Sleep Disordered Breathing (SDB) is a complex disease which etiology is multifactorial and poorly understood. The most severe form of sleep disturbance is the obstructive apnea. Unlike children whose problem with the airflow obstruction through the upper airway is largely related to the hypertrophy of the adenotonsillary tissue, in adults is the etiology more complex. Untreated OSA has many acute and long-term consequences on the health of adults and children. In adults, it leads to the numerous cardiovascular, pulmonary, endocrinological diseases including the metabolic syndrome. In children, together with the earlier development of complications and diseases reported in adults, except for a negative impact on the physical health, untreated OSA causes specific behavioral and neurocognitive changes (hyperactivity, attention and concentration disorder, aggression). Although the full-night polysomnography is the gold standard in the diagnosis of sleep disorders, it is often inaccessible due to a low number of certified centers for breathing disorders during sleep, high equipment costs and the need for an additional staff training, which is especially pronounced in the Republic of Croatia. Since the obstructive sleep apnea is the most common reason for tonsilladenoidectomy in children, and the availability of polysomnography as the gold standard for diagnosis is poor, the q uestion of a feasibility study for the risk assessment model of the obstructive sleep apnea category in children according to the local findings and the clinical indicators (age, BMI, palatal tonsils size, adenoid size, and modified Mallampati score) was r aised. For all the foregoing reasons, the aim of this study was to investigate how the examined clinical parameters correlate with the full-night polysomnography findings and to make the feasibility study of a model that could serve clinicians when deciding which children are at increased risk for a severe disease, that is, children who require rapid, prompt intervention. (most commonly surgery – adenotonsillectomy). A total of 94 children with the suspected respiratory disorders while sleeping were include d in the study. Before referring to the full night polysomnography we recorded the age, sex, and body mass index of a child, and from the local clinical indicators, the relationship of a language to the oropharyngeal structures (modified Mallampati score), tonsil size and adenoid size. A correlation of the mentioned tested parameters with AHI index obtained after the full night recording (PSG) was investigated. A logistic regression model was analyzed with the tested parameters as well as the sensitivity an d specificity calculation of that logistic regression model with the ROC curve analysis and positive and negative predictive values were calculated. The sensitivity of the model tested in this way has proved to be very good (80%) with a slightly lower but still good specificity (70%). The examined clinical parameters (modified Mallampati score, tonsil size and adenoid size) correlate significantly with the size of the AHI index, that is disease degree. Based on the clinical parameters and on the logistic r egression model we can determine for each new patient the probability of belonging to a particular group of the obstructive apnea severity. In conclusion, the results of this dissertation and the scientific contribution itself are reflected in the proposal of the model for OSA risk assessment in children based on the integrated clinical indicators and local findings which would, in a case of impossibility to conduct the full-night polysomnography, have a significant specificity and reliability, and thus facilitate clinicians in deciding which children with breathing disorders during sleep require faster intervention in cases where the full-night polysomnography as a gold standard research is not available.