Differentiating Types of Self-Reported Alcohol Abstinence

Kirsha S. Gordon; Kathleen McGinnis; Cecilia Dao; Christopher T. Rentsch; Aeron Small; Rachel Vickers Smith; Rachel L. Kember; Joel Gelernter; Henry R. Kranzler; Kendall J. Bryant; Janet P. Tate; Amy C. Justice

doi:10.1007/s10461-019-02638-x

Differentiating Types of Self-Reported Alcohol Abstinence

Kirsha S. Gordon, Kathleen McGinnis, Cecilia Dao, Christopher T. Rentsch, Aeron Small, Rachel Vickers Smith, Rachel L. Kember, Joel Gelernter, Henry R. Kranzler, Kendall J. Bryant, Janet P. Tate, Amy C. Justice

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

We contrast three types of abstinence: quit after alcohol associated problems (Q-AP), quit for other reasons (Q-OR), and lifetime abstainer (LTA). We summarized the characteristics of people living with HIV (PLWH), and matched uninfected individuals, by levels of alcohol use and types of abstinence. We then identified factors that differentiate abstinence and determined whether the association with an alcohol biomarker or a genetic polymorphism is improved by differentiating abstinence. Among abstainers, 34% of PLWH and 38% of uninfected were Q-AP; 53% and 53% were Q-OR; and 12% and 10% were LTA. Logistic regression models found smoking, alcohol, cocaine, and hepatitis C increased odds of Q-AP, whereas smoking and marijuana decreased odds of LTA. Differentiating types of abstinence improved association. Q-APs and LTAs can be readily differentiated by an alcohol biomarker and genetic polymorphism. Differentiating type of abstinence may enhance understanding of alcohol health effects.

Original language	English
Pages (from-to)	655-665
Number of pages	11
Journal	AIDS and Behavior
Volume	24
Issue number	2
DOIs	https://doi.org/10.1007/s10461-019-02638-x
State	Published - Feb 1 2020

Bibliographical note

Publisher Copyright:
© 2019, This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

Funding

Drs Gordon and McGinnis had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Gordon and Justice were responsibly for study concept and design, interpretation, drafting of manuscript, and critical revisions. All other authors provided critical review and revisions. Kendall Bryant was the Scientific Collaborator for the Cooperative Agreements. Any expressed views do not represent those of the US Government. This work was supported by the National Institutes of Health: The National Institute on Alcohol Abuse and Alcoholism [Grant Nos. U24-AA020794, U01-AA020790, U10-A013566-completed, U01-AA020795, U01-AA020799, U24-AA022001, and U24-AA022007] and the Veterans Integrated Service Network 4: Mental Illness Research, Education, and Clinical Center. Drs Gordon and McGinnis had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Gordon and Justice were responsibly for study concept and design, interpretation, drafting of manuscript, and critical revisions. All other authors provided critical review and revisions. Kendall Bryant was the Scientific Collaborator for the Cooperative Agreements. Any expressed views do not represent those of the US Government. This work was supported by the National Institutes of Health: The National Institute on Alcohol Abuse and Alcoholism [Grant Nos. U24-AA020794, U01-AA020790, U10-A013566-completed, U01-AA020795, U01-AA020799, U24-AA022001, and U24-AA022007] and the Veterans Integrated Service Network 4: Mental Illness Research, Education, and Clinical Center. Dr. Kranzler is a member of the American Society of Clinical Psychopharmacology?s Alcohol Clinical Trials Initiative, which was sponsored for the past three years by AbbVie, Alkermes, Amygdala Neurosciences, Arbor Pharmaceuticals, Ethypharm, Indivior, Lilly, Lundbeck, Otsuka, and Pfizer. Drs. Kranzler and Gelernter are named as inventors on PCT patent application #15/878,640 entitled: ?Genotype-guided dosing of opioid agonists,? filed January 24, 2018.

