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Record W2486836561

The association between birth weight and adulthood body fat mass in women with poly cystic ovary syndrome

2015· article· en· W2486836561 on OpenAlexaff
Sonia Minooee, Fahimeh Ramezani Tehrani, Parvin Mirmiran, Freidoun Azizi

Bibliographic record

VenueResearchOnline at James Cook University (James Cook University) · 2015
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsCanadian Obesity Network
Fundersnot available
KeywordsMedicineOvaryBody mass indexEndocrinologyInternal medicineObesityBody weightPhysiology
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Polycystic ovary syndrome (PCOS) is the most prevalent endocrinopathy in reproductive aged women. The association of early-life factors such as fetal adipose tissue and birth weight with adulthood outcomes like obesity, body fat mass (BFM) and body lean mass (BLM) is not clearly understood. We aimed to compare the association between birth weight and body composition in women with PCOS and normal controls. Materials and Methods: For this study we enrolled a total of 70 reproductive aged women with PCOS diagnosis, referring to the Reproductive Endocrinology Research Center and the same number of healthy women without polycystic ovaries by ultrasonography or hirsutism and/or anyovulatory other dysfunction were enrolled. Their birth weights were documented and their body composition was assessed, using standard measuring devices. Results: Cases were younger than the controls (29.7±4.9 versus 30.8±5.9 years) and had the same BMI (24.6±2.4 versus 24.8±4.5 kg/m2). Our study demonstrated that BFM and BLM are increased in adult PCOS women born underweight, compared to their normal counterparts (16± 4.7 versus 12.2± 4.1, P= 0.06 and 46.4±5.8 versus 41.1±5.8, P=0.07). Conclusion: The impact of fetal adipose tissue and birth weight on the occurrence adulthood obesity, BFM and BLM vary between women with and without 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
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 head0.018
GPT teacher head0.246
Teacher spread0.228 · 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.

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
Published2015
Admission routes1
Has abstractyes

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