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Record W4391655491 · doi:10.1080/02701367.2023.2298740

Collegiate Athletes’ Cognitive Beliefs Related to Setback Anxiety and Rumination in Sport

2024· article· en· W4391655491 on OpenAlexaffabout
Lia M. Daniels, Amber D. Mosewich

Bibliographic record

VenueResearch Quarterly for Exercise and Sport · 2024
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of AlbertaThompson Rivers University
Fundersnot available
KeywordsSetbackRuminationAthletesAnxietyPsychologyClinical psychologyPsychological interventionWorryCognitionSocial psychologyDevelopmental psychologyMedicinePhysical therapyPsychiatryEngineering

Abstract

fetched live from OpenAlex

Setbacks are common occurrences in sport. Recently, setbacks such as injuries and deselection have been accompanied, and confounded, by setbacks related to COVID-19. How students manage a setback may depend on the interaction of two control beliefs: primary control (PC) to directly influence the setback and secondary control (SC) to adjust to it. Purpose: This study investigates the relationships between athletes’ PC and SC and two important sport setback-related outcomes—anxiety and rumination. Method: We employed a cross-sectional design examining collegiate athletes in the USA and Canada (N = 200; Mage = 20.9 years, 143 women, 52 men, 3 non-binary, 2 did not disclose). Using regression tests controlling for setback severity, we examined the interaction effects of athletes’ PC and SC beliefs relative to setbacks, on the anxiety and rumination variables. Results: We found SC beliefs were beneficial to setback-related anxiety and rumination. A significant interaction indicated that particularly when PC was low, SC had negative associations with setback-related anxieties about letting others down (β = –.45, p < .001) and experiencing pain (β = –.37, p < .001). Conclusion: The findings suggest SC beliefs are important for managing setbacks—specifically for attenuating harmful rumination, and specific setback anxieties. We discuss the possibility of enhancing SC beliefs for combatting sport setbacks through control-enhancing interventions as a direction for future research.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.918
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.055
GPT teacher head0.445
Teacher spread0.390 · 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.

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".

Quick stats

Citations5
Published2024
Admission routes2
Has abstractyes

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