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Waist-to-Hip Ratio Is Positively Associated With Bioavailable Testosterone but Negatively Associated With Sexual Desire in Healthy Premenopausal Women

2005· article· en· W2128626512 on OpenAlexafffund
Sari M. van Anders, Elizabeth Hampson

Bibliographic record

VenuePsychosomatic Medicine · 2005
Typearticle
Languageen
FieldMedicine
TopicHormonal and reproductive studies
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaSimon Fraser University
KeywordsTestosterone (patch)BiomarkerInternal medicineWaist–hip ratioMenstrual cycleEndocrinologyAndrogenPopulationPsychologyHuman sexualityMedicineSexual desirePhysiologyWaistBody mass indexHormoneBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: We examined whether high waist-to-hip ratio (WHR) in women is a biomarker for increased testosterone (T) and higher levels of sexual desire. METHODS: Participants were 99 healthy nonobese premenopausal women. Trait levels of mean bioavailable T were estimated from three saliva samples collected at 8:00 am, 9:30 am, and 6:00 pm to 9:00 pm, controlling for phase of the menstrual cycle. Sexual desire was measured with the Sexual Desire Inventory. RESULTS: WHR was positively, although moderately, correlated with bioavailable T. WHR, but not T, was negatively correlated with level of sexual desire. CONCLUSIONS: These results confirm that the positive association between WHR and androgens seen in clinical populations also exists in the general population of healthy adult women. However, the relationship may not be strong enough in healthy women for WHR to serve as a useful biomarker of androgen levels in sexuality studies, especially given its association with other, perhaps negatively valued, morphologic attributes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.292
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), 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

Citations49
Published2005
Admission routes2
Has abstractyes

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