Validation of the youth version of the Alimetry® Gut-Brain Wellbeing Survey: A mental health scale for young people with chronic gastroduodenal symptoms
Bibliographic record
Abstract
Abstract Background Chronic gastroduodenal symptoms present significant challenges for young people, often negatively impacting their quality of life and mental health. However, there is currently a lack of validated tools to assess mental health in young people with chronic gastroduodenal symptoms. This research outlines the development and validation of the Alimetry® Gut-Brain Wellbeing Survey-Youth Version (AGBW-Y), a novel tool for assessing mental health in young people with chronic gastroduodenal symptoms aged 12-17 years. Methods An iterative multi-phase approach was employed. In Phase 1, feedback was gathered from 19 paediatric clinicians in the gastroenterology field and 33 young people over multiple rounds to adapt the adult version of the AGBW Survey to be age-appropriate for young people aged 12-17 years. In Phase 2, rigorous psychometric testing of the adapted scale was conducted in a sample of 128 patients aged 12-17 years with chronic gastroduodenal symptoms, using an anonymous online survey. Results Based on the feedback from Phase 1, an interdisciplinary team of experts improved the survey’s language and usability for young people, including the removal of reverse-coded items. These adjustments enhanced the scale’s clarity, acceptability, and face and content validity. The final AGBW-Y comprises a patient preface, an opt-out option, 10 closed-ended questions, and an optional open-ended question. It assesses general mental health, alongside subscales of depression, stress, and anxiety. Phase 2 demonstrated excellent psychometric properties of the scale, including high internal consistency (α= .91 for the total scale; α= .75-.85 for subscales) and strong convergent, divergent, and concurrent validity with large effect sizes. Conclusions The AGBW-Y is a brief, reliable, and valid tool to assess mental health in young people with chronic gastroduodenal symptoms. This novel scale was developed through a rigorous co-design process with clinicians and young people, ensuring it is contextually relevant and clinically impactful. The AGBW-Y complements existing physiological assessments, enabling more accurate mental health evaluations which can be used to guide psychological referrals, support multidisciplinary care, and evaluate treatment outcomes.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".