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Record W4281724100 · doi:10.2337/db22-243-or

243-OR: Effect of Menstrual Cycle on Glycemic Responses to Exercise in Female Participants with Type 1 Diabetes

2022· article· en· W4281724100 on OpenAlexaff
Zeinab Momeni, Jane E. Yardley

Bibliographic record

VenueDiabetes · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsGlenrose Rehabilitation Hospital
Fundersnot available
KeywordsLuteal phaseInternal medicineEndocrinologyMedicineMenstrual cycleFollicular phaseGlycemicType 2 diabetesHypoglycemiaType 1 diabetesAerobic exerciseDiabetes mellitusHormone

Abstract

fetched live from OpenAlex

Fear of hypoglycemia is a major barrier to exercise in people with type 1 diabetes (T1D) . Females with T1D tend to be less active than males with T1D, which might be due to significant knowledge gaps around blood glucose responses to exercise, especially with regards to the menstrual cycle. We compared the effect of a moderate aerobic exercise (cycling at 50% of pre-determined VO2peak for 45 min) on glycemic responses between the early follicular and late luteal phases of the menstrual cycle in 9 female participants with T1D (mean±SD: age 30.2±9 years, A1C 7.4±0.7%, VO2peak 32.5±4.2 mL/kg/min) with regular menstrual cycles not using oral contraceptives. In both phases, serum glucose decreased from pre to post exercise and increased throughout the 60-min recovery (effect of time p<0.05) but was not significantly different between the two phases (effect of phase p>0.05) . Serum insulin (log transformed) decreased from pre to post exercise in both phases (effect of time p<0.05) but was not significantly different between the two phases (effect of phase p>0.05) . The number of participants needing glucose supplementation (Dex4) to prevent hypoglycemia before and during exercise and recovery was significantly higher in the luteal versus the follicular phase (6/9 vs. 1/9, Fisher’s p=0.049) . Continuous glucose monitoring, however, showed no increase in the number of hypoglycemic episodes post exercise during the luteal phase. There were more post-exercise hyperglycemic episodes in the follicular versus the luteal phase (3±0.5 vs. 1.3±0.3, p=0.029) . These data suggest that females with T1D may be more prone to post-exercise hyperglycemia during the follicular phase, while needing more glucose supplementation to prevent hypoglycemia during the luteal phase of the menstrual cycle. These data should help guide recommendations for carbohydrate and insulin adjustment. Disclosure Z.Momeni: None. J.E.Yardley: Research Support; Abbott, Dexcom, Inc., LifeScan, Speaker's Bureau; Abbott Diabetes.

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)0.002
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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0070.000

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 head0.012
GPT teacher head0.262
Teacher spread0.250 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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