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Record W2512776569 · doi:10.5539/gjhs.v9n4p233

Premenstrual Syndrome and Spousal Social Support among Women in Isfahan City (Iran)

2016· article· en· W2512776569 on OpenAlexvenueno aff
Hajar Rezaee, Maryam Amidi Mazaheri, Fatemeh Sadrhashemi

Bibliographic record

VenueGlobal Journal of Health Science · 2016
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsSocial supportMedicineSocial functionPsychologyDescriptive researchDemographySocial psychologySociology

Abstract

fetched live from OpenAlex

<p>Premenstrual Syndrome (PMS) is one of the most common disorders in women known to cause impairment of daily function and relationships with others. This study was down to investigate the premenstrual syndrome, physical activity and spousal social support status among women in Isfahan city. This descriptive-analytical study was down in health centers of Isfahan city in Iran 2015. The study populations were 190 couples in reproductive age; symptoms of premenstrual syndrome and spousal social support information were collected by self-report questionnaires. American College of Obstetricians and Gynecologists (ACOG) criteria were used to diagnose PMS. Data were analyzed by SPSS20. According to the data 79.5% of women were diagnosed with premenstrual syndrome. Desirable spousal social support in premenstrual and during the period were obtained in 12.6% and 16.3% respectively. Considering the large number of women suffering from PMS and unfavorable situation of spousal social support, holding educational programs for women and men to deal better with this issue are recommended.</p>

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)0.004
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.351
Teacher spread0.321 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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