REPORTS OF DRINKING TO SELF-MEDICATE ANXIETY SYMPTOMS: LONGITUDINAL ASSESSMENT FOR SUBGROUPS OF INDIVIDUALS WITH ALCOHOL DEPENDENCE
Bibliographic record
Abstract
BACKGROUND: Self-medication with alcohol is frequently hypothesized to explain anxiety and alcohol dependence comorbidity. Yet, there is relatively little assessment of drinking to self-medicate anxiety and its association with the occurrence or persistence of alcohol dependence in population-based longitudinal samples, or associations within demographic and clinical subgroups. METHODS: Hypothesizing that self-medication of anxiety with alcohol is associated with the subsequent occurrence and persistence of alcohol dependence, we assessed these associations using data from the National Epidemiologic Survey on Alcohol and Related Conditions, and examined these associations within population subgroups. This nationally representative survey of the US population included 43,093 adults surveyed in 2001-2002, and 34,653 reinterviewed in 2004-2005. Logistic regression incorporating propensity score methods was used. RESULTS: Reports of drinking to self-medicate anxiety was associated with the subsequent occurrence (adjusted odds ratio (AOR) = 5.71, 95% confidence interval (CI) = 3.56-9.18, P < .001) and persistence (AOR = 6.25, CI = 3.24-12.05, P < .001) of alcohol dependence. The estimated proportions of the dependence cases attributable to self-medication drinking were 12.7 and 33.4% for incident and persistent dependence, respectively. Stratified analyses by age, sex, race-ethnicity, anxiety disorders and subthreshold anxiety symptoms, quantity of alcohol consumption, history of treatment, and family history of alcoholism showed few subgroup differences. CONCLUSIONS: Individuals who report drinking to self-medicate anxiety are more likely to develop alcohol dependence, and the dependence is more likely to persist. There is little evidence for interaction by the population subgroups assessed. Self-medication drinking may be a useful target for prevention and intervention efforts aimed at reducing the occurrence of alcohol dependence.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.001 |
| 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".