Normative data for female adolescents with eating disorders on the multidimensional anxiety scale for children
Bibliographic record
Abstract
OBJECTIVE: To provide normative data on the Multidimensional Anxiety Scale for Children (MASC) for female adolescents presenting for eating disorder (ED) treatment. METHOD: This study is part of the Helping to Outline Paediatric Eating Disorders Project registry (N ∼ 1,000), a prospective ongoing registry study comprising consecutive pediatric tertiary ED referrals. Female adolescents (N = 278; 13-17 years) with EDs completed the MASC at intake. RESULTS: Summary data including percentiles are given for the MASC total and subscales. MASC scores were higher than community norms as expected and increased with age (p <.001) and an anorexic spectrum diagnosis (p < .001). DISCUSSION: The norms reported will aid clinicians in the understanding and interpretation of individual MASC scores among female adolescents with EDs and could assist future research to better understand the role of anxiety in the onset and maintenance of EDs.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".