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

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Drinking course through midlife based on diagnostic versus quantity-frequency indices.

Theodore Jacob¹, Daniel M Blonigen, Kerry Hubel

¹Family Research Center, Veterans Affairs Palo Alto Health Care System, Menlo Park, California 94025-2539, USA. ttjbocaj@aol.com

Alcoholism, Clinical and Experimental Research

|September 15, 2011

Summary

This study found that alcohol consumption measures better track drinking trajectories over a lifetime compared to just alcohol dependence diagnoses. Integrating consumption data is crucial for understanding drinking patterns.

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Area of Science:

Addiction research
Developmental psychology
Epidemiology

Background:

Previous studies on drinking trajectories focused on annual changes in alcohol dependence (AD).
Limited research has utilized consumption-based measures to understand drinking patterns from onset to midlife.
The comparability of trajectories derived from diagnostic versus consumption data remains underexplored.

Purpose of the Study:

To examine the course of drinking using consumption data over a lifespan.
To compare drinking trajectories derived from diagnostic data with those from consumption data.
To evaluate the consistency between alcohol dependence (AD) trajectories and consumption-based trajectories.

Main Methods:

Analysis of retrospective person-year data from 420 men in the Vietnam Era Twin Registry.
Utilized the Lifetime Drinking History to collect data on consumption patterns and diagnostic symptoms.
Employed latent growth mixture modeling on dichotomous heavy drinking (HD) and continuous quantity-frequency index (QFI) scores.

Main Results:

Trajectories based on heavy drinking (HD) showed moderate agreement with previously identified alcohol dependence (AD) trajectories.
Trajectories derived from quantity-frequency index (QFI) scores exhibited weak concordance with AD-based trajectories.
Consumption measures may refine interpretations of developmental trajectories in alcoholism research, especially for late-onset alcoholism.

Conclusions:

Findings emphasize the necessity of incorporating repeated alcohol consumption measures in lifespan drinking studies.
Consumption data provides a more nuanced understanding of drinking trajectories compared to diagnostic data alone.
Future research should integrate diverse measures of alcohol use to accurately map drinking behavior over time.