Fear avoidance, fear of falling, and pain disability in hypermobile Ehlers-Danlos syndrome and hypermobility spectrum disorders
Bibliographic record
Abstract
PURPOSE: Hypermobile Ehlers-Danlos Syndrome (hEDS) and Hypermobility Spectrum Disorders (HSD) are understudied conditions characterized by hallmark hypermobility and chronic pain. Disease manifestations lead to significant disability. Understanding predictors of disability, over and above the univariate construct of pain severity, is necessary to tailor treatment. Thus, the current study examined the impact of the Fear-Avoidance Model [FAM] on disability in hEDS/HSD. Fear of falling was included as a novel fear-avoidance factor impacting disability. METHODS: A total of 168 individuals with hEDS/HSD answered a cross-sectional online survey regarding FAM constructs, fear of falling, disability, and clinical-demographic factors. A hierarchical regression analysis was used to assess whether FAM constructs and fear of falling significantly predicted disability, over and above pain severity and age. RESULTS: Pain catastrophizing, anxiety, and fear of falling contributed significant unique predictive relations, above age and average pain severity. Pain severity and fear of falling were the strongest unique predictors of disability. CONCLUSIONS: This is the first study to assess the relations among FAM constructs, pain severity, and disability in hEDS/HSD, and introduces fear of falling as a novel fear-avoidance factor specific to this population. Future research should apply these findings towards individualized interventions to improve disability in hEDS/HSD.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| 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".