Common Factors Underlying Diverse Responses in Alcohol Use Disorder
Objective Interindividual variation in responses to alcohol is substantial, posing challenges for medical management and for understanding the biological underpinnings of alcohol use disorders (AUD). It is important to understand whether diverse alcohol responses such as sedation, which is predictiv...
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Published in | Psychiatric research and clinical practice Vol. 3; no. 2; pp. 76 - 87 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
John Wiley & Sons, Inc
01.06.2021
John Wiley and Sons Inc Wiley |
Subjects | |
Online Access | Get full text |
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Summary: | Objective
Interindividual variation in responses to alcohol is substantial, posing challenges for medical management and for understanding the biological underpinnings of alcohol use disorders (AUD). It is important to understand whether diverse alcohol responses such as sedation, which is predictive of risk and partly heritable, occur concurrently or independently from responses such as blackouts and withdrawal. We hypothesized that latent factors accounting for sources of variance in diverse alcohol response phenotypes could be identified in a large, deeply phenotyped sample of patients with AUD.
Methods
We factor analyzed 17 alcohol response related items from the Alcohol Dependence Scale (ADS) in 938 individuals diagnosed with AUD via structured clinical interviews. Demographic, genetic, and clinical characteristics were tested as predictors of the latent factors by multiple indicators, multiple causes analysis.
Results
The final factor solution included three alcohol response factors: Physical Symptoms, Perceptual Disturbances, and Neurobiological Effects. Both gender and genetic ancestry were identified as variables influencing alcohol response. Major depressive disorder positively predicted physical symptoms and aggression negatively predicted physical symptoms. Barratt's Impulsivity Scale total score predicted the Physical and Perceptual domains. Family history, average drinks per drinking day, and negative urgency (an impulsivity measure) predicted all three domains.
Conclusions
Diverse items from the ADS concurrently load onto three correlated alcohol response factors rather than loading independently. Genetic ancestry and clinical characteristics predicted the severity of items that define the alcohol response factors even after accounting for degree of alcohol consumption. Co‐occurring phenotypes point towards an underlying shared physiology of diverse alcohol responses.
HIGHLIGHTS
Three common factors relevant for diverse alcohol responses are identified: Physical Symptoms, Perceptual Disturbances, and Neurobiological Effects
Alcohol response items from the Alcohol Dependence Scale concurrently load onto these three factors rather than loading independently
The three factors are correlated; patients presenting to clinical settings with a problem such as blackout are likely to experience several other problems either acutely or in the future |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 The authors acknowledge the Division of Intramural Clinical and Biological Research, NIAAA, including the 1SE Inpatient Behavioral Health Unit and the 1SE Outpatient Clinic. This study was supported by the NIAAA Division of Intramural Clinical and Biological Research (Z1A AA0013003, Z1A AA000213, Z1A AA000301). Part of this research was made possible through the National Institutes of Health (NIH) Medical Research Scholars Program, a public‐private partnership supported jointly by the NIH and generous contributions to the Foundation for the NIH from the Doris Duke Charitable Foundation, Genentech, the American Association for Dental Research, the Colgate‐Palmolive Company, alumni of student research programs, and other individual supporters via contributions to the Foundation for the National Institutes of Health. National Institutes of Health (NIH) intramural program, (Grant/Award Number: “Z1A AA000213”, “Z1A AA000301”, “Z1A AA0013003”). |
ISSN: | 2575-5609 2575-5609 |
DOI: | 10.1176/appi.prcp.20200028 |