Breast satisfaction in adult women with Turner syndrome—An international survey employing the BREAST‐Q questionnaire
Bibliographic record
Abstract
OBJECTIVE: Turner syndrome (TS) is associated with short stature, delayed puberty, primary ovarian insufficiency, and other features. Most girls with TS require oestrogen replacement for pubertal induction. There is paucity of data in adult TS on pubertal outcomes, including breast satisfaction. Here, we assess breast satisfaction in TS with the BREAST-Q questionnaire, a well-validated patient-related outcome measure (PROM). DESIGN: International survey distributed online through TS support groups. PATIENTS: Adult women aged 18-45 years with TS (self-reported). MEASUREMENTS: The questionnaire contained demographics, health history and the four domains of the BREAST-Q. BREAST-Q scores were matched on a one-to-one basis for age, body mass index (BMI) and educational background to a normative data set derived from the 'Army of Women', an online community of healthy volunteers. RESULTS: Of 97 total responses, 74 could be matched to the control cohort. Median age was 32 years (18-45 years) and 97% were White Caucasian. Median age at menarche was 15.5 years (12-34 years), 86% had received pubertal induction therapy as teenagers. We found significantly lower BREAST-Q scores in TS in the domains 'Satisfaction with Breast' (p = .021), 'Psychosocial Wellbeing' (p < .0001) and 'Sexual Wellbeing' (p < .0001). TS who had received oestrogen replacement therapy reported lower scores compared to TS who had not received oestrogen therapy (p < .0001). Lower BMI and previous growth hormone therapy were associated with lower breast satisfaction. CONCLUSIONS: TS women who received oestrogen replacement for pubertal induction self-report lower breast satisfaction scores and late menarche, suggesting that type, mode of delivery, dose and timing of hormone supplements merit prospective study.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".