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A systematic review of the relation between self‐compassion and depressive symptoms in adolescents

2019· review· en· W2955787455 on OpenAlex
Rachelle Pullmer, Jason J. Chung, Lindsay Samson, Sherene Balanji, Shannon L. Zaitsoff

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Adolescence · 2019
Typereview
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsSimon Fraser University
FundersCanadian Institutes of Health Research
KeywordsPsychologySelf-compassionDepressive symptomsRelation (database)Clinical psychologyDevelopmental psychologyCompassionPsychotherapistPsychiatryAnxietyMindfulness

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.022
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.039
GPT teacher head0.363
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it