Predictors of Patterns of Alcohol-Related Blackouts Over Time in Youth From the Collaborative Study of the Genetics of Alcoholism: The Roles of Genetics and Cannabis
| Autor: | Alexandra Shafir, Tom L. Smith, Marc A. Schuckit, Samuel Kuperman, Kathleen K. Bucholz, Peyton Clausen, Michie Hesselbrock, Priscila Dib Gonçalves, Grace Chan, John Kramer, Victor Hesselbrock, George P. Danko, Robert M. Anthenelli |
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| Rok vydání: | 2017 |
| Předmět: |
Adult
Male Health (social science) Alcohol Drinking Adolescent Substance-Related Disorders 030508 substance abuse Amnesia Alcohol Marijuana Smoking Toxicology urologic and male genital diseases 03 medical and health sciences chemistry.chemical_compound Young Adult Substance Misuse Alcohol Use and Health 0302 clinical medicine Risk Factors medicine Genetics Humans 2.1 Biological and endogenous factors Psychology 030212 general & internal medicine Young adult Sibling Aetiology Original Research biology Siblings Substance Abuse Cannabis use biology.organism_classification Psychiatry and Mental health Alcoholism Good Health and Well Being chemistry Baseline characteristics Public Health and Health Services Alcohol intake Female Cannabis medicine.symptom 0305 other medical science |
| Zdroj: | Journal of studies on alcohol and drugs, vol 78, iss 1 Schuckit, MA; Smith, TL; Shafir, A; Clausen, P; Danko, G; Goncalves, PD; et al.(2017). Predictors of Patterns of Alcohol-Related Blackouts Over Time in Youth From the Collaborative Study of the Genetics of Alcoholism: The Roles of Genetics and Cannabis. JOURNAL OF STUDIES ON ALCOHOL AND DRUGS, 78(1), 39-48. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/30d720t3 |
| Popis: | ObjectiveAlcohol-related blackouts (ARBs) are anterograde amnesias related to heavy alcohol intake seen in about 50% of drinkers. Although a major determinant of ARBs relates to blood alcohol concentrations, additional contributions come from genetic vulnerabilities and possible impacts of cannabis use disorders (CUDs). We evaluated relationships of genetics and cannabis use to latent class trajectories of ARBs in 829 subjects from the Collaborative Study of the Genetics of Alcoholism (COGA).MethodThe number of ARBs experienced every 2 years from subjects with average ages of 18 to 25 were entered into a latent class growth analysis in Mplus, and resulting class membership was evaluated in light of baseline characteristics, including CUDs. Correlations of number of ARBs across assessments were also compared for sibling pairs versus unrelated subjects.ResultsLatent class growth analysis identified ARB-based Classes 1 (consistent low = 42.5%), 2 (moderate low = 28.3%), 3 (moderate high = 22.9%), and 4 (consistent high = 6.3%). A multinomial logistic regression analysis within latent class growth analysis revealed that baseline CUDs related most closely to Classes 3 and 4. The number of ARBs across time correlated .23 for sibling pairs and -.10 for unrelated subjects.ConclusionsBaseline CUDs related to the most severe latent ARB course over time, even when considered along with other trajectory predictors, including baseline alcohol use disorders and maximum number of drinks. Data indicated significant roles for genetic factors for alcohol use disorder patterns over time. Future research is needed to improve understanding of how cannabis adds to the ARB risk and to find genes that contribute to risks for ARBs among drinkers. |
| Databáze: | OpenAIRE |
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