MétaCan
Menu
Back to cohort

Impact of Adult Attachment Styles on Pain and Disability Associated With Arthritis in a Nationally Representative Sample

2000· article· en· W2008771454 on OpenAlexaff
Lachlan A. McWilliams, Brian J. Cox, Murray W. Enns

Bibliographic record

VenueClinical Journal of Pain · 2000
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsComorbidityAttachment theoryMedicineNational Comorbidity SurveyClinical psychologyChronic painPhysical disabilityInsecure attachmentPsychiatryPhysical therapy

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this study was to evaluate Mikail et al.'s hypothesis that adult attachment styles are associated with important pain-related variables such as pain and disability levels. DESIGN: A cross-sectional design was used to examine the relation between measures of adult attachment styles and both pain and disability. SETTING: The data used were obtained from the National Comorbidity Survey, a large and nationally representative sample of community-dwelling individuals aged 15 to 54 years. In the present study, individuals (n = 381) in the National Comorbidity Survey with arthritis or related conditions were included. OUTCOME MEASURES: Ratings regarding three adult attachment styles (secure, anxious, and avoidant) were obtained by administering Hazan and Shaver's attachment self-report in an interview format. Pain and disability were assessed in a similar manner using four-point rating scales. RESULTS: Ratings of insecure attachment were positively and significantly correlated with both pain and disability. A multiple regression analysis revealed that pain severity and the rating of anxious attachment could account for 20.3% of the variance in disability. CONCLUSIONS: The attachment theory holds promise for understanding reactions to pain conditions, and Mikail et al.'s model warrants further investigation.

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)0.006
metaresearch head score (Gemma)0.004
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 score0.041
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.464
Teacher spread0.421 · 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

Citations75
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueClinical Journal of PainSame topicAttachment and Relationship DynamicsFrench-language works237,207