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Record W2061720125 · doi:10.1016/s0304-3959(03)00090-3

Mothers’ modeling influences children's pain during a cold pressor task

2003· article· en· W2061720125 on OpenAlexaffabout
Julie E. Goodman, Patrick J. McGrath

Bibliographic record

VenuePain · 2003
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsHotel Dieu HospitalDalhousie University
Fundersnot available
KeywordsCold pressor testTask (project management)MedicineAnesthesiaPsychologyInternal medicineBlood pressureHeart rateEngineering

Abstract

fetched live from OpenAlex

We set out to determine whether observing one's mother's reaction during a cold pressor test changes ratings of pain threshold, pain intensity, and observed pain-related facial behavior during a cold pressor test, using a Repeated Measures Mixed Factorial design in the setting of the Psychology Department, Dalhousie University, Halifax, Canada. The participants were: 96 mothers (mean age 41 years,) and 96 children (48 males, mean age 12.6 years), all in good general health. Pain intensity was measured using a 0-10 rating scale. Pain threshold was measured by asking participants to signal the moment any pain began and recording time elapsed since immersion. The Child Facial Coding System (CFCS; Revised manual for the child facial coding system (unpublished). Dalhousie University and University of British Columbia; Chambers et al., 1996) measured pain-related facial behavior. Mothers assigned to the Exaggerate condition were instructed, via videotape, to slightly exaggerate their display of pain and indicate a pain threshold within the first 10-20 s of a 4-min cold pressor task using water at 10 degrees C. Mothers in the Minimize condition were instructed to minimize their display of pain. Mothers assigned to the Control condition were given no specific instructions. All mothers privately rated their own pain intensity every 30 s. Children then completed a similar cold pressor task and made similar ratings. Children assigned to the Exaggerate Group (mean 21.7 s; SD 3.9) had lower thresholds than did children in the Control Group (mean 35.6 s; SD 21.8; t(1,76)=2.515, P=0.014). No difference in threshold was observed between the Control and the Minimize Groups (mean 32.2 s; SD 4.2; t(1,76)=0.610, P=0.544). No differences were observed in the self-report pain ratings of children between groups (F<1). CFCS Scores were significantly lower in the Minimize group compared to the Control group (95% CI 4.98-20.19, P=0.001), but no difference was noted between the Exaggerate and Control groups (95% CI -8.03-6.93, P=0.884). Children's pain threshold and their facial behavior are altered by exposure to mother's behavior during a cold pressor task suggesting that modeling has an impact on a child's pain behavior.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
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)0.0000.000

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 head0.011
GPT teacher head0.242
Teacher spread0.231 · 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

Citations98
Published2003
Admission routes2
Has abstractyes

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