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Examining The Potential Involvement Of Ovarian Hormones On Appetite In Females Across The Menstrual Cycle

2022· article· en· W4294839789 on OpenAlexaff
Jessica A L Tucker, Sara Moniz, Abigail A. Broad, Tom J. Hazell

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2022
Typearticle
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsAppetiteGhrelinInternal medicineEndocrinologyMenstrual cycleHormoneFollicular phaseMedicineLuteal phaseLeptinPeptide YYObesityReceptorNeuropeptide Y receptorNeuropeptide

Abstract

fetched live from OpenAlex

Appetite regulation has exclusively been examined during the follicular phase (FP) of themenstrual cycle, and it remains unclear whether the greater levels of ovarian hormones estradiol (E2) and progesterone (P4) in the luteal phase (LP) affect this process. PURPOSE: To utilize vigorous-intensity continuous training (VICT) as a method to increase plasma concentrations of E2 and P4 and examine their associations with post-exercise alterations in acylated ghrelin, peptide tyrosine-tyrosine3-36 (PYY3-36), active glucagon like peptide-1 (GLP-1), subjective appetite perceptions, and energy intake across the menstrual cycle. METHODS: Eight women (age: 22 ± 3 y, BMI: 23.6 ± 3.9 kg·m-2, V̇O2max: 37.9 ± 4.5 mL·kg-1·min-1) completed 30 min of VICT (80% V̇O2max) in both the FP and LP. Ovarian (E2, P4) and appetite hormones (acylated ghrelin, PYY3-36, active GLP-1) as well as appetite perceptions were measured pre-, 0-, 30-, and 90-min post-exercise while energy intake was recorded for a 2-day period beginning the day of the experimental session. Two-way repeated measures analysis of variance were conducted to determine differences in hormones, energy intake, and appetite perceptions. RESULTS: E2 increased immediately post-exercise in both the FP and LP (17% or 13.4 pgmL-1; P = 0.041, ƒ = 0.71) with an increase in P4 trending towards significance in the LP (17% or 2.1 ngmL-1 P = 0.078, ƒ = 0.23). Acylated ghrelin was lower in the FP compared to the LP (-50% or -68.6 pgmL-1; P = 0.029, ƒ = 1.03) immediately post-exercise but greater at 90 min post-exercise compared to immediately post-exercise (78% or 106.3 pgmL-1, P = 0.036, ƒ = 0.87) and 30 min post-exercise (78% or 106.2 pgmL-1, P = 0.014) in both phases. Active GLP-1 was elevated at 30 min compared to 90 min post-exercise (39% or 5.8 pMmL-1; P = 0.016, ƒ = 0.73) with no differences between phases (P = 0.238, ƒ = 0.44). There were no observable effects of exercise or menstrual cycle phase on PYY3-36 (P = 0.305, ƒ = 0.41), overall appetite (P = 0.616, ƒ = 0.25), or free-living energy intake (P = 0.244, ƒ = 0.44). CONCLUSION: The post-exercise suppression of acylated ghrelin may be blunted in the presence of elevated ovarian hormones in the LP, though this effect may not play a role in the anorectic effect of exercise and the differences seen in energy intake across the menstrual cycle.

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)0.000
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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.034
GPT teacher head0.286
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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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