Abstracts of the 2023 World Congress on Spina Bifi da Research & Care – Mental Health & Weight-Related Behaviors
Bibliographic record
Abstract
Background: Children living with spina bifi da can experience reduced mobility and short stature.Mobility limitations increase with higher spinal lesion level and places children at risk for becoming overweight.Early-stage research of neurotypical preschoolers using the Child Feeding Questionnaire (CFQ) indicates misalignment between parent perception of their child's weight and BMI z-score.Our study investigated trends between parental perceptions of their child's weight and eating patterns, spinal lesion level and BMI z-score for children living with spina bifi da.Methods: The CFQ assesses parental beliefs, attitudes, and practices around child feeding.To reduce participant burden, only the "concern for child weight" subscale from the CFQ was used.CFQ data were collected by interview, over a 6-month period, from parents of children enrolled in a pediatric spina bifi da clinic.Lesion level and BMI z-score were obtained from the child's clinic record.Descriptive analysis explored frequency and potential associations between data elements.Results: Data collected from a sample of 54 children, age 2-17, evenly split by gender, and diagnosed with spina bifi da were analyzed.BMI-z score classifi ed 44% (n=24) of the sample as overweight.Within the overweight subsample, less than half the parents perceived their child as overweight and even fewer (29%) were unconcerned about their child becoming overweight.55% of the sample had a lesion level of mid-lumbar or higher and nearly ¾ of this sample were classifi ed as overweight by BMI z-score.Conclusions: The prevalence of overweight children in our sample is signifi cantly larger than the 19% reported for typically developing children.Eating can be one of the few activities that children living with spina bifi da often have control over and 'can feel normal' about.Parents and providers may be reluctant to eliminate this source of control and normality with diet restrictions.Healthy lifestyle programs must allow children the ability to maintain this control.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.231 | 0.081 |
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".