The Continuum of Recovery from Alcohol Dependence: From Addiction Remission to Complete Mental Health
Bibliographic record
Abstract
BACKGROUND: Few representative studies have examined optimal mental health among those with a history of alcohol dependence (AD). OBJECTIVES: In a representative sample of Canadians with a history of AD, to determine prevalence of, and factors associated with 1) remission from AD, 2) the absence of Substance Dependence and Psychiatric Disorders (SDPD) in the past year, and 3) complete mental health (CMH). METHOD: Secondary analysis of a publicly available Statistics Canada database, the 2012 Canadian Community Health Survey-Mental Health (820 adults with AD history; 19,945 without AD). Lifetime AD, past-year remission from AD, and previous 12-month absence of SDPD were determined using World Health Organisation Composite International Diagnostic Interview (WHO-CIDI) measures. Individuals are classified as being in CMH if they possessed social and psychological well-being, happiness or life satisfaction and absence of SDPD. RESULTS: Over 70% of those with a history of AD were in remission, 52% were without past-year SDPD, and 38% of respondents were in CMH. Positive outcomes were more common among married respondents, older individuals, those with higher level of social support, and those who had never had major depressive disorders or generalised anxiety disorders. CONCLUSION: The majority of Canadians with a history of AD achieve remission and a significant proportion achieve CMH. However, targeted outreach is warranted for the most vulnerable with a history of alcohol dependence, including younger respondents and those with low levels of social support or a history of mental illness. Supplemental data for this article is available online at https://doi.org/10.1080/10826084.2021.1922451.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".