Female partner experiences of prostate cancer patients’ engagement with a community-based football intervention: a qualitative study
Bibliographic record
Abstract
BACKGROUND: Prostate cancer is often labelled a couple's disease wherein the partner plays an important role in the man's illness management and related health promotion activities. The aim of this study was to explore partner experiences of prostate cancer patients' engagement with a community-based football program. METHODS: Eight audio-visual recorded semi-structured focus group interviews were conducted with a total of 39 female partners of men with prostate cancer who participated in a community-based football program as part of the nationwide FC Prostate Community Trial (NCT02430792). Data was managed with the software program Nvivo 11 and analysed inductively to derive thematic findings. RESULTS: The four thematic findings were: 1) 'Hope of a new beginning' which included stories of hope that football would mitigate the negative effects of men's prostate cancer treatment [s]; 2) 'My new partner' was characterized by attributing connections between physical activity and elevated mood as a by-product of men's involvement in the program; 3) 'Football first' included assertions of the couples mutual commitment to the football program; and 4) 'Invisible needs' contrasted insecurity, and unforeseen challenges for partners feeling somewhat neglected. Overall, the results confirm the need for cohesion and flexibility amongst couple-dyads to ensure partners and men with prostate cancer benefit from their involvement in football programs. CONCLUSIONS: This study indicates that partners of prostate cancer survivors' engaging with community-based football align to idealized gender relations, roles and identities. In many instances, these gendered dimensions aided positive dyadic coping and long-term exercise adherence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".