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Record W2103910598 · doi:10.1016/j.ejpain.2008.04.010

Pain in childbirth and postpartum recovery – The role of catastrophizing

2008· article· en· W2103910598 on OpenAlexaff
Ida Flink, Magdalena Z. Mroczek, Michael Sullivan, Steven J. Linton

Bibliographic record

VenueEuropean Journal of Pain · 2008
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsMcGill University
Fundersnot available
KeywordsChildbirthPain catastrophizingMedicinePostpartum periodPhysical therapyPsychological interventionPregnancyPsychologyChronic painNursing

Abstract

fetched live from OpenAlex

This prospective study investigated how pain catastrophizing was related to labor pain intensity and physical recovery after childbirth. Eighty-eight women giving birth for the first time completed the first questionnaire before delivery. Eighty-two of those returned the second questionnaire after delivery. Participants were classified as catastrophizers (n=38) or non-catastrophizers (n=44) based on their scores on the Pain Catastrophizing Scale. Comparison of the groups showed that catastrophizers anticipated and experienced more intense pain (p<.0125) and had poorer physical recovery (p<.0125), measured as the level of self-reported functioning in activities of daily living, than non-catastrophizers. These results extend the association between catastrophizing and pain, to pain and recovery in childbirth and provide support for the fear-avoidance model. It is concluded that pain catastrophizing plays a role in the experience of pain in childbirth and postpartum recovery. Further research is needed to identify appropriate interventions for catastrophizing women during the latter part of pregnancy.

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)0.006
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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

Citations107
Published2008
Admission routes1
Has abstractyes

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