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Record W4390987293 · doi:10.1123/iscj.2023-0066

What Is Known About Mindfulness and Self-Compassion Among Sport Coaches? A Scoping Review

2024· review· en· W4390987293 on OpenAlexaff
Karin Hägglund, Göran Kenttä, Christopher R. D. Wagstaff, Marte Bentzen

Bibliographic record

VenueInternational Sport Coaching Journal · 2024
Typereview
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMindfulnessCLARITYSelf-compassionPsychologyCompassionPsychological interventionApplied psychologyExtant taxonClinical psychologyPsychotherapistPolitical science

Abstract

fetched live from OpenAlex

Mindfulness and self-compassion are two constructs positively related to well-being and mental health outside sport. Within sport, these constructs are emerging in research, yet the extant work has primarily been conducted with athlete samples. The aim of this scoping review was to provide a broad synthesis of the literature on mindfulness and self-compassion among coaches. Fourteen articles were included, 11 of them published 2019–2022. Of the 14 publications, the concepts studied were mindfulness ( n = 10), self-compassion ( n = 2), and a combination of both ( n = 2). The samples were predominantly male coaches (68.7%), and most of the studies targeted coaches at the elite or competitive level. The most common area studied was developing and testing interventions and programs, followed by depicting relationships of mindfulness or self-compassion with desirable outcomes. This review significantly extends the current knowledge by illuminating critical issues in this rapidly moving area of research; the need for conceptual and contextual clarity of mindfulness and self-compassion; methodological considerations, such as measures that may allow reliable comparison across studies; and the need to further explore the potential benefits of mindfulness and self-compassion for coaches for sustainability and performance.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0120.001

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.

Opus teacher head0.049
GPT teacher head0.408
Teacher spread0.359 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations12
Published2024
Admission routes1
Has abstractyes

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