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Self-compassion and stress responses among early adolescents

2025· article· en· W4416538592 on OpenAlexafffund
Gabriel Zieff, Taylyn Jameson, Alison Nutini, Ashley M. Battaglini, Ellen Jopling, Bronwen Grocott, Katerina Rnic, Eli Puterman, Joelle LeMoult

Bibliographic record

VenuePsychoneuroendocrinology · 2025
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsBC Children's HospitalUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchMichael Smith Health Research BC
KeywordsAffect (linguistics)Stress (linguistics)Fight-or-flight responseStress measuresPsychological stress

Abstract

fetched live from OpenAlex

INTRODUCTION: Self-compassion is an adaptive means of relating to oneself that encompasses elements of self-kindness, common humanity, and mindfulness. Self-compassion has positive associations with health and may dampen biological and psychological stress responses, which would be particularly helpful for those with a history of early life adversity. The purpose of this study was to determine i) the association of trait self-compassion with cortisol and affective responses to an acute psychosocial stressor among early adolescents, and ii) whether this association differed by exposure to early life adversity (e.g., abuse, neglect). METHODS: Eighty-three early adolescents (M = 12.86 years; 47 % girls, 1 % non-binary) self-reported their trait self-compassion, completed a structured interview-based assessment to assess threat- and deprivation-related exposures to early life adversity, and underwent a psychosocial laboratory stressor (Trier Social Stress Test for Children; TSST-C). Salivary cortisol and self-reported positive and negative affect were measured at six timepoints before, during, and for 30 min following the stressor. We tested associations of self-compassion with trajectories (reactivity, recovery) and total levels (area under the curve with respect to ground; AUCg) of cortisol and positive and negative affect across the TSST-C, as well as moderating effects of early life adversity. Hierarchical linear models were used to test trajectories, and linear regression was used to test AUCg, with unstandardized (B) and standardized beta coefficients (β) reported, respectively. RESULTS: Self-compassion was not associated with total cortisol levels or trajectories of cortisol, positive affect, or negative affect (all p > 0.057). However, greater self-compassion was associated with higher sample 1 positive affect, B = 1.815, t(71) = 2.84, p = .006, and greater total positive affect levels, β = 0.411, t(62) = 3.90, p < .001. Similarly, self-compassion was associated with lower sample 1 negative affect, B = -1.261, t(72) = -2.35, p = 0.022, and less total negative affect levels, β = -0.269, t(75) = -2.45, p = 0.017. Additionally, sensitivity analyses indicated that at higher levels of early-life threat exposure, greater self-compassion was associated with higher sample 1 positive affect. CONCLUSION: Among adolescents - including those exposed to threat-related forms of early life adversity- self-compassion may impart more general, diffuse beneficial effects on affect rather than buffering affective or cortisol responses to an acute stressor.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.323
Teacher spread0.306 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations1
Published2025
Admission routes2
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