The influence of an androgen deprivation therapy educational program on dyadic quality and intimacy for prostate cancer patients and their partners.
Bibliographic record
Abstract
178 Background: Androgen deprivation therapy (ADT) is a common treatment for advanced prostate cancer (PCa), but ADT typically impairs men’s sexual function and couples’ relationships. We offer an educational program to help PCa patients and their partners manage ADT related side effects and to maintain a strong dyadic relationship while the patient is on ADT. Methods: Patients and partners attended a one time 1.5 hour ADT Class. Patients received a copy of the book Androgen Deprivation Therapy: An essential guide for men with prostate cancer and their partners (DEMOS Health, NY), which covers how to manage ADT side effects and make healthy lifestyle changes. We emphasize the importance of physical exercise in preventing or reducing many of the side effects of ADT. 79 couples (patients = 68.8±7.5 years old, partners = 64.9±8.8 years old; relationship duration = 34.6±16.4 years) completed the Dyadic Adjustment Scale, the Personal Assessment of Intimacy in Relationships, and the Godin Leisure-Time Exercise questionnaires at baseline and again 2-3 months later to assess their relational intimacy and dyadic quality. At baseline 73% of patients either had not started or been on ADT for < 3 weeks. Results: Attending the ADT Educational Program was associated with improved dyadic adjustment and relational intimacy but age, relationship duration, baseline strain in the relationship and physical exercise all influence these effects. Specifically, dyadic cohesion improved in patients ≥68 years old. Recreational intimacy increased in patients ≤60 years old and for those in a relationship ≥50 years. Recreational intimacy also improved in partners who had been in a 20-49 years relationship or those reporting at baseline little strain in their relationship. Dyadic cohesion was maintained in participants who increased their frequency of physical exercise. For the above results, all P < 0.05. Conclusions: The ADT Educational Program improves dyadic cohesion and relational intimacy for some patients and partners but age, relationship duration, baseline quality of the relationship, and physical exercise frequency appear to influence the effectiveness of the program.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".