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Record W4405393442 · doi:10.29063/ajrh2024/v28i11.11

Self-esteem, defense mechanisms, sexual satisfaction and stress coping mechanisms in individuals treated for vaginismus: A controlled study

2024· article· en· W4405393442 on OpenAlexafffund
Tülay Yılmaz Bingöl, Nermın Gürhan, Gökçen Erdoğan, Bahadır Geniş

Bibliographic record

VenueAfrican Journal of Reproductive Health · 2024
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsWomen's Health Research Institute
FundersInternational Development Research Centre
KeywordsVaginismusSpouseClinical psychologyPopulationCoping (psychology)Self-esteemPsychologyPsychiatryMedicineSexual dysfunction

Abstract

fetched live from OpenAlex

The aim of study was to analyze the extent to which treatment for vaginismus affect self-esteem, defense mechanisms, sexual satisfaction and coping with stress. Was conducted as aquasi-experimental, cross-sectional study. The population of the study consisted of womenwho were followed up with the diagnosis of vaginismus in obstetrics clinic. As data collection tools, "Personal Information Form", "Coopersmith Self-Esteem Inventory", "Sexual Satisfaction Scale", "Coping Response Inventory" and "Defense Style Questionnaire" wereused. When people who were diagnosed with vaginismus and accepted treatment were asked about the reasons for demanding treatment, 11.4% of them responded that they experienced pain during sexual intercourse, 4.7% stated that they wanted to able to continue their marriage, and 2.8% of them stated that they wanted to gain self-confidence. When asked for whom they wanted the treatment of the disease, 61 of the participants responded, and 14 of them answered for "Me and my spouse" while 29 for "My spouse" and 18 for "Myself". It was revealed that self-esteem, defense mechanisms, sexual satisfaction and coping with stress are important factors in initiation, maintenance and completion of treatment in patients and that these factors should be especially emphasized during the treatment process.

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)0.001
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 score0.218
Threshold uncertainty score0.751

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.036
GPT teacher head0.332
Teacher spread0.296 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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