Katie Witkiewitz

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Recent Grants

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Mechanisms of Behavior Change in Alcohol Use Disorder Treatment

Open Date: 2017-04-01

Close Date: 2022-03-31

Grant: Close

Mindfulness-Based Intervention and Transcranial Direct Current Brain Stimulation to Reduce Heavy Drinking: Efficacy and Mechanisms of Change

Open Date: 2016-07-15

Close Date: 2018-06-30

Grant: Close

Neural Mechanisms of Behavior Change in a Community Sample of Drinkers

Open Date: 2015-09-25

Close Date: 2020-06-30

Grant: Close

Roadmap to Study Mechanisms of Behavior Change in Addictions

Open Date: 2015-05-01

Close Date: 2020-04-30

Grant: Close

Integrative Data Analysis to Predict Alcohol Clinical Course and Inform Practice

Open Date: 2013-08-05

Close Date: 2017-07-31

Articles (20)

Background Precision medicine approaches aim to improve treatment outcomes by identifying which treatments work best for specific individual phenotypes. In the treatment of alcohol use disorder (AUD), precision medicine approaches have been proposed based on phenotypes characterized by individuals who drink primarily to enhance rewarding experiences (i.e., reward drinking) or those who drink primarily to relieve negative states (i.e., relief drinking). This study examined these phenotypes across treatment‐ and nontreatment‐seeking individuals and the stability of the phenotypes over time. Methods We used latent profile and latent transition analyses to identify and assess longitudinal stability (over 3 or 4 months) of reward and relief drinking subgroups within a nontreatment‐seeking community sample that engaged in hazardous drinking ( n = 189) and two treatment‐seeking samples of individuals with AUD enrolled in two large clinical trials ( n = 1726, n = 1383). We examined prospective associations with alcohol consumption and consequences at long‐term follow‐up (15 or 18 months). Results Results supported four subgroups: low reward/low relief, low reward/high relief, high reward/low relief, and high reward/high relief. The community sample contained more individuals classified within the high reward/low relief subgroup than treatment‐seeking samples. Subgroups were generally more stable over time in the community sample than in the treatment‐seeking samples. Alcohol consumption and consequences decreased over time for the treatment‐seeking samples, with consequences and drinking frequency decreasing for the community sample. Participants classified within the high reward/high relief and low reward/high relief groups reported the most consequences and consumption at long‐term follow‐up. Conclusion Reward and relief drinking phenotypes can be identified within community and treatment‐seeking samples of individuals who drink heavily. The phenotypic subgroups appear to be stable over time in the absence of treatment, change somewhat during treatment, and provide utility in predicting alcohol consumption and consequences.

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Collaborators (17)

Vincent Costa

Assistant Professor

Oregon Health & Science University

UNITED STATES
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David Wetter

University of Utah

UNITED STATES
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Kevin King

Professor

University of Washington

UNITED STATES
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Davood Tofighi

Assistant Professor

University of New Mexico

UNITED STATES
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Yu-Yu Hsiao

Assistant Professor

University of New Mexico

UNITED STATES
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Jalie A. Tucker

University of Florida

UNITED STATES
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Eric Claus

Associate Professor

Pennsylvania State University

UNITED STATES
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Min-Jeong Yang

Assistant Professor

Rutgers, The State Univ. of NJ

UNITED STATES
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Henry Kranzler

Professor

University of Pennsylvania

UNITED STATES
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Kevin Vowles

The Queen's University Belfast

UNITED KINGDOM
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David MacKinnon

Regents' and Foundation Professor

Arizona State University

UNITED STATES
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Barry Oken

Oregon Health & Science University

UNITED STATES
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Jeremy Hogeveen

Assistant Professor

University of New Mexico

UNITED STATES
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Daniel Grupe

-

UNITED STATES
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Samuel Meisel

Assistant Professor

Boston University

UNITED STATES
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Kevin Hallgren

University of Washington

UNITED STATES
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Dana Ketcher

University of Minnesota

UNITED STATES
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