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Associations Between Extreme/Adventure Sport, Exercise Growth and Posttrauamtic Growth Among Gynecologic Cancer Survivors

2015· article· en· W2469547732 on OpenAlexaffabout
Jennifer Crawford, Nicholas L. Holt, Jeff K. Vallance, Kerry S. Courneya

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2015
Typearticle
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsAthabasca University
Fundersnot available
KeywordsAdventurePosttraumatic growthMedicineEndometrial cancerDemographyPsychologyGerontologyPhysical therapyCancerClinical psychologyInternal medicine

Abstract

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PURPOSE: Exercise is associated with posttraumatic growth in gynecologic cancer survivors (GCS) but the role of extreme/adventure sport has not been investigated. The primary objective of this study was to examine the prevalence and interest in extreme/adventure sport in GCS and determine any associations with posttraumatic growth. METHODS: A Canadian provincial cancer registry generated a random sample of 2,064 GCS stratified by cancer type (i.e., cervical, endometrial, and ovarian) who were mailed a self-report survey that assessed demographic and medical variables, participation and interest in extreme/adventure sports, posttraumatic growth using several scales, and exercise growth. Exercise growth examined the extent to which the gynecologic cancer diagnosis itself prompted participation in more challenging, novel, and/or high risk activities. RESULTS: Of the 621 completed surveys, only 12.1% of GCS reported participating in extreme/adventure sports in the past year. Of 309 GCS interested in a future exercise study, 41.1% were interested in trying extreme/adventure sports. The strongest interest was for cross country skiing (56.9%) followed by horseback riding (51.5%) and river rafting (41.5%). After adjustment for key covariates, neither participation nor interest in extreme/adventure sport was associated with posttraumatic growth. However, all exercise growth items were significantly associated with all posttraumatic growth scales (all p’s<0.05). In multivariate regression analyses, exercise growth items explained 37.2 % of the variance in the posttraumatic growth inventory, 7.2% of the variance in the negative impact of cancer scale, 19.9% of the variance in the positive impact of cancer scale, and 23% of the variance in the benefit finding scale (all p’s<0.001). CONCLUSIONS: Participation and interest in extreme/adventure sports were not associated with posttraumatic growth; however, exercise growth was strongly associated with posttraumatic growth in GCS.

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)0.003
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 score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.292
Teacher spread0.263 · 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

Citations0
Published2015
Admission routes2
Has abstractyes

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