Prevención de complicaciones biopsicosociales en adolescentes con consumo de sustancias adictivas: una revisión integrativa
Bibliographic record
Abstract
Introduction: the beginning of the consumption of addictive substances in adolescents has severe implications for their long-term health, enabling the development of diseases, emotional problems and social isolation. The adoption of consumer habits can lead to abuse and dependence and have a biopsychosocial impact. Objective: identify the main biopsychosocial complications in adolescents who consume addictive substances. Method: the methodology proposed by Toronto & Remington (2020) was used; the process of evaluation and selection of articles with a quantitative approach, the eligibility criteria instrument for the selection of research articles (ICrESAI) was used and the evaluation of randomized clinical trials using a checklist with consolidated standards for trial reporting (Consort). Results: 18 articles were analyzed, ten of them RCTs, seven RCT pilot studies, and one longitudinal quantitative study. Discussion and conclusions: three intervention approaches to the consumption of addictive substances in adolescents were found, which respond to biological, psychological and social complications that impact the growth and development of adolescents. The consumption of alcohol, marijuana and nicotine is related to the impact on mental health, which leads to an increase in offending behavior, car accidents and self-inflicted violence. There is a need to structure prevention interventions against the consumption of addictive substances with an impact on mitigating complications that compromise the mental health of adolescents.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.031 | 0.048 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.008 |
| Bibliometrics | 0.020 | 0.011 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".