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Record W4391488566 · doi:10.23880/nhij-16000302

The Menstrual Cycle

2024· article· en· W4391488566 on OpenAlexfundno aff
Rehan Haider

Bibliographic record

VenueNursing & Healthcare International Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsnot available
FundersUniversity of KarachiUniversity of Calgary
KeywordsMenstrual cycleMedicineInternal medicine

Abstract

fetched live from OpenAlex

This study examines menstrual cycle characteristics and associated symptoms in 200 females aged 18 to 45 with regular menstrual cycles. Using a dedicated app, participants meticulously recorded menstrual syndromes over three months. Results show a mean cycle length of 28.5 days (SD = 2.3) and an average cessation duration of 5.2 days (SD = 1.1). Common symptoms include cramps (85%, severity = 6.2), mood swings (70%, severity = 5.8), and bloating (60%, severity = 4.5). Correlation analysis indicates a positive association between cycle length and cramp severity (r = 0.42, p < 0.01). However, no significant correlations are found between cycle length and mood swing (r = 0.12, p > 0.05) or bloating severity (r = 0.18, p > 0.05). This study provides nuanced insights into menstrual cycle variability, emphasizing the necessity of individualized symptom assessments for comprehensive reproductive health. The findings highlight the complexity of symptom manifestation and suggest that factors beyond cycle duration influence mood swing and bloating severity. This research lays the groundwork for future investigations into the multifaceted dynamics of menstrual health.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.956
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.023
GPT teacher head0.423
Teacher spread0.400 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations0
Published2024
Admission routes1
Has abstractyes

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