Relationship between MASC scores and diagnosis in a sample of children and adolescents 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 diagnosis, using the MASC questionnaire ( Multidimensional Anxiety Scale for Children ). Objectives 1. Describe the prevalence of the different anxiety disorders and the differences in its prevalence according to sex. 2. Examine possible differences and associtions between MASC questionnaire scores and a specific anxiety diagnosis. 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: sex, ICD-11 diagnosis, MASC’s subscales (Physical Symptoms, Harm Avoidance, Social Anxiety and Separation Anxiety) and CGI. Statistical analyzes were performed with STATA-15 program, using as independent variables MASC questionnaire and dependent one Anxiety Diagnosis. Results The sample contains 1024 patients. Figure 1 shows the distribution of Anxiety Disorders: Unspecified Anxiety Disorder (47%), Separation Anxiety Disorder (23%), Simple Phobias (9%) and Social Anxiety Disorder (7%). Figure 2 represents the distribution by sex, with the differences being statistically significant (p<0.05) for all anxiety disorders, meaning that girls have higher prevalence of all anxiety disorders. Figure 3 shows how age correlates significantly and directly with all the subscales, meaning the older the patients are the higher the scores. We also found that boys have lower scores and a lower percentage of alteration in all subscales. CGI scale also correlates positively with all the subscales, specially with Physical Symptoms. 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 (lobal prevalence of 6.5%, Rapee et al.2023). Prevalence for specific Anxiety Disorders in underage population are less reliable, because of the unequal age of samples (Rapee et al.2023). Separation Anxiety disorder is the most prevalent among children (La Maison et al., 2018), while Social Anxiety disorder is among adolescents (Lawrence et al.2015). We did not categorized our sample, being Separation Anxiety disorder the most frequent followed by Social Anxiety. We observed a correlation between some subscales and a specific diagnosis: the risk of presenting a Social Anxiety disorder is multiplied by 1.08 for each point of increase in that subscale and the risk of presenting a Separation Anxiety disorder is multiplied by 1.05 for each increase of 1 point in Separation Anxiety subscale. However, the diagnosis of Simple Phobia decreases with the increase in scores in all subscales, maybe due to the fact that there are not many items that specifically evaluate fears. 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 | 0.001 |
| 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".