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Record 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 on OpenAlexaffabout
Claire Song, Robyn Vettese, Sascha Gill, Heidi Vanden Brink, Jamie L. Benham

Bibliographic record

VenueJournal of the Endocrine Society · 2025
Typearticle
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPolycystic ovaryStigma (botany)Weight managementAnxietyDepression (economics)Weight lossObesityWeight stigma

Abstract

fetched live from 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

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.909

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.256
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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