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Record W2975993075 · doi:10.1016/j.jsxm.2019.08.012

Self-Efficacy Mediates the Attachment-Pain Association in Couples with Provoked Vestibulodynia: A Prospective Study

2019· article· en· W2975993075 on OpenAlexafffund
Véronique Charbonneau‐Lefebvre, Marie‐Pier Vaillancourt‐Morel, Audrey Brassard, Marc Steben, Sophie Bergeron

Bibliographic record

VenueThe Journal of Sexual Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsClinique Paro ExcellenceUniversité du Québec à Trois-RivièresUniversité de SherbrookeUniversité de Montréal
FundersCanadian Institutes of Health ResearchFonds de recherche du Québec
KeywordsPain catastrophizingAnxietyPsychologyClinical psychologyChronic painAssociation (psychology)Self-efficacyCoping (psychology)Prospective cohort studyMediationPhysical therapyMedicinePsychiatryPsychotherapistInternal medicine

Abstract

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INTRODUCTION: Attachment influences the way individuals anticipate, react, and seek support when faced with chronic pain. Although cross-sectional research indicates that attachment insecurity and pain self-efficacy are associated with pain intensity in chronic pain populations, little is known about their long-term effects on pain, and about the directionality of associations between these constructs. Furthermore, whereas attachment is a relational concept, few studies on genito-pelvic pain have espoused a couples' perspective. AIM: Using a prospective dyadic design, the present study aimed to examine the directionality of the associations among attachment dimensions, pain self-efficacy, and pain intensity in couples coping with provoked vestibulodynia (PVD). A second aim was to test whether pain self-efficacy mediated the attachment-pain association. METHODS: 213 couples coping with PVD completed self-report questionnaires at baseline (T1) and at a 2-year follow-up (T2). MAIN OUTCOME MEASURE: (1) Experiences in Close Relationships - Revised; (2) Painful Intercourse Self-Efficacy Scale; and (3) 10-point Numerical Rating Scale for pain intensity. RESULTS: Autoregressive cross-lagged models revealed that women's greater attachment anxiety and avoidance at T1 predicted their greater pain intensity at T2. Women's greater attachment anxiety at T1 predicted their poorer pain self-efficacy at T2, and poorer pain self-efficacy in women at T1 predicted their higher pain intensity at T2. A mediation model showed that women's lower pain self-efficacy at T2 fully mediated the association between women's higher attachment anxiety at T1 and their higher pain intensity at T2. Partners' attachment dimensions did not predict their own or women's pain self-efficacy nor pain intensity. CLINICAL IMPLICATIONS: Results suggest that greater attachment anxiety may contribute to women with PVD's lower confidence that they can manage their pain, which leads to long-term persistent pain. This study highlights the importance of assessing attachment and pain self-efficacy in women with genito-pelvic pain and to consider interventions targeting these variables, as they have far-reaching consequences. STRENGTH & LIMITATIONS: The use of longitudinal and dyadic data inform interpersonal processes and the long-term implications of attachment and pain self-efficacy in PVD. The use of self-report measures may introduce a social desirability and recall bias. CONCLUSION: This prospective dyadic study adds to a body of literature on PVD and chronic pain by empirically supporting theoretical models on attachment, pain self-efficacy, and persistent pain, and supports the role of psychosocial factors in the adjustment to PVD. Charbonneau-Lefebvre V, Vaillancourt-Morel M-P, Brassard A, et al. Self-Efficacy Mediates the Attachment-Pain Association in Couples with Provoked Vestibulodynia: A Prospective Study. J Sex Med 2019;16:1803-1813.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.018
GPT teacher head0.291
Teacher spread0.274 · 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 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".

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Citations13
Published2019
Admission routes2
Has abstractyes

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