Parent physical and mental health contributions to interpersonal fear avoidance processes in pediatric chronic pain
Bibliographic record
Abstract
Theoretical models and evidence increasingly identify chronic pain as a family issue. To date, much of this work has focused on risk conferred by parental chronic pain status despite evidence suggesting parent mental illness and non-pain-related chronic illness may also contribute to poorer chronic pain outcomes in children. This study is the first to test interpersonal fear avoidance processes as possible mechanisms through which parent health (mental and physical) influences pediatric chronic pain functioning. We used structural equation models to test such an integrative model using cross-sectional data from a large clinical registry of 448 dyads of patients aged between 8 and 18 years (M = 14.57 years; SD = 2.38; 327 females) with mixed chronic pain and their parents (403 mothers). As expected, poorer parent global health was indirectly related to greater child pain interference through higher parent pain catastrophizing, and then through greater parent protective behaviors and child pain catastrophizing. The model demonstrated excellent fit to the data (χ[5] = 5.04, ns; χ/df = 1.01; comparative fit index = 1.00, root mean square error of approximation = 0.004 [90% confidence interval = 0.000 to 0.066]). Exploratory multiple-group comparison structural equation model revealed moderation of specific model paths based on child age group (8- to 12-year-olds vs 13- to 18-year-olds) and parent pain status (present vs absent). This study integrates family models of pain with the interpersonal fear avoidance model to extend our mechanistic understanding of parental physical and mental health contributors to pediatric chronic pain.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".