Autoestima y consumo de cannabis en adolescentes: una revisión integrativa
Bibliographic record
Abstract
Objective: to identify the scientific evidence related to the influence of self-esteem on adolescent cannabis use. Materials and method: during the period of february-april 2022, an integrative review of the scientific literature published in the last ten years (2012-2022) was carried out. The six-step methodology proposed by Toronto and Remington was used in the BVS, PubMed, TRIP and Dialnet search engines, as well as in the Redalyc, Cochrane, EBSCOhost, Web of Science and CUIDEN databases. A total of 1,491 articles were found, when applying inclusion and elimination criteria, a total of ten quantitative studies were considered in the final sample. Results: it was found that adolescents with low self-esteem are prone to influences that encourage the initiation of cannabis use. When considered as a positive attitude of the person towards himself, it favors the feeling of security and regulates behavior through a process of self-evaluation, so that it enables adolescents to adapt to their environment. In this sense, three main categories were observed: moderator variable in cannabis use; predictor variable of cannabis use; and intervention component. Conclusions: the protective and predictive role of self-esteem for cannabis use in adolescents was demonstrated, likewise, early detection and interventions aimed at improving skills for the regulation of emotions influenced by cognitive factors are effective in the promotion and prevention of cannabis use in adolescents. Keywords: Self-esteem; Cannabis; Adolescent; Nursing; Mexico.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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; both teacher heads agree on what is shown here.
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".