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Enregistrement W4415450330 · doi:10.1210/jendso/bvaf149.1912

MON-180 Weight Stigma is Prevalent Among People with Polycystic Ovary Syndrome in Canada: A Cross-Sectional Study

2025· article· en· W4415450330 sur OpenAlexaffabout
Claire Song, Robyn Vettese, Sascha Gill, Heidi Vanden Brink, Jamie L. Benham

Notice bibliographique

RevueJournal of the Endocrine Society · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueOvarian function and disorders
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésPolycystic ovaryStigma (botany)Weight managementAnxietyDepression (economics)Weight lossObesityWeight stigma

Résumé

récupéré en direct d'OpenAlex

Abstract Disclosure: M. Virk: None. C. Song: None. M. Bhogal: None. R. Vettese: None. S. Gill: None. H. Vanden Brink: None. J.L. Benham: None. Background: Polycystic ovary syndrome (PCOS) is a common endocrine-metabolic disorder affecting 10-13% of reproductive-aged people with ovaries globally, with significant metabolic and mental health implications. Current PCOS management emphasizes lifestyle and behavioral interventions. The objective of this study is to examine the prevalence of weight stigma among people with PCOS living in Canada and whether weight stigma is associated with differences in approaches to medical management and healthcare experiences. Methods: Participants aged 18 or older, residing in Canada, and self- or formally diagnosed with PCOS were recruited using purposive sampling to complete an online survey about their diagnostic experiences and management for PCOS. The survey was co-designed with a patient partner and conducted via Qualtrics from August 1 to October 16, 2024. For the present analyses, data were stratified by those who reported experiencing weight stigma and those who did not. T-tests with unequal variance and two-sided tests of proportions were used to evaluate differences between groups. Results: Among 480 respondents, 362 (75%) reported experiencing weight stigma while 118 (25%) denied experiencing weight stigma. Individuals with PCOS who reported weight stigma were of older age than those who had not experienced weight stigma (31.1 years vs. 23.9 years, p <0.001) and were more likely to have been diagnosed with insulin resistance (75% vs. 43%, p <0.0001). Depression (70% vs 50%, p <0.0001), anxiety (86% vs 79%, p <0.05), eating disorders (37% vs 19%, p <0.0005) and body image concerns (89% vs 55%, p <0.0001) were more frequently reported among those who had experienced weight stigma than those who had not. Among those who reported experiencing weight stigma, 307 (85%) were advised to lose weight as part of PCOS management, compared to 30 (25%) who had not experienced weight stigma (p <0.001). Efforts to make dietary modifications to treat PCOS were significantly more common among those experiencing weight stigma, with 336 (93%) reporting such attempts compared to 85 (72%) of those without weight stigma (p <0.001). However, among all respondents, only 197 (54%) of those who reported experiencing weight stigma received support for their dietary goals, compared to 73 (62%) of those without weight stigma (p=0.048). Physical activity levels were similar between groups (p=0.48). Conclusion: Weight stigma is highly prevalent among individuals with PCOS. Those experiencing weight stigma reported higher rates of metabolic and mental health conditions, were more likely to be advised to lose weight, yet received less supportive care for dietary goals. These findings highlight the need for stigma-free, patient-centered approaches to improve PCOS management and overall well-being. Presentation: Monday, July 14, 2025

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,909

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,009
Tête enseignante GPT0,256
Écart entre enseignants0,247 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission2
Résumé présentoui

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