Psychometric evaluation of novel hyperphagia questionnaires in a real-world setting for patients with a rare MC4R pathway disease
Bibliographic record
Abstract
BACKGROUND: There are no validated measures to assess hyperphagia associated with rare MC4R pathway diseases, such as Bardet-Biedl Syndrome (BBS). Symptoms of Hyperphagia© (SoH) and Impacts of Hyperphagia© (IoH) are novel questionnaires designed to assess signs and symptoms of hyperphagia and their impacts on patients and caregivers. We evaluated the psychometric performance of the caregiver-versions of the SoH: Caregiver (Observer-reported) and IoH: Caregiver (Observer-reported and Self-reported subscales). RESULTS: Reliability and validity were evaluated using data from a multi-country cross-sectional survey of adult caregivers of patients with BBS experiencing hyperphagia and obesity. Other instruments included were Impact of Weight on Quality of Life (IWQOL)-Kids (Parent Proxy), PROMIS Scale Global Health of Caregiver, Revised Impact on Family Scale (RIOFS), and Work Productivity and Activity Impairment. 242 eligible caregivers completed the survey. Exploratory factor analysis identified 1 factor per subscale. Strong internal consistency was observed for IoH: Caregiver (Observer) (Cronbach's a = 0.66) and IoH: Caregiver (Self) (a = 0.72) and moderate for SoH: Caregiver (Observer) (a = 0.40). Moderate-to-strong correlations were observed with school days missed and all domains of IWQOL-Kids except Physical Comfort (range = 0.315-0.573, p's < 0.001). Known-groups indicated significantly worse SoH: Caregiver subscores for patients using appetite suppressants or implementing more weight management approaches (6-10 vs. ≤5 or > 10). Caregivers reporting greater strain on RIOFS items and worse mental health had worse IoH subscores. CONCLUSIONS: The SoH: Caregiver and IoH: Caregiver demonstrated preliminary validity, reliability, and consistency in a real-world setting. Research is underway to further validate these measures for use in clinical trials for BBS and other MC4R pathway-related diseases associated with obesity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".