Alcohol Sensitivity Moderates the Indirect Associations Between Impulsive Traits, Impaired Control Over Drinking, and Drinking Outcomes
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to examine impaired control over drinking behavior as a mediator of unique pathways from impulsive traits to alcohol outcomes in young adults. We also sought to investigate the moderating influence of self-reported sensitivity to alcohol on these pathways. METHOD: Young adult heavy drinkers (N = 172; 82 women) recruited from the community completed self-report measures of impulsive traits (positive urgency, negative urgency, sensation seeking), alcohol sensitivity (Self-Rating of the Effects of Alcohol scale), impaired control over drinking, and alcohol use and problems. Multiple-groups path analysis was used to analyze the data. RESULTS: Path coefficients between urgency and impaired control were larger for individuals with lower versus higher self-reported sensitivity to alcohol. The same was true for the association between impaired control and alcohol problems. For participants lower on alcohol sensitivity, significant indirect paths were observed from both positive and negative urgency to all alcohol outcomes (quantity, frequency, and problems) mediated via impaired control. For participants higher on alcohol sensitivity, only the paths from negative urgency (but not positive urgency) to the three alcohol outcomes via impaired control were statistically significant. Sensation seeking was not uniquely associated with impaired control. CONCLUSIONS: The findings indicate that relatively low sensitivity to the pharmacological effects of alcohol may strengthen the association between urgency--especially positive urgency--and impaired control, supporting the notion that personality and level of response to alcohol may interact to increase risk for impaired control over drinking.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".