Association and predictor role of MASC scores in pharmacological or psychological treatment indication in a sample of children and adolescent in Spain
Bibliographic record
Abstract
Introduction Anxiety is one of the most common Mental Health diagnosis in underage population. We decided to study if there was any variable that would lead us to a specific treatment indication using the MASC (Multidimensional Anxiety Scale for Children). Objectives Prevalence of psychiatric disorders and comorbidities in an underage population. Possible association between MASC questionnaire scores and the indication for pharmacological and/or psychological treatment. Methods This is a descriptive, observational, retrospective, quantitative study with data from patients between June 2016 and 2023. Inclusion criteria : 3-18 year-old-spanish-speakers who met criteria for a ICD-11 disorder. Exclusion criteria : absence of legal representatives, intellectual disability. Variables: Age, sex, psychiatric family history, ICD-11 diagnosis, treatment indication and MASC’s subscales (physical symptoms, harm avoidance, social anxiety and separation anxiety). Statistical analyzes were performed with STATA-15 program, using as independent variables MASC questionnaire, and dependent ones the indication treatment and diagnosis. Results The sample contains 1024 patients, with a mean age of 12 (SD 4.028). Table 1 shows that the most frequent diagnosis is ADHD, with combined presentation with a prevalence of 22.27%, followed by Anxiety Disorders, without differentiating by subtypes (17.93%). It also shows that Defiant and Oppositional Disorder is the most prevalent comorbidity (9.66%) followed by Anxiety Disorder not specified (4.99%). Table 2 stands that there are significantly higher scores in all MASC subscales in those patients who do have prior psychiatry family history. We founf in Table 3 statistically significant differences were found between the score on the Physical Symptoms subscale based on whether the patient was undergoing previous treatment, both pharmacological (8.45 vs. 7.59) and psychological treatment (9.01 vs. 7.95) compared to those who were not (pharmacological 7.36 vs. 7.06), psychological (7.21 vs. 6.92). All these data have been adjusted. Image: Image 2: Image 3: Conclusions Anxiety disorders are the most common form of Mental Disorder in young people, with a global prevalence of 6.5% (Rapee et al.2023). However, in our sample the most common one is ADHD as our center is specialized in it. We found that the most prevalent one was Oppositional Defiant Disorder, as it is the most frequent comorbidity of ADHD (Vallejo-Valdivielso et al,2019; Faraone et al,2021). The increase of one point in the Physical Anxiety subscale increases the probability of indicating pharmacological treatment, which could be explained because of how functional limitation these symptoms cause. The increase in all the subscales of the MASC implies an increase in the probability of an indication for psychological treatment as it is the gold-standard treatment for anxiety in children. Disclosure of Interest None Declared
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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 | 0.000 | 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 | 0.000 | 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".