A systematic review of the relation between self‐compassion and depressive symptoms in adolescents
Bibliographic record
Abstract
Research on self-compassion and depressive symptoms is growing at an exponential pace. This systematic review provides an in-depth exploration of the relation between self-compassion and depressive symptoms in adolescents. In accordance with PRISMA guidelines, MEDLINE, CINAHL, and PsycINFO databases were systematically searched and 18 studies were identified. Results demonstrate the potentially pertinent role that self-compassion may play in the development, maintenance, and treatment of depression in adolescents, yet reflect on the paucity of research on this topic with respect to mechanisms of change. These studies further highlight how the impact of self-compassion may differ according to gender and age and underscore the need to account for other diversity-related variables, such as ethnic-racial group, socioeconomic status, and sexual orientation. Despite such limitations in the literature, the current findings extend research in adults by providing support for the relevance of self-compassion in adolescence, particularly with respect to the prevention of depressive symptoms.
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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 | 0.006 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".