Testing the four-factor model of personality vulnerability to alcohol misuse: A three-wave, one-year longitudinal study.
Bibliographic record
Abstract
The 4-factor model of personality vulnerability identifies 4 personality risk factors for alcohol misuse: hopelessness, anxiety sensitivity, impulsivity, and sensation seeking. These personality traits are associated with distinct mechanisms and motivations for alcohol misuse. Individuals high in hopelessness drink to regulate dysphoric affect, while those high in anxiety sensitivity drink to reduce anxiety and to conform to peer expectations. Individuals high in sensation seeking are highly sensitive to the rewarding properties of alcohol, and misuse alcohol to maximize enjoyment. Impulsivity is a broad risk factor contributing to all drinking motives. We hypothesized that personality vulnerabilities would indirectly predict alcohol quantity and problems through specific drinking motives theorized by the 4-factor model. The present study tested hypotheses using a 3-wave, 1-year longitudinal study of undergraduate drinkers (N = 302). Data were analyzed using multilevel path analysis. Hopelessness and impulsivity were positively related to drinking motives in the expected fashion. Anxiety sensitivity was related to coping-anxiety and conformity motives only in the between-subjects model (partially supporting hypotheses), while sensation seeking was generally unrelated to all drinking motives and alcohol outcomes (failing to support hypotheses). Enhancement motives predicted alcohol quantity and problems at both levels, coping-depression motives predicted alcohol problems at the between-subjects level only, and coping-anxiety, conformity, and social motives failed to predict alcohol outcomes beyond other motives. Overall, this study partially supports the 4-factor model, with the strongest support emerging for impulsivity and hopelessness. This study suggests that personality traits such as impulsivity and hopelessness may be important targets in prevention and treatment with undergraduate drinkers.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".