The role of social support on the relationships between internet use and sleep problems in adolescents during COVID-19 pandemic: a multicentre study.

BACKGROUND: This study examines the frequency of problematic internet use and sleep problems in adolescents aged 14-18 years during the COVID-19 pandemic and identifies the impact of factors such as sociodemographic characteristics, internet habits, changes in daily life, and perceived social support on these problems. METHODS: This multicentre study was a questionnaire-based online survey study. The questionnaire included the Young Internet Addiction Scale, the Pittsburgh Sleep Quality Index, and the Multidimensional Scale of Perceived Social Support, as well as questions about demographic information, internet habits, and changes in daily life during pandemic. Several multivariate Backward logistic regression models were run to determine the variables that predicted problematic internet use and poor sleep quality. RESULTS: It was determined that the frequency of problematic internet use was 15.5%, and the frequency of poor sleep quality was 47.8%. Poor sleep quality was found 2.5 times higher in problematic internet users. The perceived social support was found insufficient in adolescents with problematic internet use and poor sleep quality. Various factors such as the excessive use of internet and social media, low school success, lack of physical activity, lack of rules for internet use at home, and worsening of relationships with parents were found to be predictive factors for these problems. CONCLUSIONS: Problematic internet use during the pandemic is associated with worsening sleep quality in adolescents. It is important to create special interventions for problematic internet use and sleep problems that develop in adolescents as a result of restrictions during the pandemic.

Diagnostic value of lung ultrasonography in children with COVID-19.

BACKGROUND: Lung ultrasound (LUS) has been successfully used in the diagnosis of different pulmonary diseases. Present study design to determine the diagnostic value of LUS in the evaluation of children with novel coronavirus disease 2019 (COVID-19). METHODS AND OBJECTIVES: Prospective multicenter study, 40 children with confirmed COVID-19 were included. LUS was performed to all patients at admission. The chest X-ray and computed tomography (CT) were performed according to the decision of the primary physicians. LUS results were compared with chest X-ray and CT findings and diagnostic performance was determined. RESULTS: Of the 40 children median (range) was 10.5 (0.4-17.8) years. Chest X-ray and LUS were performed on all and chest CT was performed on 28 (70%) patients at the time of diagnosis. Sixteen (40%) patients had no apparent chest CT abnormalities suggestive of COVID-19, whereas 12 (30%) had abnormalities. LUS confirmed the diagnosis of pulmonary involvement in 10 of 12 patients with positive CT findings. LUS demonstrated normal lung patterns among 15 of 16 patients who had normal CT features. The sensitivity and the area under the receiver operating characteristics (ROC) curve (area under the ROC curve) identified by the chest X-ray and LUS tests were compared and statistically significantly different (McNemar's test: p = .016 and p = .001 respectively) detected. Chest X-ray displayed false-negative results for pulmonary involvement in 75% whereas for LUS it was 16.7%. CONCLUSIONS: LUS might be a useful tool in the diagnostic steps of children with COVID-19. A reduction in chest CT assessments may be possible when LUS is used in the initial diagnostic steps for these children.