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Record W2971826410 · doi:10.1123/cssep.2019-0009

Testing a Brief Coping Intervention for High-Performance Youth Soccer Players and Their Parents

2019· article· en· W2971826410 on OpenAlexaff
Katherine A. Tamminen, Kaleigh Ferdinand Pennock, Courtney Braun

Bibliographic record

VenueCase Studies in Sport and Exercise Psychology · 2019
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCoping (psychology)StressorPsychologyPsychological interventionClinical psychologySport psychologyRepeated measures designDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

The ability of young athletes to effectively cope with stressors is crucial for sustained sport enjoyment and participation, and parents play a key role in providing coping support. However, there is limited evidence for coping interventions directed at both youth athletes and their parents. The purpose of this study was to implement a coping workshop for youth athletes and also engage parents to provide them with information to support the development of coping skills among young athletes. Athlete–parent dyads from a high-performance soccer academy were assigned to either a 4-wk coping intervention or a control group using a matched quasi-experimental design. Survey data were analyzed using 2-factor repeated-measures ANOVAs and multiple-regression analyses. Results indicated that lower parental pressure and greater coping self-efficacy predicted lower stress in youth athletes. However, findings for the intervention in reducing overall stress and perceptions of parental pressure were not significant. Future coping intervention studies should address study design considerations related to timing, intervention modalities, and skill level of youth athletes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.068
GPT teacher head0.371
Teacher spread0.302 · 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 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".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

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