths-Based Addiction Recovery Study, with Implications for Self-Monitoring and Measurement Reactivity.

Qualitative social work : QSW : research and practice·2025

Related Experiment Video

Updated: Jun 7, 2026

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis
08:45

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis

Published on: November 8, 2024

Heat maps: a technique for classifying and analyzing drinking behavior.

Amy R Krentzman1, Elizabeth A R Robinson, Jennifer M Jester

  • 1Addiction Research Center, University of Michigan, Ann Arbor, Michigan 48109-5740, USA. amykrent@med.umich.edu

Substance Use & Misuse
|October 28, 2010
PubMed
Summary

Heat maps offer a novel way to track alcohol dependence recovery over time. This study used heat maps to analyze drinking patterns in individuals, finding distinct groups based on initial characteristics.

More Related Videos

Web-based Clinician Guide to Record Compatible Video of Standardized Drinking Task Kinematics for Computer Vision Analysis
07:28

Web-based Clinician Guide to Record Compatible Video of Standardized Drinking Task Kinematics for Computer Vision Analysis

Published on: November 28, 2025

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
08:45

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments

Published on: March 28, 2018

Related Experiment Videos

Last Updated: Jun 7, 2026

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis
08:45

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis

Published on: November 8, 2024

Web-based Clinician Guide to Record Compatible Video of Standardized Drinking Task Kinematics for Computer Vision Analysis
07:28

Web-based Clinician Guide to Record Compatible Video of Standardized Drinking Task Kinematics for Computer Vision Analysis

Published on: November 28, 2025

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
08:45

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments

Published on: March 28, 2018

Area of Science:

  • Addiction research
  • Data visualization techniques
  • Longitudinal study methodologies

Background:

  • Alcohol dependence is a chronic condition requiring long-term monitoring.
  • Traditional methods for assessing drinking behavior may not fully capture longitudinal patterns.
  • The Life Transitions Study provided a valuable dataset for examining alcohol use trajectories.

Purpose of the Study:

  • To introduce and evaluate heat maps as an innovative method for analyzing longitudinal drinking outcomes in alcohol-dependent individuals.
  • To compare the efficacy of heat maps with established statistical techniques like growth mixture modeling.
  • To identify distinct patterns of drinking behavior over time.

Main Methods:

  • Utilized data from the Life Transitions Study (N = 364), which followed individuals with alcohol dependence from 2004-2009.
  • Employed the TimeLine Follow-Back method to collect detailed drinking information.
  • Applied heat map visualization and compared results with growth mixture modeling analyses.

Main Results:

  • Heat maps effectively visualized longitudinal drinking outcomes.
  • Identified distinct classes of drinking patterns over the 2.5-year study period.
  • These heat map-derived classes showed significant differences in baseline clinical and demographic indicators.

Conclusions:

  • Heat maps represent a promising and innovative visualization technique for understanding complex longitudinal drinking behaviors in addiction research.
  • The method allows for the identification of distinct patient trajectories.
  • Findings highlight the utility of heat maps in complementing traditional statistical analyses for alcohol dependence research.