MON-LB042 Health-Related Quality of Life in Women with Polycystic Ovary Syndrome/Anovulatory Androgen Excess versus Local Population-Based Control Women (from the British Columbia Canadian Multicentre Osteoporosis Study [BC CaMos])
Bibliographic record
Abstract
Polycystic Ovary Syndrome (PCOS) affects 5-20% of reproductive-aged women and is associated with lower Health-Related Quality of Life (HRQoL)1,2,3. HRQoL in PCOS, however, is often determined in small or clinical samples with no or convenience sample controls. Our aim was to cross-sectionally compare generic SF-36 HRQoL results in community dwelling, physician-diagnosed women with PCOS to randomly selected age-similar local women. Women with PCOS/AAE had enrolled in two local studies (n = 93)4, and were eligible if they were non-menopausal and had PCOS based on Androgen Excess/PCOS Society criteria. Eligibility in both groups required age ≤53 years and, for controls, menstruation in the last year. Control women were from both Adult and Youth BC CaMos cohorts (n = 56). All completed the interviewer-administered CaMos questionnaire5. Statistical analysis used descriptive, T-test and multiple regression to explore relationships among HRQoL domains/component scores versus demographic, anthropomorphic and comorbid condition variables, particularly body mass index (BMI), physical activity patterns and combined hormonal contraceptive (CHC) usage. We compared SF-36 data in pre/perimenopausal women mean aged 34.5±10.0 (SD) years, BMI 27.5±7.5. After controlling for BMI, education, comorbidities and past use of CHC, all HRQoL domain and component scores were significantly lower in women with PCOS then in controls. Domain score differences of 5 are clinically important; PCOS women scored -5.8 to -19.9 points lower (mean -11.6) with the greatest difference for Emotional Role. The Physical Component summary score was -2.2 and the Mental Component summary -7.2 lower in women with PCOS compared with population-based controls; score differences of 2-3 are considered clinically important. In both groups, participation in regular exercise was the strongest predictor of higher overall HRQoL. In both cohorts, comorbidity negatively predicted the physical component score (PCS) of HRQoL; PCOS status negatively predicted the mental component score of HRQoL. PCS group differences became less significant as BMI increased, but MCS remained significantly different. This first comparison of the validated, generic SF-36 in pre/perimenopausal population-based versus women with PCOS documented highly significantly lower scores in women with PCOS on all domains and both components. These data confirm evidence that participation in regular exercise is related to better overall HRQoL in PCOS. Also, obesity in women with PCOS, in contrast to controls, was not associated with the overall HRQoL. We also found that CHC was associated with general health, mental health and mental component scores in women with PCOS. Ref.1Prior JCEM 2014; 2Alvarez-Blasco Clin Endo 2010; 3Azziz Fertil Steril 2009; 4Kalyan Sci Reports 2017; 5Kreiger Can J. Aging 1999. Unless otherwise noted, all abstracts presented at ENDO are embargoed until the date and time of presentation. For oral presentations, the abstracts are embargoed until the session begins. Abstracts presented at a news conference are embargoed until the date and time of the news conference. The Endocrine Society reserves the right to lift the embargo on specific abstracts that are selected for promotion prior to or during ENDO.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".