Funders	Funder number
American Society of Clinical Psychopharmacology?s Alcohol Clinical Trials Initiative
National Institutes of Health (NIH)
National Institute on Alcohol Abuse and Alcoholism	U24-AA020794, U01-AA020790, U01-AA020799, U24-AA022007, U01-AA020795, U24-AA022001
National Institute on Alcohol Abuse and Alcoholism
NIH Clinical Center (CC)
Pfizer
National Center for Advancing Translational Sciences (NCATS)	UL1TR001863
National Center for Advancing Translational Sciences (NCATS)
AbbVie
Government of South Australia

Keywords

ADH1B
Alcohol use disorder
HIV
Phosphatidylethanol
Veterans

ASJC Scopus subject areas

Social Psychology
Public Health, Environmental and Occupational Health
Infectious Diseases

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/s10461-019-02638-x

Cite this

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title = "Differentiating Types of Self-Reported Alcohol Abstinence",

abstract = "We contrast three types of abstinence: quit after alcohol associated problems (Q-AP), quit for other reasons (Q-OR), and lifetime abstainer (LTA). We summarized the characteristics of people living with HIV (PLWH), and matched uninfected individuals, by levels of alcohol use and types of abstinence. We then identified factors that differentiate abstinence and determined whether the association with an alcohol biomarker or a genetic polymorphism is improved by differentiating abstinence. Among abstainers, 34\% of PLWH and 38\% of uninfected were Q-AP; 53\% and 53\% were Q-OR; and 12\% and 10\% were LTA. Logistic regression models found smoking, alcohol, cocaine, and hepatitis C increased odds of Q-AP, whereas smoking and marijuana decreased odds of LTA. Differentiating types of abstinence improved association. Q-APs and LTAs can be readily differentiated by an alcohol biomarker and genetic polymorphism. Differentiating type of abstinence may enhance understanding of alcohol health effects.",

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AU - Smith, Rachel Vickers

AU - Kember, Rachel L.

AU - Gelernter, Joel

AU - Kranzler, Henry R.

AU - Bryant, Kendall J.

AU - Tate, Janet P.

AU - Justice, Amy C.

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N2 - We contrast three types of abstinence: quit after alcohol associated problems (Q-AP), quit for other reasons (Q-OR), and lifetime abstainer (LTA). We summarized the characteristics of people living with HIV (PLWH), and matched uninfected individuals, by levels of alcohol use and types of abstinence. We then identified factors that differentiate abstinence and determined whether the association with an alcohol biomarker or a genetic polymorphism is improved by differentiating abstinence. Among abstainers, 34% of PLWH and 38% of uninfected were Q-AP; 53% and 53% were Q-OR; and 12% and 10% were LTA. Logistic regression models found smoking, alcohol, cocaine, and hepatitis C increased odds of Q-AP, whereas smoking and marijuana decreased odds of LTA. Differentiating types of abstinence improved association. Q-APs and LTAs can be readily differentiated by an alcohol biomarker and genetic polymorphism. Differentiating type of abstinence may enhance understanding of alcohol health effects.

AB - We contrast three types of abstinence: quit after alcohol associated problems (Q-AP), quit for other reasons (Q-OR), and lifetime abstainer (LTA). We summarized the characteristics of people living with HIV (PLWH), and matched uninfected individuals, by levels of alcohol use and types of abstinence. We then identified factors that differentiate abstinence and determined whether the association with an alcohol biomarker or a genetic polymorphism is improved by differentiating abstinence. Among abstainers, 34% of PLWH and 38% of uninfected were Q-AP; 53% and 53% were Q-OR; and 12% and 10% were LTA. Logistic regression models found smoking, alcohol, cocaine, and hepatitis C increased odds of Q-AP, whereas smoking and marijuana decreased odds of LTA. Differentiating types of abstinence improved association. Q-APs and LTAs can be readily differentiated by an alcohol biomarker and genetic polymorphism. Differentiating type of abstinence may enhance understanding of alcohol health effects.

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KW - Phosphatidylethanol

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Differentiating Types of Self-Reported Alcohol Abstinence

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

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