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Record W2097437641 · doi:10.5539/gjhs.v6n2p105

Premenstrual Syndrome Symptomatology among Married Women of Fertile Age based on Methods of Contraception (Hormonal versus Non-Hormonal Methods of Contraception)

2013· article· en· W2097437641 on OpenAlexvenueno aff
Nour‐Mohammad Bakhshani, Mohsen Hosseinbor, Zahra Shahraki, Nahid Sakhavar

Bibliographic record

VenueGlobal Journal of Health Science · 2013
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsnot available
FundersZahedan University of Medical Sciences
KeywordsHormonal contraceptionMedicinePillBirth controlHormoneFamily planningEstrogenGynecologyLevonorgestrelPopulationObstetricsResearch methodologyInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Premenstrual syndrome (PMS) refers to the cyclic occurrence of a set of disturbing physical, emotional or behavioral alterations that are of sufficient severity to interfere with interpersonal relations and routine life. Normal variations in gonadal estrogen and progesterone lead to biochemical reactions in the brain, resulting in PMS symptoms. This study aims to investigate the prevalence of PMS and PMDD signs among married women of fertile age (MWFA) based on the methods of birth control. METHOD AND MATERIALS: In a descriptive study, a number of 400 married women referring to 20 family healthcare clinics that use contraceptive methods were recruited and PMS questionnaire were administered to them. RESULTS: From 400 subjects, 205 took oral contraceptive pills (hormonal methods of contraception) and 195 used other birth control methods (non-hormonal method). A number of 345 subjects (86.25%) at least experienced one PMS symptom and 55 subjects (13.75%) did not report any symptoms. Of those who use hormonal contraceptives (HCs), 182 (88.8%) reported PMS symptoms and 23(11.2) lacked any symptoms. CONCLUSION: About 86% of the subjects showed moderate to severe of PMS symptoms. Although using hormonal contraceptive method can theoretically reduce PMS symptoms, such effect was not observed in this study. The results of this research should be generalized with caution. Future studies are suggested.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.030
GPT teacher head0.416
Teacher spread0.386 · 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 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

Citations16
Published2013
Admission routes1
Has abstractyes

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