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Record W4400597609 · doi:10.5539/ijps.v16n3p35

Understanding Psychological Factors in Vulvodynia and Developing CBT-Based Treatment: Qualitative Study of Women in Ibiaku Issiet Community

2024· article· en· W4400597609 on OpenAlexvenueno aff
Imaobong Olsson

Bibliographic record

VenueInternational Journal of Psychological Studies · 2024
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsVulvodyniaPsychologyPsychotherapistQualitative researchClinical psychologyDevelopmental psychologySocial scienceMedicineSociology

Abstract

fetched live from OpenAlex

The research aimed to understand the psychological factors associated with vulvodynia among women in the Ibiaku Issiet community and to develop a culturally sensitive Cognitive Behavioral Therapy (CBT)-based treatment tailored to their specific needs and cultural context. The qualitative research design was employed, using semi-structured interviews with open-ended questions. Participants were women aged 20 to 50 from the community who experienced vulvodynia. Five different themes emerged from the data analysis, such as lack of cultural awareness, stigma and shame, guilt, anxiety, and depression. The findings suggest that cultural norms and attitudes regarding sexuality, gender roles, and pain expression significantly influence the diagnosis, treatment, and management of vulvodynia. These psychological factors of anxiety and depression were found to be closely linked to increased pain severity and disability in vulvodynia, profoundly affecting women's quality of life, emotional well-being, sexual function, and relationships. The study recommends enhancing awareness and understanding of vulvodynia within the Ibiaku Issiet community through educational initiatives that provide comprehensive information about the condition, its symptoms, and available treatment options.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.536
GPT teacher head0.564
Teacher spread0.028 · 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 source (direct Gemma or distilled Codex), not a consensus.

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