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Record W2737179304 · doi:10.1016/j.sjpain.2017.07.002

Behavioral inhibition, maladaptive pain cognitions, and function in patients with chronic pain

2017· article· en· W2737179304 on OpenAlexaff
Mark P. Jensen, Ester Solé, Elena Castarlenas, Mélanie Racine, Rubén Roy, Jordi Miró, Douglas Cane

Bibliographic record

VenueScandinavian Journal of Pain · 2017
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsNova Scotia Health AuthorityWestern University
Fundersnot available
KeywordsChronic painPain catastrophizingTraitWorryCognitionClinical psychologyDepressive symptomsMedicineDepression (economics)PsychologyPsychiatryAnxiety

Abstract

fetched live from OpenAlex

BACKGROUND AND AIMS: Trait behavioral inhibition represents a tendency to react with negative emotions - primarily worry - to cues which signal potential threats. This tendency has been hypothesized by a two-factor model of chronic pain to have direct effects on psychological and physical function in individuals with chronic pain, as well as to influence the associations between pain-related maladaptive cognitions and function. Our aim was to test these hypothesized associations in a sample of individuals who were being screened for possible interdisciplinary chronic pain treatment. METHODS: Eighty-eight patients referred to an interdisciplinary chronic pain management program were administered measures of average pain intensity, trait behavioral inhibition, kinesiophobia, pain catastrophizing, depressive symptoms, and pain interference. We then performed two linear regression analyses to evaluate the direct effects of trait behavioral inhibition on depressive symptoms and pain interference and the extent to which behavioral inhibition moderated the associations between kinesiophobia and pain catastrophizing, and the criterion variables. RESULTS: In partial support of the study hypotheses, the results showed significant (and independent) direct effects of trait behavioral inhibition on depressive symptoms, and behavioral inhibition moderated the association between kinesiophobia and depression, such that there were stronger associations between kinesiophobia and depressive symptoms in those with higher dispositional sensitivity to fear-inducing stimuli. However, neither direct nor moderating effects of behavioral inhibition emerged in the prediction of pain interference. CONCLUSIONS: If replicated in additional studies, the findings would indicate that chronic pain treatments which target both reductions in maladaptive cognitions (to decrease the direct negative effects of these on depressive symptoms) and the individual's tendency to respond to pain with worry (as a way to buffer the potential effects of maladaptive cognitions on depressive symptoms) might be more effective than treatments that targeted only one of these factors. IMPLICATIONS: Additional research is needed to further evaluate the direct and moderating effects of pain-related behavioral inhibition on function, as well as the extent to which treatments which target behavioral inhibition responses provide benefits to individuals with chronic pain.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.259
Teacher spread0.249 · 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".

Quick stats

Citations19
Published2017
Admission routes1
Has abstractyes

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