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Record W4395008050 · doi:10.1111/jar.13229

The feasibility of an adapted virtual mindfulness intervention for Special Olympics athletes and their caregivers

2024· article· en· W4395008050 on OpenAlexaff
Brianne Redquest, Chris A. Clark, Hangsel Sanguino, Yona Lunsky, Sue Hutton, Jonathan A. Weiss, Tom Davies, Carly A. McMorris

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2024
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsYork UniversityUniversity of TorontoCentre for Addiction and Mental HealthAlberta Children's HospitalUniversity of Calgary
FundersChildren's Hospital FoundationSpecial Olympics
KeywordsMindfulnessIntervention (counseling)AthletesContext (archaeology)Mental healthPsychologyClinical psychologyPhysical therapyMedicinePsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Virtual mindfulness may be helpful for individuals with intellectual disabilities in the context of COVID-related disruptions of in-person programming, such as Special Olympics (SO). This study examined the feasibility of a virtual mindfulness intervention for SO athletes and their caregivers. METHOD: SO athletes (n = 44) and their caregivers (n = 29) participated in a 6-week adapted virtual mindfulness intervention. Athletes completed mindfulness and well-being questionnaires prior to, immediately following, and 3-months post-intervention. Caregivers completed questionnaires assessing their own stress, mindfulness, and well-being, as well as athlete mental health. Exit interviews were conducted immediately following the intervention. RESULTS: The intervention was feasible in terms of demand, implementation, acceptability, and limited testing efficacy. There were significant improvements in athlete well-being and mental health, and caregiver stress and mindfulness post-intervention. CONCLUSIONS: Adapted virtual mindfulness groups may be an effective intervention in improving the well-being of adults with intellectual disabilities and their caregivers.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.640
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.124
GPT teacher head0.410
Teacher spread0.285 · 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 designQualitative
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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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