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Record W2151546920 · doi:10.5539/gjhs.v8n4p158

A Study of Couple Burnout in Infertile Couples

2015· article· en· W2151546920 on OpenAlexvenueno aff
Fatemeh Ghavi, Safieh Jamale, Leili Mosalanejad, Zahra Mosallanezhad

Bibliographic record

VenueGlobal Journal of Health Science · 2015
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
FundersJahrom University of Medical Sciences
KeywordsInfertilityBurnoutClinical psychologyMedicinePsychologySimple random samplePregnancyPopulationEnvironmental health

Abstract

fetched live from OpenAlex

INTRODUCTION: Infertility is a major crisis that can cause psychological problems and emotionally distressing experiences, and eventually affect a couples' relationship. The objective of this study is to investigate couple burnout in infertile couples who were undergoing treatmentat the Infertility Clinic of Yazd, Iran. METHOD: The present study is a cross-sectional descriptive one on 98 infertile couples referringto the Infertility Centerof Yazd, Iran, who were chosen on a simple random sampling basis. The measuring tools consisted of the Couple Burnout Measure (CBM) and a demographic questionnaire. The collected data were analyzed using SPSS 16 and the statistical tests of ANOVA and t-test.P-values less than 0.05 were considered as significant. RESULTS: The results show that infertile women experience higher levels of couple burnout than their husbands (p<0.001). Also, a comparison of the scales of couple burnout--psychological burnout (p<0.01), somatic burnout (p<0.01), and emotional burnout (p<0.001)--between wives and husbands show that women are at greater risk. CONCLUSION: Infertile couples' emotional, mental, and sexual problems need to be addressed as part of the infertility treatment programs, and psychotherapists should be included in the medical team.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.008
Threshold uncertainty score0.717

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.090
GPT teacher head0.420
Teacher spread0.329 · 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

Citations17
Published2015
Admission routes1
Has abstractyes

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