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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

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

Lutein (Lut) and zeaxanthin (Zeax) are found in the blood and are deposited in the retina (macular pigment). Both are found in the diet in free form and esterified with fatty acids. A high intake and/or status is associated with a lower risk of chronic diseases, especially eye diseases. There is a large global demand for Lut in the dietary supplement market, with marigold flowers being the main source, mainly as lutein esters. As the bioavailability of Lut from free or ester forms is controversial, our aim was to assess the bioavailability of Lut (free vs. ester) and visual contrast threshold (CT). Twenty-four healthy subjects (twelve women, twelve men), aged 20-35 and 50-65 years, were enrolled in a cross-sectional study to consume 6 mg lutein/day from marigold extract (free vs. ester) for two months. Blood samples were taken at baseline and after 15, 40, and 60 days in each period. Serum Lut and Zeax were analysed using HPLC, and dietary intake was determined with a 7-day food record at the beginning of each period. CT, with and without glare, was at 0 and 60 days at three levels of visual angle. Lut + Zeax intake at baseline was 1.9 mg/day, and serum lutein was 0.36 µmol/L. Serum lutein increased 2.4-fold on day 15 (up to 0.81 and 0.90 µmol/L with free and ester lutein, respectively) and was maintained until the end of the study. Serum Zeax increased 1.7-fold. There were no differences in serum Lut responses to free or ester lutein at any time point. CT responses to lutein supplementation (free vs. ester) were not different at any time point. CT correlated with Lut under glare conditions, and better correlations were obtained at low frequencies in the whole group due to the older group. The highest correlations occurred between CT at high frequency and with glare with serum Lut and Lut + Zeax. Only in the older group were inverse correlations found at baseline at a high frequency with L + Z and with Lut/cholesterol and at a low frequency with Lut/cholesterol. In conclusion, daily supplementation with Lut for 15 days significantly increases serum Lut in normolipemic adults to levels associated with a reduced risk of age-related eye disease regardless of the chemical form of lutein supplied. Longer supplementation, up to two months, does not significantly alter the concentration achieved but may contribute to an increase in macular pigment (a long-term marker of lutein status) and thus improve the effect on visual outcomes.