Sexual functioning in breast cancer survivors experiencing body image disturbance
Bibliographic record
Abstract
BACKGROUND: Breast cancer treatments and the traumatic nature of the cancer experience frequently elicit considerable sexual difficulties. Breast cancer survivors (BCS) experiencing body image (BI) issues may represent a vulnerable group for developing sexual dysfunction posttreatment. The current study explores sexual functioning (SF) in this unique clinical group. METHODS: A descriptive study assessed 127 BCS who were engaged in sexual activity. Standardized baseline measures included the following: BI Scale, BI after Breast Cancer Questionnaire, Female Sexual Function Index (FSFI), Kansas Marital Satisfaction Scale, and Functional Assessment of Cancer Therapy - Breast. Levels of SF were compared with BCS, heterogeneous cancer, and healthy female populations. Correlational analyses were conducted between SF, BI, relationship, and health-related quality of life variables. Guided by a conceptual framework, regression analyses were conducted to determine significant demographic, clinical, and psychosocial predictors of sexual desire, satisfaction, and overall SF. RESULTS: Eighty-three per cent of BCS met the FSFI clinical cutoff score for a sexual dysfunction. Participants exhibited poorer SF when compared with other female cancer and healthy groups. No significant correlations were found between BI questionnaire total scores and SF. BI after Breast Cancer Questionnaire - Body Stigma subscale showed significant associations with FSFI Arousal, Orgasm, Satisfaction (average r = -0.23), and overall SF (r = -0.25). Vaginal dryness (β = -0.50), body stigma (β = -0.24), and relationship satisfaction (β = 0.27) were significant predictors of overall SF. CONCLUSION: Difficulties in SF appear to be highly prevalent in BCS experiencing BI disturbance posttreatment. Brief screening tools assessing SF should adopt a biopsychosocial model, which includes questions regarding vaginal dryness, relationship satisfaction, and body stigma issues.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".