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Record W4411918919 · doi:10.1016/j.yfrne.2025.101203

The overlooked mental health burden of polycystic ovary syndrome: neurobiological insights into PCOS-related depression

2025· article· en· W4411918919 on OpenAlexafffund
Eleni Dubé‐Zinatelli, Freya Anderson, Nafissa Ismail

Bibliographic record

VenueFrontiers in Neuroendocrinology · 2025
Typearticle
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPolycystic ovaryDepression (economics)Mental healthMedicinePsychologyPsychiatryClinical psychologyInternal medicineInsulin resistanceObesity

Abstract

fetched live from OpenAlex

Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder affecting 6-13% of reproductive-aged women worldwide. It is primarily characterized by ovarian dysfunction, hyperandrogenism, and metabolic disturbances. However, women with PCOS also face a heightened risk of depression, possibly due to dysregulation in endocrine and immune systems and gut microbiome disturbances. Symptoms of PCOS such as infertility, obesity, and hirsutism can also cause psychological distress and further exacerbate depression symptoms. Despite this comorbidity, mental health aspects of PCOS are often overlooked in the medical field, leading to insufficient support and negative impacts on the quality of life of PCOS patients. This review explores how distinct PCOS phenotypes influence physiological and psychological outcomes and the possible biological mechanisms involved. We also examine the effects of existing treatments on PCOS symptoms and depression. Addressing both physiological and psychological challenges is crucial for developing targeted, personalized interventions that improve outcomes for individuals diagnosed with PCOS.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.549

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.251
Teacher spread0.244 · 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

Citations12
Published2025
Admission routes2
Has abstractyes

Explore more

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