An exploration of addiction in adults experiencing early-life stress: a metasynthesis
Bibliographic record
Abstract
OBJECTIVE: to review and synthesize qualitative research on the links between early-life stress and addiction behaviours in adulthood. METHOD: metasynthesis to review qualitative research findings based on procedures that outline how to identify themes or constructs across studies in a specific area. Comprehensive searches of multiple electronic databases were performed. The initial search yielded 1050 articles and the titles and abstracts were screened for inclusion based on predetermined criteria. Thirty-eight full text, peer-reviewed articles were retrieved and assessed by three independent reviewers. Twelve articles were eligible for full review and appraised using the Critical Appraisal Skills Programme (CASP) tools. RESULTS: the findings revealed that clear associations exist between early-life stress and addictive behaviours in adulthood, such as between trauma in childhood, violence, and addictive behaviours. A common theme in the findings indicates that participants turn to addictive substances as a way of strategically coping with stressful childhood experiences, regardless of the harmful side effects or detrimental social outcomes. CONCLUSION: it can be inferred that addiction may be viewed as a way to deal with adversity in childhood and that there is an interrelationship between addiction, domestic violence and crime.
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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 | 0.021 | 0.054 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.010 |
| Bibliometrics | 0.020 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 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".