A Prospective Assessment of Reports of Drinking to Self-medicate Mood Symptoms With the Incidence and Persistence of Alcohol Dependence
Bibliographic record
Abstract
IMPORTANCE: Mood disorders and alcohol dependence frequently co-occur. Etiologic theories concerning the comorbidity often focus on drinking to self-medicate or cope with affective symptoms. However, there have been few, if any, prospective studies in population-based samples of alcohol self-medication of mood symptoms with the occurrence of alcohol dependence. Furthermore, it is not known whether these associations are affected by treatment or symptom severity. OBJECTIVE: To evaluate the hypothesis that alcohol self-medication of mood symptoms increases the probability of subsequent onset and the persistence or chronicity of alcohol dependence. DESIGN: Prospective study using face-to-face interviews-the National Epidemiologic Survey on Alcohol and Related Conditions. SETTING: Nationally representative survey of the US population. PARTICIPANTS: Drinkers at risk for alcohol dependence among the 43 093 adults surveyed in 2001 and 2002 (wave 1); 34 653 of whom were reinterviewed in 2004 and 2005 (wave 2). MAIN OUTCOMES AND MEASURES: Association of alcohol self-medication of mood symptoms with incident and persistent DSM-IV alcohol dependence using logistic regression and the propensity score method of inverse probability of treatment weighting. RESULTS: The report of alcohol self-medication of mood symptoms was associated with an increased odds of incident alcohol dependence at follow-up (adjusted odds ratio [AOR], 3.10; 95% CI, 1.55-6.19; P = .002) and persistence of dependence (AOR, 3.45; 95% CI, 2.35-5.08; P < .001). The population-attributable fraction was 11.9% (95% CI, 6.7%-16.9%) for incident dependence and 30.6% (95% CI, 24.8%-36.0%) for persistent dependence. Stratified analyses were conducted by age, sex, race/ethnicity, mood symptom severity, and treatment history for mood symptoms. CONCLUSIONS AND RELEVANCE: Drinking to alleviate mood symptoms is associated with the development of alcohol dependence and its persistence once dependence develops. These associations occur among individuals with subthreshold mood symptoms, with DSM-IV affective disorders, and for those who have received treatment. Drinking to self-medicate mood symptoms may be a potential target for prevention and early 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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".