AUD Risk, Diagnoses, and Course in a Prospective Study Across Two Generations: Implications for Prevention.
- Authors
- Schuckit, Marc A
- Year
- 2022
- Journal
- Alcohol research : current reviews
- PMID
- 35036241
- DOI
- 10.35946/arcr.v42.1.01
- PMCID
- PMC8747891
This article is part of a Festschrift commemorating the 50th anniversary of the National Institute on Alcohol Abuse and Alcoholism (NIAAA). Established in 1970, first as part of the National Institute of Mental Health and later as an independent institute of the National Institutes of Health, NIAAA today is the world's largest funding agency for alcohol research. In addition to its own intramural research program, NIAAA supports the entire spectrum of innovative basic, translational, and clinical research to advance the diagnosis, prevention, and treatment of alcohol use disorder and alcohol-related problems. To celebrate the anniversary, NIAAA hosted a 2-day symposium, "Alcohol Across the Lifespan: 50 Years of Evidence-Based Diagnosis, Prevention, and Treatment Research," devoted to key topics within the field of alcohol research. This article is based on Dr. Schuckit's presentation at the event. NIAAA Director George F. Koob, Ph.D., serves as editor of the Festschrift.
The level of response (LR) modelA low LR to alcohol, which is often associated with a family history of alcohol use disorder (FHalc), increases the risk for heavy drinking and alcohol problems (HD & Probs) both directly and indirectly, through association with heavier-drinking peers (Peer), expectations that heavy drinking is desirable (Expect), and use of alcohol to cope with stress (Cope).31,37,42Source: Adapted from Schuckit et al. (2004).19 Reprinted with permission.
LLM interpretation
This figure is a conceptual diagram (path model) illustrating the direct and indirect relationships between family history of alcohol use disorder (FHalc) and heavy drinking and alcohol problems (HD & Probs). The model shows that FHalc leads to a low level of response (Low LR), which then influences HD & Probs both directly and indirectly through three mediating variables: Peer, Expect, and Cope. Arrows indicate the direction of these hypothesized causal pathways.
Maximum number of drinks consumed per occasion by students with low (panel A) or high (panel B) level of response (LR) to alcohol over 55 weeks in the San Diego Prevention StudyBlue lines and circle symbols represent students who had watched four videos with LR-based information, orange lines and square symbols represent students who had watched four videos with general alcohol education, and black lines and diamond symbols represent control students who had watched no videos. Source: Adapted from Schuckit et al. (2016).43 Reprinted with permission.
LLM interpretation
This figure consists of two line graphs (Panels A and B) showing the maximum number of drinks consumed per occasion over 55 weeks for students with low (A) and high (B) levels of response to alcohol. The x-axis represents time in weeks (Base to 55) and the y-axis represents the maximum number of drinks. Three groups are compared: students who watched LR-based information videos (blue/circles), general alcohol education videos (orange/squares), and a control group (black/diamonds).
| # | Section | Preview |
|---|---|---|
| 20 | Decreasing Risk of Adverse Outcomes in People With Low LR | The study found that among the participants with low LR, the average maximum number of drinks per… |
| 21 | Decreasing Risk of Adverse Outcomes in People With Low LR | This study joins several others44,45 that underscore the potential importance of targeting a… |
| 22 | Conclusions | Long-term prospective studies such as SDPS with its follow-up component provide an opportunity to… |
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External
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|---|---|---|---|---|
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| Association Between GABRG2 and Self-Rating of the Effects of Alcohol in a French Young Adult Sample. | Moe JS et al. | — | 2025 | → |
| Body Mass Index Is Inversely Associated With Level of Response to Alcohol: Role of Total Body Water. | Vergeer RR et al. | — | 2025 | → |
| Evaluations of potential sex differences in alcohol use and problems in 454 offspring from the San Diego Prospective Study. | Schuckit MA et al. | — | 2025 | → |
| Frontal Brain N-Acetylaspartate at Treatment Entry is Related to Future World Health Organization Risk Drinking Levels in Individuals With Alcohol Use Disorder. | May AC et al. | — | 2025 | → |
| High prevalence of alcohol use disorders in 454 young adult offspring from the San Diego prospective study. | Schuckit MA et al. | — | 2025 | → |
| Methodological Challenges and Insights in Research on Racial Discrimination and Substance Use Among Black College Students: A Scoping Review. | Peoples JE et al. | — | 2025 | → |
| Psilocybin in alcohol use disorder and comorbid depressive symptoms: Results from a feasibility randomized clinical trial. | Luquiens A et al. | — | 2025 | → |
| Latent Trajectories of Persistence of Cannabis Use Across Four Decades in 329 Men From the San Diego Prospective Study. | Schuckit MA et al. | — | 2024 | → |
| Retrospective self-reports of sensitivity to the effects of alcohol: Trait-like stability and concomitant changes with alcohol involvement. | Kohen CB et al. | — | 2024 | → |
| Do personality characteristics predict future alcohol problems after considering current demography, substance use, and alcohol response? | Schuckit MA et al. | — | 2023 | → |
| Dihydromyricetin Protects Against Ethanol-Induced Toxicity in SH-SY5Y Cell Line: Role of GABA<sub>A</sub> Receptor. | Getachew B et al. | — | 2022 | → |
| NIAAA 50th Anniversary Festschrift: From the Editor. | Koob GF | — | 2022 | → |