Efficacy of functional analysis for informing behavioral treatment of inappropriate mealtime behavior: A systematic review and meta‐analysis
Bibliographic record
Abstract
Children diagnosed with a feeding disorder often exhibit inappropriate mealtime behavior such as throwing or swiping food, which can exacerbate feeding difficulties during treatment. We conducted a meta‐analysis of 86 behavioral treatments for inappropriate mealtime behavior from 23 studies to assess the extent to which treatments based on a pretreatment functional analysis were more efficacious than those treatments not based on a functional analysis. Procedural escape extinction and attention extinction for inappropriate mealtime behavior, as well as differential reinforcement for food acceptance or consumption, represented the most common treatments independent of whether a functional analysis was conducted. No difference was detected between treatments that were and were not based on a functional analysis, and mean effect size across measures was identical (79%). The requirement of a pretreatment functional analysis for inappropriate mealtime behavior is equivocal given that standard care often includes efficacious treatment components that are not informed by a functional analysis.
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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 | 0.010 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.022 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".