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Record W2091297617 · doi:10.1249/mss.0000000000000547

Exercise Is Associated with a Reduction in Gestational Diabetes Mellitus

2014· article· en· W2091297617 on OpenAlexaff
Yaiza Cordero, Michelle F. Mottola, Juana Vargas, MAITE BLANCO, Ruben Barakat

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2014
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineGestational diabetesOdds ratioConfidence intervalRandomized controlled trialDiabetes mellitusPregnancyObstetricsInternal medicinePhysical therapyGestationEndocrinology

Abstract

fetched live from OpenAlex

PURPOSE: The objective of this study is to assess the effectiveness of a maternal exercise program (land/aquatic activities, both aerobic and muscular conditioning) in preventing gestational diabetes mellitus (GDM). METHODS: Three hundred and forty-two pregnant women from Spain (age, 33.24 ± 4.3 yr) without obstetric contraindications were recruited for a clinical randomized controlled trial. The intervention group (IG, n = 101) exercised for 60 and 50 min on land and in water, respectively, three times per week. The control group (n = 156) received usual standard care. RESULTS: The prevalence of GDM was reduced in the IG group (IG, 1%, n = 1, vs control group, 8.8%, n = 13 (χ1 = 6.84, P = 0.009)) with a significant risk estimate (odds ratio = 0.103; 95% confidence interval, 0.013-0.803). CONCLUSION: The exercise program performed during pregnancy reduced the prevalence of GDM by preserving glucose tolerance.

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)0.001
metaresearch head score (Gemma)0.003
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
Metaresearch0.0010.003
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)0.0010.000

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 head0.013
GPT teacher head0.279
Teacher spread0.265 · 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

Citations161
Published2014
Admission routes1
Has abstractyes

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