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Disrupted Sleep Behaviors are associated with PCOS Risk in Post-Menarcheal Adolescents

2025· article· en· W4411875773 on OpenAlexaboutno aff
Elizabeth Goen, Joelle Sfeir, Marla E. Lujan, Tania S. Burgert, Romina Barral, Heidi Vanden Brink

Bibliographic record

VenuePhysiology · 2025
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsSleep (system call)MedicinePhysiologyPsychologyDevelopmental psychologyPediatrics

Abstract

fetched live from OpenAlex

Introduction: Polycystic Ovary Syndrome (PCOS) is a common endocrine disorder that often develops during adolescence. Disrupted sleep and altered circadian rhythm contribute to obesity and insulin resistance—both risk factors for PCOS—and may play a role in its pathophysiology. While cross-sectional studies suggest a connection, they provide limited insight into the relationship between sleep behavior and PCOS onset. The objective of this ancillary study was to determine whether morning or evening preference, and indicator of circadian rhythm, and sleep disturbances, sleep hygiene, and sleep quality within the first-year post-menarche are associated with PCOS, diagnostic features of PCOS, or metabolic abnormalities associated with PCOS. We hypothesized that poor sleep behaviors and eveningness preference in early post-menarche will correlate with future PCOS onset. Methods: A secondary analysis of a prospective cohort study in post-menarcheal adolescents (n=31). Study visits were timed with gynecological age: 6-10 months, 11-13-, 17-19-, and 23-25 months post-menarche. At each study visit, participants completed two sleep questionnaires: the Morningness/Eveningness and Children's Reports of Sleep Patterns questionnaires. Responses during the first year (6-10 months and 11-13 months) were evaluated individually and averaged, to assess sleep disruptions during the first post-menarcheal year. Whether sleep variables within the first gynecological year were associated with either PCOS onset at the end of study participation or individual PCOS symptoms were evaluated using Mann-Whitney U-Tests and Spearman’s rank correlation coefficients. Results: Adolescents who met criteria for PCOS at the end of study participation (n=7) had higher Morningness-Eveningness Scale (MES) scores, indicating a stronger morning preference, during the first year post-menarche (6–10 months after menarche) versus those who developed regular menstrual cycles with no androgen excess (n=10) (32 [31–33] vs. 26 [22–28], p = 0.04). A stronger morning preference also correlated with a higher free androgen index (rho = 0.689, p=0.001), which is a diagnostic feature of PCOS. Greater sleepiness scores during first year post-menarche were associated with lower Sex Hormone Binding Globulin (rho = -0.505, p =0.009), while sleepiness at one-year post-menarche showed a trend toward higher fasting insulin levels at the study's end (rho = 0.411, p=0.064). Lower sleep disturbance scores averaged over the first year were associated with higher total testosterone (rho = -0.483, p =0.013), and a stronger morning preference over the same period showed a trend toward higher total testosterone (rho = 0.368, p = 0.084). warranting further research into whether morningness preference reflects inherent circadian differences in adolescents predisposed to PCOS. Conclusion: Circadian preferences and sleep patterns may influence PCOS development in the early post-menarcheal years, however studies are needed with larger samples to support this finding. Additional research is underway to evaluate overnight melatonin production as a physiological biomarker of sleep disturbances. Funding support: National Institutes of Health (PI: M Lujan), Canadian Institutes of Health Research (PI: H Vanden Brink), and Texas A&M AgriLife (PI: H Vanden Brink). This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

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 score0.017
Threshold uncertainty score0.712

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 head0.008
GPT teacher head0.283
Teacher spread0.275 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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