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])
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».